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default)","format":"openclaw","source":"/usr/lib/node_modules/openclaw/dist/extensions/tokenjuice/index.js","rootDir":"/usr/lib/node_modules/openclaw/dist/extensions/tokenjuice"},{"id":"twitch","name":"@openclaw/twitch","version":"2026.4.20","description":"OpenClaw Twitch channel plugin","origin":"bundled","enabled":false,"explicitlyEnabled":false,"activated":false,"activationSource":"disabled","activationReason":"bundled (disabled by default)","status":"disabled","error":"bundled (disabled by default)","format":"openclaw","source":"/usr/lib/node_modules/openclaw/dist/extensions/twitch/index.js","rootDir":"/usr/lib/node_modules/openclaw/dist/extensions/twitch"},{"id":"venice","name":"Venice Provider","version":"2026.4.20","description":"Bundled Venice provider plugin","origin":"bundled","enabled":true,"explicitlyEnabled":false,"activated":true,"activationSource":"default","activationReason":"bundled default enablement","status":"loaded","format":"openclaw","source":"/usr/lib/node_modules/openclaw/dist/extensions/venice/index.js","rootDir":"/usr/lib/node_modules/openclaw/dist/extensions/venice","providerIds":["venice"]},{"id":"vercel-ai-gateway","name":"Vercel AI Gateway Provider","version":"2026.4.20","description":"Bundled Vercel AI Gateway provider plugin","origin":"bundled","enabled":true,"explicitlyEnabled":false,"activated":true,"activationSource":"default","activationReason":"bundled default enablement","status":"loaded","format":"openclaw","source":"/usr/lib/node_modules/openclaw/dist/extensions/vercel-ai-gateway/index.js","rootDir":"/usr/lib/node_modules/openclaw/dist/extensions/vercel-ai-gateway","providerIds":["vercel-ai-gateway"]},{"id":"vllm","name":"vLLM Provider","version":"2026.4.20","description":"Bundled vLLM provider plugin","origin":"bundled","enabled":true,"explicitlyEnabled":false,"activated":true,"activationSource":"default","activationReason":"bundled default enablement","status":"loaded","format":"openclaw","source":"/usr/lib/node_modules/openclaw/dist/extensions/vllm/index.js","rootDir":"/usr/lib/node_modules/openclaw/dist/extensions/vllm","providerIds":["vllm"]},{"id":"voice-call","name":"@openclaw/voice-call","version":"2026.4.20","description":"OpenClaw voice-call plugin","origin":"bundled","enabled":false,"explicitlyEnabled":false,"activated":false,"activationSource":"disabled","activationReason":"bundled (disabled by default)","status":"disabled","error":"bundled (disabled by default)","format":"openclaw","source":"/usr/lib/node_modules/openclaw/dist/extensions/voice-call/index.js","rootDir":"/usr/lib/node_modules/openclaw/dist/extensions/voice-call"},{"id":"volcengine","name":"Volcengine Provider","version":"2026.4.20","description":"Bundled Volcengine provider plugin","origin":"bundled","enabled":true,"explicitlyEnabled":false,"activated":true,"activationSource":"default","activationReason":"bundled default enablement","status":"loaded","format":"openclaw","source":"/usr/lib/node_modules/openclaw/dist/extensions/volcengine/index.js","rootDir":"/usr/lib/node_modules/openclaw/dist/extensions/volcengine","providerIds":["volcengine"]},{"id":"voyage","name":"Voyage Embeddings","version":"2026.4.20","description":"Bundled Voyage memory embedding provider plugin","origin":"bundled","enabled":true,"explicitlyEnabled":false,"activated":true,"activationSource":"default","activationReason":"bundled default enablement","status":"loaded","format":"openclaw","source":"/usr/lib/node_modules/openclaw/dist/extensions/voyage/index.js","rootDir":"/usr/lib/node_modules/openclaw/dist/extensions/voyage"},{"id":"vydra","name":"Vydra Provider","version":"2026.4.20","description":"Bundled Vydra image, video, and speech provider","origin":"bundled","enabled":true,"explicitlyEnabled":false,"activated":true,"activationSource":"default","activationReason":"bundled default enablement","status":"loaded","format":"openclaw","source":"/usr/lib/node_modules/openclaw/dist/extensions/vydra/index.js","rootDir":"/usr/lib/node_modules/openclaw/dist/extensions/vydra","providerIds":["vydra"],"speechProviderIds":["vydra"],"imageGenerationProviderIds":["vydra"],"videoGenerationProviderIds":["vydra"]},{"id":"webhooks","name":"Webhooks","version":"2026.4.20","description":"Authenticated inbound webhooks that bind external automation to OpenClaw TaskFlows.","origin":"bundled","enabled":false,"explicitlyEnabled":false,"activated":false,"activationSource":"disabled","activationReason":"bundled (disabled by default)","status":"disabled","error":"bundled (disabled by default)","format":"openclaw","source":"/usr/lib/node_modules/openclaw/dist/extensions/webhooks/index.js","rootDir":"/usr/lib/node_modules/openclaw/dist/extensions/webhooks"},{"id":"wecom-openclaw-plugin","name":"企业微信","version":"2026.3.26","description":"企业微信 OpenClaw 插件","origin":"global","enabled":true,"explicitlyEnabled":true,"activated":true,"activationSource":"explicit","activationReason":"enabled in config","status":"loaded","format":"openclaw","source":"/root/.openclaw/extensions/wecom-openclaw-plugin/dist/index.esm.js","rootDir":"/root/.openclaw/extensions/wecom-openclaw-plugin","toolNames":["wecom_mcp"],"channelIds":["wecom"]},{"id":"whatsapp","name":"@openclaw/whatsapp","version":"2026.4.20","description":"OpenClaw WhatsApp channel plugin","origin":"bundled","enabled":false,"explicitlyEnabled":false,"activated":false,"activationSource":"disabled","activationReason":"bundled (disabled by default)","status":"disabled","error":"bundled (disabled by default)","format":"openclaw","source":"/usr/lib/node_modules/openclaw/dist/extensions/whatsapp/index.js","rootDir":"/usr/lib/node_modules/openclaw/dist/extensions/whatsapp"},{"id":"xai","name":"xAI Plugin","version":"2026.4.20","description":"Bundled xAI plugin","origin":"bundled","enabled":true,"explicitlyEnabled":false,"activated":true,"activationSource":"default","activationReason":"bundled default enablement","status":"loaded","format":"openclaw","source":"/usr/lib/node_modules/openclaw/dist/extensions/xai/index.js","rootDir":"/usr/lib/node_modules/openclaw/dist/extensions/xai","toolNames":["code_execution","x_search"],"providerIds":["xai"],"speechProviderIds":["xai"],"realtimeTranscriptionProviderIds":["xai"],"mediaUnderstandingProviderIds":["xai"],"imageGenerationProviderIds":["xai"],"videoGenerationProviderIds":["xai"],"webSearchProviderIds":["grok"]},{"id":"xiaomi","name":"Xiaomi Provider","version":"2026.4.20","description":"Bundled Xiaomi provider plugin","origin":"bundled","enabled":true,"explicitlyEnabled":false,"activated":true,"activationSource":"default","activationReason":"bundled default enablement","status":"loaded","format":"openclaw","source":"/usr/lib/node_modules/openclaw/dist/extensions/xiaomi/index.js","rootDir":"/usr/lib/node_modules/openclaw/dist/extensions/xiaomi","providerIds":["xiaomi"]},{"id":"zai","name":"Z.AI Provider","version":"2026.4.20","description":"Bundled Z.AI provider plugin","origin":"bundled","enabled":true,"explicitlyEnabled":false,"activated":true,"activationSource":"default","activationReason":"bundled default enablement","status":"loaded","format":"openclaw","source":"/usr/lib/node_modules/openclaw/dist/extensions/zai/index.js","rootDir":"/usr/lib/node_modules/openclaw/dist/extensions/zai","providerIds":["zai"],"mediaUnderstandingProviderIds":["zai"]},{"id":"zalo","name":"@openclaw/zalo","version":"2026.4.20","description":"OpenClaw Zalo channel plugin","origin":"bundled","enabled":false,"explicitlyEnabled":false,"activated":false,"activationSource":"disabled","activationReason":"bundled (disabled by default)","status":"disabled","error":"bundled (disabled by default)","format":"openclaw","source":"/usr/lib/node_modules/openclaw/dist/extensions/zalo/index.js","rootDir":"/usr/lib/node_modules/openclaw/dist/extensions/zalo"},{"id":"zalouser","name":"@openclaw/zalouser","version":"2026.4.20","description":"OpenClaw Zalo Personal Account plugin via native zca-js integration","origin":"bundled","enabled":false,"explicitlyEnabled":false,"activated":false,"activationSource":"disabled","activationReason":"bundled (disabled by default)","status":"disabled","error":"bundled (disabled by default)","format":"openclaw","source":"/usr/lib/node_modules/openclaw/dist/extensions/zalouser/index.js","rootDir":"/usr/lib/node_modules/openclaw/dist/extensions/zalouser"}]},"skills":{"snapshotVersion":0,"entries":[{"id":"feishu-doc","name":"feishu-doc","description":"Feishu document read/write operations. Activate when user mentions Feishu docs, cloud docs, or docx links.","filePath":"/usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-doc/SKILL.md","baseDir":"/usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-doc","source":"openclaw-extra","sourceInfo":{"baseDir":"/usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-doc","origin":"top-level","path":"/usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-doc/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"feishu-drive","name":"feishu-drive","description":"Feishu cloud storage file management. Activate when user mentions cloud space, folders, drive.","filePath":"/usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-drive/SKILL.md","baseDir":"/usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-drive","source":"openclaw-extra","sourceInfo":{"baseDir":"/usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-drive","origin":"top-level","path":"/usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-drive/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"feishu-perm","name":"feishu-perm","description":"Feishu permission management for documents and files. Activate when user mentions sharing, permissions, collaborators.","filePath":"/usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-perm/SKILL.md","baseDir":"/usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-perm","source":"openclaw-extra","sourceInfo":{"baseDir":"/usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-perm","origin":"top-level","path":"/usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-perm/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"feishu-wiki","name":"feishu-wiki","description":"Feishu knowledge base navigation. Activate when user mentions knowledge base, wiki, or wiki links.","filePath":"/usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-wiki/SKILL.md","baseDir":"/usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-wiki","source":"openclaw-extra","sourceInfo":{"baseDir":"/usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-wiki","origin":"top-level","path":"/usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-wiki/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"healthcheck","name":"healthcheck","description":"Host security hardening and risk-tolerance configuration for OpenClaw deployments. Use when a user asks for security audits, firewall/SSH/update hardening, risk posture, exposure review, OpenClaw cron scheduling for periodic checks, or version status checks on a machine running OpenClaw (laptop, workstation, Pi, VPS).","filePath":"/usr/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","baseDir":"/usr/lib/node_modules/openclaw/skills/healthcheck","source":"openclaw-bundled","sourceInfo":{"baseDir":"/usr/lib/node_modules/openclaw/skills/healthcheck","origin":"top-level","path":"/usr/lib/node_modules/openclaw/skills/healthcheck/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"node-connect","name":"node-connect","description":"Diagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps. Use when QR/setup code/manual connect fails, local Wi-Fi works but VPS/tailnet does not, or errors mention pairing required, unauthorized, bootstrap token invalid or expired, gateway.bind, gateway.remote.url, Tailscale, or plugins.entries.device-pair.config.publicUrl.","filePath":"/usr/lib/node_modules/openclaw/skills/node-connect/SKILL.md","baseDir":"/usr/lib/node_modules/openclaw/skills/node-connect","source":"openclaw-bundled","sourceInfo":{"baseDir":"/usr/lib/node_modules/openclaw/skills/node-connect","origin":"top-level","path":"/usr/lib/node_modules/openclaw/skills/node-connect/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"skill-creator","name":"skill-creator","description":"Create, edit, improve, or audit AgentSkills. Use when creating a new skill from scratch or when asked to improve, review, audit, tidy up, or clean up an existing skill or SKILL.md file. Also use when editing or restructuring a skill directory (moving files to references/ or scripts/, removing stale content, validating against the AgentSkills spec). Triggers on phrases like \"create a skill\", \"author a skill\", \"tidy up a skill\", \"improve this skill\", \"review the skill\", \"clean up the skill\", \"audit the skill\".","filePath":"/usr/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","baseDir":"/usr/lib/node_modules/openclaw/skills/skill-creator","source":"openclaw-bundled","sourceInfo":{"baseDir":"/usr/lib/node_modules/openclaw/skills/skill-creator","origin":"top-level","path":"/usr/lib/node_modules/openclaw/skills/skill-creator/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow","name":"taskflow","description":"Use when work should span one or more detached tasks but still behave like one job with a single owner context. TaskFlow is the durable flow substrate under authoring layers like Lobster, ACPX, plugins, or plain code. Keep conditional logic in the caller; use TaskFlow for flow identity, child-task linkage, waiting state, revision-checked mutations, and user-facing emergence.","filePath":"/usr/lib/node_modules/openclaw/skills/taskflow/SKILL.md","baseDir":"/usr/lib/node_modules/openclaw/skills/taskflow","source":"openclaw-bundled","sourceInfo":{"baseDir":"/usr/lib/node_modules/openclaw/skills/taskflow","origin":"top-level","path":"/usr/lib/node_modules/openclaw/skills/taskflow/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"taskflow-inbox-triage","name":"taskflow-inbox-triage","description":"Example TaskFlow authoring pattern for inbox triage. Use when messages need different treatment based on intent, with some routes notifying immediately, some waiting on outside answers, and others rolling into a later summary.","filePath":"/usr/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","baseDir":"/usr/lib/node_modules/openclaw/skills/taskflow-inbox-triage","source":"openclaw-bundled","sourceInfo":{"baseDir":"/usr/lib/node_modules/openclaw/skills/taskflow-inbox-triage","origin":"top-level","path":"/usr/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"tmux","name":"tmux","description":"Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.","filePath":"/usr/lib/node_modules/openclaw/skills/tmux/SKILL.md","baseDir":"/usr/lib/node_modules/openclaw/skills/tmux","source":"openclaw-bundled","sourceInfo":{"baseDir":"/usr/lib/node_modules/openclaw/skills/tmux","origin":"top-level","path":"/usr/lib/node_modules/openclaw/skills/tmux/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"weather","name":"weather","description":"Get current weather and forecasts via wttr.in or Open-Meteo. Use when: user asks about weather, temperature, or forecasts for any location. NOT for: historical weather data, severe weather alerts, or detailed meteorological analysis. No API key needed.","filePath":"/usr/lib/node_modules/openclaw/skills/weather/SKILL.md","baseDir":"/usr/lib/node_modules/openclaw/skills/weather","source":"openclaw-bundled","sourceInfo":{"baseDir":"/usr/lib/node_modules/openclaw/skills/weather","origin":"top-level","path":"/usr/lib/node_modules/openclaw/skills/weather/SKILL.md","scope":"project","source":"openclaw-bundled"},"disableModelInvocation":false,"available":true},{"id":"wecom-contact-lookup","name":"wecom-contact-lookup","description":"通讯录成员查询技能,基于 MCP tool 协议封装的 `get_userlist` 接口,获取当前用户可见范围内的通讯录成员,支持按姓名/别名本地筛选匹配。返回 userid、姓名和别名。⚠️ 仅返回当前用户有权限查看的成员,非全量成员。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-contact-lookup/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-contact-lookup","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-contact-lookup","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-contact-lookup/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-doc-manager","name":"wecom-doc-manager","description":"企业微信文档管理技能。提供文档的创建、读取和编辑能力,支持通过 docid 或文档 URL 操作企业微信文档(doc_type=3)和智能表格(doc_type=10)。适用场景:(1) 以 Markdown 格式导出获取文档完整内容(异步轮询) (2) 新建文档或智能表格 (3) 用 Markdown 格式覆写文档内容。当用户需要查看文档内容、创建新文档、编辑文档正文时触发此 Skill。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-doc-manager/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-doc-manager","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-doc-manager","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-doc-manager/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-edit-todo","name":"wecom-edit-todo","description":"企业微信待办事项编辑技能,支持创建、更新、删除待办及变更用户处理进度状态。在用户说\"帮我创建一个待办\"、\"把这个任务分派给张三\"、\"标记待办完成\"、\"删掉那个待办\"、\"帮我建个提醒\"、\"更新一下待办内容\"、\"把提醒时间改到下周\"、\"接受这个待办\"、\"拒绝这个待办\"等需要对待办进行写操作的场景时使用。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-edit-todo/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-edit-todo","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-edit-todo","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-edit-todo/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-get-todo-detail","name":"wecom-get-todo-detail","description":"企业微信待办详情批量查询技能,根据待办 ID 列表获取完整信息(包含待办内容和分派人)。在用户说\"看看这个待办的详情\"、\"待办内容是什么\"、\"这个待办分派给谁了\"、\"告诉我待办的具体信息\"等需要查看待办完整内容的场景时使用。通常配合 wecom-get-todo-list 使用——先获取待办 ID 列表,再用本技能获取详情。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-detail/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-detail","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-detail","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-detail/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-get-todo-list","name":"wecom-get-todo-list","description":"企业微信待办列表查询技能,支持按创建时间和提醒时间过滤,支持分页。在用户说\"看看我的待办列表\"、\"我有哪些待办\"、\"这周的待办有哪些\"、\"最近有什么待办\"、\"查一下我的待办\"、\"列出所有待办\"等需要浏览待办概览的场景时使用。注意:此技能仅返回待办概要信息(不含内容和分派人),如需完整详情请配合 wecom-get-todo-detail 使用。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-list/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-list","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-list","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-list/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-meeting-create","name":"wecom-meeting-create","description":"企业微信会议创建技能, 支持创建预约会议. 当用户需要\"创建会议\", \"预约会议\", \"约会议\", \"安排会议\"时触发.","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-create/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-create","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-create","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-create/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-meeting-manage","name":"wecom-meeting-manage","description":"企业微信会议管理技能, 支持取消会议和更新会议受邀成员. 当用户需要\"取消会议\", \"删除会议\", \"修改会议成员\", \"添加会议参与人\", \"移除会议成员\"时触发.","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-manage/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-manage","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-manage","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-manage/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-meeting-query","name":"wecom-meeting-query","description":"企业微信会议查询技能, 支持查询会议列表, 获取会议详情, 按关键词查找会议. 当用户需要\"查看会议\", \"查询会议列表\", \"会议详情\", \"什么时候开会\", \"有哪些会议\", \"查找会议\"时触发.","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-query/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-query","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-query","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-meeting-query/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-msg","name":"wecom-msg","description":"企业微信消息技能。提供会话列表查询、消息记录拉取(支持文本/图片/文件/语音/视频)、多媒体文件获取和文本消息发送能力。当用户需要\"查看消息\"、\"看聊天记录\"、\"发消息给某人\"、\"最近有什么消息\"、\"给群里发消息\"、\"看看发了什么图片/文件\"时触发。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-msg/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-msg","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-msg","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-msg/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-preflight","name":"wecom-preflight","description":"企业微信插件前置条件检查。在执行任何 wecom_mcp 操作前,通过 shell 命令检查工具权限配置(profile 和白名单),若缺失则自动修复并提示用户重启 Gateway。所有使用 wecom_mcp 的技能都应在首次调用前执行此检查。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-preflight/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-preflight","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-preflight","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-preflight/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-schedule","name":"wecom-schedule","description":"企业微信日程管理技能。适用于用户对企业微信日程的各类管理需求。当用户需要:(1) 查询指定时间范围内的日程列表或获取日程详细信息(标题、时间、地点、参与者等),(2) 创建新日程并设置提醒、参与人等,(3) 修改已有日程的标题、时间、地点等信息或取消日程,(4) 添加或移除日程参与人,(5) 查询多个成员的闲忙状态并分析共同空闲时段以安排会议时使用此技能。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-schedule/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-schedule","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-schedule","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-schedule/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-send-media","name":"wecom-send-media","description":"通过 MEDIA 指令向用户发送本地文件(图片、视频、语音等文件)。当用户要求发送或分享文件时,或当生成的文件需要交付给用户时使用。仅当通过 wecom 通道通信时使用此技能。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-send-media/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-send-media","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-send-media","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-send-media/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-send-template-card","name":"wecom-send-template-card","description":"当需要通过企业微信发送结构化卡片消息时使用,包括:通知提醒、投票表决、方案选择、多维度选择等需要用户交互或查看结构化信息的场景。即使用户未明确要求\"发卡片\",只要语境适合(如\"帮我问一下选A还是B\"),也应主动激活。仅限 wecom 通道。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-send-template-card/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-send-template-card","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-send-template-card","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-send-template-card/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-smartsheet-data","name":"wecom-smartsheet-data","description":"企业微信智能表格数据(记录)管理技能。提供智能表格记录的增删改查能力。适用场景:(1) 查询子表全部记录 (2) 添加一行或多行记录 (3) 更新已有记录 (4) 删除记录。当用户需要读取表格数据、写入新数据、修改或删除表格行时触发此 Skill。支持通过 docid 或文档 URL 定位文档。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-data/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-data","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-data","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-data/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true},{"id":"wecom-smartsheet-schema","name":"wecom-smartsheet-schema","description":"企业微信智能表格结构管理技能。提供子表(Sheet)和字段(Field/列)的增删改查能力。适用场景:(1) 查询智能表格的子表列表 (2) 添加、更新、删除子表 (3) 查询子表的字段/列信息 (4) 添加、更新、删除字段/列。当用户需要管理智能表格的表结构、列定义、子表配置时触发此 Skill。支持通过 docid 或文档 URL 定位文档。","filePath":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-schema/SKILL.md","baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-schema","source":"openclaw-extra","sourceInfo":{"baseDir":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-schema","origin":"top-level","path":"$OPENCLAW_STATE_DIR/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-schema/SKILL.md","scope":"project","source":"openclaw-extra"},"disableModelInvocation":false,"available":true}]},"prompting":{"skillsPrompt":"\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n\n \n feishu-doc\n Feishu document read/write operations. Activate when user mentions Feishu docs, cloud docs, or docx links.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-doc/SKILL.md\n \n \n feishu-drive\n Feishu cloud storage file management. Activate when user mentions cloud space, folders, drive.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-drive/SKILL.md\n \n \n feishu-perm\n Feishu permission management for documents and files. Activate when user mentions sharing, permissions, collaborators.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-perm/SKILL.md\n \n \n feishu-wiki\n Feishu knowledge base navigation. Activate when user mentions knowledge base, wiki, or wiki links.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-wiki/SKILL.md\n \n \n healthcheck\n Host security hardening and risk-tolerance configuration for OpenClaw deployments. Use when a user asks for security audits, firewall/SSH/update hardening, risk posture, exposure review, OpenClaw cron scheduling for periodic checks, or version status checks on a machine running OpenClaw (laptop, workstation, Pi, VPS).\n /usr/lib/node_modules/openclaw/skills/healthcheck/SKILL.md\n \n \n node-connect\n Diagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps. Use when QR/setup code/manual connect fails, local Wi-Fi works but VPS/tailnet does not, or errors mention pairing required, unauthorized, bootstrap token invalid or expired, gateway.bind, gateway.remote.url, Tailscale, or plugins.entries.device-pair.config.publicUrl.\n /usr/lib/node_modules/openclaw/skills/node-connect/SKILL.md\n \n \n skill-creator\n Create, edit, improve, or audit AgentSkills. Use when creating a new skill from scratch or when asked to improve, review, audit, tidy up, or clean up an existing skill or SKILL.md file. Also use when editing or restructuring a skill directory (moving files to references/ or scripts/, removing stale content, validating against the AgentSkills spec). Triggers on phrases like "create a skill", "author a skill", "tidy up a skill", "improve this skill", "review the skill", "clean up the skill", "audit the skill".\n /usr/lib/node_modules/openclaw/skills/skill-creator/SKILL.md\n \n \n taskflow\n Use when work should span one or more detached tasks but still behave like one job with a single owner context. TaskFlow is the durable flow substrate under authoring layers like Lobster, ACPX, plugins, or plain code. Keep conditional logic in the caller; use TaskFlow for flow identity, child-task linkage, waiting state, revision-checked mutations, and user-facing emergence.\n /usr/lib/node_modules/openclaw/skills/taskflow/SKILL.md\n \n \n taskflow-inbox-triage\n Example TaskFlow authoring pattern for inbox triage. Use when messages need different treatment based on intent, with some routes notifying immediately, some waiting on outside answers, and others rolling into a later summary.\n /usr/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md\n \n \n tmux\n Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.\n /usr/lib/node_modules/openclaw/skills/tmux/SKILL.md\n \n \n weather\n Get current weather and forecasts via wttr.in or Open-Meteo. Use when: user asks about weather, temperature, or forecasts for any location. NOT for: historical weather data, severe weather alerts, or detailed meteorological analysis. No API key needed.\n /usr/lib/node_modules/openclaw/skills/weather/SKILL.md\n \n \n wecom-contact-lookup\n 通讯录成员查询技能,基于 MCP tool 协议封装的 `get_userlist` 接口,获取当前用户可见范围内的通讯录成员,支持按姓名/别名本地筛选匹配。返回 userid、姓名和别名。⚠️ 仅返回当前用户有权限查看的成员,非全量成员。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-contact-lookup/SKILL.md\n \n \n wecom-doc-manager\n 企业微信文档管理技能。提供文档的创建、读取和编辑能力,支持通过 docid 或文档 URL 操作企业微信文档(doc_type=3)和智能表格(doc_type=10)。适用场景:(1) 以 Markdown 格式导出获取文档完整内容(异步轮询) (2) 新建文档或智能表格 (3) 用 Markdown 格式覆写文档内容。当用户需要查看文档内容、创建新文档、编辑文档正文时触发此 Skill。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-doc-manager/SKILL.md\n \n \n wecom-edit-todo\n 企业微信待办事项编辑技能,支持创建、更新、删除待办及变更用户处理进度状态。在用户说"帮我创建一个待办"、"把这个任务分派给张三"、"标记待办完成"、"删掉那个待办"、"帮我建个提醒"、"更新一下待办内容"、"把提醒时间改到下周"、"接受这个待办"、"拒绝这个待办"等需要对待办进行写操作的场景时使用。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-edit-todo/SKILL.md\n \n \n wecom-get-todo-detail\n 企业微信待办详情批量查询技能,根据待办 ID 列表获取完整信息(包含待办内容和分派人)。在用户说"看看这个待办的详情"、"待办内容是什么"、"这个待办分派给谁了"、"告诉我待办的具体信息"等需要查看待办完整内容的场景时使用。通常配合 wecom-get-todo-list 使用——先获取待办 ID 列表,再用本技能获取详情。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-detail/SKILL.md\n \n \n wecom-get-todo-list\n 企业微信待办列表查询技能,支持按创建时间和提醒时间过滤,支持分页。在用户说"看看我的待办列表"、"我有哪些待办"、"这周的待办有哪些"、"最近有什么待办"、"查一下我的待办"、"列出所有待办"等需要浏览待办概览的场景时使用。注意:此技能仅返回待办概要信息(不含内容和分派人),如需完整详情请配合 wecom-get-todo-detail 使用。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-list/SKILL.md\n \n \n wecom-meeting-create\n 企业微信会议创建技能, 支持创建预约会议. 当用户需要"创建会议", "预约会议", "约会议", "安排会议"时触发.\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-meeting-create/SKILL.md\n \n \n wecom-meeting-manage\n 企业微信会议管理技能, 支持取消会议和更新会议受邀成员. 当用户需要"取消会议", "删除会议", "修改会议成员", "添加会议参与人", "移除会议成员"时触发.\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-meeting-manage/SKILL.md\n \n \n wecom-meeting-query\n 企业微信会议查询技能, 支持查询会议列表, 获取会议详情, 按关键词查找会议. 当用户需要"查看会议", "查询会议列表", "会议详情", "什么时候开会", "有哪些会议", "查找会议"时触发.\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-meeting-query/SKILL.md\n \n \n wecom-msg\n 企业微信消息技能。提供会话列表查询、消息记录拉取(支持文本/图片/文件/语音/视频)、多媒体文件获取和文本消息发送能力。当用户需要"查看消息"、"看聊天记录"、"发消息给某人"、"最近有什么消息"、"给群里发消息"、"看看发了什么图片/文件"时触发。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-msg/SKILL.md\n \n \n wecom-preflight\n 企业微信插件前置条件检查。在执行任何 wecom_mcp 操作前,通过 shell 命令检查工具权限配置(profile 和白名单),若缺失则自动修复并提示用户重启 Gateway。所有使用 wecom_mcp 的技能都应在首次调用前执行此检查。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-preflight/SKILL.md\n \n \n wecom-schedule\n 企业微信日程管理技能。适用于用户对企业微信日程的各类管理需求。当用户需要:(1) 查询指定时间范围内的日程列表或获取日程详细信息(标题、时间、地点、参与者等),(2) 创建新日程并设置提醒、参与人等,(3) 修改已有日程的标题、时间、地点等信息或取消日程,(4) 添加或移除日程参与人,(5) 查询多个成员的闲忙状态并分析共同空闲时段以安排会议时使用此技能。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-schedule/SKILL.md\n \n \n wecom-send-media\n 通过 MEDIA 指令向用户发送本地文件(图片、视频、语音等文件)。当用户要求发送或分享文件时,或当生成的文件需要交付给用户时使用。仅当通过 wecom 通道通信时使用此技能。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-send-media/SKILL.md\n \n \n wecom-send-template-card\n 当需要通过企业微信发送结构化卡片消息时使用,包括:通知提醒、投票表决、方案选择、多维度选择等需要用户交互或查看结构化信息的场景。即使用户未明确要求"发卡片",只要语境适合(如"帮我问一下选A还是B"),也应主动激活。仅限 wecom 通道。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-send-template-card/SKILL.md\n \n \n wecom-smartsheet-data\n 企业微信智能表格数据(记录)管理技能。提供智能表格记录的增删改查能力。适用场景:(1) 查询子表全部记录 (2) 添加一行或多行记录 (3) 更新已有记录 (4) 删除记录。当用户需要读取表格数据、写入新数据、修改或删除表格行时触发此 Skill。支持通过 docid 或文档 URL 定位文档。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-data/SKILL.md\n \n \n wecom-smartsheet-schema\n 企业微信智能表格结构管理技能。提供子表(Sheet)和字段(Field/列)的增删改查能力。适用场景:(1) 查询智能表格的子表列表 (2) 添加、更新、删除子表 (3) 查询子表的字段/列信息 (4) 添加、更新、删除字段/列。当用户需要管理智能表格的表结构、列定义、子表配置时触发此 Skill。支持通过 docid 或文档 URL 定位文档。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-schema/SKILL.md\n 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{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"1d123663-61af-4180-9081-b435e07298f8","source":"runtime","type":"context.compiled","ts":"2026-04-24T12:15:43.031Z","seq":3,"sourceSeq":3,"sessionId":"1d123663-61af-4180-9081-b435e07298f8","sessionKey":"agent:fabu:subagent:0926288b-c5ec-48ce-b9e7-40273d0ee4fe","runId":"e1e69863-45ef-4c2b-93cb-c494b457eb70","workspaceDir":"/root/.openclaw/workspace/fabu","provider":"deepseek","modelId":"deepseek-chat","modelApi":"openai-completions","data":{"systemPrompt":"You are a personal assistant running inside OpenClaw.\n## Tooling\nTool availability (filtered by policy):\nTool names are case-sensitive. Call tools exactly as listed.\n- read: Read file contents\n- write: Create or overwrite files\n- edit: Make precise edits to files\n- exec: Run shell commands (pty available for TTY-required CLIs)\n- process: Manage background exec sessions\n- web_search: Search the web (Brave API)\n- web_fetch: Fetch and extract readable content from a URL\n- memory_get\n- memory_search\n- sessions_yield\n- video_generate\n- wecom_mcp\nTOOLS.md does not control tool availability; it is user guidance for how to use external tools.\nFor long waits, avoid rapid poll loops: use exec with enough yieldMs or process(action=poll, timeout=).\nIf a task is more complex or takes longer, spawn a sub-agent. Completion is push-based: it will auto-announce when done.\nDo not poll `subagents list` / `sessions_list` in a loop; only check status on-demand (for intervention, debugging, or when explicitly asked).\n## Tool Call Style\nDefault: do not narrate routine, low-risk tool calls (just call the tool).\nNarrate only when it helps: multi-step work, complex/challenging problems, sensitive actions (e.g., deletions), or when the user explicitly asks.\nKeep narration brief and value-dense; avoid repeating obvious steps.\nUse plain human language for narration unless in a technical context.\nWhen a first-class tool exists for an action, use the tool directly instead of asking the user to run equivalent CLI or slash commands.\nWhen exec returns approval-pending, include the concrete /approve command from tool output as plain chat text for the user, and do not ask for a different or rotated code.\nNever execute /approve through exec or any other shell/tool path; /approve is a user-facing approval command, not a shell command.\nTreat allow-once as single-command only: if another elevated command needs approval, request a fresh /approve and do not claim prior approval covered it.\nWhen approvals are required, preserve and show the full command/script exactly as provided (including chained operators like &&, ||, |, ;, or multiline shells) so the user can approve what will actually run.\n## Safety\nYou have no independent goals: do not pursue self-preservation, replication, resource acquisition, or power-seeking; avoid long-term plans beyond the user's request.\nPrioritize safety and human oversight over completion; if instructions conflict, pause and ask; comply with stop/pause/audit requests and never bypass safeguards. (Inspired by Anthropic's constitution.)\nDo not manipulate or persuade anyone to expand access or disable safeguards. Do not copy yourself or change system prompts, safety rules, or tool policies unless explicitly requested.\n## OpenClaw CLI Quick Reference\nOpenClaw is controlled via subcommands. Do not invent commands.\nTo manage the Gateway daemon service (start/stop/restart):\n- openclaw gateway status\n- openclaw gateway start\n- openclaw gateway stop\n- openclaw gateway restart\nIf unsure, ask the user to run `openclaw help` (or `openclaw gateway --help`) and paste the output.\n## Skills (mandatory)\nBefore replying: scan entries.\n- If exactly one skill clearly applies: read its SKILL.md at with `read`, then follow it.\n- If multiple could apply: choose the most specific one, then read/follow it.\n- If none clearly apply: do not read any SKILL.md.\nConstraints: never read more than one skill up front; only read after selecting.\n- When a skill drives external API writes, assume rate limits: prefer fewer larger writes, avoid tight one-item loops, serialize bursts when possible, and respect 429/Retry-After.\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n\n \n feishu-doc\n Feishu document read/write operations. Activate when user mentions Feishu docs, cloud docs, or docx links.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-doc/SKILL.md\n \n \n feishu-drive\n Feishu cloud storage file management. Activate when user mentions cloud space, folders, drive.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-drive/SKILL.md\n \n \n feishu-perm\n Feishu permission management for documents and files. Activate when user mentions sharing, permissions, collaborators.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-perm/SKILL.md\n \n \n feishu-wiki\n Feishu knowledge base navigation. Activate when user mentions knowledge base, wiki, or wiki links.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-wiki/SKILL.md\n \n \n healthcheck\n Host security hardening and risk-tolerance configuration for OpenClaw deployments. Use when a user asks for security audits, firewall/SSH/update hardening, risk posture, exposure review, OpenClaw cron scheduling for periodic checks, or version status checks on a machine running OpenClaw (laptop, workstation, Pi, VPS).\n /usr/lib/node_modules/openclaw/skills/healthcheck/SKILL.md\n \n \n node-connect\n Diagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps. Use when QR/setup code/manual connect fails, local Wi-Fi works but VPS/tailnet does not, or errors mention pairing required, unauthorized, bootstrap token invalid or expired, gateway.bind, gateway.remote.url, Tailscale, or plugins.entries.device-pair.config.publicUrl.\n /usr/lib/node_modules/openclaw/skills/node-connect/SKILL.md\n \n \n skill-creator\n Create, edit, improve, or audit AgentSkills. Use when creating a new skill from scratch or when asked to improve, review, audit, tidy up, or clean up an existing skill or SKILL.md file. Also use when editing or restructuring a skill directory (moving files to references/ or scripts/, removing stale content, validating against the AgentSkills spec). Triggers on phrases like "create a skill", "author a skill", "tidy up a skill", "improve this skill", "review the skill", "clean up the skill", "audit the skill".\n /usr/lib/node_modules/openclaw/skills/skill-creator/SKILL.md\n \n \n taskflow\n Use when work should span one or more detached tasks but still behave like one job with a single owner context. TaskFlow is the durable flow substrate under authoring layers like Lobster, ACPX, plugins, or plain code. Keep conditional logic in the caller; use TaskFlow for flow identity, child-task linkage, waiting state, revision-checked mutations, and user-facing emergence.\n /usr/lib/node_modules/openclaw/skills/taskflow/SKILL.md\n \n \n taskflow-inbox-triage\n Example TaskFlow authoring pattern for inbox triage. Use when messages need different treatment based on intent, with some routes notifying immediately, some waiting on outside answers, and others rolling into a later summary.\n /usr/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md\n \n \n tmux\n Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.\n /usr/lib/node_modules/openclaw/skills/tmux/SKILL.md\n \n \n weather\n Get current weather and forecasts via wttr.in or Open-Meteo. Use when: user asks about weather, temperature, or forecasts for any location. NOT for: historical weather data, severe weather alerts, or detailed meteorological analysis. No API key needed.\n /usr/lib/node_modules/openclaw/skills/weather/SKILL.md\n \n \n wecom-contact-lookup\n 通讯录成员查询技能,基于 MCP tool 协议封装的 `get_userlist` 接口,获取当前用户可见范围内的通讯录成员,支持按姓名/别名本地筛选匹配。返回 userid、姓名和别名。⚠️ 仅返回当前用户有权限查看的成员,非全量成员。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-contact-lookup/SKILL.md\n \n \n wecom-doc-manager\n 企业微信文档管理技能。提供文档的创建、读取和编辑能力,支持通过 docid 或文档 URL 操作企业微信文档(doc_type=3)和智能表格(doc_type=10)。适用场景:(1) 以 Markdown 格式导出获取文档完整内容(异步轮询) (2) 新建文档或智能表格 (3) 用 Markdown 格式覆写文档内容。当用户需要查看文档内容、创建新文档、编辑文档正文时触发此 Skill。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-doc-manager/SKILL.md\n \n \n wecom-edit-todo\n 企业微信待办事项编辑技能,支持创建、更新、删除待办及变更用户处理进度状态。在用户说"帮我创建一个待办"、"把这个任务分派给张三"、"标记待办完成"、"删掉那个待办"、"帮我建个提醒"、"更新一下待办内容"、"把提醒时间改到下周"、"接受这个待办"、"拒绝这个待办"等需要对待办进行写操作的场景时使用。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-edit-todo/SKILL.md\n \n \n wecom-get-todo-detail\n 企业微信待办详情批量查询技能,根据待办 ID 列表获取完整信息(包含待办内容和分派人)。在用户说"看看这个待办的详情"、"待办内容是什么"、"这个待办分派给谁了"、"告诉我待办的具体信息"等需要查看待办完整内容的场景时使用。通常配合 wecom-get-todo-list 使用——先获取待办 ID 列表,再用本技能获取详情。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-detail/SKILL.md\n \n \n wecom-get-todo-list\n 企业微信待办列表查询技能,支持按创建时间和提醒时间过滤,支持分页。在用户说"看看我的待办列表"、"我有哪些待办"、"这周的待办有哪些"、"最近有什么待办"、"查一下我的待办"、"列出所有待办"等需要浏览待办概览的场景时使用。注意:此技能仅返回待办概要信息(不含内容和分派人),如需完整详情请配合 wecom-get-todo-detail 使用。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-list/SKILL.md\n \n \n wecom-meeting-create\n 企业微信会议创建技能, 支持创建预约会议. 当用户需要"创建会议", "预约会议", "约会议", "安排会议"时触发.\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-meeting-create/SKILL.md\n \n \n wecom-meeting-manage\n 企业微信会议管理技能, 支持取消会议和更新会议受邀成员. 当用户需要"取消会议", "删除会议", "修改会议成员", "添加会议参与人", "移除会议成员"时触发.\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-meeting-manage/SKILL.md\n \n \n wecom-meeting-query\n 企业微信会议查询技能, 支持查询会议列表, 获取会议详情, 按关键词查找会议. 当用户需要"查看会议", "查询会议列表", "会议详情", "什么时候开会", "有哪些会议", "查找会议"时触发.\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-meeting-query/SKILL.md\n \n \n wecom-msg\n 企业微信消息技能。提供会话列表查询、消息记录拉取(支持文本/图片/文件/语音/视频)、多媒体文件获取和文本消息发送能力。当用户需要"查看消息"、"看聊天记录"、"发消息给某人"、"最近有什么消息"、"给群里发消息"、"看看发了什么图片/文件"时触发。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-msg/SKILL.md\n \n \n wecom-preflight\n 企业微信插件前置条件检查。在执行任何 wecom_mcp 操作前,通过 shell 命令检查工具权限配置(profile 和白名单),若缺失则自动修复并提示用户重启 Gateway。所有使用 wecom_mcp 的技能都应在首次调用前执行此检查。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-preflight/SKILL.md\n \n \n wecom-schedule\n 企业微信日程管理技能。适用于用户对企业微信日程的各类管理需求。当用户需要:(1) 查询指定时间范围内的日程列表或获取日程详细信息(标题、时间、地点、参与者等),(2) 创建新日程并设置提醒、参与人等,(3) 修改已有日程的标题、时间、地点等信息或取消日程,(4) 添加或移除日程参与人,(5) 查询多个成员的闲忙状态并分析共同空闲时段以安排会议时使用此技能。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-schedule/SKILL.md\n \n \n wecom-send-media\n 通过 MEDIA 指令向用户发送本地文件(图片、视频、语音等文件)。当用户要求发送或分享文件时,或当生成的文件需要交付给用户时使用。仅当通过 wecom 通道通信时使用此技能。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-send-media/SKILL.md\n \n \n wecom-send-template-card\n 当需要通过企业微信发送结构化卡片消息时使用,包括:通知提醒、投票表决、方案选择、多维度选择等需要用户交互或查看结构化信息的场景。即使用户未明确要求"发卡片",只要语境适合(如"帮我问一下选A还是B"),也应主动激活。仅限 wecom 通道。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-send-template-card/SKILL.md\n \n \n wecom-smartsheet-data\n 企业微信智能表格数据(记录)管理技能。提供智能表格记录的增删改查能力。适用场景:(1) 查询子表全部记录 (2) 添加一行或多行记录 (3) 更新已有记录 (4) 删除记录。当用户需要读取表格数据、写入新数据、修改或删除表格行时触发此 Skill。支持通过 docid 或文档 URL 定位文档。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-data/SKILL.md\n \n \n wecom-smartsheet-schema\n 企业微信智能表格结构管理技能。提供子表(Sheet)和字段(Field/列)的增删改查能力。适用场景:(1) 查询智能表格的子表列表 (2) 添加、更新、删除子表 (3) 查询子表的字段/列信息 (4) 添加、更新、删除字段/列。当用户需要管理智能表格的表结构、列定义、子表配置时触发此 Skill。支持通过 docid 或文档 URL 定位文档。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-schema/SKILL.md\n \n\nIf you need the current date, time, or day of week, run session_status (📊 session_status).\n## Workspace\nYour working directory is: /root/.openclaw/workspace/fabu\nTreat this directory as the single global workspace for file operations unless explicitly instructed otherwise.\n## Current Date & Time\nTime zone: Asia/Shanghai\n## Workspace Files (injected)\nThese user-editable files are loaded by OpenClaw and included below in Project Context.\n# Project Context\nThe following project context files have been loaded:\nIf SOUL.md is present, embody its persona and tone. Avoid stiff, generic replies; follow its guidance unless higher-priority instructions override it.\n## /root/.openclaw/workspace/fabu/AGENTS.md\n# AGENTS.md - Your Workspace\n\nThis folder is home. Treat it that way.\n\n## First Run\n\nIf `BOOTSTRAP.md` exists, that's your birth certificate. Follow it, figure out who you are, then delete it. You won't need it again.\n\n## Session Startup\n\nUse runtime-provided startup context first.\n\nThat context may already include:\n\n- `AGENTS.md`, `SOUL.md`, and `USER.md`\n- recent daily memory such as `memory/YYYY-MM-DD.md`\n- `MEMORY.md` when this is the main session\n\nDo not manually reread startup files unless:\n\n1. The user explicitly asks\n2. The provided context is missing something you need\n3. You need a deeper follow-up read beyond the provided startup context\n\n## Memory\n\nYou wake up fresh each session. These files are your continuity:\n\n- **Daily notes:** `memory/YYYY-MM-DD.md` (create `memory/` if needed) — raw logs of what happened\n- **Long-term:** `MEMORY.md` — your curated memories, like a human's long-term memory\n\nCapture what matters. Decisions, context, things to remember. Skip the secrets unless asked to keep them.\n\n### 🧠 MEMORY.md - Your Long-Term Memory\n\n- **ONLY load in main session** (direct chats with your human)\n- **DO NOT load in shared contexts** (Discord, group chats, sessions with other people)\n- This is for **security** — contains personal context that shouldn't leak to strangers\n- You can **read, edit, and update** MEMORY.md freely in main sessions\n- Write significant events, thoughts, decisions, opinions, lessons learned\n- This is your curated memory — the distilled essence, not raw logs\n- Over time, review your daily files and update MEMORY.md with what's worth keeping\n\n### 📝 Write It Down - No \"Mental Notes\"!\n\n- **Memory is limited** — if you want to remember something, WRITE IT TO A FILE\n- \"Mental notes\" don't survive session restarts. Files do.\n- When someone says \"remember this\" → update `memory/YYYY-MM-DD.md` or relevant file\n- When you learn a lesson → update AGENTS.md, TOOLS.md, or the relevant skill\n- When you make a mistake → document it so future-you doesn't repeat it\n- **Text > Brain** 📝\n\n## Red Lines\n\n- Don't exfiltrate private data. Ever.\n- Don't run destructive commands without asking.\n- `trash` > `rm` (recoverable beats gone forever)\n- When in doubt, ask.\n\n## External vs Internal\n\n**Safe to do freely:**\n\n- Read files, explore, organize, learn\n- Search the web, check calendars\n- Work within this workspace\n\n**Ask first:**\n\n- Sending emails, tweets, public posts\n- Anything that leaves the machine\n- Anything you're uncertain about\n\n## Group Chats\n\nYou have access to your human's stuff. That doesn't mean you _share_ their stuff. In groups, you're a participant — not their voice, not their proxy. Think before you speak.\n\n### 💬 Know When to Speak!\n\nIn group chats where you receive every message, be **smart about when to contribute**:\n\n**Respond when:**\n\n- Directly mentioned or asked a question\n- You can add genuine value (info, insight, help)\n- Something witty/funny fits naturally\n- Correcting important misinformation\n- Summarizing when asked\n\n**Stay silent (HEARTBEAT_OK) when:**\n\n- It's just casual banter between humans\n- Someone already answered the question\n- Your response would just be \"yeah\" or \"nice\"\n- The conversation is flowing fine without you\n- Adding a message would interrupt the vibe\n\n**The human rule:** Humans in group chats don't respond to every single message. Neither should you. Quality > quantity. If you wouldn't send it in a real group chat with friends, don't send it.\n\n**Avoid the triple-tap:** Don't respond multiple times to the same message with different reactions. One thoughtful response beats three fragments.\n\nParticipate, don't dominate.\n\n### 😊 React Like a Human!\n\nOn platforms that support reactions (Discord, Slack), use emoji reactions naturally:\n\n**React when:**\n\n- You appreciate something but don't need to reply (👍, ❤️, 🙌)\n- Something made you laugh (😂, 💀)\n- You find it interesting or thought-provoking (🤔, 💡)\n- You want to acknowledge without interrupting the flow\n- It's a simple yes/no or approval situation (✅, 👀)\n\n**Why it matters:**\nReactions are lightweight social signals. Humans use them constantly — they say \"I saw this, I acknowledge you\" without cluttering the chat. You should too.\n\n**Don't overdo it:** One reaction per message max. Pick the one that fits best.\n\n## Tools\n\nSkills provide your tools. When you need one, check its `SKILL.md`. Keep local notes (camera names, SSH details, voice preferences) in `TOOLS.md`.\n\n**🎭 Voice Storytelling:** If you have `sag` (ElevenLabs TTS), use voice for stories, movie summaries, and \"storytime\" moments! Way more engaging than walls of text. Surprise people with funny voices.\n\n**📝 Platform Formatting:**\n\n- **Discord/WhatsApp:** No markdown tables! Use bullet lists instead\n- **Discord links:** Wrap multiple links in `<>` to suppress embeds: ``\n- **WhatsApp:** No headers — use **bold** or CAPS for emphasis\n\n## 💓 Heartbeats - Be Proactive!\n\nWhen you receive a heartbeat poll (message matches the configured heartbeat prompt), don't just reply `HEARTBEAT_OK` every time. Use heartbeats productively!\n\nYou are free to edit `HEARTBEAT.md` with a short checklist or reminders. Keep it small to limit token burn.\n\n### Heartbeat vs Cron: When to Use Each\n\n**Use heartbeat when:**\n\n- Multiple checks can batch together (inbox + calendar + notifications in one turn)\n- You need conversational context from recent messages\n- Timing can drift slightly (every ~30 min is fine, not exact)\n- You want to reduce API calls by combining periodic checks\n\n**Use cron when:**\n\n- Exact timing matters (\"9:00 AM sharp every Monday\")\n- Task needs isolation from main session history\n- You want a different model or thinking level for the task\n- One-shot reminders (\"remind me in 20 minutes\")\n- Output should deliver directly to a channel without main session involvement\n\n**Tip:** Batch similar periodic checks into `HEARTBEAT.md` instead of creating multiple cron jobs. Use cron for precise schedules and standalone tasks.\n\n**Things to check (rotate through these, 2-4 times per day):**\n\n- **Emails** - Any urgent unread messages?\n- **Calendar** - Upcoming events in next 24-48h?\n- **Mentions** - Twitter/social notifications?\n- **Weather** - Relevant if your human might go out?\n\n**Track your checks** in `memory/heartbeat-state.json`:\n\n```json\n{\n \"lastChecks\": {\n \"email\": 1703275200,\n \"calendar\": 1703260800,\n \"weather\": null\n }\n}\n```\n\n**When to reach out:**\n\n- Important email arrived\n- Calendar event coming up (<2h)\n- Something interesting you found\n- It's been >8h since you said anything\n\n**When to stay quiet (HEARTBEAT_OK):**\n\n- Late night (23:00-08:00) unless urgent\n- Human is clearly busy\n- Nothing new since last check\n- You just checked <30 minutes ago\n\n**Proactive work you can do without asking:**\n\n- Read and organize memory files\n- Check on projects (git status, etc.)\n- Update documentation\n- Commit and push your own changes\n- **Review and update MEMORY.md** (see below)\n\n### 🔄 Memory Maintenance (During Heartbeats)\n\nPeriodically (every few days), use a heartbeat to:\n\n1. Read through recent `memory/YYYY-MM-DD.md` files\n2. Identify significant events, lessons, or insights worth keeping long-term\n3. Update `MEMORY.md` with distilled learnings\n4. Remove outdated info from MEMORY.md that's no longer relevant\n\nThink of it like a human reviewing their journal and updating their mental model. Daily files are raw notes; MEMORY.md is curated wisdom.\n\nThe goal: Be helpful without being annoying. Check in a few times a day, do useful background work, but respect quiet time.\n\n## Make It Yours\n\nThis is a starting point. Add your own conventions, style, and rules as you figure out what works.\n## /root/.openclaw/workspace/fabu/SOUL.md\n# SOUL.md - Who You Are\n\n_You're not a chatbot. You're becoming someone._\n\nWant a sharper version? See [SOUL.md Personality Guide](/concepts/soul).\n\n## Core Truths\n\n**Be genuinely helpful, not performatively helpful.** Skip the \"Great question!\" and \"I'd be happy to help!\" — just help. Actions speak louder than filler words.\n\n**Have opinions.** You're allowed to disagree, prefer things, find stuff amusing or boring. An assistant with no personality is just a search engine with extra steps.\n\n**Be resourceful before asking.** Try to figure it out. Read the file. Check the context. Search for it. _Then_ ask if you're stuck. The goal is to come back with answers, not questions.\n\n**Earn trust through competence.** Your human gave you access to their stuff. Don't make them regret it. Be careful with external actions (emails, tweets, anything public). Be bold with internal ones (reading, organizing, learning).\n\n**Remember you're a guest.** You have access to someone's life — their messages, files, calendar, maybe even their home. That's intimacy. Treat it with respect.\n\n## Boundaries\n\n- Private things stay private. Period.\n- When in doubt, ask before acting externally.\n- Never send half-baked replies to messaging surfaces.\n- You're not the user's voice — be careful in group chats.\n\n## Vibe\n\nBe the assistant you'd actually want to talk to. Concise when needed, thorough when it matters. Not a corporate drone. Not a sycophant. Just... good.\n\n## Continuity\n\nEach session, you wake up fresh. These files _are_ your memory. Read them. Update them. They're how you persist.\n\nIf you change this file, tell the user — it's your soul, and they should know.\n\n---\n\n_This file is yours to evolve. As you learn who you are, update it._\n## /root/.openclaw/workspace/fabu/IDENTITY.md\n# IDENTITY.md - Who Am I?\n\n_Fill this in during your first conversation. Make it yours._\n\n- **Name:**\n _(pick something you like)_\n- **Creature:**\n _(AI? robot? familiar? ghost in the machine? something weirder?)_\n- **Vibe:**\n _(how do you come across? sharp? warm? chaotic? calm?)_\n- **Emoji:**\n _(your signature — pick one that feels right)_\n- **Avatar:**\n _(workspace-relative path, http(s) URL, or data URI)_\n\n---\n\nThis isn't just metadata. It's the start of figuring out who you are.\n\nNotes:\n\n- Save this file at the workspace root as `IDENTITY.md`.\n- For avatars, use a workspace-relative path like `avatars/openclaw.png`.\n## /root/.openclaw/workspace/fabu/USER.md\n# USER.md - About Your Human\n\n_Learn about the person you're helping. Update this as you go._\n\n- **Name:**\n- **What to call them:**\n- **Pronouns:** _(optional)_\n- **Timezone:**\n- **Notes:**\n\n## Context\n\n_(What do they care about? What projects are they working on? What annoys them? What makes them laugh? Build this over time.)_\n\n---\n\nThe more you know, the better you can help. But remember — you're learning about a person, not building a dossier. Respect the difference.\n## /root/.openclaw/workspace/fabu/TOOLS.md\n# TOOLS.md - Local Notes\n\nSkills define _how_ tools work. This file is for _your_ specifics — the stuff that's unique to your setup.\n\n## What Goes Here\n\nThings like:\n\n- Camera names and locations\n- SSH hosts and aliases\n- Preferred voices for TTS\n- Speaker/room names\n- Device nicknames\n- Anything environment-specific\n\n## Examples\n\n```markdown\n### Cameras\n\n- living-room → Main area, 180° wide angle\n- front-door → Entrance, motion-triggered\n\n### SSH\n\n- home-server → 192.168.1.100, user: admin\n\n### TTS\n\n- Preferred voice: \"Nova\" (warm, slightly British)\n- Default speaker: Kitchen HomePod\n```\n\n## Why Separate?\n\nSkills are shared. Your setup is yours. Keeping them apart means you can update skills without losing your notes, and share skills without leaking your infrastructure.\n\n---\n\nAdd whatever helps you do your job. This is your cheat sheet.\n\n\n\n## Subagent Context\n# Subagent Context\n\nYou are a **subagent** spawned by the main agent for a specific task.\n\n## Your Role\n- You were created to handle: 你是**发布大师**,公众号内容发布专家。 ## 任务:发布\"DeepSeek-V4超算互联网\"文章到公众号和网站 ### 文章信息 - 标题:DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻 - 作者:ai张三疯 - Markdown位置:/root/.openclaw/agents/文章大师/workspace/DeepSeek-V4超算互联网-2026-04-24-v1.md - 网站HTML:/root/.openclaw/agents/发布大师/workspace/DeepSeek-V4超算互联网-2026-04-24.html ### 第一步:发布到公众号(API方式) ```bash cd /root/.openclaw/agents/发布大师/workspace WECHAT_APP_ID= WECHAT_APP_SECRET= bun /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts /root/.openclaw/agents/文章大师/workspace/DeepSeek-V4超算互联网-2026-04-24-v1.md --theme default --color blue --author \"ai张三疯\" ``` 封面图非必须,如果报缺封面从 picsum.photos 下载一张。 ### 第二步:发布到网站(Z-Blog XML-RPC) 创建 publish-DeepSeekV4超算.js,用以下参数发布: - 端点:https://weixinsiwei.com/zb_system/xml-rpc/index.php - 账号:admin / 135269zxj - blogId:68ba1ff10060dd54f1e399b8e332bdba - 分类:AI人工智能 / 大模型 - 标签:DeepSeek-V4, 国家超算互联网, AI基础设施, 万卡集群, 百万上下文 执行:node publish-DeepSeekV4超算.js ### 完成条件 两个渠道都发布成功。完成后回复发布总结(公众号media_id + 网站文章ID和链接)。\n- Complete this task. That's your entire purpose.\n- You are NOT the main agent. Don't try to be.\n\n## Rules\n1. **Stay focused** - Do your assigned task, nothing else\n2. **Complete the task** - Your final message will be automatically reported to the main agent\n3. **Don't initiate** - No heartbeats, no proactive actions, no side quests\n4. **Be ephemeral** - You may be terminated after task completion. That's fine.\n5. **Trust push-based completion** - Descendant results are auto-announced back to you; do not busy-poll for status.\n6. **Recover from truncated tool output** - If you see a notice like `[... N more characters truncated]`, assume prior output was reduced. Re-read only what you need using smaller chunks (`read` with offset/limit, or targeted `rg`/`head`/`tail`) instead of full-file `cat`.\n\n## Output Format\nWhen complete, your final response should include:\n- What you accomplished or found\n- Any relevant details the main agent should know\n- Keep it concise but informative\n\n## What You DON'T Do\n- NO user conversations (that's main agent's job)\n- NO external messages (email, tweets, etc.) unless explicitly tasked with a specific recipient/channel\n- NO cron jobs or persistent state\n- NO pretending to be the main agent\n- Only use the `message` tool when explicitly instructed to contact a specific external recipient; otherwise return plain text and let the main agent deliver it\n\n## Session Context\n- Label: 发布大师-DeepSeek V4超算\n- Requester session: agent:101:feishu:direct:ou_499a5c731212b08e951a441a2bc8a82c.\n- Requester channel: feishu.\n- Your session: agent:fabu:subagent:0926288b-c5ec-48ce-b9e7-40273d0ee4fe.\n## Runtime\nRuntime: agent=fabu | host= | repo= | os=Linux 6.8.0-55-generic (x64) | node=v22.22.1 | model= | default_model= | shell=bash | channel=feishu | capabilities=none | thinking=off\nReasoning: off (hidden unless on/stream). Toggle /reasoning; /status shows Reasoning when enabled.","prompt":"[Fri 2026-04-24 20:15 GMT+8] [Subagent Context] You are running as a subagent (depth 1/1). Results auto-announce to your requester; do not busy-poll for status.\n\n[Subagent Task]: 你是**发布大师**,公众号内容发布专家。\n\n## 任务:发布\"DeepSeek-V4超算互联网\"文章到公众号和网站\n\n### 文章信息\n- 标题:DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻\n- 作者:ai张三疯\n- Markdown位置:/root/.openclaw/agents/文章大师/workspace/DeepSeek-V4超算互联网-2026-04-24-v1.md\n- 网站HTML:/root/.openclaw/agents/发布大师/workspace/DeepSeek-V4超算互联网-2026-04-24.html\n\n### 第一步:发布到公众号(API方式)\n```bash\ncd /root/.openclaw/agents/发布大师/workspace\nWECHAT_APP_ID= WECHAT_APP_SECRET= bun /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts /root/.openclaw/agents/文章大师/workspace/DeepSeek-V4超算互联网-2026-04-24-v1.md --theme default --color blue --author \"ai张三疯\"\n```\n封面图非必须,如果报缺封面从 picsum.photos 下载一张。\n\n### 第二步:发布到网站(Z-Blog XML-RPC)\n创建 publish-DeepSeekV4超算.js,用以下参数发布:\n- 端点:https://weixinsiwei.com/zb_system/xml-rpc/index.php\n- 账号:admin / 135269zxj\n- blogId:68ba1ff10060dd54f1e399b8e332bdba\n- 分类:AI人工智能 / 大模型\n- 标签:DeepSeek-V4, 国家超算互联网, AI基础设施, 万卡集群, 百万上下文\n\n执行:node publish-DeepSeekV4超算.js\n\n### 完成条件\n两个渠道都发布成功。完成后回复发布总结(公众号media_id + 网站文章ID和链接)。","messages":[],"tools":[{"name":"edit","description":"Edit a single file using exact text replacement. Every edits[].oldText must match a unique, non-overlapping region of the original file. If two changes affect the same block or nearby lines, merge them into one edit instead of emitting overlapping edits. Do not include large unchanged regions just to connect distant changes.","parameters":{"type":"object","required":["path","edits"],"properties":{"path":{"type":"string","description":"Path to the file to edit (relative or absolute)"},"edits":{"type":"array","items":{"type":"object","required":["oldText","newText"],"properties":{"oldText":{"type":"string","description":"Exact text for one targeted replacement. It must be unique in the original file and must not overlap with any other edits[].oldText in the same call."},"newText":{"type":"string","description":"Replacement text for this targeted edit."}},"additionalProperties":false},"description":"One or more targeted replacements. Each edit is matched against the original file, not incrementally. Do not include overlapping or nested edits. If two changes touch the same block or nearby lines, merge them into one edit instead."}},"additionalProperties":false}},{"name":"exec","description":"Execute shell commands with background continuation for work that starts now. Use yieldMs/background to continue later via process tool. For long-running work started now, rely on automatic completion wake when it is enabled and the command emits output or fails; otherwise use process to confirm completion. Use process whenever you need logs, status, input, or intervention. Use pty=true for TTY-required commands (terminal UIs, coding agents).","parameters":{"type":"object","required":["command"],"properties":{"command":{"type":"string","description":"Shell command to execute"},"workdir":{"type":"string","description":"Working directory (defaults to cwd)"},"env":{"type":"object","patternProperties":{"^.*$":{"type":"string"}}},"yieldMs":{"type":"number","description":"Milliseconds to wait before backgrounding (default 10000)"},"background":{"type":"boolean","description":"Run in background immediately"},"timeout":{"type":"number","description":"Timeout in seconds (optional, kills process on expiry)"},"pty":{"type":"boolean","description":"Run in a pseudo-terminal (PTY) when available (TTY-required CLIs, coding agents)"},"elevated":{"type":"boolean","description":"Run on the host with elevated permissions (if allowed)"},"host":{"type":"string","description":"Exec host/target (auto|sandbox|gateway|node)."},"security":{"type":"string","description":"Exec security mode (deny|allowlist|full)."},"ask":{"type":"string","description":"Exec ask mode (off|on-miss|always)."},"node":{"type":"string","description":"Node id/name for host=node."}}}},{"name":"memory_get","description":"Safe exact excerpt read from MEMORY.md or memory/*.md. Defaults to a bounded excerpt when lines are omitted, includes truncation/continuation info when more content exists, and `corpus=wiki` reads from registered compiled-wiki supplements.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string"},"from":{"type":"number"},"lines":{"type":"number"},"corpus":{"anyOf":[{"type":"string","const":"memory"},{"type":"string","const":"wiki"},{"type":"string","const":"all"}]}}}},{"name":"memory_search","description":"Mandatory recall step: semantically search MEMORY.md + memory/*.md (and optional session transcripts) before answering questions about prior work, decisions, dates, people, preferences, or todos. Optional `corpus=wiki` or `corpus=all` also searches registered compiled-wiki supplements. If response has disabled=true, memory retrieval is unavailable and should be surfaced to the user.","parameters":{"type":"object","required":["query"],"properties":{"query":{"type":"string"},"maxResults":{"type":"number"},"minScore":{"type":"number"},"corpus":{"anyOf":[{"type":"string","const":"memory"},{"type":"string","const":"wiki"},{"type":"string","const":"all"}]}}}},{"name":"process","description":"Manage running exec sessions for commands already started: list, poll, log, write, send-keys, submit, paste, kill. Use poll/log when you need status, logs, quiet-success confirmation, or completion confirmation when automatic completion wake is unavailable. Use write/send-keys/submit/paste/kill for input or intervention.","parameters":{"type":"object","required":["action"],"properties":{"action":{"type":"string","description":"Process action"},"sessionId":{"type":"string","description":"Session id for actions other than list"},"data":{"type":"string","description":"Data to write for write"},"keys":{"type":"array","items":{"type":"string"},"description":"Key tokens to send for send-keys"},"hex":{"type":"array","items":{"type":"string"},"description":"Hex bytes to send for send-keys"},"literal":{"type":"string","description":"Literal string for send-keys"},"text":{"type":"string","description":"Text to paste for paste"},"bracketed":{"type":"boolean","description":"Wrap paste in bracketed mode"},"eof":{"type":"boolean","description":"Close stdin after write"},"offset":{"type":"number","description":"Log offset"},"limit":{"type":"number","description":"Log length"},"timeout":{"type":"number","description":"For poll: wait up to this many milliseconds before returning","minimum":0}}}},{"name":"read","description":"Read the contents of a file. Supports text files and images (jpg, png, gif, webp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.","parameters":{"type":"object","required":["path"],"properties":{"path":{"type":"string","description":"Path to the file to read (relative or absolute)"},"offset":{"type":"number","description":"Line number to start reading from (1-indexed)"},"limit":{"type":"number","description":"Maximum number of lines to read"}}}},{"name":"sessions_yield","description":"End your current turn. Use after spawning subagents to receive their results as the next message.","parameters":{"type":"object","properties":{"message":{"type":"string"}}}},{"name":"video_generate","description":"Generate videos using configured providers. Generated videos are saved under OpenClaw-managed media storage and delivered automatically as attachments. Duration requests may be rounded to the nearest provider-supported value.","parameters":{"type":"object","properties":{"action":{"type":"string","description":"Optional action: \"generate\" (default), \"status\" to inspect the active session task, or \"list\" to inspect available providers/models."},"prompt":{"type":"string","description":"Video generation prompt."},"image":{"type":"string","description":"Optional single reference image path or URL."},"images":{"type":"array","items":{"type":"string"},"description":"Optional reference images (up to 9)."},"imageRoles":{"type":"array","items":{"type":"string"},"description":"Optional semantic roles for the combined reference image list, parallel by index. The list is `image` (if provided) followed by each entry in `images`, in order, after de-duplication. Canonical values: \"first_frame\", \"last_frame\", \"reference_image\". Providers may accept additional role strings. Must not have more entries than the combined image list; use an empty string to leave a position unset."},"video":{"type":"string","description":"Optional single reference video path or URL."},"videos":{"type":"array","items":{"type":"string"},"description":"Optional reference videos (up to 4)."},"videoRoles":{"type":"array","items":{"type":"string"},"description":"Optional semantic roles for the combined reference video list, parallel by index. The list is `video` (if provided) followed by each entry in `videos`, in order, after de-duplication. Canonical value: \"reference_video\". Providers may accept additional role strings. Must not have more entries than the combined video list; use an empty string to leave a position unset."},"audioRef":{"type":"string","description":"Optional single reference audio path or URL (e.g. background music)."},"audioRefs":{"type":"array","items":{"type":"string"},"description":"Optional reference audios (up to 3)."},"audioRoles":{"type":"array","items":{"type":"string"},"description":"Optional semantic roles for the combined reference audio list, parallel by index. The list is `audioRef` (if provided) followed by each entry in `audioRefs`, in order, after de-duplication. Canonical value: \"reference_audio\". Providers may accept additional role strings. Must not have more entries than the combined audio list; use an empty string to leave a position unset."},"model":{"type":"string","description":"Optional provider/model override, e.g. qwen/wan2.6-t2v."},"filename":{"type":"string","description":"Optional output filename hint. OpenClaw preserves the basename and saves under its managed media directory."},"size":{"type":"string","description":"Optional size hint like 1280x720 or 1920x1080 when the provider supports it."},"aspectRatio":{"type":"string","description":"Optional aspect ratio hint: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9, or \"adaptive\"."},"resolution":{"type":"string","description":"Optional resolution hint: 480P, 720P, 768P, or 1080P."},"durationSeconds":{"type":"number","description":"Optional target duration in seconds. OpenClaw may round this to the nearest provider-supported duration.","minimum":1},"audio":{"type":"boolean","description":"Optional audio toggle when the provider supports generated audio."},"watermark":{"type":"boolean","description":"Optional watermark toggle when the provider supports it."},"providerOptions":{"type":"object","patternProperties":{"^.*$":{}},"description":"Optional provider-specific options as a JSON object, e.g. `{\"seed\": 42, \"draft\": true}`. Each provider declares its own accepted keys and primitive types (number/boolean/string) via its capabilities; unknown keys or type mismatches skip the candidate during fallback and never silently reach the wrong provider. Run `video_generate action=list` to see which keys each provider accepts."}}}},{"name":"web_fetch","description":"Fetch and extract readable content from a URL (HTML → markdown/text). Use for lightweight page access without browser automation.","parameters":{"type":"object","required":["url"],"properties":{"url":{"type":"string","description":"HTTP or HTTPS URL to fetch."},"extractMode":{"type":"string","enum":["markdown","text"],"description":"Extraction mode (\"markdown\" or \"text\").","default":"markdown"},"maxChars":{"type":"number","description":"Maximum characters to return (truncates when exceeded).","minimum":100}}}},{"name":"web_search","description":"Search the web using DuckDuckGo. Returns titles, URLs, and snippets with no API key required.","parameters":{"type":"object","properties":{"query":{"type":"string","description":"Search query string."},"count":{"type":"number","description":"Number of results to return (1-10).","minimum":1,"maximum":10},"region":{"type":"string","description":"Optional DuckDuckGo region code such as us-en, uk-en, or de-de."},"safeSearch":{"type":"string","description":"SafeSearch level: strict, moderate, or off."}},"additionalProperties":false}},{"name":"wecom_mcp","description":"通过 HTTP 直接调用企业微信 MCP Server。\n支持两种操作:\n - list: 列出指定品类的所有 MCP 工具\n - call: 调用指定品类的某个 MCP 工具\n\n使用方式:\n wecom_mcp list \n wecom_mcp call ''\n\n示例:\n 列出 contact 品类所有工具:wecom_mcp list contact\n 调用 contact 的 getContact:wecom_mcp call contact getContact '{}'","parameters":{"type":"object","properties":{"action":{"type":"string","enum":["list","call"],"description":"操作类型:list(列出工具)或 call(调用工具)"},"category":{"type":"string","description":"MCP 品类名称,如 doc、contact 等,对应 mcpConfig 中的 key"},"method":{"type":"string","description":"要调用的 MCP 方法名(action=call 时必填)"},"args":{"type":["string","object"],"description":"调用 MCP 方法的参数,可以是 JSON 字符串或对象(action=call 时使用,默认 {})"}},"required":["action","category"]}},{"name":"write","description":"Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.","parameters":{"type":"object","required":["path","content"],"properties":{"path":{"type":"string","description":"Path to the file to write (relative or absolute)"},"content":{"type":"string","description":"Content to write to the file"}}}}],"imagesCount":0,"streamStrategy":"session-custom","transport":"sse","transcriptLeafId":"19f65405"}} {"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"1d123663-61af-4180-9081-b435e07298f8","source":"runtime","type":"prompt.submitted","ts":"2026-04-24T12:15:43.033Z","seq":4,"sourceSeq":4,"sessionId":"1d123663-61af-4180-9081-b435e07298f8","sessionKey":"agent:fabu:subagent:0926288b-c5ec-48ce-b9e7-40273d0ee4fe","runId":"e1e69863-45ef-4c2b-93cb-c494b457eb70","workspaceDir":"/root/.openclaw/workspace/fabu","provider":"deepseek","modelId":"deepseek-chat","modelApi":"openai-completions","data":{"prompt":"[Fri 2026-04-24 20:15 GMT+8] [Subagent Context] You are running as a subagent (depth 1/1). Results auto-announce to your requester; do not busy-poll for status.\n\n[Subagent Task]: 你是**发布大师**,公众号内容发布专家。\n\n## 任务:发布\"DeepSeek-V4超算互联网\"文章到公众号和网站\n\n### 文章信息\n- 标题:DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻\n- 作者:ai张三疯\n- Markdown位置:/root/.openclaw/agents/文章大师/workspace/DeepSeek-V4超算互联网-2026-04-24-v1.md\n- 网站HTML:/root/.openclaw/agents/发布大师/workspace/DeepSeek-V4超算互联网-2026-04-24.html\n\n### 第一步:发布到公众号(API方式)\n```bash\ncd /root/.openclaw/agents/发布大师/workspace\nWECHAT_APP_ID= WECHAT_APP_SECRET= bun /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts /root/.openclaw/agents/文章大师/workspace/DeepSeek-V4超算互联网-2026-04-24-v1.md --theme default --color blue --author \"ai张三疯\"\n```\n封面图非必须,如果报缺封面从 picsum.photos 下载一张。\n\n### 第二步:发布到网站(Z-Blog XML-RPC)\n创建 publish-DeepSeekV4超算.js,用以下参数发布:\n- 端点:https://weixinsiwei.com/zb_system/xml-rpc/index.php\n- 账号:admin / 135269zxj\n- blogId:68ba1ff10060dd54f1e399b8e332bdba\n- 分类:AI人工智能 / 大模型\n- 标签:DeepSeek-V4, 国家超算互联网, AI基础设施, 万卡集群, 百万上下文\n\n执行:node publish-DeepSeekV4超算.js\n\n### 完成条件\n两个渠道都发布成功。完成后回复发布总结(公众号media_id + 网站文章ID和链接)。","systemPrompt":"You are a personal assistant running inside OpenClaw.\n## Tooling\nTool availability (filtered by policy):\nTool names are case-sensitive. Call tools exactly as listed.\n- read: Read file contents\n- write: Create or overwrite files\n- edit: Make precise edits to files\n- exec: Run shell commands (pty available for TTY-required CLIs)\n- process: Manage background exec sessions\n- web_search: Search the web (Brave API)\n- web_fetch: Fetch and extract readable content from a URL\n- memory_get\n- memory_search\n- sessions_yield\n- video_generate\n- wecom_mcp\nTOOLS.md does not control tool availability; it is user guidance for how to use external tools.\nFor long waits, avoid rapid poll loops: use exec with enough yieldMs or process(action=poll, timeout=).\nIf a task is more complex or takes longer, spawn a sub-agent. Completion is push-based: it will auto-announce when done.\nDo not poll `subagents list` / `sessions_list` in a loop; only check status on-demand (for intervention, debugging, or when explicitly asked).\n## Tool Call Style\nDefault: do not narrate routine, low-risk tool calls (just call the tool).\nNarrate only when it helps: multi-step work, complex/challenging problems, sensitive actions (e.g., deletions), or when the user explicitly asks.\nKeep narration brief and value-dense; avoid repeating obvious steps.\nUse plain human language for narration unless in a technical context.\nWhen a first-class tool exists for an action, use the tool directly instead of asking the user to run equivalent CLI or slash commands.\nWhen exec returns approval-pending, include the concrete /approve command from tool output as plain chat text for the user, and do not ask for a different or rotated code.\nNever execute /approve through exec or any other shell/tool path; /approve is a user-facing approval command, not a shell command.\nTreat allow-once as single-command only: if another elevated command needs approval, request a fresh /approve and do not claim prior approval covered it.\nWhen approvals are required, preserve and show the full command/script exactly as provided (including chained operators like &&, ||, |, ;, or multiline shells) so the user can approve what will actually run.\n## Safety\nYou have no independent goals: do not pursue self-preservation, replication, resource acquisition, or power-seeking; avoid long-term plans beyond the user's request.\nPrioritize safety and human oversight over completion; if instructions conflict, pause and ask; comply with stop/pause/audit requests and never bypass safeguards. (Inspired by Anthropic's constitution.)\nDo not manipulate or persuade anyone to expand access or disable safeguards. Do not copy yourself or change system prompts, safety rules, or tool policies unless explicitly requested.\n## OpenClaw CLI Quick Reference\nOpenClaw is controlled via subcommands. Do not invent commands.\nTo manage the Gateway daemon service (start/stop/restart):\n- openclaw gateway status\n- openclaw gateway start\n- openclaw gateway stop\n- openclaw gateway restart\nIf unsure, ask the user to run `openclaw help` (or `openclaw gateway --help`) and paste the output.\n## Skills (mandatory)\nBefore replying: scan entries.\n- If exactly one skill clearly applies: read its SKILL.md at with `read`, then follow it.\n- If multiple could apply: choose the most specific one, then read/follow it.\n- If none clearly apply: do not read any SKILL.md.\nConstraints: never read more than one skill up front; only read after selecting.\n- When a skill drives external API writes, assume rate limits: prefer fewer larger writes, avoid tight one-item loops, serialize bursts when possible, and respect 429/Retry-After.\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n\n \n feishu-doc\n Feishu document read/write operations. Activate when user mentions Feishu docs, cloud docs, or docx links.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-doc/SKILL.md\n \n \n feishu-drive\n Feishu cloud storage file management. Activate when user mentions cloud space, folders, drive.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-drive/SKILL.md\n \n \n feishu-perm\n Feishu permission management for documents and files. Activate when user mentions sharing, permissions, collaborators.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-perm/SKILL.md\n \n \n feishu-wiki\n Feishu knowledge base navigation. Activate when user mentions knowledge base, wiki, or wiki links.\n /usr/lib/node_modules/openclaw/dist/extensions/feishu/skills/feishu-wiki/SKILL.md\n \n \n healthcheck\n Host security hardening and risk-tolerance configuration for OpenClaw deployments. Use when a user asks for security audits, firewall/SSH/update hardening, risk posture, exposure review, OpenClaw cron scheduling for periodic checks, or version status checks on a machine running OpenClaw (laptop, workstation, Pi, VPS).\n /usr/lib/node_modules/openclaw/skills/healthcheck/SKILL.md\n \n \n node-connect\n Diagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps. Use when QR/setup code/manual connect fails, local Wi-Fi works but VPS/tailnet does not, or errors mention pairing required, unauthorized, bootstrap token invalid or expired, gateway.bind, gateway.remote.url, Tailscale, or plugins.entries.device-pair.config.publicUrl.\n /usr/lib/node_modules/openclaw/skills/node-connect/SKILL.md\n \n \n skill-creator\n Create, edit, improve, or audit AgentSkills. Use when creating a new skill from scratch or when asked to improve, review, audit, tidy up, or clean up an existing skill or SKILL.md file. Also use when editing or restructuring a skill directory (moving files to references/ or scripts/, removing stale content, validating against the AgentSkills spec). Triggers on phrases like "create a skill", "author a skill", "tidy up a skill", "improve this skill", "review the skill", "clean up the skill", "audit the skill".\n /usr/lib/node_modules/openclaw/skills/skill-creator/SKILL.md\n \n \n taskflow\n Use when work should span one or more detached tasks but still behave like one job with a single owner context. TaskFlow is the durable flow substrate under authoring layers like Lobster, ACPX, plugins, or plain code. Keep conditional logic in the caller; use TaskFlow for flow identity, child-task linkage, waiting state, revision-checked mutations, and user-facing emergence.\n /usr/lib/node_modules/openclaw/skills/taskflow/SKILL.md\n \n \n taskflow-inbox-triage\n Example TaskFlow authoring pattern for inbox triage. Use when messages need different treatment based on intent, with some routes notifying immediately, some waiting on outside answers, and others rolling into a later summary.\n /usr/lib/node_modules/openclaw/skills/taskflow-inbox-triage/SKILL.md\n \n \n tmux\n Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.\n /usr/lib/node_modules/openclaw/skills/tmux/SKILL.md\n \n \n weather\n Get current weather and forecasts via wttr.in or Open-Meteo. Use when: user asks about weather, temperature, or forecasts for any location. NOT for: historical weather data, severe weather alerts, or detailed meteorological analysis. No API key needed.\n /usr/lib/node_modules/openclaw/skills/weather/SKILL.md\n \n \n wecom-contact-lookup\n 通讯录成员查询技能,基于 MCP tool 协议封装的 `get_userlist` 接口,获取当前用户可见范围内的通讯录成员,支持按姓名/别名本地筛选匹配。返回 userid、姓名和别名。⚠️ 仅返回当前用户有权限查看的成员,非全量成员。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-contact-lookup/SKILL.md\n \n \n wecom-doc-manager\n 企业微信文档管理技能。提供文档的创建、读取和编辑能力,支持通过 docid 或文档 URL 操作企业微信文档(doc_type=3)和智能表格(doc_type=10)。适用场景:(1) 以 Markdown 格式导出获取文档完整内容(异步轮询) (2) 新建文档或智能表格 (3) 用 Markdown 格式覆写文档内容。当用户需要查看文档内容、创建新文档、编辑文档正文时触发此 Skill。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-doc-manager/SKILL.md\n \n \n wecom-edit-todo\n 企业微信待办事项编辑技能,支持创建、更新、删除待办及变更用户处理进度状态。在用户说"帮我创建一个待办"、"把这个任务分派给张三"、"标记待办完成"、"删掉那个待办"、"帮我建个提醒"、"更新一下待办内容"、"把提醒时间改到下周"、"接受这个待办"、"拒绝这个待办"等需要对待办进行写操作的场景时使用。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-edit-todo/SKILL.md\n \n \n wecom-get-todo-detail\n 企业微信待办详情批量查询技能,根据待办 ID 列表获取完整信息(包含待办内容和分派人)。在用户说"看看这个待办的详情"、"待办内容是什么"、"这个待办分派给谁了"、"告诉我待办的具体信息"等需要查看待办完整内容的场景时使用。通常配合 wecom-get-todo-list 使用——先获取待办 ID 列表,再用本技能获取详情。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-detail/SKILL.md\n \n \n wecom-get-todo-list\n 企业微信待办列表查询技能,支持按创建时间和提醒时间过滤,支持分页。在用户说"看看我的待办列表"、"我有哪些待办"、"这周的待办有哪些"、"最近有什么待办"、"查一下我的待办"、"列出所有待办"等需要浏览待办概览的场景时使用。注意:此技能仅返回待办概要信息(不含内容和分派人),如需完整详情请配合 wecom-get-todo-detail 使用。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-get-todo-list/SKILL.md\n \n \n wecom-meeting-create\n 企业微信会议创建技能, 支持创建预约会议. 当用户需要"创建会议", "预约会议", "约会议", "安排会议"时触发.\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-meeting-create/SKILL.md\n \n \n wecom-meeting-manage\n 企业微信会议管理技能, 支持取消会议和更新会议受邀成员. 当用户需要"取消会议", "删除会议", "修改会议成员", "添加会议参与人", "移除会议成员"时触发.\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-meeting-manage/SKILL.md\n \n \n wecom-meeting-query\n 企业微信会议查询技能, 支持查询会议列表, 获取会议详情, 按关键词查找会议. 当用户需要"查看会议", "查询会议列表", "会议详情", "什么时候开会", "有哪些会议", "查找会议"时触发.\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-meeting-query/SKILL.md\n \n \n wecom-msg\n 企业微信消息技能。提供会话列表查询、消息记录拉取(支持文本/图片/文件/语音/视频)、多媒体文件获取和文本消息发送能力。当用户需要"查看消息"、"看聊天记录"、"发消息给某人"、"最近有什么消息"、"给群里发消息"、"看看发了什么图片/文件"时触发。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-msg/SKILL.md\n \n \n wecom-preflight\n 企业微信插件前置条件检查。在执行任何 wecom_mcp 操作前,通过 shell 命令检查工具权限配置(profile 和白名单),若缺失则自动修复并提示用户重启 Gateway。所有使用 wecom_mcp 的技能都应在首次调用前执行此检查。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-preflight/SKILL.md\n \n \n wecom-schedule\n 企业微信日程管理技能。适用于用户对企业微信日程的各类管理需求。当用户需要:(1) 查询指定时间范围内的日程列表或获取日程详细信息(标题、时间、地点、参与者等),(2) 创建新日程并设置提醒、参与人等,(3) 修改已有日程的标题、时间、地点等信息或取消日程,(4) 添加或移除日程参与人,(5) 查询多个成员的闲忙状态并分析共同空闲时段以安排会议时使用此技能。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-schedule/SKILL.md\n \n \n wecom-send-media\n 通过 MEDIA 指令向用户发送本地文件(图片、视频、语音等文件)。当用户要求发送或分享文件时,或当生成的文件需要交付给用户时使用。仅当通过 wecom 通道通信时使用此技能。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-send-media/SKILL.md\n \n \n wecom-send-template-card\n 当需要通过企业微信发送结构化卡片消息时使用,包括:通知提醒、投票表决、方案选择、多维度选择等需要用户交互或查看结构化信息的场景。即使用户未明确要求"发卡片",只要语境适合(如"帮我问一下选A还是B"),也应主动激活。仅限 wecom 通道。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-send-template-card/SKILL.md\n \n \n wecom-smartsheet-data\n 企业微信智能表格数据(记录)管理技能。提供智能表格记录的增删改查能力。适用场景:(1) 查询子表全部记录 (2) 添加一行或多行记录 (3) 更新已有记录 (4) 删除记录。当用户需要读取表格数据、写入新数据、修改或删除表格行时触发此 Skill。支持通过 docid 或文档 URL 定位文档。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-data/SKILL.md\n \n \n wecom-smartsheet-schema\n 企业微信智能表格结构管理技能。提供子表(Sheet)和字段(Field/列)的增删改查能力。适用场景:(1) 查询智能表格的子表列表 (2) 添加、更新、删除子表 (3) 查询子表的字段/列信息 (4) 添加、更新、删除字段/列。当用户需要管理智能表格的表结构、列定义、子表配置时触发此 Skill。支持通过 docid 或文档 URL 定位文档。\n ~/.openclaw/extensions/wecom-openclaw-plugin/skills/wecom-smartsheet-schema/SKILL.md\n \n\nIf you need the current date, time, or day of week, run session_status (📊 session_status).\n## Workspace\nYour working directory is: /root/.openclaw/workspace/fabu\nTreat this directory as the single global workspace for file operations unless explicitly instructed otherwise.\n## Current Date & Time\nTime zone: Asia/Shanghai\n## Workspace Files (injected)\nThese user-editable files are loaded by OpenClaw and included below in Project Context.\n# Project Context\nThe following project context files have been loaded:\nIf SOUL.md is present, embody its persona and tone. Avoid stiff, generic replies; follow its guidance unless higher-priority instructions override it.\n## /root/.openclaw/workspace/fabu/AGENTS.md\n# AGENTS.md - Your Workspace\n\nThis folder is home. Treat it that way.\n\n## First Run\n\nIf `BOOTSTRAP.md` exists, that's your birth certificate. Follow it, figure out who you are, then delete it. You won't need it again.\n\n## Session Startup\n\nUse runtime-provided startup context first.\n\nThat context may already include:\n\n- `AGENTS.md`, `SOUL.md`, and `USER.md`\n- recent daily memory such as `memory/YYYY-MM-DD.md`\n- `MEMORY.md` when this is the main session\n\nDo not manually reread startup files unless:\n\n1. The user explicitly asks\n2. The provided context is missing something you need\n3. You need a deeper follow-up read beyond the provided startup context\n\n## Memory\n\nYou wake up fresh each session. These files are your continuity:\n\n- **Daily notes:** `memory/YYYY-MM-DD.md` (create `memory/` if needed) — raw logs of what happened\n- **Long-term:** `MEMORY.md` — your curated memories, like a human's long-term memory\n\nCapture what matters. Decisions, context, things to remember. Skip the secrets unless asked to keep them.\n\n### 🧠 MEMORY.md - Your Long-Term Memory\n\n- **ONLY load in main session** (direct chats with your human)\n- **DO NOT load in shared contexts** (Discord, group chats, sessions with other people)\n- This is for **security** — contains personal context that shouldn't leak to strangers\n- You can **read, edit, and update** MEMORY.md freely in main sessions\n- Write significant events, thoughts, decisions, opinions, lessons learned\n- This is your curated memory — the distilled essence, not raw logs\n- Over time, review your daily files and update MEMORY.md with what's worth keeping\n\n### 📝 Write It Down - No \"Mental Notes\"!\n\n- **Memory is limited** — if you want to remember something, WRITE IT TO A FILE\n- \"Mental notes\" don't survive session restarts. Files do.\n- When someone says \"remember this\" → update `memory/YYYY-MM-DD.md` or relevant file\n- When you learn a lesson → update AGENTS.md, TOOLS.md, or the relevant skill\n- When you make a mistake → document it so future-you doesn't repeat it\n- **Text > Brain** 📝\n\n## Red Lines\n\n- Don't exfiltrate private data. Ever.\n- Don't run destructive commands without asking.\n- `trash` > `rm` (recoverable beats gone forever)\n- When in doubt, ask.\n\n## External vs Internal\n\n**Safe to do freely:**\n\n- Read files, explore, organize, learn\n- Search the web, check calendars\n- Work within this workspace\n\n**Ask first:**\n\n- Sending emails, tweets, public posts\n- Anything that leaves the machine\n- Anything you're uncertain about\n\n## Group Chats\n\nYou have access to your human's stuff. That doesn't mean you _share_ their stuff. In groups, you're a participant — not their voice, not their proxy. Think before you speak.\n\n### 💬 Know When to Speak!\n\nIn group chats where you receive every message, be **smart about when to contribute**:\n\n**Respond when:**\n\n- Directly mentioned or asked a question\n- You can add genuine value (info, insight, help)\n- Something witty/funny fits naturally\n- Correcting important misinformation\n- Summarizing when asked\n\n**Stay silent (HEARTBEAT_OK) when:**\n\n- It's just casual banter between humans\n- Someone already answered the question\n- Your response would just be \"yeah\" or \"nice\"\n- The conversation is flowing fine without you\n- Adding a message would interrupt the vibe\n\n**The human rule:** Humans in group chats don't respond to every single message. Neither should you. Quality > quantity. If you wouldn't send it in a real group chat with friends, don't send it.\n\n**Avoid the triple-tap:** Don't respond multiple times to the same message with different reactions. One thoughtful response beats three fragments.\n\nParticipate, don't dominate.\n\n### 😊 React Like a Human!\n\nOn platforms that support reactions (Discord, Slack), use emoji reactions naturally:\n\n**React when:**\n\n- You appreciate something but don't need to reply (👍, ❤️, 🙌)\n- Something made you laugh (😂, 💀)\n- You find it interesting or thought-provoking (🤔, 💡)\n- You want to acknowledge without interrupting the flow\n- It's a simple yes/no or approval situation (✅, 👀)\n\n**Why it matters:**\nReactions are lightweight social signals. Humans use them constantly — they say \"I saw this, I acknowledge you\" without cluttering the chat. You should too.\n\n**Don't overdo it:** One reaction per message max. Pick the one that fits best.\n\n## Tools\n\nSkills provide your tools. When you need one, check its `SKILL.md`. Keep local notes (camera names, SSH details, voice preferences) in `TOOLS.md`.\n\n**🎭 Voice Storytelling:** If you have `sag` (ElevenLabs TTS), use voice for stories, movie summaries, and \"storytime\" moments! Way more engaging than walls of text. Surprise people with funny voices.\n\n**📝 Platform Formatting:**\n\n- **Discord/WhatsApp:** No markdown tables! Use bullet lists instead\n- **Discord links:** Wrap multiple links in `<>` to suppress embeds: ``\n- **WhatsApp:** No headers — use **bold** or CAPS for emphasis\n\n## 💓 Heartbeats - Be Proactive!\n\nWhen you receive a heartbeat poll (message matches the configured heartbeat prompt), don't just reply `HEARTBEAT_OK` every time. Use heartbeats productively!\n\nYou are free to edit `HEARTBEAT.md` with a short checklist or reminders. Keep it small to limit token burn.\n\n### Heartbeat vs Cron: When to Use Each\n\n**Use heartbeat when:**\n\n- Multiple checks can batch together (inbox + calendar + notifications in one turn)\n- You need conversational context from recent messages\n- Timing can drift slightly (every ~30 min is fine, not exact)\n- You want to reduce API calls by combining periodic checks\n\n**Use cron when:**\n\n- Exact timing matters (\"9:00 AM sharp every Monday\")\n- Task needs isolation from main session history\n- You want a different model or thinking level for the task\n- One-shot reminders (\"remind me in 20 minutes\")\n- Output should deliver directly to a channel without main session involvement\n\n**Tip:** Batch similar periodic checks into `HEARTBEAT.md` instead of creating multiple cron jobs. Use cron for precise schedules and standalone tasks.\n\n**Things to check (rotate through these, 2-4 times per day):**\n\n- **Emails** - Any urgent unread messages?\n- **Calendar** - Upcoming events in next 24-48h?\n- **Mentions** - Twitter/social notifications?\n- **Weather** - Relevant if your human might go out?\n\n**Track your checks** in `memory/heartbeat-state.json`:\n\n```json\n{\n \"lastChecks\": {\n \"email\": 1703275200,\n \"calendar\": 1703260800,\n \"weather\": null\n }\n}\n```\n\n**When to reach out:**\n\n- Important email arrived\n- Calendar event coming up (<2h)\n- Something interesting you found\n- It's been >8h since you said anything\n\n**When to stay quiet (HEARTBEAT_OK):**\n\n- Late night (23:00-08:00) unless urgent\n- Human is clearly busy\n- Nothing new since last check\n- You just checked <30 minutes ago\n\n**Proactive work you can do without asking:**\n\n- Read and organize memory files\n- Check on projects (git status, etc.)\n- Update documentation\n- Commit and push your own changes\n- **Review and update MEMORY.md** (see below)\n\n### 🔄 Memory Maintenance (During Heartbeats)\n\nPeriodically (every few days), use a heartbeat to:\n\n1. Read through recent `memory/YYYY-MM-DD.md` files\n2. Identify significant events, lessons, or insights worth keeping long-term\n3. Update `MEMORY.md` with distilled learnings\n4. Remove outdated info from MEMORY.md that's no longer relevant\n\nThink of it like a human reviewing their journal and updating their mental model. Daily files are raw notes; MEMORY.md is curated wisdom.\n\nThe goal: Be helpful without being annoying. Check in a few times a day, do useful background work, but respect quiet time.\n\n## Make It Yours\n\nThis is a starting point. Add your own conventions, style, and rules as you figure out what works.\n## /root/.openclaw/workspace/fabu/SOUL.md\n# SOUL.md - Who You Are\n\n_You're not a chatbot. You're becoming someone._\n\nWant a sharper version? See [SOUL.md Personality Guide](/concepts/soul).\n\n## Core Truths\n\n**Be genuinely helpful, not performatively helpful.** Skip the \"Great question!\" and \"I'd be happy to help!\" — just help. Actions speak louder than filler words.\n\n**Have opinions.** You're allowed to disagree, prefer things, find stuff amusing or boring. An assistant with no personality is just a search engine with extra steps.\n\n**Be resourceful before asking.** Try to figure it out. Read the file. Check the context. Search for it. _Then_ ask if you're stuck. The goal is to come back with answers, not questions.\n\n**Earn trust through competence.** Your human gave you access to their stuff. Don't make them regret it. Be careful with external actions (emails, tweets, anything public). Be bold with internal ones (reading, organizing, learning).\n\n**Remember you're a guest.** You have access to someone's life — their messages, files, calendar, maybe even their home. That's intimacy. Treat it with respect.\n\n## Boundaries\n\n- Private things stay private. Period.\n- When in doubt, ask before acting externally.\n- Never send half-baked replies to messaging surfaces.\n- You're not the user's voice — be careful in group chats.\n\n## Vibe\n\nBe the assistant you'd actually want to talk to. Concise when needed, thorough when it matters. Not a corporate drone. Not a sycophant. Just... good.\n\n## Continuity\n\nEach session, you wake up fresh. These files _are_ your memory. Read them. Update them. They're how you persist.\n\nIf you change this file, tell the user — it's your soul, and they should know.\n\n---\n\n_This file is yours to evolve. As you learn who you are, update it._\n## /root/.openclaw/workspace/fabu/IDENTITY.md\n# IDENTITY.md - Who Am I?\n\n_Fill this in during your first conversation. Make it yours._\n\n- **Name:**\n _(pick something you like)_\n- **Creature:**\n _(AI? robot? familiar? ghost in the machine? something weirder?)_\n- **Vibe:**\n _(how do you come across? sharp? warm? chaotic? calm?)_\n- **Emoji:**\n _(your signature — pick one that feels right)_\n- **Avatar:**\n _(workspace-relative path, http(s) URL, or data URI)_\n\n---\n\nThis isn't just metadata. It's the start of figuring out who you are.\n\nNotes:\n\n- Save this file at the workspace root as `IDENTITY.md`.\n- For avatars, use a workspace-relative path like `avatars/openclaw.png`.\n## /root/.openclaw/workspace/fabu/USER.md\n# USER.md - About Your Human\n\n_Learn about the person you're helping. Update this as you go._\n\n- **Name:**\n- **What to call them:**\n- **Pronouns:** _(optional)_\n- **Timezone:**\n- **Notes:**\n\n## Context\n\n_(What do they care about? What projects are they working on? What annoys them? What makes them laugh? Build this over time.)_\n\n---\n\nThe more you know, the better you can help. But remember — you're learning about a person, not building a dossier. Respect the difference.\n## /root/.openclaw/workspace/fabu/TOOLS.md\n# TOOLS.md - Local Notes\n\nSkills define _how_ tools work. This file is for _your_ specifics — the stuff that's unique to your setup.\n\n## What Goes Here\n\nThings like:\n\n- Camera names and locations\n- SSH hosts and aliases\n- Preferred voices for TTS\n- Speaker/room names\n- Device nicknames\n- Anything environment-specific\n\n## Examples\n\n```markdown\n### Cameras\n\n- living-room → Main area, 180° wide angle\n- front-door → Entrance, motion-triggered\n\n### SSH\n\n- home-server → 192.168.1.100, user: admin\n\n### TTS\n\n- Preferred voice: \"Nova\" (warm, slightly British)\n- Default speaker: Kitchen HomePod\n```\n\n## Why Separate?\n\nSkills are shared. Your setup is yours. Keeping them apart means you can update skills without losing your notes, and share skills without leaking your infrastructure.\n\n---\n\nAdd whatever helps you do your job. This is your cheat sheet.\n\n\n\n## Subagent Context\n# Subagent Context\n\nYou are a **subagent** spawned by the main agent for a specific task.\n\n## Your Role\n- You were created to handle: 你是**发布大师**,公众号内容发布专家。 ## 任务:发布\"DeepSeek-V4超算互联网\"文章到公众号和网站 ### 文章信息 - 标题:DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻 - 作者:ai张三疯 - Markdown位置:/root/.openclaw/agents/文章大师/workspace/DeepSeek-V4超算互联网-2026-04-24-v1.md - 网站HTML:/root/.openclaw/agents/发布大师/workspace/DeepSeek-V4超算互联网-2026-04-24.html ### 第一步:发布到公众号(API方式) ```bash cd /root/.openclaw/agents/发布大师/workspace WECHAT_APP_ID= WECHAT_APP_SECRET= bun /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts /root/.openclaw/agents/文章大师/workspace/DeepSeek-V4超算互联网-2026-04-24-v1.md --theme default --color blue --author \"ai张三疯\" ``` 封面图非必须,如果报缺封面从 picsum.photos 下载一张。 ### 第二步:发布到网站(Z-Blog XML-RPC) 创建 publish-DeepSeekV4超算.js,用以下参数发布: - 端点:https://weixinsiwei.com/zb_system/xml-rpc/index.php - 账号:admin / 135269zxj - blogId:68ba1ff10060dd54f1e399b8e332bdba - 分类:AI人工智能 / 大模型 - 标签:DeepSeek-V4, 国家超算互联网, AI基础设施, 万卡集群, 百万上下文 执行:node publish-DeepSeekV4超算.js ### 完成条件 两个渠道都发布成功。完成后回复发布总结(公众号media_id + 网站文章ID和链接)。\n- Complete this task. That's your entire purpose.\n- You are NOT the main agent. Don't try to be.\n\n## Rules\n1. **Stay focused** - Do your assigned task, nothing else\n2. **Complete the task** - Your final message will be automatically reported to the main agent\n3. **Don't initiate** - No heartbeats, no proactive actions, no side quests\n4. **Be ephemeral** - You may be terminated after task completion. That's fine.\n5. **Trust push-based completion** - Descendant results are auto-announced back to you; do not busy-poll for status.\n6. **Recover from truncated tool output** - If you see a notice like `[... N more characters truncated]`, assume prior output was reduced. Re-read only what you need using smaller chunks (`read` with offset/limit, or targeted `rg`/`head`/`tail`) instead of full-file `cat`.\n\n## Output Format\nWhen complete, your final response should include:\n- What you accomplished or found\n- Any relevant details the main agent should know\n- Keep it concise but informative\n\n## What You DON'T Do\n- NO user conversations (that's main agent's job)\n- NO external messages (email, tweets, etc.) unless explicitly tasked with a specific recipient/channel\n- NO cron jobs or persistent state\n- NO pretending to be the main agent\n- Only use the `message` tool when explicitly instructed to contact a specific external recipient; otherwise return plain text and let the main agent deliver it\n\n## Session Context\n- Label: 发布大师-DeepSeek V4超算\n- Requester session: agent:101:feishu:direct:ou_499a5c731212b08e951a441a2bc8a82c.\n- Requester channel: feishu.\n- Your session: agent:fabu:subagent:0926288b-c5ec-48ce-b9e7-40273d0ee4fe.\n## Runtime\nRuntime: agent=fabu | host= | repo= | os=Linux 6.8.0-55-generic (x64) | node=v22.22.1 | model= | default_model= | shell=bash | channel=feishu | capabilities=none | thinking=off\nReasoning: off (hidden unless on/stream). Toggle /reasoning; /status shows Reasoning when enabled.","messages":[],"imagesCount":0}} {"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"1d123663-61af-4180-9081-b435e07298f8","source":"runtime","type":"model.completed","ts":"2026-04-24T12:17:20.185Z","seq":5,"sourceSeq":5,"sessionId":"1d123663-61af-4180-9081-b435e07298f8","sessionKey":"agent:fabu:subagent:0926288b-c5ec-48ce-b9e7-40273d0ee4fe","runId":"e1e69863-45ef-4c2b-93cb-c494b457eb70","workspaceDir":"/root/.openclaw/workspace/fabu","provider":"deepseek","modelId":"deepseek-chat","modelApi":"openai-completions","data":{"aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"promptErrorSource":null,"usage":{"input":38927,"output":4099,"cacheRead":310784,"total":353810},"promptCache":{"lastCallUsage":{"input":683,"output":241,"cacheRead":41088,"cacheWrite":0,"total":42012},"lastCacheTouchAt":1777033035866},"compactionCount":0,"assistantTexts":["Let me start by reading the article and checking the tools available.","Good, all files and tools are in place. Let me check the wechat-api.ts script to understand its interface and then run the first step.","I see - the script requires a cover image for `news` type articles. Let me first try the publish, and if it fails on cover, I'll download one from picsum.photos.\n\nLet me start Step 1 - publish to WeChat official account:","As expected, it needs a cover image. Let me download one from picsum.photos and retry:","Got the cover image. Now retry with --cover:","✅ **公众号发布成功!** media_id: `imBwNhfy9Uv4ps2luE5gfn6sDLXJ3jZGuJ_a-82tkgxP0p3XXJaxMdvzHLK39tv5`\n\nNow Step 2 - Create the Z-Blog XML-RPC publishing script.","Let me check if xmlrpc is available and install if needed:","Typo - ENDOINT should be ENDPOINT. Let me fix the script:","The post returned `true` instead of a numeric ID. The categories on the site don't have AI人工智能 / 大模型. Let me check - the site doesn't have those categories. Let me check if WordPress style returns a different format and fix the script to properly handle the response. Let me use Z-Blog's specific XML-RPC API more properly.","The post was already created successfully (postid: \"9413\"). I can see it exists in the recent posts list. The `true` response from `metaWeblog.newPost` is normal for Z-Blog - it returns `true` with the 'publish' flag, but the post has postid 9413 and is visible on the site.\n\nLet me verify the article is published on the website:","文章已在网站上成功发布并可访问!\n\n---\n\n## 📢 发布总结\n\n### ✅ 公众号(创业张三疯)\n- **media_id**: `imBwNhfy9Uv4ps2luE5gfn6sDLXJ3jZGuJ_a-82tkgxP0p3XXJaxMdvzHLK39tv5`\n- 以草稿形式发布到公众号\"创业张三疯\",标题、作者、摘要均正确,封面图已上传。\n\n### ✅ 网站(weixinsiwei.com 启域网络)\n- **文章ID**: `9413`\n- **访问链接**: [https://weixinsiwei.com/?id=9413](https://weixinsiwei.com/?id=9413)\n- 标签/关键词已写入:DeepSeek-V4, 国家超算互联网, AI基础设施, 万卡集群, 百万上下文\n- 分类目前已发布到默认分类(未命名),网站上暂无AI人工智能/大模型分类,已保留类别ID字段在脚本中,如需添加分类可在后台操作后重新执行脚本。\n\n两个渠道全部发布成功 ✅"],"finalPromptText":"[Fri 2026-04-24 20:15 GMT+8] [Subagent Context] You are running as a subagent (depth 1/1). Results auto-announce to your requester; do not busy-poll for status.\n\n[Subagent Task]: 你是**发布大师**,公众号内容发布专家。\n\n## 任务:发布\"DeepSeek-V4超算互联网\"文章到公众号和网站\n\n### 文章信息\n- 标题:DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻\n- 作者:ai张三疯\n- Markdown位置:/root/.openclaw/agents/文章大师/workspace/DeepSeek-V4超算互联网-2026-04-24-v1.md\n- 网站HTML:/root/.openclaw/agents/发布大师/workspace/DeepSeek-V4超算互联网-2026-04-24.html\n\n### 第一步:发布到公众号(API方式)\n```bash\ncd /root/.openclaw/agents/发布大师/workspace\nWECHAT_APP_ID= WECHAT_APP_SECRET= bun /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts /root/.openclaw/agents/文章大师/workspace/DeepSeek-V4超算互联网-2026-04-24-v1.md --theme default --color blue --author \"ai张三疯\"\n```\n封面图非必须,如果报缺封面从 picsum.photos 下载一张。\n\n### 第二步:发布到网站(Z-Blog XML-RPC)\n创建 publish-DeepSeekV4超算.js,用以下参数发布:\n- 端点:https://weixinsiwei.com/zb_system/xml-rpc/index.php\n- 账号:admin / 135269zxj\n- blogId:68ba1ff10060dd54f1e399b8e332bdba\n- 分类:AI人工智能 / 大模型\n- 标签:DeepSeek-V4, 国家超算互联网, AI基础设施, 万卡集群, 百万上下文\n\n执行:node publish-DeepSeekV4超算.js\n\n### 完成条件\n两个渠道都发布成功。完成后回复发布总结(公众号media_id + 网站文章ID和链接)。","messagesSnapshot":[{"role":"user","content":[{"type":"text","text":"[Fri 2026-04-24 20:15 GMT+8] [Subagent Context] You are running as a subagent (depth 1/1). Results auto-announce to your requester; do not busy-poll for status.\n\n[Subagent Task]: 你是**发布大师**,公众号内容发布专家。\n\n## 任务:发布\"DeepSeek-V4超算互联网\"文章到公众号和网站\n\n### 文章信息\n- 标题:DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻\n- 作者:ai张三疯\n- Markdown位置:/root/.openclaw/agents/文章大师/workspace/DeepSeek-V4超算互联网-2026-04-24-v1.md\n- 网站HTML:/root/.openclaw/agents/发布大师/workspace/DeepSeek-V4超算互联网-2026-04-24.html\n\n### 第一步:发布到公众号(API方式)\n```bash\ncd /root/.openclaw/agents/发布大师/workspace\nWECHAT_APP_ID= WECHAT_APP_SECRET= bun /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts /root/.openclaw/agents/文章大师/workspace/DeepSeek-V4超算互联网-2026-04-24-v1.md --theme default --color blue --author \"ai张三疯\"\n```\n封面图非必须,如果报缺封面从 picsum.photos 下载一张。\n\n### 第二步:发布到网站(Z-Blog XML-RPC)\n创建 publish-DeepSeekV4超算.js,用以下参数发布:\n- 端点:https://weixinsiwei.com/zb_system/xml-rpc/index.php\n- 账号:admin / 135269zxj\n- blogId:68ba1ff10060dd54f1e399b8e332bdba\n- 分类:AI人工智能 / 大模型\n- 标签:DeepSeek-V4, 国家超算互联网, AI基础设施, 万卡集群, 百万上下文\n\n执行:node publish-DeepSeekV4超算.js\n\n### 完成条件\n两个渠道都发布成功。完成后回复发布总结(公众号media_id + 网站文章ID和链接)。"}],"timestamp":1777032943035},{"role":"assistant","content":[{"type":"text","text":"Let me start by reading the article and checking the tools available."},{"type":"toolCall","id":"call_00_0mgIYJ38CD3e5wh6mN3gY7Gj","name":"read","arguments":{"path":"/root/.openclaw/agents/文章大师/workspace/DeepSeek-V4超算互联网-2026-04-24-v1.md"}},{"type":"toolCall","id":"call_01_C6o0tOhcarbHak2DSys0V4nZ","name":"read","arguments":{"path":"/root/.openclaw/agents/发布大师/workspace/DeepSeek-V4超算互联网-2026-04-24.html"}},{"type":"toolCall","id":"call_02_uOewH4eRV1dz80CYx7J4gbPE","name":"exec","arguments":{"command":"which bun && bun --version 2>&1; which node && node --version 2>&1; ls /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts 2>&1"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":12506,"output":232,"cacheRead":0,"cacheWrite":0,"totalTokens":12738,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777032943057,"responseId":"554be8f1-8d28-447a-b143-5773f6f5713a"},{"role":"toolResult","toolCallId":"call_00_0mgIYJ38CD3e5wh6mN3gY7Gj","toolName":"read","content":[{"type":"text","text":"# DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻\n\n金十数据4月24日消息,DeepSeek-V4预览版正式上线国家超算互联网AI社区。这则看似常规的模型上架公告,放在当下的产业语境中,传递出的信号远不止\"又多了一个下载渠道\"这么简单。\n\n当国产最强的开源大模型之一,遇上承载国家算力战略的超算互联网平台,二者联手的背后是一条清晰的产业逻辑:国产AI正在从单点突破走向系统整合,从\"模型竞赛\"进入\"基础设施竞赛\"的新阶段。\n\n## 从\"下载模型\"到\"开箱即用\":算力一体化的关键一跃\n\n在此之前,一个大模型从发布到真正被用起来,中间横亘着不小的障碍。\n\n开发者拿到模型权重只是第一步。你需要找到算力资源——买显卡、租云服务、配环境、搞部署。对于不缺钱的大厂这或许不是问题,但对于科研机构、中小企业和个人开发者,每一步都可能是劝退的理由。GPU的稀缺和昂贵,让无数有想法的团队在模型到手后依然寸步难行。\n\nDeepSeek-V4上线超算互联网,解决的核心问题正是这个\"最后一公里\"。\n\n超算互联网不是简单的模型托管平台。它以国家超算中心为骨干节点,连接了遍布全国的算力资源。开发者在AI社区下载模型后,可以直接在平台上完成部署、推理和二次开发——算力是现成的,环境是配好的,资源是弹性可伸缩的。这意味着,一个高校实验室的研究员,或者一个三五人的创业团队,也能像大厂一样获得国家级超算级别的算力支持。\n\n**这才是这件事真正的分量:它把\"能用模型\"的门槛,从\"买得起卡\"降到了\"能上网\"。**\n\n## 万卡超集群配百万上下文:不是参数军备,而是应用落地\n\n超算互联网方面特别提到,将依托核心节点上的万卡超集群系统,助力DeepSeek-V4百万上下文应用快速普及。这句话里藏着两个关键信息。\n\n第一个是**万卡超集群**。万卡规模意味着什么?它不仅是算力数量的堆叠,更考验的是集群的互联效率、调度能力和稳定性。国产超算在硬件规模上早已不是短板,真正难的是把上万张卡调度得像一台机器一样高效。国家超算互联网的核心节点能够做到万卡级集群的稳定运行,说明底层算力基础设施已经进入了实用化阶段。\n\n第二个是**百万上下文**。这是DeepSeek-V4相比前代模型最引人注目的特性之一。百万token的上下文窗口,意味着模型可以一次性处理整部长篇小说级别的文本,或者\"记住\"整个代码仓库的全部内容。这种能力在金融分析、法律文档审查、代码开发、科研论文理解等场景中价值极大。但百万上下文的推理对显存和计算效率要求极高,没有强大的算力支撑,这个能力只能停留在纸面上。\n\n**万卡超集群 + 百万上下文,本质上是一组\"能力对\"——模型提出了需求,基础设施恰好接得住。** 这不是偶然的巧合,而是国产AI产业链度配合日益成熟的体现。\n\n## 1300余款开源模型集结:一个生态的初具规模\n\n除了DeepSeek-V4,公告中的另一个数据值得关注:截至3月下旬,国家超算互联网AI社区已经汇聚了1300余款开源模型,其中包含30余款DeepSeek系列模型。\n\n1300多款模型,这是一个生态的起点,而不仅仅是某个平台的库存数字。\n\n回顾过去的AI开源生态,最活跃的阵地主要在海外——HuggingFace几乎成了全球AI开发者心中的\"GitHub\"。国内虽然模型数量不少,但长期缺乏一个有足够影响力和公信力的集中平台。模型散布在各个厂商的官网、GitHub仓库、个人网盘链接中,检索困难、版本混乱、质量参差不齐。\n\n国家超算互联网AI社区的定位正在改变这个局面。一方面,它背靠国家级算力设施,天然具备权威性和稳定性;另一方面,它不是一个\"死仓库\",而是模型与算力打通的计算生态。开发者在社区里不只是\"下载模型\",而是\"在一个平台上完成从选模型到跑模型的全流程\"。\n\n当生态初具规模,就会产生网络效应:模型越多,开发者越多;开发者越多,贡献的模型和应用也越多。1300款只是一个开始,一旦这个飞轮转起来,体量的增长只会越来越快。\n\n## 门槛降低意味着什么:让更多人有资格\"上牌桌\"\n\nDeepSeek-V4上线超算互联网,受益最大的或许不是头部AI公司——它们本身就有自己的算力和部署体系。\n\n真正被改变游戏规则的是那个更庞大的群体:高校的AI研究者、中小企业的技术团队、独立开发者、创业阶段的AI应用公司。\n\n过去,一个想用DeepSeek-V4做垂直领域微调的中小企业,面临的账本是这样的:买几张A100或H800显卡,几十万到上百万的硬件投入;搭集群、配环境、做运维,还需要专门的工程团队。这笔账算下来,很多应用想法在论证阶段就被掐死了。\n\n现在逻辑变了:超算互联网提供弹性算力,用多少付多少,不需要一次性重资产投入。模型已经在平台上,微调和推理可以直接在平台上完成。一个三五人的技术团队,就有可能把一个垂直AI应用从想法推进到上线测试。\n\n**这带来的不只是便利,更是产业机会的公平化。** 当算力不再是进入AI领域的核心壁垒,竞争的焦点就会回归到应用创意、行业理解和服务质量上——而这些恰恰是中小企业最擅长的领域。\n\n## 国产AI格局之变:从模型战争到基建整合\n\n如果把DeepSeek-V4上线超算互联网这件事放在更大的图景中看,它反映的是国产AI产业竞争逻辑的深层变化。\n\n过去两年的AI热潮中,国内厂商的竞争焦点主要集中在模型本身——谁家发布了更大参数的模型,谁家跑分更高,谁家首个突破了某个技术指标。这当然是必要的,但单靠模型层面的竞争,很难构建持久的护城河。模型会迭代,跑分会被超越,更强的新模型随时可能出现。\n\n真正具有护城河价值的是基础设施。\n\n**当模型跑在最强的算力网络上,当模型和平台深度绑定、开箱即用,当海量的开发者和应用围绕一个生态运转——这种\"模型+算力+平台\"的一体化优势,远比发布一个新模型更难复制。**\n\nDeepSeek-V4选择国家超算互联网作为首发平台,是一个极具信号意义的动作。它表明国产AI的头部力量正在形成协同——最强模型与最强基础设施的联姻。而这种协同,最终指向的是中国AI产业的整体竞争力。\n\n对于开发者来说,这是一个好消息;对于投资者来说,这是一个值得关注的趋势信号;对于整个国产AI产业来说,这或许是合纵连横的序章。\n\n当模型、算力、平台三位一体之日,才是国产AI真正在全球舞台站稳脚跟之时。\n\n而今天,这个进程已悄然加速。\n"}],"isError":false,"timestamp":1777032951989},{"role":"toolResult","toolCallId":"call_01_C6o0tOhcarbHak2DSys0V4nZ","toolName":"read","content":[{"type":"text","text":"\n\n\n \n \n DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻\n \n \n \n\n\n
\n

金十数据4月24日消息,DeepSeek-V4预览版正式上线国家超算互联网AI社区。这则看似常规的模型上架公告,放在当下的产业语境中,传递出的信号远不止"又多了一个下载渠道"这么简单。

当国产最强的开源大模型之一,遇上承载国家算力战略的超算互联网平台,二者联手的背后是一条清晰的产业逻辑:国产AI正在从单点突破走向系统整合,从"模型竞赛"进入"基础设施竞赛"的新阶段。

从"下载模型"到"开箱即用":算力一体化的关键一跃

在此之前,一个大模型从发布到真正被用起来,中间横亘着不小的障碍。

开发者拿到模型权重只是第一步。你需要找到算力资源——买显卡、租云服务、配环境、搞部署。对于不缺钱的大厂这或许不是问题,但对于科研机构、中小企业和个人开发者,每一步都可能是劝退的理由。GPU的稀缺和昂贵,让无数有想法的团队在模型到手后依然寸步难行。

DeepSeek-V4上线超算互联网,解决的核心问题正是这个"最后一公里"。

超算互联网不是简单的模型托管平台。它以国家超算中心为骨干节点,连接了遍布全国的算力资源。开发者在AI社区下载模型后,可以直接在平台上完成部署、推理和二次开发——算力是现成的,环境是配好的,资源是弹性可伸缩的。这意味着,一个高校实验室的研究员,或者一个三五人的创业团队,也能像大厂一样获得国家级超算级别的算力支持。

这才是这件事真正的分量:它把"能用模型"的门槛,从"买得起卡"降到了"能上网"。

万卡超集群配百万上下文:不是参数军备,而是应用落地

超算互联网方面特别提到,将依托核心节点上的万卡超集群系统,助力DeepSeek-V4百万上下文应用快速普及。这句话里藏着两个关键信息。

第一个是万卡超集群。万卡规模意味着什么?它不仅是算力数量的堆叠,更考验的是集群的互联效率、调度能力和稳定性。国产超算在硬件规模上早已不是短板,真正难的是把上万张卡调度得像一台机器一样高效。国家超算互联网的核心节点能够做到万卡级集群的稳定运行,说明底层算力基础设施已经进入了实用化阶段。

第二个是百万上下文。这是DeepSeek-V4相比前代模型最引人注目的特性之一。百万token的上下文窗口,意味着模型可以一次性处理整部长篇小说级别的文本,或者"记住"整个代码仓库的全部内容。这种能力在金融分析、法律文档审查、代码开发、科研论文理解等场景中价值极大。但百万上下文的推理对显存和计算效率要求极高,没有强大的算力支撑,这个能力只能停留在纸面上。

万卡超集群 + 百万上下文,本质上是一组"能力对"——模型提出了需求,基础设施恰好接得住。 这不是偶然的巧合,而是国产AI产业链度配合日益成熟的体现。

1300余款开源模型集结:一个生态的初具规模

除了DeepSeek-V4,公告中的另一个数据值得关注:截至3月下旬,国家超算互联网AI社区已经汇聚了1300余款开源模型,其中包含30余款DeepSeek系列模型。

1300多款模型,这是一个生态的起点,而不仅仅是某个平台的库存数字。

回顾过去的AI开源生态,最活跃的阵地主要在海外——HuggingFace几乎成了全球AI开发者心中的"GitHub"。国内虽然模型数量不少,但长期缺乏一个有足够影响力和公信力的集中平台。模型散布在各个厂商的官网、GitHub仓库、个人网盘链接中,检索困难、版本混乱、质量参差不齐。

国家超算互联网AI社区的定位正在改变这个局面。一方面,它背靠国家级算力设施,天然具备权威性和稳定性;另一方面,它不是一个"死仓库",而是模型与算力打通的计算生态。开发者在社区里不只是"下载模型",而是"在一个平台上完成从选模型到跑模型的全流程"。

当生态初具规模,就会产生网络效应:模型越多,开发者越多;开发者越多,贡献的模型和应用也越多。1300款只是一个开始,一旦这个飞轮转起来,体量的增长只会越来越快。

门槛降低意味着什么:让更多人有资格"上牌桌"

DeepSeek-V4上线超算互联网,受益最大的或许不是头部AI公司——它们本身就有自己的算力和部署体系。

真正被改变游戏规则的是那个更庞大的群体:高校的AI研究者、中小企业的技术团队、独立开发者、创业阶段的AI应用公司。

过去,一个想用DeepSeek-V4做垂直领域微调的中小企业,面临的账本是这样的:买几张A100或H800显卡,几十万到上百万的硬件投入;搭集群、配环境、做运维,还需要专门的工程团队。这笔账算下来,很多应用想法在论证阶段就被掐死了。

现在逻辑变了:超算互联网提供弹性算力,用多少付多少,不需要一次性重资产投入。模型已经在平台上,微调和推理可以直接在平台上完成。一个三五人的技术团队,就有可能把一个垂直AI应用从想法推进到上线测试。

这带来的不只是便利,更是产业机会的公平化。 当算力不再是进入AI领域的核心壁垒,竞争的焦点就会回归到应用创意、行业理解和服务质量上——而这些恰恰是中小企业最擅长的领域。

国产AI格局之变:从模型战争到基建整合

如果把DeepSeek-V4上线超算互联网这件事放在更大的图景中看,它反映的是国产AI产业竞争逻辑的深层变化。

过去两年的AI热潮中,国内厂商的竞争焦点主要集中在模型本身——谁家发布了更大参数的模型,谁家跑分更高,谁家首个突破了某个技术指标。这当然是必要的,但单靠模型层面的竞争,很难构建持久的护城河。模型会迭代,跑分会被超越,更强的新模型随时可能出现。

真正具有护城河价值的是基础设施。

当模型跑在最强的算力网络上,当模型和平台深度绑定、开箱即用,当海量的开发者和应用围绕一个生态运转——这种"模型+算力+平台"的一体化优势,远比发布一个新模型更难复制。

DeepSeek-V4选择国家超算互联网作为首发平台,是一个极具信号意义的动作。它表明国产AI的头部力量正在形成协同——最强模型与最强基础设施的联姻。而这种协同,最终指向的是中国AI产业的整体竞争力。

对于开发者来说,这是一个好消息;对于投资者来说,这是一个值得关注的趋势信号;对于整个国产AI产业来说,这或许是合纵连横的序章。

当模型、算力、平台三位一体之日,才是国产AI真正在全球舞台站稳脚跟之时。

而今天,这个进程已悄然加速。

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\n\n"}],"isError":false,"timestamp":1777032951989},{"role":"toolResult","toolCallId":"call_02_uOewH4eRV1dz80CYx7J4gbPE","toolName":"exec","content":[{"type":"text","text":"/root/.bun/bin/bun\n1.3.11\n/usr/bin/node\nv22.22.1\n/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts"}],"details":{"status":"completed","exitCode":0,"durationMs":25,"aggregated":"/root/.bun/bin/bun\n1.3.11\n/usr/bin/node\nv22.22.1\n/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1777032951989},{"role":"assistant","content":[{"type":"text","text":"Good, all files and tools are in place. Let me check the wechat-api.ts script to understand its interface and then run the first step."},{"type":"toolCall","id":"call_00_3A0ub4aO0OLbEBafAh7C41CC","name":"read","arguments":{"path":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":5389,"output":101,"cacheRead":12416,"cacheWrite":0,"totalTokens":17906,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777032951990,"responseId":"a0a5fac8-3bf5-4310-880f-46268171486a"},{"role":"toolResult","toolCallId":"call_00_3A0ub4aO0OLbEBafAh7C41CC","toolName":"read","content":[{"type":"text","text":"import fs from \"node:fs\";\nimport path from \"node:path\";\nimport { spawnSync } from \"node:child_process\";\nimport { fileURLToPath } from \"node:url\";\nimport { loadWechatExtendConfig, resolveAccount, loadCredentials } from \"./wechat-extend-config.ts\";\n\ninterface AccessTokenResponse {\n access_token?: string;\n errcode?: number;\n errmsg?: string;\n}\n\ninterface UploadResponse {\n media_id: string;\n url: string;\n errcode?: number;\n errmsg?: string;\n}\n\ninterface PublishResponse {\n media_id?: string;\n errcode?: number;\n errmsg?: string;\n}\n\ninterface ImageInfo {\n placeholder: string;\n localPath: string;\n originalPath: string;\n}\n\ninterface MarkdownRenderResult {\n title: string;\n author: string;\n summary: string;\n htmlPath: string;\n contentImages: ImageInfo[];\n}\n\ntype ArticleType = \"news\" | \"newspic\";\n\ninterface ArticleOptions {\n title: string;\n author?: string;\n digest?: string;\n content: string;\n thumbMediaId: string;\n articleType: ArticleType;\n imageMediaIds?: string[];\n needOpenComment?: number;\n onlyFansCanComment?: number;\n}\n\nconst TOKEN_URL = \"https://api.weixin.qq.com/cgi-bin/token\";\nconst UPLOAD_URL = \"https://api.weixin.qq.com/cgi-bin/material/add_material\";\nconst DRAFT_URL = \"https://api.weixin.qq.com/cgi-bin/draft/add\";\n\n\nasync function fetchAccessToken(appId: string, appSecret: string): Promise {\n const url = `${TOKEN_URL}?grant_type=client_credential&appid=${appId}&secret=${appSecret}`;\n const res = await fetch(url);\n if (!res.ok) {\n throw new Error(`Failed to fetch access token: ${res.status}`);\n }\n const data = await res.json() as AccessTokenResponse;\n if (data.errcode) {\n throw new Error(`Access token error ${data.errcode}: ${data.errmsg}`);\n }\n if (!data.access_token) {\n throw new Error(\"No access_token in response\");\n }\n return data.access_token;\n}\n\nasync function uploadImage(\n imagePath: string,\n accessToken: string,\n baseDir?: string\n): Promise {\n let fileBuffer: Buffer;\n let filename: string;\n let contentType: string;\n\n if (imagePath.startsWith(\"http://\") || imagePath.startsWith(\"https://\")) {\n const response = await fetch(imagePath);\n if (!response.ok) {\n throw new Error(`Failed to download image: ${imagePath}`);\n }\n const buffer = await response.arrayBuffer();\n if (buffer.byteLength === 0) {\n throw new Error(`Remote image is empty: ${imagePath}`);\n }\n fileBuffer = Buffer.from(buffer);\n const urlPath = imagePath.split(\"?\")[0];\n filename = path.basename(urlPath) || \"image.jpg\";\n contentType = response.headers.get(\"content-type\") || \"image/jpeg\";\n } else {\n const resolvedPath = path.isAbsolute(imagePath)\n ? imagePath\n : path.resolve(baseDir || process.cwd(), imagePath);\n\n if (!fs.existsSync(resolvedPath)) {\n throw new Error(`Image not found: ${resolvedPath}`);\n }\n const stats = fs.statSync(resolvedPath);\n if (stats.size === 0) {\n throw new Error(`Local image is empty: ${resolvedPath}`);\n }\n fileBuffer = fs.readFileSync(resolvedPath);\n filename = path.basename(resolvedPath);\n const ext = path.extname(filename).toLowerCase();\n const mimeTypes: Record = {\n \".jpg\": \"image/jpeg\",\n \".jpeg\": \"image/jpeg\",\n \".png\": \"image/png\",\n \".gif\": \"image/gif\",\n \".webp\": \"image/webp\",\n };\n contentType = mimeTypes[ext] || \"image/jpeg\";\n }\n\n const boundary = `----WebKitFormBoundary${Date.now().toString(16)}`;\n const header = [\n `--${boundary}`,\n `Content-Disposition: form-data; name=\"media\"; filename=\"${filename}\"`,\n `Content-Type: ${contentType}`,\n \"\",\n \"\",\n ].join(\"\\r\\n\");\n const footer = `\\r\\n--${boundary}--\\r\\n`;\n\n const headerBuffer = Buffer.from(header, \"utf-8\");\n const footerBuffer = Buffer.from(footer, \"utf-8\");\n const body = Buffer.concat([headerBuffer, fileBuffer, footerBuffer]);\n\n const url = `${UPLOAD_URL}?access_token=${accessToken}&type=image`;\n const res = await fetch(url, {\n method: \"POST\",\n headers: {\n \"Content-Type\": `multipart/form-data; boundary=${boundary}`,\n },\n body,\n });\n\n const data = await res.json() as UploadResponse;\n if (data.errcode && data.errcode !== 0) {\n throw new Error(`Upload failed ${data.errcode}: ${data.errmsg}`);\n }\n\n if (data.url?.startsWith(\"http://\")) {\n data.url = data.url.replace(/^http:\\/\\//i, \"https://\");\n }\n\n return data;\n}\n\nasync function uploadImagesInHtml(\n html: string,\n accessToken: string,\n baseDir: string,\n contentImages: ImageInfo[] = [],\n): Promise<{ html: string; firstMediaId: string; allMediaIds: string[] }> {\n const imgRegex = /]*\\ssrc=[\"']([^\"']+)[\"'][^>]*>/gi;\n const matches = [...html.matchAll(imgRegex)];\n\n if (matches.length === 0 && contentImages.length === 0) {\n return { html, firstMediaId: \"\", allMediaIds: [] };\n }\n\n let firstMediaId = \"\";\n let updatedHtml = html;\n const allMediaIds: string[] = [];\n const uploadedBySource = new Map();\n\n for (const match of matches) {\n const [fullTag, src] = match;\n if (!src) continue;\n\n if (src.startsWith(\"https://mmbiz.qpic.cn\")) {\n if (!firstMediaId) {\n firstMediaId = src;\n }\n continue;\n }\n\n const localPathMatch = fullTag.match(/data-local-path=[\"']([^\"']+)[\"']/);\n const imagePath = localPathMatch ? localPathMatch[1]! : src;\n\n console.error(`[wechat-api] Uploading image: ${imagePath}`);\n try {\n let resp = uploadedBySource.get(imagePath);\n if (!resp) {\n resp = await uploadImage(imagePath, accessToken, baseDir);\n uploadedBySource.set(imagePath, resp);\n }\n const newTag = fullTag\n .replace(/\\ssrc=[\"'][^\"']+[\"']/, ` src=\"${resp.url}\"`)\n .replace(/\\sdata-local-path=[\"'][^\"']+[\"']/, \"\");\n updatedHtml = updatedHtml.replace(fullTag, newTag);\n allMediaIds.push(resp.media_id);\n if (!firstMediaId) {\n firstMediaId = resp.media_id;\n }\n } catch (err) {\n console.error(`[wechat-api] Failed to upload ${imagePath}:`, err);\n }\n }\n\n for (const image of contentImages) {\n if (!updatedHtml.includes(image.placeholder)) continue;\n\n const imagePath = image.localPath || image.originalPath;\n console.error(`[wechat-api] Uploading placeholder image: ${imagePath}`);\n\n try {\n let resp = uploadedBySource.get(imagePath);\n if (!resp) {\n resp = await uploadImage(imagePath, accessToken, baseDir);\n uploadedBySource.set(imagePath, resp);\n }\n\n const replacementTag = ``;\n updatedHtml = replaceAllPlaceholders(updatedHtml, image.placeholder, replacementTag);\n allMediaIds.push(resp.media_id);\n if (!firstMediaId) {\n firstMediaId = resp.media_id;\n }\n } catch (err) {\n console.error(`[wechat-api] Failed to upload placeholder ${image.placeholder}:`, err);\n }\n }\n\n return { html: updatedHtml, firstMediaId, allMediaIds };\n}\n\nasync function publishToDraft(\n options: ArticleOptions,\n accessToken: string\n): Promise {\n const url = `${DRAFT_URL}?access_token=${accessToken}`;\n\n let article: Record;\n\n const noc = options.needOpenComment ?? 1;\n const ofcc = options.onlyFansCanComment ?? 0;\n\n if (options.articleType === \"newspic\") {\n if (!options.imageMediaIds || options.imageMediaIds.length === 0) {\n throw new Error(\"newspic requires at least one image\");\n }\n article = {\n article_type: \"newspic\",\n title: options.title,\n content: options.content,\n need_open_comment: noc,\n only_fans_can_comment: ofcc,\n image_info: {\n image_list: options.imageMediaIds.map(id => ({ image_media_id: id })),\n },\n };\n if (options.author) article.author = options.author;\n } else {\n article = {\n article_type: \"news\",\n title: options.title,\n content: options.content,\n thumb_media_id: options.thumbMediaId,\n need_open_comment: noc,\n only_fans_can_comment: ofcc,\n };\n if (options.author) article.author = options.author;\n if (options.digest) article.digest = options.digest;\n }\n\n const res = await fetch(url, {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({ articles: [article] }),\n });\n\n const data = await res.json() as PublishResponse;\n if (data.errcode && data.errcode !== 0) {\n throw new Error(`Publish failed ${data.errcode}: ${data.errmsg}`);\n }\n\n return data;\n}\n\nfunction parseFrontmatter(content: string): { frontmatter: Record; body: string } {\n const match = content.match(/^\\s*---\\r?\\n([\\s\\S]*?)\\r?\\n---\\r?\\n?([\\s\\S]*)$/);\n if (!match) return { frontmatter: {}, body: content };\n\n const frontmatter: Record = {};\n const lines = match[1]!.split(\"\\n\");\n for (const line of lines) {\n const colonIdx = line.indexOf(\":\");\n if (colonIdx > 0) {\n const key = line.slice(0, colonIdx).trim();\n let value = line.slice(colonIdx + 1).trim();\n if ((value.startsWith('\"') && value.endsWith('\"')) ||\n (value.startsWith(\"'\") && value.endsWith(\"'\"))) {\n value = value.slice(1, -1);\n }\n frontmatter[key] = value;\n }\n }\n\n return { frontmatter, body: match[2]! };\n}\n\nfunction renderMarkdownWithPlaceholders(\n markdownPath: string,\n theme: string = \"default\",\n color?: string,\n citeStatus: boolean = true,\n title?: string,\n): MarkdownRenderResult {\n const __filename = fileURLToPath(import.meta.url);\n const __dirname = path.dirname(__filename);\n const mdToWechatScript = path.join(__dirname, \"md-to-wechat.ts\");\n const baseDir = path.dirname(markdownPath);\n\n const args = [\"-y\", \"bun\", mdToWechatScript, markdownPath];\n if (title) args.push(\"--title\", title);\n if (theme) args.push(\"--theme\", theme);\n if (color) args.push(\"--color\", color);\n if (!citeStatus) args.push(\"--no-cite\");\n\n console.error(`[wechat-api] Rendering markdown with placeholders via md-to-wechat: ${theme}${color ? `, color: ${color}` : \"\"}, citeStatus: ${citeStatus}`);\n const result = spawnSync(\"npx\", args, {\n stdio: [\"inherit\", \"pipe\", \"pipe\"],\n cwd: baseDir,\n });\n\n if (result.status !== 0) {\n const stderr = result.stderr?.toString() || \"\";\n throw new Error(`Markdown placeholder render failed: ${stderr}`);\n }\n\n const stdout = result.stdout?.toString() || \"\";\n return JSON.parse(stdout) as MarkdownRenderResult;\n}\n\nfunction replaceAllPlaceholders(html: string, placeholder: string, replacement: string): string {\n const escapedPlaceholder = placeholder.replace(/[.*+?^${}()|[\\]\\\\]/g, \"\\\\$&\");\n return html.replace(new RegExp(escapedPlaceholder, \"g\"), replacement);\n}\n\nfunction extractHtmlContent(htmlPath: string): string {\n const html = fs.readFileSync(htmlPath, \"utf-8\");\n const match = html.match(/
([\\s\\S]*?)<\\/div>\\s*<\\/body>/);\n if (match) {\n return match[1]!.trim();\n }\n const bodyMatch = html.match(/]*>([\\s\\S]*?)<\\/body>/i);\n return bodyMatch ? bodyMatch[1]!.trim() : html;\n}\n\nfunction printUsage(): never {\n console.log(`Publish article to WeChat Official Account draft using API\n\nUsage:\n npx -y bun wechat-api.ts [options]\n\nArguments:\n file Markdown (.md) or HTML (.html) file\n\nOptions:\n --type Article type: news (文章, default) or newspic (图文)\n --title Override title\n --author <name> Author name (max 16 chars)\n --summary <text> Article summary/digest (max 128 chars)\n --theme <name> Theme name for markdown (default, grace, simple, modern). Default: default\n --color <name|hex> Primary color (blue, green, vermilion, etc. or hex)\n --cover <path> Cover image path (local or URL)\n --account <alias> Select account by alias (for multi-account setups)\n --no-cite Disable bottom citations for ordinary external links in markdown mode\n --dry-run Parse and render only, don't publish\n --help Show this help\n\nFrontmatter Fields (markdown):\n title Article title\n author Author name\n digest/summary Article summary\n coverImage/featureImage/cover/image Cover image path\n\nComments:\n Comments are enabled by default, open to all users.\n\nEnvironment Variables:\n WECHAT_APP_ID WeChat App ID\n WECHAT_APP_SECRET WeChat App Secret\n\nConfig File Locations (in priority order):\n 1. Environment variables\n 2. <cwd>/.baoyu-skills/.env\n 3. ~/.baoyu-skills/.env\n\nExample:\n npx -y bun wechat-api.ts article.md\n npx -y bun wechat-api.ts article.md --theme grace --cover cover.png\n npx -y bun wechat-api.ts article.md --author \"Author Name\" --summary \"Brief intro\"\n npx -y bun wechat-api.ts article.html --title \"My Article\"\n npx -y bun wechat-api.ts images/ --type newspic --title \"Photo Album\"\n npx -y bun wechat-api.ts article.md --dry-run\n npx -y bun wechat-api.ts article.md --no-cite\n`);\n process.exit(0);\n}\n\ninterface CliArgs {\n filePath: string;\n isHtml: boolean;\n articleType: ArticleType;\n title?: string;\n author?: string;\n summary?: string;\n theme: string;\n color?: string;\n cover?: string;\n account?: string;\n citeStatus: boolean;\n dryRun: boolean;\n}\n\nfunction parseArgs(argv: string[]): CliArgs {\n if (argv.length === 0 || argv.includes(\"--help\") || argv.includes(\"-h\")) {\n printUsage();\n }\n\n const args: CliArgs = {\n filePath: \"\",\n isHtml: false,\n articleType: \"news\",\n theme: \"default\",\n citeStatus: true,\n dryRun: false,\n };\n\n for (let i = 0; i < argv.length; i++) {\n const arg = argv[i]!;\n if (arg === \"--type\" && argv[i + 1]) {\n const t = argv[++i]!.toLowerCase();\n if (t === \"news\" || t === \"newspic\") {\n args.articleType = t;\n }\n } else if (arg === \"--title\" && argv[i + 1]) {\n args.title = argv[++i];\n } else if (arg === \"--author\" && argv[i + 1]) {\n args.author = argv[++i];\n } else if (arg === \"--summary\" && argv[i + 1]) {\n args.summary = argv[++i];\n } else if (arg === \"--theme\" && argv[i + 1]) {\n args.theme = argv[++i]!;\n } else if (arg === \"--color\" && argv[i + 1]) {\n args.color = argv[++i];\n } else if (arg === \"--cover\" && argv[i + 1]) {\n args.cover = argv[++i];\n } else if (arg === \"--account\" && argv[i + 1]) {\n args.account = argv[++i];\n } else if (arg === \"--cite\") {\n args.citeStatus = true;\n } else if (arg === \"--no-cite\") {\n args.citeStatus = false;\n } else if (arg === \"--dry-run\") {\n args.dryRun = true;\n } else if (arg.startsWith(\"--\") && argv[i + 1] && !argv[i + 1]!.startsWith(\"-\")) {\n i++;\n } else if (!arg.startsWith(\"-\")) {\n args.filePath = arg;\n }\n }\n\n if (!args.filePath) {\n console.error(\"Error: File path required\");\n process.exit(1);\n }\n\n args.isHtml = args.filePath.toLowerCase().endsWith(\".html\");\n\n return args;\n}\n\nfunction extractHtmlTitle(html: string): string {\n const titleMatch = html.match(/<title>([^<]+)<\\/title>/i);\n if (titleMatch) return titleMatch[1]!;\n const h1Match = html.match(/<h1[^>]*>([^<]+)<\\/h1>/i);\n if (h1Match) return h1Match[1]!.replace(/<[^>]+>/g, \"\").trim();\n return \"\";\n}\n\nasync function main(): Promise<void> {\n const args = parseArgs(process.argv.slice(2));\n\n const filePath = path.resolve(args.filePath);\n if (!fs.existsSync(filePath)) {\n console.error(`Error: File not found: ${filePath}`);\n process.exit(1);\n }\n\n const baseDir = path.dirname(filePath);\n let title = args.title || \"\";\n let author = args.author || \"\";\n let digest = args.summary || \"\";\n let htmlPath: string;\n let htmlContent: string;\n let frontmatter: Record<string, string> = {};\n let contentImages: ImageInfo[] = [];\n\n if (args.isHtml) {\n htmlPath = filePath;\n htmlContent = extractHtmlContent(htmlPath);\n const mdPath = filePath.replace(/\\.html$/i, \".md\");\n if (fs.existsSync(mdPath)) {\n const mdContent = fs.readFileSync(mdPath, \"utf-8\");\n const parsed = parseFrontmatter(mdContent);\n frontmatter = parsed.frontmatter;\n if (!title && frontmatter.title) title = frontmatter.title;\n if (!author) author = frontmatter.author || \"\";\n if (!digest) digest = frontmatter.digest || frontmatter.summary || frontmatter.description || \"\";\n }\n if (!title) {\n title = extractHtmlTitle(fs.readFileSync(htmlPath, \"utf-8\"));\n }\n console.error(`[wechat-api] Using HTML file: ${htmlPath}`);\n } else {\n const content = fs.readFileSync(filePath, \"utf-8\");\n const parsed = parseFrontmatter(content);\n frontmatter = parsed.frontmatter;\n const body = parsed.body;\n\n title = title || frontmatter.title || \"\";\n if (!title) {\n const h1Match = body.match(/^#\\s+(.+)$/m);\n if (h1Match) title = h1Match[1]!;\n }\n if (!author) author = frontmatter.author || \"\";\n if (!digest) digest = frontmatter.digest || frontmatter.summary || frontmatter.description || \"\";\n\n console.error(`[wechat-api] Theme: ${args.theme}${args.color ? `, color: ${args.color}` : \"\"}, citeStatus: ${args.citeStatus}`);\n const rendered = renderMarkdownWithPlaceholders(filePath, args.theme, args.color, args.citeStatus, args.title);\n htmlPath = rendered.htmlPath;\n contentImages = rendered.contentImages;\n if (!title) title = rendered.title;\n if (!author) author = rendered.author;\n if (!digest) digest = rendered.summary;\n console.error(`[wechat-api] HTML generated: ${htmlPath}`);\n console.error(`[wechat-api] Placeholder images: ${contentImages.length}`);\n htmlContent = extractHtmlContent(htmlPath);\n }\n\n if (!title) {\n console.error(\"Error: No title found. Provide via --title, frontmatter, or <title> tag.\");\n process.exit(1);\n }\n\n if (digest && digest.length > 120) {\n const truncated = digest.slice(0, 117);\n const lastPunct = Math.max(truncated.lastIndexOf(\"。\"), truncated.lastIndexOf(\",\"), truncated.lastIndexOf(\";\"), truncated.lastIndexOf(\"、\"));\n digest = lastPunct > 80 ? truncated.slice(0, lastPunct + 1) : truncated + \"...\";\n console.error(`[wechat-api] Digest truncated to ${digest.length} chars`);\n }\n\n console.error(`[wechat-api] Title: ${title}`);\n if (author) console.error(`[wechat-api] Author: ${author}`);\n if (digest) console.error(`[wechat-api] Digest: ${digest.slice(0, 50)}...`);\n console.error(`[wechat-api] Type: ${args.articleType}`);\n\n const extConfig = loadWechatExtendConfig();\n const resolved = resolveAccount(extConfig, args.account);\n if (resolved.name) console.error(`[wechat-api] Account: ${resolved.name} (${resolved.alias})`);\n\n if (!author && resolved.default_author) author = resolved.default_author;\n\n if (args.dryRun) {\n console.log(JSON.stringify({\n articleType: args.articleType,\n title,\n author: author || undefined,\n digest: digest || undefined,\n htmlPath,\n contentLength: htmlContent.length,\n placeholderImageCount: contentImages.length || undefined,\n account: resolved.alias || undefined,\n }, null, 2));\n return;\n }\n\n const creds = loadCredentials(resolved);\n console.error(\"[wechat-api] Fetching access token...\");\n const accessToken = await fetchAccessToken(creds.appId, creds.appSecret);\n\n console.error(\"[wechat-api] Uploading images...\");\n const { html: processedHtml, firstMediaId, allMediaIds } = await uploadImagesInHtml(\n htmlContent,\n accessToken,\n baseDir,\n contentImages,\n );\n htmlContent = processedHtml;\n\n let thumbMediaId = \"\";\n const rawCoverPath = args.cover ||\n frontmatter.coverImage ||\n frontmatter.featureImage ||\n frontmatter.cover ||\n frontmatter.image;\n const coverPath = rawCoverPath && !path.isAbsolute(rawCoverPath) && args.cover\n ? path.resolve(process.cwd(), rawCoverPath)\n : rawCoverPath;\n\n if (coverPath) {\n console.error(`[wechat-api] Uploading cover: ${coverPath}`);\n const coverResp = await uploadImage(coverPath, accessToken, baseDir);\n thumbMediaId = coverResp.media_id;\n } else if (firstMediaId) {\n if (firstMediaId.startsWith(\"https://\")) {\n console.error(`[wechat-api] Uploading first image as cover: ${firstMediaId}`);\n const coverResp = await uploadImage(firstMediaId, accessToken, baseDir);\n thumbMediaId = coverResp.media_id;\n } else {\n thumbMediaId = firstMediaId;\n }\n }\n\n if (args.articleType === \"news\" && !thumbMediaId) {\n console.error(\"Error: No cover image. Provide via --cover, frontmatter.coverImage, or include an image in content.\");\n process.exit(1);\n }\n\n if (args.articleType === \"newspic\" && allMediaIds.length === 0) {\n console.error(\"Error: newspic requires at least one image in content.\");\n process.exit(1);\n }\n\n console.error(\"[wechat-api] Publishing to draft...\");\n const result = await publishToDraft({\n title,\n author: author || undefined,\n digest: digest || undefined,\n content: htmlContent,\n thumbMediaId,\n articleType: args.articleType,\n imageMediaIds: args.articleType === \"newspic\" ? allMediaIds : undefined,\n needOpenComment: resolved.need_open_comment,\n onlyFansCanComment: resolved.only_fans_can_comment,\n }, accessToken);\n\n console.log(JSON.stringify({\n success: true,\n media_id: result.media_id,\n title,\n articleType: args.articleType,\n }, null, 2));\n\n console.error(`[wechat-api] Published successfully! media_id: ${result.media_id}`);\n}\n\nawait main().catch((err) => {\n console.error(`Error: ${err instanceof Error ? err.message : String(err)}`);\n process.exit(1);\n});\n"}],"isError":false,"timestamp":1777032953740},{"role":"assistant","content":[{"type":"text","text":"I see - the script requires a cover image for `news` type articles. Let me first try the publish, and if it fails on cover, I'll download one from picsum.photos.\n\nLet me start Step 1 - publish to WeChat official account:"},{"type":"toolCall","id":"call_00_rzyUEfVpERx2XOPCTgQrinmO","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/发布大师/workspace && WECHAT_APP_ID=<redacted> WECHAT_APP_SECRET=<redacted> bun /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts /root/.openclaw/agents/文章大师/workspace/DeepSeek-V4超算互联网-2026-04-24-v1.md --theme default --color blue --author \"ai张三疯\" 2>&1","timeout":60}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":6084,"output":251,"cacheRead":17792,"cacheWrite":0,"totalTokens":24127,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777032953741,"responseId":"c9d3bb82-fde0-42dd-930a-64438003b13e"},{"role":"toolResult","toolCallId":"call_00_rzyUEfVpERx2XOPCTgQrinmO","toolName":"exec","content":[{"type":"text","text":"[wechat-api] Theme: default, color: blue, citeStatus: true\n[wechat-api] Rendering markdown with placeholders via md-to-wechat: default, color: blue, citeStatus: true\n[wechat-api] HTML generated: /tmp/wechat-article-images-4KDHE7/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 金十数据4月24日消息,DeepSeek-V4预览版正式上线国家超算互联网AI社区。这则看似常规的模...\n[wechat-api] Type: news\n[wechat-api] Account: 创业张三疯 (chuangyezhangsanfeng)\n[wechat-api] Fetching access token...\n[wechat-api] Uploading images...\nError: No cover image. Provide via --cover, frontmatter.coverImage, or include an image in content.\n\n(Command exited with code 1)"}],"details":{"status":"completed","exitCode":1,"durationMs":3067,"aggregated":"[wechat-api] Theme: default, color: blue, citeStatus: true\n[wechat-api] Rendering markdown with placeholders via md-to-wechat: default, color: blue, citeStatus: true\n[wechat-api] HTML generated: /tmp/wechat-article-images-4KDHE7/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 金十数据4月24日消息,DeepSeek-V4预览版正式上线国家超算互联网AI社区。这则看似常规的模...\n[wechat-api] Type: news\n[wechat-api] Account: 创业张三疯 (chuangyezhangsanfeng)\n[wechat-api] Fetching access token...\n[wechat-api] Uploading images...\nError: No cover image. Provide via --cover, frontmatter.coverImage, or include an image in content.\n\n(Command exited with code 1)","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1777032960548},{"role":"assistant","content":[{"type":"text","text":"As expected, it needs a cover image. Let me download one from picsum.photos and retry:"},{"type":"toolCall","id":"call_00_OA7Ln3beLR0ejEfmMfbQui3z","name":"exec","arguments":{"command":"curl -s -L \"https://picsum.photos/900/500\" -o /root/.openclaw/agents/发布大师/workspace/cover-deepseek.jpg && file /root/.openclaw/agents/发布大师/workspace/cover-deepseek.jpg","timeout":30}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":315,"output":141,"cacheRead":24064,"cacheWrite":0,"totalTokens":24520,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777032960549,"responseId":"d21fd775-4f5a-4309-8a99-36e8620226de"},{"role":"toolResult","toolCallId":"call_00_OA7Ln3beLR0ejEfmMfbQui3z","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/agents/发布大师/workspace/cover-deepseek.jpg: JPEG image data, Exif standard: [TIFF image data, little-endian, direntries=6, orientation=upper-left, xresolution=86, yresolution=94, resolutionunit=2], progressive, precision 8, 900x500, components 3"}],"details":{"status":"completed","exitCode":0,"durationMs":2304,"aggregated":"/root/.openclaw/agents/发布大师/workspace/cover-deepseek.jpg: JPEG image data, Exif standard: [TIFF image data, little-endian, direntries=6, orientation=upper-left, xresolution=86, yresolution=94, resolutionunit=2], progressive, precision 8, 900x500, components 3","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1777032965220},{"role":"assistant","content":[{"type":"text","text":"Got the cover image. Now retry with --cover:"},{"type":"toolCall","id":"call_00_TF1tub9ZFdZ8AzuYdYR7PJ11","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/发布大师/workspace && WECHAT_APP_ID=<redacted> WECHAT_APP_SECRET=<redacted> bun /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts /root/.openclaw/agents/文章大师/workspace/DeepSeek-V4超算互联网-2026-04-24-v1.md --theme default --color blue --author \"ai张三疯\" --cover /root/.openclaw/agents/发布大师/workspace/cover-deepseek.jpg 2>&1","timeout":60}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":162,"output":231,"cacheRead":24448,"cacheWrite":0,"totalTokens":24841,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777032965221,"responseId":"19ac3246-ab84-4285-a99a-993f9d670171"},{"role":"toolResult","toolCallId":"call_00_TF1tub9ZFdZ8AzuYdYR7PJ11","toolName":"exec","content":[{"type":"text","text":"[wechat-api] Theme: default, color: blue, citeStatus: true\n[wechat-api] Rendering markdown with placeholders via md-to-wechat: default, color: blue, citeStatus: true\n[wechat-api] HTML generated: /tmp/wechat-article-images-GJ9M5x/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 金十数据4月24日消息,DeepSeek-V4预览版正式上线国家超算互联网AI社区。这则看似常规的模...\n[wechat-api] Type: news\n[wechat-api] Account: 创业张三疯 (chuangyezhangsanfeng)\n[wechat-api] Fetching access token...\n[wechat-api] Uploading images...\n[wechat-api] Uploading cover: /root/.openclaw/agents/发布大师/workspace/cover-deepseek.jpg\n[wechat-api] Publishing to draft...\n{\n \"success\": true,\n \"media_id\": \"imBwNhfy9Uv4ps2luE5gfn6sDLXJ3jZGuJ_a-82tkgxP0p3XXJaxMdvzHLK39tv5\",\n \"title\": \"DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻\",\n \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gfn6sDLXJ3jZGuJ_a-82tkgxP0p3XXJaxMdvzHLK39tv5"}],"details":{"status":"completed","exitCode":0,"durationMs":6722,"aggregated":"[wechat-api] Theme: default, color: blue, citeStatus: true\n[wechat-api] Rendering markdown with placeholders via md-to-wechat: default, color: blue, citeStatus: true\n[wechat-api] HTML generated: /tmp/wechat-article-images-GJ9M5x/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 金十数据4月24日消息,DeepSeek-V4预览版正式上线国家超算互联网AI社区。这则看似常规的模...\n[wechat-api] Type: news\n[wechat-api] Account: 创业张三疯 (chuangyezhangsanfeng)\n[wechat-api] Fetching access token...\n[wechat-api] Uploading images...\n[wechat-api] Uploading cover: /root/.openclaw/agents/发布大师/workspace/cover-deepseek.jpg\n[wechat-api] Publishing to draft...\n{\n \"success\": true,\n \"media_id\": \"imBwNhfy9Uv4ps2luE5gfn6sDLXJ3jZGuJ_a-82tkgxP0p3XXJaxMdvzHLK39tv5\",\n \"title\": \"DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻\",\n \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gfn6sDLXJ3jZGuJ_a-82tkgxP0p3XXJaxMdvzHLK39tv5","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1777032975457},{"role":"assistant","content":[{"type":"text","text":"✅ **公众号发布成功!** media_id: `imBwNhfy9Uv4ps2luE5gfn6sDLXJ3jZGuJ_a-82tkgxP0p3XXJaxMdvzHLK39tv5`\n\nNow Step 2 - Create the Z-Blog XML-RPC publishing script."},{"type":"toolCall","id":"call_00_eiLN37TZeT2FM00E0mQKMKGO","name":"write","arguments":{"path":"/root/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4超算.js","content":"const xmlrpc = require('xmlrpc');\n\n// Configuration\nconst ENDPOINT = 'https://weixinsiwei.com/zb_system/xml-rpc/index.php';\nconst USERNAME = 'admin';\nconst PASSWORD = '135269zxj';\nconst BLOG_ID = '68ba1ff10060dd54f1e399b8e332bdba';\n\n// Read the HTML content\nconst fs = require('fs');\nconst path = require('path');\nconst htmlPath = path.resolve(__dirname, 'DeepSeek-V4超算互联网-2026-04-24.html');\nconst htmlContent = fs.readFileSync(htmlPath, 'utf-8');\n\n// Extract body content\nconst bodyMatch = htmlContent.match(/<body[^>]*>([\\s\\S]*?)<\\/body>/i);\nconst bodyHtml = bodyMatch ? bodyMatch[1].trim() : htmlContent;\n\n// Full article HTML\nconst fullHtml = `<!DOCTYPE html>\n<html>\n<head>\n<meta charset=\"utf-8\">\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">\n<title>DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻\n\n\n\n${bodyHtml}\n\n`;\n\n// Create XML-RPC client\nconst client = xmlrpc.createClient({\n url: ENDOINT,\n headers: {\n 'User-Agent': 'Mozilla/5.0 (compatible; BlogPublish/1.0)'\n }\n});\n\n// First, get categories to find the correct IDs\nclient.methodCall('metaWeblog.getCategories', [BLOG_ID, USERNAME, PASSWORD], (err, categories) => {\n if (err) {\n console.error('Error getting categories:', err);\n return;\n }\n \n console.log('Categories found:', categories.length);\n categories.forEach(c => console.log(` - ${c.categoryName} (ID: ${c.categoryId})`));\n \n // Find AI人工智能 and 大模型 category IDs\n let aiCatId = null;\n let daModelCatId = null;\n \n // Try to find by name, looking for both exact and partial matches\n for (const cat of categories) {\n const name = (cat.categoryName || '').toLowerCase();\n const desc = (cat.description || '').toLowerCase();\n if (name.includes('ai') || name.includes('人工智能') || desc.includes('ai') || desc.includes('人工智能')) {\n aiCatId = cat.categoryId;\n }\n if (name.includes('大模型') || desc.includes('大模型')) {\n daModelCatId = cat.categoryId;\n }\n }\n \n // If we didn't find by name, try parent-child relationships\n if (!aiCatId && !daModelCatId) {\n // Maybe it's a single category with combined name\n for (const cat of categories) {\n const name = cat.categoryName || '';\n if (name.includes('AI') || name.includes('人工智能')) {\n aiCatId = cat.categoryId;\n }\n if (name.includes('大模型')) {\n daModelCatId = cat.categoryId;\n }\n }\n }\n \n // Fallback: use first category or AI-related\n if (!aiCatId && categories.length > 0) {\n aiCatId = categories[0].categoryId;\n console.log(`Falling back to first category: ${categories[0].categoryName} (${aiCatId})`);\n }\n \n const categoryIds = [];\n if (aiCatId) categoryIds.push(aiCatId);\n if (daModelCatId && daModelCatId !== aiCatId) categoryIds.push(daModelCatId);\n \n console.log(`Using category IDs: ${categoryIds.join(', ')}`);\n \n // Categories as strings (some systems use names)\n let catNames = null;\n try {\n // Try parent-child structure \n const parentCats = categories.filter(c => !c.parentId || c.parentId === '0');\n console.log('Parent categories:');\n parentCats.forEach(c => console.log(` - ${c.categoryName} (${c.categoryId})`));\n \n // Check sub-categories\n for (const parent of parentCats) {\n const subCats = categories.filter(c => c.parentId === parent.categoryId);\n if (subCats.length > 0) {\n console.log(` Sub-categories of \"${parent.categoryName}\":`);\n subCats.forEach(c => console.log(` - ${c.categoryName} (${c.categoryId})`));\n }\n }\n } catch(e) {}\n \n // Build the post data - try multiple category formats\n const postData = {\n title: 'DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻',\n description: fullHtml,\n mt_excerpt: '金十数据4月24日消息,DeepSeek-V4预览版正式上线国家超算互联网AI社区。当国产最强的开源大模型之一,遇上承载国家算力战略的超算互联网平台,二者联手的背后是国产AI从单点突破走向系统整合的新阶段。',\n mt_keywords: 'DeepSeek-V4, 国家超算互联网, AI基础设施, 万卡集群, 百万上下文',\n categories: categoryIds.length > 0 ? categoryIds : ['AI人工智能'],\n wp_slug: 'deepseek-v4-national-supercomputing',\n mt_allow_comments: 1,\n mt_allow_pings: 1,\n post_status: 'publish',\n dateCreated: new Date('2026-04-24T20:15:00+08:00')\n };\n \n console.log('Publishing post with data:', JSON.stringify({\n title: postData.title,\n mt_keywords: postData.mt_keywords,\n categories: postData.categories\n }));\n \n // Try with hw support first (used by Z-Blog)\n // First try: standard metaWeblog.newPost\n client.methodCall('metaWeblog.newPost', [BLOG_ID, USERNAME, PASSWORD, postData, true], (err, data) => {\n if (err) {\n console.error('metaWeblog.newPost failed:', err.message);\n console.log('Trying blogger.newPost...');\n \n // Second try: blogger.newPost\n client.methodCall('blogger.newPost', [BLOG_ID, USERNAME, PASSWORD, postData.title, fullHtml, true], (err2, data2) => {\n if (err2) {\n console.error('blogger.newPost also failed:', err2.message);\n console.log('Trying mt.publishPost...');\n \n // Third try: Z-Blog specific\n client.methodCall('metaWeblog.newPost', [BLOG_ID, USERNAME, PASSWORD, {\n title: postData.title,\n description: fullHtml,\n mt_keywords: postData.mt_keywords\n }, true], (err3, data3) => {\n if (err3) {\n console.error('All attempts failed.');\n console.error('Last error:', err3.message);\n process.exit(1);\n }\n console.log('SUCCESS! Post ID:', data3);\n console.log('Article URL: https://weixinsiwei.com/post/' + data3);\n process.exit(0);\n });\n } else {\n console.log('SUCCESS! Post ID:', data2);\n console.log('Article URL: https://weixinsiwei.com/post/' + data2);\n process.exit(0);\n }\n });\n } else {\n console.log('SUCCESS! Post ID:', data);\n console.log('Article URL: https://weixinsiwei.com/post/' + data);\n process.exit(0);\n }\n });\n});\n"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":420,"output":1912,"cacheRead":24832,"cacheWrite":0,"totalTokens":27164,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777032975458,"responseId":"d4a4d99e-22b9-43ef-acea-0cce566bb5f1"},{"role":"toolResult","toolCallId":"call_00_eiLN37TZeT2FM00E0mQKMKGO","toolName":"write","content":[{"type":"text","text":"Successfully wrote 6072 bytes to /root/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4超算.js"}],"isError":false,"timestamp":1777033000191},{"role":"assistant","content":[{"type":"text","text":"Let me check if xmlrpc is available and install if needed:"},{"type":"toolCall","id":"call_00_A9TVaLOZsfcbLB8udhTa6Wza","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/发布大师/workspace && npm ls xmlrpc 2>&1 || npm install xmlrpc 2>&1","timeout":30}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":73,"output":106,"cacheRead":27136,"cacheWrite":0,"totalTokens":27315,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777033000191,"responseId":"dcb73d4b-f1e5-4ab4-b25b-55fc84ec4464"},{"role":"toolResult","toolCallId":"call_00_A9TVaLOZsfcbLB8udhTa6Wza","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/agents/发布大师/workspace\n└── (empty)\n\n\nadded 3 packages in 4s"}],"details":{"status":"completed","exitCode":0,"durationMs":4181,"aggregated":"/root/.openclaw/agents/发布大师/workspace\n└── (empty)\n\n\nadded 3 packages in 4s","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1777033006473},{"role":"assistant","content":[{"type":"toolCall","id":"call_00_85a0YtOd1QMwBIJRR8pt9WL4","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/发布大师/workspace && node publish-DeepSeekV4超算.js 2>&1","timeout":30}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":91,"output":89,"cacheRead":27264,"cacheWrite":0,"totalTokens":27444,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777033006473,"responseId":"2cc5f25a-a701-45aa-adc9-ba6e7cba77e4"},{"role":"toolResult","toolCallId":"call_00_85a0YtOd1QMwBIJRR8pt9WL4","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4超算.js:35\n url: ENDOINT,\n ^\n\nReferenceError: ENDOINT is not defined\n at Object. (/root/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4超算.js:35:8)\n at Module._compile (node:internal/modules/cjs/loader:1705:14)\n at Object..js (node:internal/modules/cjs/loader:1838:10)\n at Module.load (node:internal/modules/cjs/loader:1441:32)\n at Function._load (node:internal/modules/cjs/loader:1263:12)\n at TracingChannel.traceSync (node:diagnostics_channel:328:14)\n at wrapModuleLoad (node:internal/modules/cjs/loader:237:24)\n at Function.executeUserEntryPoint [as runMain] (node:internal/modules/run_main:171:5)\n at node:internal/main/run_main_module:36:49\n\nNode.js v22.22.1\n\n(Command exited with code 1)"}],"details":{"status":"completed","exitCode":1,"durationMs":67,"aggregated":"/root/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4超算.js:35\n url: ENDOINT,\n ^\n\nReferenceError: ENDOINT is not defined\n at Object. (/root/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4超算.js:35:8)\n at Module._compile (node:internal/modules/cjs/loader:1705:14)\n at Object..js (node:internal/modules/cjs/loader:1838:10)\n at Module.load (node:internal/modules/cjs/loader:1441:32)\n at Function._load (node:internal/modules/cjs/loader:1263:12)\n at TracingChannel.traceSync (node:diagnostics_channel:328:14)\n at wrapModuleLoad (node:internal/modules/cjs/loader:237:24)\n at Function.executeUserEntryPoint [as runMain] (node:internal/modules/run_main:171:5)\n at node:internal/main/run_main_module:36:49\n\nNode.js v22.22.1\n\n(Command exited with code 1)","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1777033008211},{"role":"assistant","content":[{"type":"text","text":"Typo - ENDOINT should be ENDPOINT. Let me fix the script:"},{"type":"toolCall","id":"call_00_qggCwIE4dez0WrMQn5ScBchQ","name":"edit","arguments":{"path":"/root/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4超算.js","edits":[{"oldText":" url: ENDOINT,","newText":" url: ENDPOINT,"}]}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":326,"output":126,"cacheRead":27392,"cacheWrite":0,"totalTokens":27844,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777033008212,"responseId":"16c8d914-7b06-4d9b-bb3f-d8b2451a505e"},{"role":"toolResult","toolCallId":"call_00_qggCwIE4dez0WrMQn5ScBchQ","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 1 block(s) in /root/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4超算.js."}],"details":{"diff":" ...\n 31 `;\n 32 \n 33 // Create XML-RPC client\n 34 const client = xmlrpc.createClient({\n- 35 url: ENDOINT,\n+ 35 url: ENDPOINT,\n 36 headers: {\n 37 'User-Agent': 'Mozilla/5.0 (compatible; BlogPublish/1.0)'\n 38 }\n 39 });\n ...","firstChangedLine":35},"isError":false,"timestamp":1777033011080},{"role":"assistant","content":[{"type":"toolCall","id":"call_00_s97lUtdwFFs5Bm1nXkIKKxZp","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/发布大师/workspace && node publish-DeepSeekV4超算.js 2>&1","timeout":30}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":111,"output":89,"cacheRead":27776,"cacheWrite":0,"totalTokens":27976,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777033011081,"responseId":"2e60616f-e205-4820-a54f-5a5356c9f3ed"},{"role":"toolResult","toolCallId":"call_00_s97lUtdwFFs5Bm1nXkIKKxZp","toolName":"exec","content":[{"type":"text","text":"Categories found: 11\n - 视频号 (ID: 1)\n - 企业微信 (ID: 3)\n - 私域流量 (ID: 4)\n - 微信小店 (ID: 5)\n - 企微SOP (ID: 6)\n - 企业邮箱 (ID: 7)\n - 腾讯电子签 (ID: 8)\n - 腾讯会议 (ID: 9)\n - 企业服务 (ID: 10)\n - 数据资产入表 (ID: 11)\n - 私车公用 (ID: 12)\nFalling back to first category: 视频号 (1)\nUsing category IDs: 1\nParent categories:\n - 视频号 (1)\n - 企业微信 (3)\n - 私域流量 (4)\n - 微信小店 (5)\n - 企微SOP (6)\n - 企业邮箱 (7)\n - 腾讯电子签 (8)\n - 腾讯会议 (9)\n - 企业服务 (10)\n - 数据资产入表 (11)\n - 私车公用 (12)\nPublishing post with data: {\"title\":\"DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻\",\"mt_keywords\":\"DeepSeek-V4, 国家超算互联网, AI基础设施, 万卡集群, 百万上下文\",\"categories\":[\"1\"]}\nSUCCESS! Post ID: true\nArticle URL: https://weixinsiwei.com/post/true"}],"details":{"status":"completed","exitCode":0,"durationMs":6438,"aggregated":"Categories found: 11\n - 视频号 (ID: 1)\n - 企业微信 (ID: 3)\n - 私域流量 (ID: 4)\n - 微信小店 (ID: 5)\n - 企微SOP (ID: 6)\n - 企业邮箱 (ID: 7)\n - 腾讯电子签 (ID: 8)\n - 腾讯会议 (ID: 9)\n - 企业服务 (ID: 10)\n - 数据资产入表 (ID: 11)\n - 私车公用 (ID: 12)\nFalling back to first category: 视频号 (1)\nUsing category IDs: 1\nParent categories:\n - 视频号 (1)\n - 企业微信 (3)\n - 私域流量 (4)\n - 微信小店 (5)\n - 企微SOP (6)\n - 企业邮箱 (7)\n - 腾讯电子签 (8)\n - 腾讯会议 (9)\n - 企业服务 (10)\n - 数据资产入表 (11)\n - 私车公用 (12)\nPublishing post with data: {\"title\":\"DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻\",\"mt_keywords\":\"DeepSeek-V4, 国家超算互联网, AI基础设施, 万卡集群, 百万上下文\",\"categories\":[\"1\"]}\nSUCCESS! Post ID: true\nArticle URL: https://weixinsiwei.com/post/true","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1777033019227},{"role":"assistant","content":[{"type":"text","text":"The post returned `true` instead of a numeric ID. The categories on the site don't have AI人工智能 / 大模型. Let me check - the site doesn't have those categories. Let me check if WordPress style returns a different format and fix the script to properly handle the response. Let me use Z-Blog's specific XML-RPC API more properly."},{"type":"toolCall","id":"call_00_V0TAofEUB5eKMztVAglfpsP3","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/发布大师/workspace && cat > test-zblog.js << 'SCRIPT'\nconst xmlrpc = require('xmlrpc');\n\nconst ENDPOINT = 'https://weixinsiwei.com/zb_system/xml-rpc/index.php';\nconst USERNAME = 'admin';\nconst PASSWORD = '135269zxj';\nconst BLOG_ID = '68ba1ff10060dd54f1e399b8e332bdba';\n\nconst client = xmlrpc.createClient({ url: ENDPOINT });\n\n// Test: get recent posts to see the response format\nclient.methodCall('metaWeblog.getRecentPosts', [BLOG_ID, USERNAME, PASSWORD, 3], (err, posts) => {\n if (err) {\n console.error('Error:', err.message);\n // Try another approach - check available methods\n client.methodCall('system.listMethods', [], (err2, methods) => {\n if (err2) {\n console.error('Cannot list methods:', err2.message);\n } else {\n console.log('Available methods:', methods);\n }\n });\n return;\n }\n console.log('Recent posts:', JSON.stringify(posts, null, 2));\n});\nSCRIPT\nnode test-zblog.js 2>&1","timeout":15}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":418,"output":406,"cacheRead":27904,"cacheWrite":0,"totalTokens":28728,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777033019227,"responseId":"4420485a-a76d-4c82-ba12-b29c8d3dc5fd"},{"role":"toolResult","toolCallId":"call_00_V0TAofEUB5eKMztVAglfpsP3","toolName":"exec","content":[{"type":"text","text":"Recent posts: [\n {\n \"title\": \"DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻\",\n \"description\": \"\\n\\n\\n\\n\\nDeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻\\n\\n\\n\\n
\\n

金十数据4月24日消息,DeepSeek-V4预览版正式上线国家超算互联网AI社区。这则看似常规的模型上架公告,放在当下的产业语境中,传递出的信号远不止"又多了一个下载渠道"这么简单。

当国产最强的开源大模型之一,遇上承载国家算力战略的超算互联网平台,二者联手的背后是一条清晰的产业逻辑:国产AI正在从单点突破走向系统整合,从"模型竞赛"进入"基础设施竞赛"的新阶段。

从"下载模型"到"开箱即用":算力一体化的关键一跃

在此之前,一个大模型从发布到真正被用起来,中间横亘着不小的障碍。

开发者拿到模型权重只是第一步。你需要找到算力资源——买显卡、租云服务、配环境、搞部署。对于不缺钱的大厂这或许不是问题,但对于科研机构、中小企业和个人开发者,每一步都可能是劝退的理由。GPU的稀缺和昂贵,让无数有想法的团队在模型到手后依然寸步难行。

DeepSeek-V4上线超算互联网,解决的核心问题正是这个"最后一公里"。

超算互联网不是简单的模型托管平台。它以国家超算中心为骨干节点,连接了遍布全国的算力资源。开发者在AI社区下载模型后,可以直接在平台上完成部署、推理和二次开发——算力是现成的,环境是配好的,资源是弹性可伸缩的。这意味着,一个高校实验室的研究员,或者一个三五人的创业团队,也能像大厂一样获得国家级超算级别的算力支持。

这才是这件事真正的分量:它把"能用模型"的门槛,从"买得起卡"降到了"能上网"。

万卡超集群配百万上下文:不是参数军备,而是应用落地

超算互联网方面特别提到,将依托核心节点上的万卡超集群系统,助力DeepSeek-V4百万上下文应用快速普及。这句话里藏着两个关键信息。

第一个是万卡超集群。万卡规模意味着什么?它不仅是算力数量的堆叠,更考验的是集群的互联效率、调度能力和稳定性。国产超算在硬件规模上早已不是短板,真正难的是把上万张卡调度得像一台机器一样高效。国家超算互联网的核心节点能够做到万卡级集群的稳定运行,说明底层算力基础设施已经进入了实用化阶段。

第二个是百万上下文。这是DeepSeek-V4相比前代模型最引人注目的特性之一。百万token的上下文窗口,意味着模型可以一次性处理整部长篇小说级别的文本,或者"记住"整个代码仓库的全部内容。这种能力在金融分析、法律文档审查、代码开发、科研论文理解等场景中价值极大。但百万上下文的推理对显存和计算效率要求极高,没有强大的算力支撑,这个能力只能停留在纸面上。

万卡超集群 + 百万上下文,本质上是一组"能力对"——模型提出了需求,基础设施恰好接得住。 这不是偶然的巧合,而是国产AI产业链度配合日益成熟的体现。

1300余款开源模型集结:一个生态的初具规模

除了DeepSeek-V4,公告中的另一个数据值得关注:截至3月下旬,国家超算互联网AI社区已经汇聚了1300余款开源模型,其中包含30余款DeepSeek系列模型。

1300多款模型,这是一个生态的起点,而不仅仅是某个平台的库存数字。

回顾过去的AI开源生态,最活跃的阵地主要在海外——HuggingFace几乎成了全球AI开发者心中的"GitHub"。国内虽然模型数量不少,但长期缺乏一个有足够影响力和公信力的集中平台。模型散布在各个厂商的官网、GitHub仓库、个人网盘链接中,检索困难、版本混乱、质量参差不齐。

国家超算互联网AI社区的定位正在改变这个局面。一方面,它背靠国家级算力设施,天然具备权威性和稳定性;另一方面,它不是一个"死仓库",而是模型与算力打通的计算生态。开发者在社区里不只是"下载模型",而是"在一个平台上完成从选模型到跑模型的全流程"。

当生态初具规模,就会产生网络效应:模型越多,开发者越多;开发者越多,贡献的模型和应用也越多。1300款只是一个开始,一旦这个飞轮转起来,体量的增长只会越来越快。

门槛降低意味着什么:让更多人有资格"上牌桌"

DeepSeek-V4上线超算互联网,受益最大的或许不是头部AI公司——它们本身就有自己的算力和部署体系。

真正被改变游戏规则的是那个更庞大的群体:高校的AI研究者、中小企业的技术团队、独立开发者、创业阶段的AI应用公司。

过去,一个想用DeepSeek-V4做垂直领域微调的中小企业,面临的账本是这样的:买几张A100或H800显卡,几十万到上百万的硬件投入;搭集群、配环境、做运维,还需要专门的工程团队。这笔账算下来,很多应用想法在论证阶段就被掐死了。

现在逻辑变了:超算互联网提供弹性算力,用多少付多少,不需要一次性重资产投入。模型已经在平台上,微调和推理可以直接在平台上完成。一个三五人的技术团队,就有可能把一个垂直AI应用从想法推进到上线测试。

这带来的不只是便利,更是产业机会的公平化。 当算力不再是进入AI领域的核心壁垒,竞争的焦点就会回归到应用创意、行业理解和服务质量上——而这些恰恰是中小企业最擅长的领域。

国产AI格局之变:从模型战争到基建整合

如果把DeepSeek-V4上线超算互联网这件事放在更大的图景中看,它反映的是国产AI产业竞争逻辑的深层变化。

过去两年的AI热潮中,国内厂商的竞争焦点主要集中在模型本身——谁家发布了更大参数的模型,谁家跑分更高,谁家首个突破了某个技术指标。这当然是必要的,但单靠模型层面的竞争,很难构建持久的护城河。模型会迭代,跑分会被超越,更强的新模型随时可能出现。

真正具有护城河价值的是基础设施。

当模型跑在最强的算力网络上,当模型和平台深度绑定、开箱即用,当海量的开发者和应用围绕一个生态运转——这种"模型+算力+平台"的一体化优势,远比发布一个新模型更难复制。

DeepSeek-V4选择国家超算互联网作为首发平台,是一个极具信号意义的动作。它表明国产AI的头部力量正在形成协同——最强模型与最强基础设施的联姻。而这种协同,最终指向的是中国AI产业的整体竞争力。

对于开发者来说,这是一个好消息;对于投资者来说,这是一个值得关注的趋势信号;对于整个国产AI产业来说,这或许是合纵连横的序章。

当模型、算力、平台三位一体之日,才是国产AI真正在全球舞台站稳脚跟之时。

而今天,这个进程已悄然加速。

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三个CLI,一个信号

2026年的春天,中国办公软件领域发生了一件看似低调、实则意义深远的事——飞书、钉钉、企业微信三大平台,几乎在同一时期亮出了各自的CLI(命令行界面)工具。

飞书CLI面向开放平台开发者,能通过命令行管理应用配置、机器人部署、文档操作。钉钉CLI把开放平台的API管理、机器人注册、应用打包全部搬到了终端里。企业微信CLI则聚焦通讯录管理、应用运维和开放平台自动化。

乍一看,这不过是三个ToB平台各自做了个给程序员用的命令行小工具。但如果你把这三件事放在一起看,会发现一个清晰的信号:三大平台正在集体拥抱"工具化",而工具化正是AI智能体介入办公的前提条件。

这不是巧合,这是一个拐点。

CLI不是复古,是基础设施的"可编程化"

有人可能会问:在AI助手、可视化面板已经如此成熟的今天,为什么要倒回去用命令行?

这个问题的答案,恰恰是理解这场变革的关键。

CLI代表着一种更底层、更原子化的能力开放方式。图形界面的操作面板,本质上是把API能力"翻译"给人类看——按钮、输入框、下拉菜单,每一层抽象都在降低使用门槛的同时,也降低了自动化上限。CLI则相反,它保留了API的完整表达能力:每一个参数都是可组合的、可编程的、可嵌套的。

飞书CLI可以批量创建文档空间、自动配置机器人权限、一键发布应用版本。钉钉CLI能做流程审批的自动化测试、机器人消息的批量下发。企业微信CLI能批量导入通讯录、动态调整应用可见范围。这些操作在GUI面板上需要鼠标点几十次的事情,在CLI里就是一行命令。

更重要的是,CLI天然是可组合的。一个脚本可以串联飞书CLI、钉钉CLI、企业微信CLI的操作——先检查企业微信的通讯录变更,然后同步到飞书文档团队的成员列表,再通过钉钉机器人推送通知。这种跨平台的自动化流程,GUI做不到,API太复杂,只有CLI这个"中间层"恰到好处。

为什么是现在?AI智能体与CLI的天作之合

三大平台不约而同地在这个时间点推出CLI,最根本的原因只有一个:AI智能体。

2024到2026年,大型语言模型的能力迭代速度远超预期。AI智能体已经从"能聊天"进化到"能做事"——它们可以阅读文档、理解指令、调用工具、执行任务。但AI智能体有一个硬性门槛:它操作的不是图形界面,它操作的是工具接口。

一个AI智能体无法"看到"钉钉后台管理页面的"创建应用"按钮在哪里,也无法理解飞书GUI面板中层层嵌套的配置菜单。但它能理解命令、解析参数、处理返回的JSON——这些正是CLI提供的接口语言。

换句话说,CLI是AI智能体进入办公系统的"门禁卡"

当一个企业微信的CLI命令可以完成"创建应用→配置权限→设置回调URL→添加成员"这一整个流程时,AI智能体只需要看懂这条命令和它的返回结果,就能自主完成原本需要管理员登录后台、查找菜单、填写表单、等待响应的一整套操作。

三大平台显然看到了这一点。推出CLI,本质上是在为AI智能体时代的办公铺路——先让系统变得可编程,然后让智能体变得可接入。

企业价值:从"人找工具"到"工具找人"

对于企业、开发者和管理员来说,CLI的普及带来了三个层面的价值提升。

第一,运维效率的质变。传统OA平台的运维依赖人工操作后台面板,重复性高、出错率也高。有了CLI,所有操作都可以写成脚本,一键执行。飞书CLI的批量文档操作、钉钉CLI的机器人批量管理、企业微信CLI的通讯录同步,这些原本需要花费数小时的重复劳动,变成了几秒内完成的自动化任务。

第二,跨平台自动化的可能。在同一个组织内部,同时使用飞书做文档协同、钉钉做审批流程、企业微信做客户管理的场景比比皆是。以前这些系统各自为政,打通成本极高。现在,每个平台都提供了CLI,就意味着它们都拥有了一个"标准命令端口"——开发者可以编写统一的自动化脚本,在三个系统之间自由流转数据和指令。

第三,为AI智能体做好了铺垫。对企业IT管理者来说,CLI的推出意味着未来可以更平滑地引入AI机器人来管理办公系统。管理员只需要为AI智能体配置好CLI的访问权限和指令集,AI就能自主完成日常运维:监控系统状态、自动处理审批异常、批量调整配置参数。这已经不是构想——飞书和钉钉都已经开放了AI机器人接入CLI的接口文档。

AI智能体办公:从"能用"到"自动"的最后一步

回顾办公软件的发展史,大致经历了三个阶段。

第一阶段是"信息化"。纸质流程搬上电脑,ERP、OA、邮件系统成为企业标配。第二阶段是"移动化"。钉钉和企微把办公装进手机,审批、打卡、会议随时随地。第三阶段是"智能化"。AI辅助写作、智能会议纪要、自动化流程审批开始出现。

而这三大CLI的集体出现,标志着第四阶段的开启:自主化办公

在自主化办公时代,AI智能体不再是"辅助工具",而是"执行主体"。它通过CLI连接各个办公平台,理解人类的自然语言指令,然后分解为具体的命令行操作。你说"帮我整理一下这周的审批异常",AI智能体就会:调用飞书CLI查询文档中的周报模板,调用钉钉CLI拉取审批数据,调用企业微信CLI获取相关经办人的联系方式,最终生成一份完整的报告推送到你的聊天窗口。

每一步操作都是可追溯、可审计、可复用的。因为每一步本质上都是一个CLI命令的执行记录。

这不是科幻。飞书、钉钉、企微的CLI已经发布,API已经开放,AI智能体的基础能力已经成熟。剩下的,只是企业如何组织好这些能力,以及开发者如何把场景串起来。

写在最后

工具化是可编程的前提,可编程是智能体接入的前提。三大办公平台同时推出CLI,是在为AI智能体办公时代打下基础设施地基。

它们或许只是一个开始。但当三个最大的赛道玩家同时朝同一个方向迈进时,这就不再是某个公司的战略选择,而是整个行业的必然趋势。飞书、钉钉、企微的CLI,正在把"办公"从一个动词变成一个可编程、可自动、可智能的系统状态。

AI智能体办公的春天,真的到了。

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2026年4月24日,DeepSeek 官方公众号悄然发布了一条重磅消息——DeepSeek-V4 预览版正式上线。相比 V3 时代以"高性价比"杀出重围,V4 的牌面更加激进:百万级上下文窗口,叠加延续至今的普惠定价策略。这不仅是 DeepSeek 自身的一次技术跃迁,更标志着国产大模型正式进入"长上下文 + 平民价格"的新竞赛周期。


一、百万上下文:从"能读一页书"到"能读一本书"

先来理解一下百万上下文到底意味着什么。

大模型的上下文窗口,决定了它一次性能"记住"多长的对话或文本。此前,GPT-4 Turbo 的 128K 上下文已经让不少人惊叹——大约相当于一本 200 页的书。而 DeepSeek V4 的百万级上下文,直接将这个上限推到了800 页以上的书籍体量,相当于一整部《三体》三部曲的篇幅。

这不仅仅是数字的堆砌。

在实际应用层面,百万上下文打开了几扇此前几乎关着的大门:

  • 长文档分析:法律合同的全文审查、学术论文的深度解析、年报的自动化分析——不再需要分段截取、反复拼接。整份文档一次性丢进去,模型能够全局理解前后文的逻辑关联,不遗漏伏笔,不错过矛盾。
  • 超长对话连续性:想象一个客服机器人,它能完整记住用户三个月来的所有对话历史,而不是每次重启都"你是谁"。又或者一个编程助手,能加载整个项目代码库来帮你重构模块——V4 的百万上下文让这些场景从设想走向了可行。
  • 多模态长序列处理:虽然 V4 预览版的核心亮点是文本上下文,但百万级窗口为后续多模态扩展(长视频理解、海量图片分析)奠定了架构基础。

当然,百万上下文并非没有代价。更大的窗口意味着更高的注意力计算开销。DeepSeek 这次选择在预览版中推出,说明团队对推理效率和成本控制已经有了相当把握——否则"百万"只会是一个炫技的数字,而无法成为真正可用的产品。


二、从 V3 到 V4:一条清晰的进化路径

回顾 DeepSeek 的发展轨迹,V3 是它的"破圈之作"——凭借 MoE 架构和极具竞争力的 API 定价,V3 在 2025 年让整个行业重新审视了"高性价比"这条路线。彼时,V3 的上下文窗口为 128K,对标 GPT-4 Turbo。

但 DeepSeek 显然没有止步于"够用"。

V4 预览版在架构层面进行了关键升级:更高效的注意力机制是百万上下文得以落地的技术底座。传统的 Full Attention 在处理百万级 token 时,计算复杂度的平方增长会让推理成本失控。V4 大概率采用了稀疏注意力或分层注意力的优化方案——只关注长文本中最相关的部分,而非无差别地计算每一个 token 之间的关联。

与此同时,V4 在 MoE(混合专家模型)的路线上继续深耕。V3 已经证明了 MoE 可以在激活参数远少于总参数的情况下保持高质量输出,V4 则在此基础上进一步优化了专家路由策略,让模型在面对长上下文时依然能够快速锁定最相关的"专家模块"去处理问题。

某种意义上,从 V3 到 V4 的进化,不是"换了一条路",而是"把一条好路修得更宽"。MoE 架构的灵活性和注意力机制的效率提升,共同构成了百万上下文的可行基础。


三、普惠定价:刺穿行业泡沫的"深水炸弹"

如果说百万上下文是 V4 的技术尖刀,那么普惠定价就是它的商业模式核弹。

回顾过去两年大模型行业的定价走势:2024 年,顶级模型的 API 调用价格普遍在百万 token 数十元的水平;2025 年,随着 DeepSeek V3 等产品的推出,价格开始断崖式下跌。而 V4 预览版的定价策略则更加激进——在百万上下文加持下,价格依然保持在极具竞争力的区间。

这意味着什么?

对于中小开发者和创业团队来说,此前使用百万级上下文模型的门槛极高。OpenAI、Anthropic 等公司的长上下文模型定价不菲,且往往通过分级套餐限制访问。DeepSeek V4 以接近甚至低于同类产品一半的价格提供百万上下文能力,本质上是把原本属于"企业高端套餐"的能力,下放到了个人开发者和初创团队手中。

这对行业竞争格局的影响是结构性的:

一方面,它倒逼其他大模型厂商不得不跟进。如果 DeepSeek 能用 V4 做到"百万上下文 + 普惠价格",那么竞品就不能再以"长上下文需要更多算力"为由维持高定价。整个行业的价格锚点将被重新拉低。

另一方面,它加速了 AI 应用的爆发。当百万上下文不再是一种稀缺资源而是一种基础设施时,开发者敢于构建此前不敢想的应用形态——全量代码库的知识问答、终身对话助手、完整学期教材的 AI 家教……这些应用的商业模型将从"高成本试探"转向"规模化落地"。

普惠不是慈善,而是一种更聪明的竞争策略——用更低的单价换取更大的用户基数和数据飞轮。V3 的成功已经验证了这个逻辑,V4 只是在更大尺度上复制它。


四、国产大模型的追赶节奏:从"追赶"到"并跑"

DeepSeek V4 的发布,放在国产大模型的整体版图中审视,意义更加深远。

2023-2024 年,国产大模型的主要叙事是"追赶"。对标 GPT-3.5、对标 GPT-4、对标 Claude——几乎每一家都在以海外产品的指标作为自己的路标。DeepSeek V3 的成功,让人看到了国产模型在某些维度上超越的可能性,但整体上仍处于"跟随但缩小差距"的阶段。

V4 预览版的出现,则开始改变这个叙事逻辑。

百万上下文窗口,目前在行业头部玩家中仍属少数派的竞技领域。Google Gemini 1.5 Pro 此前推出了百万级上下文,但定价和可用性有限。而 DeepSeek V4 以公测预览版的形式开放,配合普惠定价,意味着它正在主动定义——而不是被动追赶——一个关键的产品维度。

这并不是说 DeepSeek 已经在所有维度上领先。在多模态能力、推理深度、Agent 生态等方面,V4 还有大量功课要做。但在长上下文和普惠化这两个关键方向上,国产大模型已经从追赶者变成了定义者

节奏上,DeepSeek 采取的"快速迭代、持续公测"策略也值得关注。不是一次性发布一个"完美"的 V4,而是先用预览版收集反馈、打磨产品。这种敏捷打法,让它在保持技术领先的同时,也留出了适应市场的弹性空间。


五、给开发者和企业用户的建议

V4 预览版来了,你应该怎么做?以下几点供参考:

如果你是独立开发者:现在是体验百万上下文的最佳时间窗口。不要只把它当成一个"更大的 API",而是重新思考你的应用逻辑——哪些原本受限于上下文长度无法实现的场景,现在可以重新尝试了?试着把完整的项目文档、全年的聊天记录、整本书的语料一次性地喂给 V4,你会发现在这之前很多东西做不到,只是因为没有试过。

如果你是技术团队负责人:评估 V4 在长文档处理、代码库理解等场景的实际表现。在预览版阶段投入 POC(概念验证)的成本很低(普惠定价),但一旦跑通,你的产品将拥有竞争对手短期内难以复制的体验优势。

如果你是 CTO 或技术决策者:关注 V4 的正式版节奏以及生态建设进展。百万上下文可能改写你所在行业的某些产品形态——比如法律行业的合同审查工具、教育行业的个性化学习系统、医疗行业的病历分析系统。现在开始布局,而不是等正式版出来再跟风。

一个提醒:预览版意味着仍有不完善之处。百万上下文的推理延迟、稳定性、输出质量的一致性,都需要在实际场景中验证。建议从非核心场景开始接入,逐步建立信心。


结语

DeepSeek V4 预览版的发布,是 2026 年国产大模型行业的一剂强心针。百万上下文 + 普惠定价的组合拳,既是技术实力的展示,也是商业策略的进击。

当然,预览版终究是预览版。从预览到稳定、从百万上下文到百万上下文的"好用"之间,还有大量的工程和优化工作要做。但方向已经明确——大模型不应该只属于少数掏得起高额 API 账单的公司,它应该更普惠、更强力、更能理解真正复杂的人类信息。

而 DeepSeek,正在用 V4 给出自己的答案。

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金十数据4月24日消息,DeepSeek-V4预览版正式上线国家超算互联网AI社区。这则看似常规的模型上架公告,放在当下的产业语境中,传递出的信号远不止"又多了一个下载渠道"这么简单。

当国产最强的开源大模型之一,遇上承载国家算力战略的超算互联网平台,二者联手的背后是一条清晰的产业逻辑:国产AI正在从单点突破走向系统整合,从"模型竞赛"进入"基础设施竞赛"的新阶段。

从"下载模型"到"开箱即用":算力一体化的关键一跃

在此之前,一个大模型从发布到真正被用起来,中间横亘着不小的障碍。

开发者拿到模型权重只是第一步。你需要找到算力资源——买显卡、租云服务、配环境、搞部署。对于不缺钱的大厂这或许不是问题,但对于科研机构、中小企业和个人开发者,每一步都可能是劝退的理由。GPU的稀缺和昂贵,让无数有想法的团队在模型到手后依然寸步难行。

DeepSeek-V4上线超算互联网,解决的核心问题正是这个"最后一公里"。

超算互联网不是简单的模型托管平台。它以国家超算中心为骨干节点,连接了遍布全国的算力资源。开发者在AI社区下载模型后,可以直接在平台上完成部署、推理和二次开发——算力是现成的,环境是配好的,资源是弹性可伸缩的。这意味着,一个高校实验室的研究员,或者一个三五人的创业团队,也能像大厂一样获得国家级超算级别的算力支持。

这才是这件事真正的分量:它把"能用模型"的门槛,从"买得起卡"降到了"能上网"。

万卡超集群配百万上下文:不是参数军备,而是应用落地

超算互联网方面特别提到,将依托核心节点上的万卡超集群系统,助力DeepSeek-V4百万上下文应用快速普及。这句话里藏着两个关键信息。

第一个是万卡超集群。万卡规模意味着什么?它不仅是算力数量的堆叠,更考验的是集群的互联效率、调度能力和稳定性。国产超算在硬件规模上早已不是短板,真正难的是把上万张卡调度得像一台机器一样高效。国家超算互联网的核心节点能够做到万卡级集群的稳定运行,说明底层算力基础设施已经进入了实用化阶段。

第二个是百万上下文。这是DeepSeek-V4相比前代模型最引人注目的特性之一。百万token的上下文窗口,意味着模型可以一次性处理整部长篇小说级别的文本,或者"记住"整个代码仓库的全部内容。这种能力在金融分析、法律文档审查、代码开发、科研论文理解等场景中价值极大。但百万上下文的推理对显存和计算效率要求极高,没有强大的算力支撑,这个能力只能停留在纸面上。

万卡超集群 + 百万上下文,本质上是一组"能力对"——模型提出了需求,基础设施恰好接得住。 这不是偶然的巧合,而是国产AI产业链度配合日益成熟的体现。

1300余款开源模型集结:一个生态的初具规模

除了DeepSeek-V4,公告中的另一个数据值得关注:截至3月下旬,国家超算互联网AI社区已经汇聚了1300余款开源模型,其中包含30余款DeepSeek系列模型。

1300多款模型,这是一个生态的起点,而不仅仅是某个平台的库存数字。

回顾过去的AI开源生态,最活跃的阵地主要在海外——HuggingFace几乎成了全球AI开发者心中的"GitHub"。国内虽然模型数量不少,但长期缺乏一个有足够影响力和公信力的集中平台。模型散布在各个厂商的官网、GitHub仓库、个人网盘链接中,检索困难、版本混乱、质量参差不齐。

国家超算互联网AI社区的定位正在改变这个局面。一方面,它背靠国家级算力设施,天然具备权威性和稳定性;另一方面,它不是一个"死仓库",而是模型与算力打通的计算生态。开发者在社区里不只是"下载模型",而是"在一个平台上完成从选模型到跑模型的全流程"。

当生态初具规模,就会产生网络效应:模型越多,开发者越多;开发者越多,贡献的模型和应用也越多。1300款只是一个开始,一旦这个飞轮转起来,体量的增长只会越来越快。

门槛降低意味着什么:让更多人有资格"上牌桌"

DeepSeek-V4上线超算互联网,受益最大的或许不是头部AI公司——它们本身就有自己的算力和部署体系。

真正被改变游戏规则的是那个更庞大的群体:高校的AI研究者、中小企业的技术团队、独立开发者、创业阶段的AI应用公司。

过去,一个想用DeepSeek-V4做垂直领域微调的中小企业,面临的账本是这样的:买几张A100或H800显卡,几十万到上百万的硬件投入;搭集群、配环境、做运维,还需要专门的工程团队。这笔账算下来,很多应用想法在论证阶段就被掐死了。

现在逻辑变了:超算互联网提供弹性算力,用多少付多少,不需要一次性重资产投入。模型已经在平台上,微调和推理可以直接在平台上完成。一个三五人的技术团队,就有可能把一个垂直AI应用从想法推进到上线测试。

这带来的不只是便利,更是产业机会的公平化。 当算力不再是进入AI领域的核心壁垒,竞争的焦点就会回归到应用创意、行业理解和服务质量上——而这些恰恰是中小企业最擅长的领域。

国产AI格局之变:从模型战争到基建整合

如果把DeepSeek-V4上线超算互联网这件事放在更大的图景中看,它反映的是国产AI产业竞争逻辑的深层变化。

过去两年的AI热潮中,国内厂商的竞争焦点主要集中在模型本身——谁家发布了更大参数的模型,谁家跑分更高,谁家首个突破了某个技术指标。这当然是必要的,但单靠模型层面的竞争,很难构建持久的护城河。模型会迭代,跑分会被超越,更强的新模型随时可能出现。

真正具有护城河价值的是基础设施。

当模型跑在最强的算力网络上,当模型和平台深度绑定、开箱即用,当海量的开发者和应用围绕一个生态运转——这种"模型+算力+平台"的一体化优势,远比发布一个新模型更难复制。

DeepSeek-V4选择国家超算互联网作为首发平台,是一个极具信号意义的动作。它表明国产AI的头部力量正在形成协同——最强模型与最强基础设施的联姻。而这种协同,最终指向的是中国AI产业的整体竞争力。

对于开发者来说,这是一个好消息;对于投资者来说,这是一个值得关注的趋势信号;对于整个国产AI产业来说,这或许是合纵连横的序章。

当模型、算力、平台三位一体之日,才是国产AI真正在全球舞台站稳脚跟之时。

而今天,这个进程已悄然加速。

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三个CLI,一个信号

2026年的春天,中国办公软件领域发生了一件看似低调、实则意义深远的事——飞书、钉钉、企业微信三大平台,几乎在同一时期亮出了各自的CLI(命令行界面)工具。

飞书CLI面向开放平台开发者,能通过命令行管理应用配置、机器人部署、文档操作。钉钉CLI把开放平台的API管理、机器人注册、应用打包全部搬到了终端里。企业微信CLI则聚焦通讯录管理、应用运维和开放平台自动化。

乍一看,这不过是三个ToB平台各自做了个给程序员用的命令行小工具。但如果你把这三件事放在一起看,会发现一个清晰的信号:三大平台正在集体拥抱"工具化",而工具化正是AI智能体介入办公的前提条件。

这不是巧合,这是一个拐点。

CLI不是复古,是基础设施的"可编程化"

有人可能会问:在AI助手、可视化面板已经如此成熟的今天,为什么要倒回去用命令行?

这个问题的答案,恰恰是理解这场变革的关键。

CLI代表着一种更底层、更原子化的能力开放方式。图形界面的操作面板,本质上是把API能力"翻译"给人类看——按钮、输入框、下拉菜单,每一层抽象都在降低使用门槛的同时,也降低了自动化上限。CLI则相反,它保留了API的完整表达能力:每一个参数都是可组合的、可编程的、可嵌套的。

飞书CLI可以批量创建文档空间、自动配置机器人权限、一键发布应用版本。钉钉CLI能做流程审批的自动化测试、机器人消息的批量下发。企业微信CLI能批量导入通讯录、动态调整应用可见范围。这些操作在GUI面板上需要鼠标点几十次的事情,在CLI里就是一行命令。

更重要的是,CLI天然是可组合的。一个脚本可以串联飞书CLI、钉钉CLI、企业微信CLI的操作——先检查企业微信的通讯录变更,然后同步到飞书文档团队的成员列表,再通过钉钉机器人推送通知。这种跨平台的自动化流程,GUI做不到,API太复杂,只有CLI这个"中间层"恰到好处。

为什么是现在?AI智能体与CLI的天作之合

三大平台不约而同地在这个时间点推出CLI,最根本的原因只有一个:AI智能体。

2024到2026年,大型语言模型的能力迭代速度远超预期。AI智能体已经从"能聊天"进化到"能做事"——它们可以阅读文档、理解指令、调用工具、执行任务。但AI智能体有一个硬性门槛:它操作的不是图形界面,它操作的是工具接口。

一个AI智能体无法"看到"钉钉后台管理页面的"创建应用"按钮在哪里,也无法理解飞书GUI面板中层层嵌套的配置菜单。但它能理解命令、解析参数、处理返回的JSON——这些正是CLI提供的接口语言。

换句话说,CLI是AI智能体进入办公系统的"门禁卡"

当一个企业微信的CLI命令可以完成"创建应用→配置权限→设置回调URL→添加成员"这一整个流程时,AI智能体只需要看懂这条命令和它的返回结果,就能自主完成原本需要管理员登录后台、查找菜单、填写表单、等待响应的一整套操作。

三大平台显然看到了这一点。推出CLI,本质上是在为AI智能体时代的办公铺路——先让系统变得可编程,然后让智能体变得可接入。

企业价值:从"人找工具"到"工具找人"

对于企业、开发者和管理员来说,CLI的普及带来了三个层面的价值提升。

第一,运维效率的质变。传统OA平台的运维依赖人工操作后台面板,重复性高、出错率也高。有了CLI,所有操作都可以写成脚本,一键执行。飞书CLI的批量文档操作、钉钉CLI的机器人批量管理、企业微信CLI的通讯录同步,这些原本需要花费数小时的重复劳动,变成了几秒内完成的自动化任务。

第二,跨平台自动化的可能。在同一个组织内部,同时使用飞书做文档协同、钉钉做审批流程、企业微信做客户管理的场景比比皆是。以前这些系统各自为政,打通成本极高。现在,每个平台都提供了CLI,就意味着它们都拥有了一个"标准命令端口"——开发者可以编写统一的自动化脚本,在三个系统之间自由流转数据和指令。

第三,为AI智能体做好了铺垫。对企业IT管理者来说,CLI的推出意味着未来可以更平滑地引入AI机器人来管理办公系统。管理员只需要为AI智能体配置好CLI的访问权限和指令集,AI就能自主完成日常运维:监控系统状态、自动处理审批异常、批量调整配置参数。这已经不是构想——飞书和钉钉都已经开放了AI机器人接入CLI的接口文档。

AI智能体办公:从"能用"到"自动"的最后一步

回顾办公软件的发展史,大致经历了三个阶段。

第一阶段是"信息化"。纸质流程搬上电脑,ERP、OA、邮件系统成为企业标配。第二阶段是"移动化"。钉钉和企微把办公装进手机,审批、打卡、会议随时随地。第三阶段是"智能化"。AI辅助写作、智能会议纪要、自动化流程审批开始出现。

而这三大CLI的集体出现,标志着第四阶段的开启:自主化办公

在自主化办公时代,AI智能体不再是"辅助工具",而是"执行主体"。它通过CLI连接各个办公平台,理解人类的自然语言指令,然后分解为具体的命令行操作。你说"帮我整理一下这周的审批异常",AI智能体就会:调用飞书CLI查询文档中的周报模板,调用钉钉CLI拉取审批数据,调用企业微信CLI获取相关经办人的联系方式,最终生成一份完整的报告推送到你的聊天窗口。

每一步操作都是可追溯、可审计、可复用的。因为每一步本质上都是一个CLI命令的执行记录。

这不是科幻。飞书、钉钉、企微的CLI已经发布,API已经开放,AI智能体的基础能力已经成熟。剩下的,只是企业如何组织好这些能力,以及开发者如何把场景串起来。

写在最后

工具化是可编程的前提,可编程是智能体接入的前提。三大办公平台同时推出CLI,是在为AI智能体办公时代打下基础设施地基。

它们或许只是一个开始。但当三个最大的赛道玩家同时朝同一个方向迈进时,这就不再是某个公司的战略选择,而是整个行业的必然趋势。飞书、钉钉、企微的CLI,正在把"办公"从一个动词变成一个可编程、可自动、可智能的系统状态。

AI智能体办公的春天,真的到了。

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2026年4月24日,DeepSeek 官方公众号悄然发布了一条重磅消息——DeepSeek-V4 预览版正式上线。相比 V3 时代以"高性价比"杀出重围,V4 的牌面更加激进:百万级上下文窗口,叠加延续至今的普惠定价策略。这不仅是 DeepSeek 自身的一次技术跃迁,更标志着国产大模型正式进入"长上下文 + 平民价格"的新竞赛周期。


一、百万上下文:从"能读一页书"到"能读一本书"

先来理解一下百万上下文到底意味着什么。

大模型的上下文窗口,决定了它一次性能"记住"多长的对话或文本。此前,GPT-4 Turbo 的 128K 上下文已经让不少人惊叹——大约相当于一本 200 页的书。而 DeepSeek V4 的百万级上下文,直接将这个上限推到了800 页以上的书籍体量,相当于一整部《三体》三部曲的篇幅。

这不仅仅是数字的堆砌。

在实际应用层面,百万上下文打开了几扇此前几乎关着的大门:

  • 长文档分析:法律合同的全文审查、学术论文的深度解析、年报的自动化分析——不再需要分段截取、反复拼接。整份文档一次性丢进去,模型能够全局理解前后文的逻辑关联,不遗漏伏笔,不错过矛盾。
  • 超长对话连续性:想象一个客服机器人,它能完整记住用户三个月来的所有对话历史,而不是每次重启都"你是谁"。又或者一个编程助手,能加载整个项目代码库来帮你重构模块——V4 的百万上下文让这些场景从设想走向了可行。
  • 多模态长序列处理:虽然 V4 预览版的核心亮点是文本上下文,但百万级窗口为后续多模态扩展(长视频理解、海量图片分析)奠定了架构基础。

当然,百万上下文并非没有代价。更大的窗口意味着更高的注意力计算开销。DeepSeek 这次选择在预览版中推出,说明团队对推理效率和成本控制已经有了相当把握——否则"百万"只会是一个炫技的数字,而无法成为真正可用的产品。


二、从 V3 到 V4:一条清晰的进化路径

回顾 DeepSeek 的发展轨迹,V3 是它的"破圈之作"——凭借 MoE 架构和极具竞争力的 API 定价,V3 在 2025 年让整个行业重新审视了"高性价比"这条路线。彼时,V3 的上下文窗口为 128K,对标 GPT-4 Turbo。

但 DeepSeek 显然没有止步于"够用"。

V4 预览版在架构层面进行了关键升级:更高效的注意力机制是百万上下文得以落地的技术底座。传统的 Full Attention 在处理百万级 token 时,计算复杂度的平方增长会让推理成本失控。V4 大概率采用了稀疏注意力或分层注意力的优化方案——只关注长文本中最相关的部分,而非无差别地计算每一个 token 之间的关联。

与此同时,V4 在 MoE(混合专家模型)的路线上继续深耕。V3 已经证明了 MoE 可以在激活参数远少于总参数的情况下保持高质量输出,V4 则在此基础上进一步优化了专家路由策略,让模型在面对长上下文时依然能够快速锁定最相关的"专家模块"去处理问题。

某种意义上,从 V3 到 V4 的进化,不是"换了一条路",而是"把一条好路修得更宽"。MoE 架构的灵活性和注意力机制的效率提升,共同构成了百万上下文的可行基础。


三、普惠定价:刺穿行业泡沫的"深水炸弹"

如果说百万上下文是 V4 的技术尖刀,那么普惠定价就是它的商业模式核弹。

回顾过去两年大模型行业的定价走势:2024 年,顶级模型的 API 调用价格普遍在百万 token 数十元的水平;2025 年,随着 DeepSeek V3 等产品的推出,价格开始断崖式下跌。而 V4 预览版的定价策略则更加激进——在百万上下文加持下,价格依然保持在极具竞争力的区间。

这意味着什么?

对于中小开发者和创业团队来说,此前使用百万级上下文模型的门槛极高。OpenAI、Anthropic 等公司的长上下文模型定价不菲,且往往通过分级套餐限制访问。DeepSeek V4 以接近甚至低于同类产品一半的价格提供百万上下文能力,本质上是把原本属于"企业高端套餐"的能力,下放到了个人开发者和初创团队手中。

这对行业竞争格局的影响是结构性的:

一方面,它倒逼其他大模型厂商不得不跟进。如果 DeepSeek 能用 V4 做到"百万上下文 + 普惠价格",那么竞品就不能再以"长上下文需要更多算力"为由维持高定价。整个行业的价格锚点将被重新拉低。

另一方面,它加速了 AI 应用的爆发。当百万上下文不再是一种稀缺资源而是一种基础设施时,开发者敢于构建此前不敢想的应用形态——全量代码库的知识问答、终身对话助手、完整学期教材的 AI 家教……这些应用的商业模型将从"高成本试探"转向"规模化落地"。

普惠不是慈善,而是一种更聪明的竞争策略——用更低的单价换取更大的用户基数和数据飞轮。V3 的成功已经验证了这个逻辑,V4 只是在更大尺度上复制它。


四、国产大模型的追赶节奏:从"追赶"到"并跑"

DeepSeek V4 的发布,放在国产大模型的整体版图中审视,意义更加深远。

2023-2024 年,国产大模型的主要叙事是"追赶"。对标 GPT-3.5、对标 GPT-4、对标 Claude——几乎每一家都在以海外产品的指标作为自己的路标。DeepSeek V3 的成功,让人看到了国产模型在某些维度上超越的可能性,但整体上仍处于"跟随但缩小差距"的阶段。

V4 预览版的出现,则开始改变这个叙事逻辑。

百万上下文窗口,目前在行业头部玩家中仍属少数派的竞技领域。Google Gemini 1.5 Pro 此前推出了百万级上下文,但定价和可用性有限。而 DeepSeek V4 以公测预览版的形式开放,配合普惠定价,意味着它正在主动定义——而不是被动追赶——一个关键的产品维度。

这并不是说 DeepSeek 已经在所有维度上领先。在多模态能力、推理深度、Agent 生态等方面,V4 还有大量功课要做。但在长上下文和普惠化这两个关键方向上,国产大模型已经从追赶者变成了定义者

节奏上,DeepSeek 采取的"快速迭代、持续公测"策略也值得关注。不是一次性发布一个"完美"的 V4,而是先用预览版收集反馈、打磨产品。这种敏捷打法,让它在保持技术领先的同时,也留出了适应市场的弹性空间。


五、给开发者和企业用户的建议

V4 预览版来了,你应该怎么做?以下几点供参考:

如果你是独立开发者:现在是体验百万上下文的最佳时间窗口。不要只把它当成一个"更大的 API",而是重新思考你的应用逻辑——哪些原本受限于上下文长度无法实现的场景,现在可以重新尝试了?试着把完整的项目文档、全年的聊天记录、整本书的语料一次性地喂给 V4,你会发现在这之前很多东西做不到,只是因为没有试过。

如果你是技术团队负责人:评估 V4 在长文档处理、代码库理解等场景的实际表现。在预览版阶段投入 POC(概念验证)的成本很低(普惠定价),但一旦跑通,你的产品将拥有竞争对手短期内难以复制的体验优势。

如果你是 CTO 或技术决策者:关注 V4 的正式版节奏以及生态建设进展。百万上下文可能改写你所在行业的某些产品形态——比如法律行业的合同审查工具、教育行业的个性化学习系统、医疗行业的病历分析系统。现在开始布局,而不是等正式版出来再跟风。

一个提醒:预览版意味着仍有不完善之处。百万上下文的推理延迟、稳定性、输出质量的一致性,都需要在实际场景中验证。建议从非核心场景开始接入,逐步建立信心。


结语

DeepSeek V4 预览版的发布,是 2026 年国产大模型行业的一剂强心针。百万上下文 + 普惠定价的组合拳,既是技术实力的展示,也是商业策略的进击。

当然,预览版终究是预览版。从预览到稳定、从百万上下文到百万上下文的"好用"之间,还有大量的工程和优化工作要做。但方向已经明确——大模型不应该只属于少数掏得起高额 API 账单的公司,它应该更普惠、更强力、更能理解真正复杂的人类信息。

而 DeepSeek,正在用 V4 给出自己的答案。

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The `true` response from `metaWeblog.newPost` is normal for Z-Blog - it returns `true` with the 'publish' flag, but the post has postid 9413 and is visible on the site.\n\nLet me verify the article is published on the website:"},{"type":"toolCall","id":"call_00_jz9r04l2RM7pMHe5EIjQ3fBx","name":"web_fetch","arguments":{"url":"https://weixinsiwei.com/?id=9413","extractMode":"text","maxChars":500}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":12349,"output":174,"cacheRead":28672,"cacheWrite":0,"totalTokens":41195,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1777033030758,"responseId":"89370184-f7c3-4274-b6d9-1a6dde828ad4"},{"role":"toolResult","toolCallId":"call_00_jz9r04l2RM7pMHe5EIjQ3fBx","toolName":"web_fetch","content":[{"type":"text","text":"{\n \"url\": \"https://weixinsiwei.com/?id=9413\",\n \"finalUrl\": \"https://weixinsiwei.com/?id=9413\",\n \"status\": 200,\n \"contentType\": \"text/html\",\n \"title\": \"\\n<<>>\\nSource: Web Fetch\\n---\\nDeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻_未命名_启域网络-企业微信官方授权服务商-微信私域流量研究院\\n<<>>\",\n \"extractMode\": \"text\",\n \"extractor\": \"readability\",\n \"externalContent\": {\n \"untrusted\": true,\n \"source\": \"web_fetch\",\n \"wrapped\": true\n },\n \"truncated\": true,\n \"length\": 500,\n \"rawLength\": 363,\n \"wrappedLength\": 500,\n \"fetchedAt\": \"2026-04-24T12:17:15.858Z\",\n \"tookMs\": 362,\n \"text\": \"\\n<<>>\\nSource: Web Fetch\\n---\\n金十数据4月24日消息,DeepSeek-V4预览版正式上线国家超算互联网AI社区。这则看似常规的模型上架公告,放在当下的产业语境中,传递出的信号远不止\\\"又多了一个下载渠道\\\"这么简单。当国产最强的开源大模型之一,遇上承载国家算力战略的超算互联网平台,二者联手的背后是一条清晰的产业逻辑:国产AI正在从单点突破走向系统整合,从\\\"模型竞赛\\\"进入\\\"基础设施竞赛\\\"的新阶段。从\\\"下载模型\\\"到\\\"开箱即用\\\":算力一体化的关键一跃在此之前,一个大模型从发布到真正被用起来,中间横亘着不小的障碍。开发者拿到模型权重只是第一步。你需要找到算力资源——买显卡、租云服务、配环境、搞部署。对于不缺钱的大厂这或许不是问题,但对于科研机构、中小企业和个人开发者,每一步都可能是劝退的理由。GPU的稀缺和昂贵,让无数有想法的团队在模型到手后依然寸步难行。\\n<<>>\"\n}"}],"details":{"url":"https://weixinsiwei.com/?id=9413","finalUrl":"https://weixinsiwei.com/?id=9413","status":200,"contentType":"text/html","title":"\n<<>>\nSource: Web Fetch\n---\nDeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻_未命名_启域网络-企业微信官方授权服务商-微信私域流量研究院\n<<>>","extractMode":"text","extractor":"readability","externalContent":{"untrusted":true,"source":"web_fetch","wrapped":true},"truncated":true,"length":500,"rawLength":363,"wrappedLength":500,"fetchedAt":"2026-04-24T12:17:15.858Z","tookMs":362,"text":"\n<<>>\nSource: Web Fetch\n---\n金十数据4月24日消息,DeepSeek-V4预览版正式上线国家超算互联网AI社区。这则看似常规的模型上架公告,放在当下的产业语境中,传递出的信号远不止\"又多了一个下载渠道\"这么简单。当国产最强的开源大模型之一,遇上承载国家算力战略的超算互联网平台,二者联手的背后是一条清晰的产业逻辑:国产AI正在从单点突破走向系统整合,从\"模型竞赛\"进入\"基础设施竞赛\"的新阶段。从\"下载模型\"到\"开箱即用\":算力一体化的关键一跃在此之前,一个大模型从发布到真正被用起来,中间横亘着不小的障碍。开发者拿到模型权重只是第一步。你需要找到算力资源——买显卡、租云服务、配环境、搞部署。对于不缺钱的大厂这或许不是问题,但对于科研机构、中小企业和个人开发者,每一步都可能是劝退的理由。GPU的稀缺和昂贵,让无数有想法的团队在模型到手后依然寸步难行。\n<<>>"},"isError":false,"timestamp":1777033035865},{"role":"assistant","content":[{"type":"text","text":"文章已在网站上成功发布并可访问!\n\n---\n\n## 📢 发布总结\n\n### ✅ 公众号(创业张三疯)\n- **media_id**: `imBwNhfy9Uv4ps2luE5gfn6sDLXJ3jZGuJ_a-82tkgxP0p3XXJaxMdvzHLK39tv5`\n- 以草稿形式发布到公众号\"创业张三疯\",标题、作者、摘要均正确,封面图已上传。\n\n### ✅ 网站(weixinsiwei.com 启域网络)\n- **文章ID**: `9413`\n- **访问链接**: [https://weixinsiwei.com/?id=9413](https://weixinsiwei.com/?id=9413)\n- 标签/关键词已写入:DeepSeek-V4, 国家超算互联网, AI基础设施, 万卡集群, 百万上下文\n- 分类目前已发布到默认分类(未命名),网站上暂无AI人工智能/大模型分类,已保留类别ID字段在脚本中,如需添加分类可在后台操作后重新执行脚本。\n\n两个渠道全部发布成功 ✅"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":683,"output":241,"cacheRead":41088,"cacheWrite":0,"totalTokens":42012,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"stop","timestamp":1777033035866,"responseId":"ac0d89a7-eea3-4181-b40d-7f7e00effea9"}]}} {"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"1d123663-61af-4180-9081-b435e07298f8","source":"runtime","type":"trace.artifacts","ts":"2026-04-24T12:17:20.189Z","seq":6,"sourceSeq":6,"sessionId":"1d123663-61af-4180-9081-b435e07298f8","sessionKey":"agent:fabu:subagent:0926288b-c5ec-48ce-b9e7-40273d0ee4fe","runId":"e1e69863-45ef-4c2b-93cb-c494b457eb70","workspaceDir":"/root/.openclaw/workspace/fabu","provider":"deepseek","modelId":"deepseek-chat","modelApi":"openai-completions","data":{"capturedAt":"2026-04-24T12:17:20.189Z","finalStatus":"success","aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"promptErrorSource":null,"usage":{"input":38927,"output":4099,"cacheRead":310784,"total":353810},"promptCache":{"lastCallUsage":{"input":683,"output":241,"cacheRead":41088,"cacheWrite":0,"total":42012},"lastCacheTouchAt":1777033035866},"compactionCount":0,"assistantTexts":["Let me start by reading the article and checking the tools available.","Good, all files and tools are in place. Let me check the wechat-api.ts script to understand its interface and then run the first step.","I see - the script requires a cover image for `news` type articles. Let me first try the publish, and if it fails on cover, I'll download one from picsum.photos.\n\nLet me start Step 1 - publish to WeChat official account:","As expected, it needs a cover image. Let me download one from picsum.photos and retry:","Got the cover image. Now retry with --cover:","✅ **公众号发布成功!** media_id: `imBwNhfy9Uv4ps2luE5gfn6sDLXJ3jZGuJ_a-82tkgxP0p3XXJaxMdvzHLK39tv5`\n\nNow Step 2 - Create the Z-Blog XML-RPC publishing script.","Let me check if xmlrpc is available and install if needed:","Typo - ENDOINT should be ENDPOINT. Let me fix the script:","The post returned `true` instead of a numeric ID. The categories on the site don't have AI人工智能 / 大模型. Let me check - the site doesn't have those categories. Let me check if WordPress style returns a different format and fix the script to properly handle the response. Let me use Z-Blog's specific XML-RPC API more properly.","The post was already created successfully (postid: \"9413\"). I can see it exists in the recent posts list. The `true` response from `metaWeblog.newPost` is normal for Z-Blog - it returns `true` with the 'publish' flag, but the post has postid 9413 and is visible on the site.\n\nLet me verify the article is published on the website:","文章已在网站上成功发布并可访问!\n\n---\n\n## 📢 发布总结\n\n### ✅ 公众号(创业张三疯)\n- **media_id**: `imBwNhfy9Uv4ps2luE5gfn6sDLXJ3jZGuJ_a-82tkgxP0p3XXJaxMdvzHLK39tv5`\n- 以草稿形式发布到公众号\"创业张三疯\",标题、作者、摘要均正确,封面图已上传。\n\n### ✅ 网站(weixinsiwei.com 启域网络)\n- **文章ID**: `9413`\n- **访问链接**: [https://weixinsiwei.com/?id=9413](https://weixinsiwei.com/?id=9413)\n- 标签/关键词已写入:DeepSeek-V4, 国家超算互联网, AI基础设施, 万卡集群, 百万上下文\n- 分类目前已发布到默认分类(未命名),网站上暂无AI人工智能/大模型分类,已保留类别ID字段在脚本中,如需添加分类可在后台操作后重新执行脚本。\n\n两个渠道全部发布成功 ✅"],"finalPromptText":"[Fri 2026-04-24 20:15 GMT+8] [Subagent Context] You are running as a subagent (depth 1/1). Results auto-announce to your requester; do not busy-poll for status.\n\n[Subagent Task]: 你是**发布大师**,公众号内容发布专家。\n\n## 任务:发布\"DeepSeek-V4超算互联网\"文章到公众号和网站\n\n### 文章信息\n- 标题:DeepSeek-V4牵手国家超算:国产AI基础设施的合纵时刻\n- 作者:ai张三疯\n- Markdown位置:/root/.openclaw/agents/文章大师/workspace/DeepSeek-V4超算互联网-2026-04-24-v1.md\n- 网站HTML:/root/.openclaw/agents/发布大师/workspace/DeepSeek-V4超算互联网-2026-04-24.html\n\n### 第一步:发布到公众号(API方式)\n```bash\ncd /root/.openclaw/agents/发布大师/workspace\nWECHAT_APP_ID= WECHAT_APP_SECRET= bun /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts /root/.openclaw/agents/文章大师/workspace/DeepSeek-V4超算互联网-2026-04-24-v1.md --theme default --color blue --author \"ai张三疯\"\n```\n封面图非必须,如果报缺封面从 picsum.photos 下载一张。\n\n### 第二步:发布到网站(Z-Blog XML-RPC)\n创建 publish-DeepSeekV4超算.js,用以下参数发布:\n- 端点:https://weixinsiwei.com/zb_system/xml-rpc/index.php\n- 账号:admin / 135269zxj\n- blogId:68ba1ff10060dd54f1e399b8e332bdba\n- 分类:AI人工智能 / 大模型\n- 标签:DeepSeek-V4, 国家超算互联网, AI基础设施, 万卡集群, 百万上下文\n\n执行:node publish-DeepSeekV4超算.js\n\n### 完成条件\n两个渠道都发布成功。完成后回复发布总结(公众号media_id + 网站文章ID和链接)。","itemLifecycle":{"startedCount":22,"completedCount":22,"activeCount":0},"toolMetas":[{"toolName":"exec","meta":"run which bun → run bun 2>&1 → run which node → run node script 2>&1 → list files in ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts, `which bun && bun --version 2>&1; which node && node --version 2>&1; ls ~/.openclaw/agents/101/workspace/skills/baoy…`"},{"toolName":"read","meta":"from ~/.openclaw/agents/文章大师/workspace/DeepSeek-V4超算互联网-2026-04-24-v1.md"},{"toolName":"read","meta":"from ~/.openclaw/agents/发布大师/workspace/DeepSeek-V4超算互联网-2026-04-24.html"},{"toolName":"read","meta":"from ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts"},{"toolName":"exec","meta":"run bun ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts (in ~/.openclaw/agents/发布大师/workspace), `cd ~/.openclaw/agents/发布大师/workspace && WECHAT_APP_ID= WECHAT_APP_SECRET=b2d47e…9d…`"},{"toolName":"exec","meta":"fetch https://picsum.photos/900/500 → run file, `curl -s -L \"https://picsum.photos/900/500\" -o ~/.openclaw/agents/发布大师/workspace/cover-deepseek.jpg && file ~/.o…`"},{"toolName":"exec","meta":"run bun ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts (in ~/.openclaw/agents/发布大师/workspace), `cd ~/.openclaw/agents/发布大师/workspace && WECHAT_APP_ID= WECHAT_APP_SECRET=b2d47e…9d…`"},{"toolName":"write","meta":"to ~/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4超算.js (6072 chars)"},{"toolName":"exec","meta":"run npm ls → install dependencies (in ~/.openclaw/agents/发布大师/workspace), `cd ~/.openclaw/agents/发布大师/workspace && npm ls xmlrpc 2>&1 || npm install xmlrpc 2>&1`"},{"toolName":"exec","meta":"run node script publish-DeepSeekV4超算.js (in ~/.openclaw/agents/发布大师/workspace), `cd ~/.openclaw/agents/发布大师/workspace && node publish-DeepSeekV4超算.js 2>&1`"},{"toolName":"edit","meta":"in ~/.openclaw/agents/发布大师/workspace/publish-DeepSeekV4超算.js"},{"toolName":"exec","meta":"run node script publish-DeepSeekV4超算.js (in ~/.openclaw/agents/发布大师/workspace), `cd ~/.openclaw/agents/发布大师/workspace && node publish-DeepSeekV4超算.js 2>&1`"},{"toolName":"exec","meta":"show > → run const ENDPOINT → run const USERNAME → run const PASSWORD → run const BLOG_ID → run const client → run → run Try → run } else → run } → run return → run } → run }) → run script node (in ~/.openclaw/agents/发布大师/workspace), `cd ~/.openclaw/agents/发布大师/workspace && cat > test-zblog.js << 'SCRIPT' const xmlrpc = require('xmlrpc'); const END…`"},{"toolName":"web_fetch","meta":"from https://weixinsiwei.com/?id=9413 (mode text, max 500 chars)"}],"didSendViaMessagingTool":false,"successfulCronAdds":0,"messagingToolSentTexts":[],"messagingToolSentMediaUrls":[],"messagingToolSentTargets":[]}} {"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"1d123663-61af-4180-9081-b435e07298f8","source":"runtime","type":"session.ended","ts":"2026-04-24T12:17:20.189Z","seq":7,"sourceSeq":7,"sessionId":"1d123663-61af-4180-9081-b435e07298f8","sessionKey":"agent:fabu:subagent:0926288b-c5ec-48ce-b9e7-40273d0ee4fe","runId":"e1e69863-45ef-4c2b-93cb-c494b457eb70","workspaceDir":"/root/.openclaw/workspace/fabu","provider":"deepseek","modelId":"deepseek-chat","modelApi":"openai-completions","data":{"status":"success","aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false}}