{"type":"session","version":3,"id":"29319385-f899-44ed-90ec-2c130d54f128","timestamp":"2026-05-11T01:58:31.415Z","cwd":"/root/.openclaw/workspace/fabu"}
{"type":"model_change","id":"9eac2927","parentId":null,"timestamp":"2026-05-11T01:58:31.424Z","provider":"deepseek","modelId":"deepseek-chat"}
{"type":"thinking_level_change","id":"ae8b40c2","parentId":"9eac2927","timestamp":"2026-05-11T01:58:31.424Z","thinkingLevel":"off"}
{"type":"custom","customType":"model-snapshot","data":{"timestamp":1778464711454,"provider":"deepseek","modelApi":"openai-completions","modelId":"deepseek-chat"},"id":"e4c13dd9","parentId":"ae8b40c2","timestamp":"2026-05-11T01:58:31.454Z"}
{"type":"message","id":"d646e7d2","parentId":"e4c13dd9","timestamp":"2026-05-11T01:58:31.486Z","message":{"role":"user","content":[{"type":"text","text":"[Mon 2026-05-11 09:58 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\nBegin. Your assigned task is in the system prompt under **Your Role**; execute it to completion."}],"timestamp":1778464711462}}
{"type":"message","id":"190843cd","parentId":"d646e7d2","timestamp":"2026-05-11T01:58:36.515Z","message":{"role":"assistant","content":[{"type":"text","text":"I'll start by reading the article file and understanding what needs to be done."},{"type":"toolCall","id":"call_00_JuDV5cOLPBXvH98cvr5r5015","name":"read","arguments":{"path":"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/HermesAgent登顶OpenRouter-20250511-v1.md"}},{"type":"toolCall","id":"call_01_hR3NivOQZG0nSBbggFvo7689","name":"exec","arguments":{"command":"ls /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/"}},{"type":"toolCall","id":"call_02_KhErE3QE00wtloIj2hTX1645","name":"exec","arguments":{"command":"ls /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":4823,"output":206,"cacheRead":7168,"cacheWrite":0,"totalTokens":12197,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464711487,"responseId":"c311bc37-b613-4bb4-8f9e-624899d30923"}}
{"type":"message","id":"822a8aaa","parentId":"190843cd","timestamp":"2026-05-11T01:58:36.696Z","message":{"role":"toolResult","toolCallId":"call_00_JuDV5cOLPBXvH98cvr5r5015","toolName":"read","content":[{"type":"text","text":"# 开源AI Agent「Hermes」登顶全球AI应用排行榜：自进化才是未来\n\n2710亿 Token，单日。\n\n这不是某家大厂的API调用量，也不是闭源巨头的内部消耗——这是一个开源项目的成绩单。Nous Research 旗下的开源自进化 Agent「Hermes」，日前以单日 271B Token 的调用量登顶 OpenRouter 全球应用 Token 消耗排行榜，把 OpenClaw、Kilo Code、Claude Code 等一众明星项目甩在身后。\n\n更让人玩味的是，Hermes 本月调用量排名前五的模型分别是：小米 MiMo-V2-Pro、MiniMax M2.7、英伟达 Nemotron 3 Super、阶跃 Step 3.5 Flash、腾讯 Hy3 preview——没有一个来自 OpenAI 或 Anthropic。全球开发者正在用实际行动投票，而票选的结果是个开源 Agent。\n\n## 为什么是 Hermes？\n\nAI Agent 赛道拥挤已不是新闻。从 AutoGPT 到 Devin，从 Claude Code 到各种 Copilot，叫得上名字的 Agent 项目少说几十个。Hermes 凭什么杀出重围？\n\n答案藏在两个关键词里：**持久记忆**与**自我学习机制**。\n\n大多数 Agent 是 \"一次性\" 的——你给一个任务，它执行完就忘了，下次对话一切重来。Hermes 的设计哲学完全不同：它保留了对话的连续性，能记住你是谁、你做过什么、你的偏好和习惯。每次交互都在积累上下文，下次对话时它会主动复用这些经验。\n\n听起来简单？实现起来极难。持久记忆意味着 Agent 需要判断什么值得记、什么该忘、什么时候该主动召回——这本质上是在模拟人类的认知过程。\n\n更关键的是自我学习。Hermes 不满足于被动执行指令，它能从每次交互中提炼模式，调整自己的行为策略。今天回答不好的问题，明天会更好。这不是靠工程师改代码，而是 Agent 自己在运行时完成的自适应进化。\n\n正是这套\"越用越聪明\"的机制，让开发者愿意把大量任务交给它。271B Token 的背后，不是营销造势，是实打实的用户粘性。\n\n## 271B Token 意味着什么\n\nOpenRouter 是全球最大的多模型聚合平台之一，Token 消耗是衡量一个应用真实使用量的硬指标。Hermes 登顶这件事，有几个值得拆解的信号：\n\n**第一，开源 Agent 已具备规模化商用能力。** 271B Token 不是实验室数据，是生产环境的真实载荷。这说明开源项目不再只是\"玩具\"或\"概念验证\"，它们正在吞噬商业产品的用户量。\n\n**第二，模型多元化不再是口号。** Hermes 的调用排行榜是中国厂商的集体亮相。小米、MiniMax、阶跃星辰、腾讯——这些名字在几个月前还被认为是\"追赶者\"，现在却成了全球 Top 5 Agent 的主力模型提供商。开发者选择模型的标准已经从\"谁的品牌响\"变成了\"谁实际跑得好\"。\n\n**第三，Agent 层的价值在放大。** 当模型能力趋同，竞争焦点正从模型本身向上迁移到 Agent 层。谁能让模型更聪明、更有记忆、更易用，谁就掌握了下半场的门票。Hermes 证明了：Agent 框架可以成为比底层模型更强的护城河。\n\n## 对国内 AI 生态的直接影响\n\nHermes 的崛起对国内 AI 生态有一个非常具体的意义：它已适配阿里云、腾讯云、华为云以及微信、飞书等主流平台。\n\n这就意味着，开发者可以在国内的基础设施上跑 Hermes，用国产模型作为推理引擎，落地到微信和飞书这些日常办公场景中。Agent 的记忆、学习、进化和国产化部署，这一整套链路已经跑通。\n\n对于正在做 AI 应用落地的团队来说，这是一个值得关注的方向——基于开源 Agent 框架 + 国产模型 + 国内平台，构建自己的智能助手或自动化工作流。不必从零开始写 Agent 框架，也不依赖海外模型服务，技术路径非常清晰。\n\n## 14 万 GitHub 星标背后的启示\n\nHermes 的 GitHub 星标已经突破 14 万。这个数字本身就能说明问题——社区热度不是花钱能买来的，它是开发者真实需求的映射。\n\n说几点务实的判断：\n\n**Agent 的可成长性是下一场争夺战的核心。** \"开箱即用\"已经不够了，用户要的是\"越用越好用\"。任何 AI 产品，如果下一次使用和第一次使用没有任何区别，就可能在一两年内被有记忆、能学习的 Agent 淘汰。\n\n**开源正在重新定义 AI 的价值分布。** 闭源模型的价值在被开源快速压缩。模型越来越像 commodity（商品），而数据、记忆和个性化的 Agent 体验才是真正的壁垒。\n\n**适配比性能更重要。** Hermes 之所以能冲上榜首，不是因为它的底层模型最强，而是因为它让开发者能用最方便的方式接入。对于创业团队来说，与其花大力气训练一个更好的模型，不如把精力花在让现有模型跑得更聪明、更顺手。\n\nGitHub 上 14 万星标不是终点。271B 单日 Token 也不是。Hermes 之所以引人关注，不是因为它的技术有多超前，而是因为它指向了一个更本质的问题：AI 产品的核心竞争力到底是什么？\n\n答案或许是——它不是模型参数，不是推理速度，不是你用了哪种架构。而是它能不能对你真正有用，并且越来越有用。\n\nHermes 用数据证明了一件事：**用户会用脚投票。而他们投的方向，是真正能学习和成长的产品。**\n"}],"isError":false,"timestamp":1778464716695}}
{"type":"message","id":"e66ff693","parentId":"822a8aaa","timestamp":"2026-05-11T01:58:36.696Z","message":{"role":"toolResult","toolCallId":"call_01_hR3NivOQZG0nSBbggFvo7689","toolName":"exec","content":[{"type":"text","text":"cover-hermes.jpg\ncover.jpg"}],"details":{"status":"completed","exitCode":0,"durationMs":40,"aggregated":"cover-hermes.jpg\ncover.jpg","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464716695}}
{"type":"message","id":"309932d7","parentId":"e66ff693","timestamp":"2026-05-11T01:58:36.696Z","message":{"role":"toolResult","toolCallId":"call_02_KhErE3QE00wtloIj2hTX1645","toolName":"exec","content":[{"type":"text","text":"ai输出用HTML取代Markdown-20250511-v1.md\nHermesAgent登顶OpenRouter-20250511-v1.md\nHermesAgent登顶OpenRouter-短视频逐字稿-20250511.md\nimgs"}],"details":{"status":"completed","exitCode":0,"durationMs":78,"aggregated":"ai输出用HTML取代Markdown-20250511-v1.md\nHermesAgent登顶OpenRouter-20250511-v1.md\nHermesAgent登顶OpenRouter-短视频逐字稿-20250511.md\nimgs","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464716696}}
{"type":"message","id":"d199fd25","parentId":"309932d7","timestamp":"2026-05-11T01:58:40.460Z","message":{"role":"assistant","content":[{"type":"text","text":"Good, I have the article content and can see the necessary files. Let me now check the availability of the tools I need."},{"type":"toolCall","id":"call_00_JhDMzdagR7m9MgiLqTI13337","name":"exec","arguments":{"command":"ls /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-hermes.jpg"}},{"type":"toolCall","id":"call_01_NVuAn6E9KhVqQ9xkkWOj3031","name":"exec","arguments":{"command":"which bun && bun --version"}},{"type":"toolCall","id":"call_02_WXtwY3RxcYeHLcWmMW0q5963","name":"exec","arguments":{"command":"which python3 && python3 --version"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":1546,"output":169,"cacheRead":11904,"cacheWrite":0,"totalTokens":13619,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464716697,"responseId":"d4385b70-f44a-48dd-abe8-717ffc57d6a5"}}
{"type":"message","id":"f53e56a9","parentId":"d199fd25","timestamp":"2026-05-11T01:58:40.722Z","message":{"role":"toolResult","toolCallId":"call_00_JhDMzdagR7m9MgiLqTI13337","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-hermes.jpg"}],"details":{"status":"completed","exitCode":0,"durationMs":92,"aggregated":"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-hermes.jpg","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464720722}}
{"type":"message","id":"4a949d1d","parentId":"f53e56a9","timestamp":"2026-05-11T01:58:40.722Z","message":{"role":"toolResult","toolCallId":"call_01_NVuAn6E9KhVqQ9xkkWOj3031","toolName":"exec","content":[{"type":"text","text":"/root/.bun/bin/bun\n1.3.11"}],"details":{"status":"completed","exitCode":0,"durationMs":180,"aggregated":"/root/.bun/bin/bun\n1.3.11","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464720722}}
{"type":"message","id":"0aad7a11","parentId":"4a949d1d","timestamp":"2026-05-11T01:58:40.722Z","message":{"role":"toolResult","toolCallId":"call_02_WXtwY3RxcYeHLcWmMW0q5963","toolName":"exec","content":[{"type":"text","text":"/usr/bin/python3\nPython 3.12.3"}],"details":{"status":"completed","exitCode":0,"durationMs":154,"aggregated":"/usr/bin/python3\nPython 3.12.3","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464720722}}
{"type":"message","id":"1d873e42","parentId":"0aad7a11","timestamp":"2026-05-11T01:58:44.502Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me check the wechat-api.ts script and md2html.py exist:"},{"type":"toolCall","id":"call_00_EEOACTLQKLQHL8tLzTPZ1119","name":"exec","arguments":{"command":"ls -la skills/baoyu-post-to-wechat/scripts/wechat-api.ts 2>/dev/null || find /root/.openclaw -path \"*/baoyu-post-to-wechat/scripts/wechat-api.ts\" 2>/dev/null"}},{"type":"toolCall","id":"call_01_2rih4jpf4lW2Z4ptd7yh5323","name":"exec","arguments":{"command":"ls -la /root/.openclaw/agents/发布大师/workspace/scripts/md2html.py 2>/dev/null || find /root -name \"md2html.py\" 2>/dev/null"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":135,"output":187,"cacheRead":13568,"cacheWrite":0,"totalTokens":13890,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464720723,"responseId":"179958e5-3d91-483e-9b26-c4ce1b2c354f"}}
{"type":"message","id":"9ed3d686","parentId":"1d873e42","timestamp":"2026-05-11T01:58:51.202Z","message":{"role":"toolResult","toolCallId":"call_00_EEOACTLQKLQHL8tLzTPZ1119","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts"}],"details":{"status":"completed","exitCode":0,"durationMs":6633,"aggregated":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464731202}}
{"type":"message","id":"83228aa4","parentId":"9ed3d686","timestamp":"2026-05-11T01:58:51.202Z","message":{"role":"toolResult","toolCallId":"call_01_2rih4jpf4lW2Z4ptd7yh5323","toolName":"exec","content":[{"type":"text","text":"-rw-r--r-- 1 root root 2599 Apr 29 19:05 /root/.openclaw/agents/发布大师/workspace/scripts/md2html.py"}],"details":{"status":"completed","exitCode":0,"durationMs":63,"aggregated":"-rw-r--r-- 1 root root 2599 Apr 29 19:05 /root/.openclaw/agents/发布大师/workspace/scripts/md2html.py","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464731202}}
{"type":"message","id":"29d547d9","parentId":"83228aa4","timestamp":"2026-05-11T01:58:55.717Z","message":{"role":"assistant","content":[{"type":"text","text":"Let me check the wechat-api.ts script to understand its commands and how it works:"},{"type":"toolCall","id":"call_00_bfzheJHPjz2N2lqW0SJc3787","name":"read","arguments":{"path":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts"}},{"type":"toolCall","id":"call_01_rSwsKrUVZIH7iX2bOmgX4614","name":"read","arguments":{"path":"/root/.openclaw/agents/发布大师/workspace/scripts/md2html.py"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":156,"output":138,"cacheRead":13824,"cacheWrite":0,"totalTokens":14118,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464731203,"responseId":"4baa136a-3e73-4c18-94e4-bef30b283d51"}}
{"type":"message","id":"1ca7954d","parentId":"29d547d9","timestamp":"2026-05-11T01:58:55.803Z","message":{"role":"toolResult","toolCallId":"call_00_bfzheJHPjz2N2lqW0SJc3787","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<string> {\n  const url = `${TOKEN_URL}?grant_type=client_credential&appid=${appId}&secret=***\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<UploadResponse> {\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: ${resolvedPath}`);\n    }\n    fileBuffer = fs.readFileSync(resolvedPath);\n    filename = path.basename(resolvedPath);\n    const ext = path.extname(filename).toLowerCase();\n    const mimeTypes: Record<string, string> = {\n      \".jpg\": \"image/jpeg\",\n      \".jpeg\": \"image/jpeg\",\n      \".png\": \"image/png\",\n      \".gif\": \"image/gif\",\n      \".webp\": \"image/webp\",\n    };\n    contentType = mimeTypes[ext] || \"image/jpeg\";\n  }\n\n  const boundary = `----WebKitFormBoundary${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 = `${UPLOAD_URL}?access_token=***&type=image`;\n  const res = await fetch(url, {\n    method: \"POST\",\n    headers: {\n      \"Content-Type\": `multipart/form-data; boundary=${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 = /<img[^>]*\\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<string, UploadResponse>();\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: ${imagePath}`);\n\n    try {\n      let resp = uploadedBySource.get(imagePath);\n      if (!resp) {\n        resp = await uploadImage(imagePath, accessToken, baseDir);\n        uploadedBySource.set(imagePath, resp);\n      }\n\n      const replacementTag = `<img src=\"${resp.url}\" style=\"display: block; width: 100%; margin: 1.5em auto;\">`;\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 ${image.placeholder}:`, err);\n    }\n  }\n\n  return { html: updatedHtml, firstMediaId, allMediaIds };\n}\n\nasync function publishToDraft(\n  options: ArticleOptions,\n  accessToken: string\n): Promise<PublishResponse> {\n  const url = `${DRAFT_URL}?access_token=***\n\n  let article: Record<string, unknown>;\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}: ${data.errmsg}`);\n  }\n\n  return data;\n}\n\nfunction parseFrontmatter(content: string): { frontmatter: Record<string, string>; body: string } {\n  const match = content.match(/^\\s*---\\r?\\n([\\s\\S]*?)\\r?\\n---\\r?\\n?([\\s\\S]*)$/);\n  if (!match) return { frontmatter: {}, body: content };\n\n  const frontmatter: Record<string, string> = {};\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(/<div id=\"output\">([\\s\\S]*?)<\\/div>\\s*<\\/body>/);\n  if (match) {\n    return match[1]!.trim();\n  }\n  const bodyMatch = html.match(/<body[^>]*>([\\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 <file> [options]\n\nArguments:\n  file                Markdown (.md) or HTML (.html) file\n\nOptions:\n  --type <type>       Article type: news (文章, default) or newspic (图文)\n  --title <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\n⚠️ [... middle content omitted — showing head and tail ...]\n\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[... 5641 more characters truncated]"}],"isError":false,"timestamp":1778464735802}}
{"type":"message","id":"487257ce","parentId":"1ca7954d","timestamp":"2026-05-11T01:58:55.803Z","message":{"role":"toolResult","toolCallId":"call_01_rSwsKrUVZIH7iX2bOmgX4614","toolName":"read","content":[{"type":"text","text":"#!/usr/bin/env python3\n\"\"\"将 Markdown 转换为 HTML，处理前端元数据 (front-matter)\"\"\"\n\nimport sys\nimport re\nimport markdown\n\ndef strip_frontmatter(text):\n    \"\"\"去掉 YAML front-matter (--- ... ---)，返回 (标题行号偏移, 纯markdown内容)\"\"\"\n    lines = text.split('\\n')\n    if lines and lines[0].strip() == '---':\n        end = -1\n        for i in range(1, len(lines)):\n            if lines[i].strip() == '---':\n                end = i\n                break\n        if end > 0:\n            # 去掉 front-matter\n            new_lines = lines[end+1:]\n            # 如果去掉前导空行\n            while new_lines and new_lines[0].strip() == '':\n                new_lines = new_lines[1:]\n            return '\\n'.join(new_lines)\n    return text\n\ndef extract_title(md_text):\n    \"\"\"从 markdown 中提取第一个 # 标题\"\"\"\n    for line in md_text.split('\\n'):\n        if line.startswith('# '):\n            return line[2:].strip()\n    return None\n\ndef md_to_html(md_text):\n    \"\"\"转换 markdown 为完整 HTML\"\"\"\n    # 转换为 HTML\n    html = markdown.markdown(\n        md_text,\n        extensions=['extra', 'codehilite', 'toc'],\n        output_format='html5'\n    )\n    return html\n\ndef main():\n    import argparse\n    \n    parser = argparse.ArgumentParser(description='Convert Markdown to HTML for Z-Blog/WordPress')\n    parser.add_argument('input', help='Input markdown file')\n    parser.add_argument('--output', '-o', help='Output HTML file (default: stdout)')\n    parser.add_argument('--title-only', action='store_true', help='Only extract title')\n    \n    args = parser.parse_args()\n    \n    with open(args.input, 'r', encoding='utf-8') as f:\n        raw = f.read()\n    \n    # 去掉 front-matter\n    md_text = strip_frontmatter(raw)\n    \n    if args.title_only:\n        title = extract_title(md_text)\n        if title:\n            print(title)\n        return\n    \n    title = extract_title(md_text)\n    \n    # 去掉第一个 # 标题行（html中不再重复）\n    body_lines = md_text.split('\\n')\n    if body_lines and body_lines[0].startswith('# '):\n        body_lines = body_lines[1:]\n    body_md = '\\n'.join(body_lines).strip()\n    \n    html_body = md_to_html(body_md)\n    \n    # 构建完整 HTML\n    full_html = f\"\"\"<h1>{title}</h1>\n{html_body}\n\"\"\"\n    \n    if args.output:\n        with open(args.output, 'w', encoding='utf-8') as f:\n            f.write(full_html)\n        print(f'HTML 已保存到: {args.output}', file=sys.stderr)\n        print(f'标题: {title}', file=sys.stderr)\n    else:\n        print(full_html)\n\nif __name__ == '__main__':\n    main()\n"}],"isError":false,"timestamp":1778464735802}}
{"type":"message","id":"626f92bc","parentId":"487257ce","timestamp":"2026-05-11T01:58:58.228Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me check the wechat-extend-config to understand credential loading:"},{"type":"toolCall","id":"call_00_Fy8vs4OIeT2m5QRZpGy79168","name":"exec","arguments":{"command":"ls /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-extend-config.ts 2>/dev/null"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":6692,"output":94,"cacheRead":14080,"cacheWrite":0,"totalTokens":20866,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464735804,"responseId":"a01affcd-c400-4281-a206-13c29032f9e6"}}
{"type":"message","id":"18535fc0","parentId":"626f92bc","timestamp":"2026-05-11T01:58:58.310Z","message":{"role":"toolResult","toolCallId":"call_00_Fy8vs4OIeT2m5QRZpGy79168","toolName":"exec","content":[{"type":"text","text":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-extend-config.ts"}],"details":{"status":"completed","exitCode":0,"durationMs":38,"aggregated":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-extend-config.ts","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464738310}}
{"type":"message","id":"f663e826","parentId":"18535fc0","timestamp":"2026-05-11T01:59:00.007Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_7FEb65f9qMNB9UVhUFZW2821","name":"read","arguments":{"path":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-extend-config.ts"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":46,"output":74,"cacheRead":20864,"cacheWrite":0,"totalTokens":20984,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464738311,"responseId":"72fce4d5-3572-4fd6-b1b6-f36b7e6790fa"}}
{"type":"message","id":"e55a6ef2","parentId":"f663e826","timestamp":"2026-05-11T01:59:00.064Z","message":{"role":"toolResult","toolCallId":"call_00_7FEb65f9qMNB9UVhUFZW2821","toolName":"read","content":[{"type":"text","text":"import fs from \"node:fs\";\nimport path from \"node:path\";\nimport os from \"node:os\";\n\nexport interface WechatAccount {\n  name: string;\n  alias: string;\n  default?: boolean;\n  default_publish_method?: string;\n  default_author?: string;\n  need_open_comment?: number;\n  only_fans_can_comment?: number;\n  app_id?: string;\n  app_secret?: string;\n  chrome_profile_path?: string;\n}\n\nexport interface WechatExtendConfig {\n  default_theme?: string;\n  default_color?: string;\n  default_publish_method?: string;\n  default_author?: string;\n  need_open_comment?: number;\n  only_fans_can_comment?: number;\n  chrome_profile_path?: string;\n  accounts?: WechatAccount[];\n}\n\nexport interface ResolvedAccount {\n  name?: string;\n  alias?: string;\n  default_publish_method?: string;\n  default_author?: string;\n  need_open_comment: number;\n  only_fans_can_comment: number;\n  app_id?: string;\n  app_secret?: string;\n  chrome_profile_path?: string;\n}\n\nfunction stripQuotes(s: string): string {\n  return s.replace(/^['\"]|['\"]$/g, \"\");\n}\n\nfunction toBool01(v: string): number {\n  return v === \"1\" || v === \"true\" ? 1 : 0;\n}\n\nfunction parseWechatExtend(content: string): WechatExtendConfig {\n  const config: WechatExtendConfig = {};\n  const lines = content.split(\"\\n\");\n  let inAccounts = false;\n  let current: Record<string, string> | null = null;\n  const rawAccounts: Record<string, string>[] = [];\n\n  for (const raw of lines) {\n    const trimmed = raw.trim();\n    if (!trimmed || trimmed.startsWith(\"#\")) continue;\n\n    if (trimmed === \"accounts:\") {\n      inAccounts = true;\n      continue;\n    }\n\n    if (inAccounts) {\n      const listMatch = raw.match(/^\\s+-\\s+(.+)$/);\n      if (listMatch) {\n        if (current) rawAccounts.push(current);\n        current = {};\n        const kv = listMatch[1]!;\n        const ci = kv.indexOf(\":\");\n        if (ci > 0) {\n          current[kv.slice(0, ci).trim()] = stripQuotes(kv.slice(ci + 1).trim());\n        }\n        continue;\n      }\n\n      if (current && /^\\s{2,}/.test(raw) && !trimmed.startsWith(\"-\")) {\n        const ci = trimmed.indexOf(\":\");\n        if (ci > 0) {\n          current[trimmed.slice(0, ci).trim()] = stripQuotes(trimmed.slice(ci + 1).trim());\n        }\n        continue;\n      }\n\n      if (!/^\\s/.test(raw)) {\n        if (current) rawAccounts.push(current);\n        current = null;\n        inAccounts = false;\n      } else {\n        continue;\n      }\n    }\n\n    const ci = trimmed.indexOf(\":\");\n    if (ci < 0) continue;\n    const key = trimmed.slice(0, ci).trim();\n    const val = stripQuotes(trimmed.slice(ci + 1).trim());\n    if (val === \"null\" || val === \"\") continue;\n\n    switch (key) {\n      case \"default_theme\": config.default_theme = val; break;\n      case \"default_color\": config.default_color = val; break;\n      case \"default_publish_method\": config.default_publish_method = val; break;\n      case \"default_author\": config.default_author = val; break;\n      case \"need_open_comment\": config.need_open_comment = toBool01(val); break;\n      case \"only_fans_can_comment\": config.only_fans_can_comment = toBool01(val); break;\n      case \"chrome_profile_path\": config.chrome_profile_path = val; break;\n    }\n  }\n\n  if (current) rawAccounts.push(current);\n\n  if (rawAccounts.length > 0) {\n    config.accounts = rawAccounts.map(a => ({\n      name: a.name || \"\",\n      alias: a.alias || \"\",\n      default: a.default === \"true\" || a.default === \"1\",\n      default_publish_method: a.default_publish_method || undefined,\n      default_author: a.default_author || undefined,\n      need_open_comment: a.need_open_comment ? toBool01(a.need_open_comment) : undefined,\n      only_fans_can_comment: a.only_fans_can_comment ? toBool01(a.only_fans_can_comment) : undefined,\n      app_id: a.app_id || undefined,\n      app_secret: a.app_secret || undefined,\n      chrome_profile_path: a.chrome_profile_path || undefined,\n    }));\n  }\n\n  return config;\n}\n\nexport function loadWechatExtendConfig(): WechatExtendConfig {\n  const paths = [\n    path.join(process.cwd(), \".baoyu-skills\", \"baoyu-post-to-wechat\", \"EXTEND.md\"),\n    path.join(\n      process.env.XDG_CONFIG_HOME || path.join(os.homedir(), \".config\"),\n      \"baoyu-skills\", \"baoyu-post-to-wechat\", \"EXTEND.md\"\n    ),\n    path.join(os.homedir(), \".baoyu-skills\", \"baoyu-post-to-wechat\", \"EXTEND.md\"),\n  ];\n  for (const p of paths) {\n    try {\n      const content = fs.readFileSync(p, \"utf-8\");\n      return parseWechatExtend(content);\n    } catch {\n      continue;\n    }\n  }\n  return {};\n}\n\nfunction selectAccount(config: WechatExtendConfig, alias?: string): WechatAccount | undefined {\n  if (!config.accounts || config.accounts.length === 0) return undefined;\n  if (alias) return config.accounts.find(a => a.alias === alias);\n  if (config.accounts.length === 1) return config.accounts[0];\n  return config.accounts.find(a => a.default);\n}\n\nexport function resolveAccount(config: WechatExtendConfig, alias?: string): ResolvedAccount {\n  const acct = selectAccount(config, alias);\n  return {\n    name: acct?.name,\n    alias: acct?.alias,\n    default_publish_method: acct?.default_publish_method ?? config.default_publish_method,\n    default_author: acct?.default_author ?? config.default_author,\n    need_open_comment: acct?.need_open_comment ?? config.need_open_comment ?? 1,\n    only_fans_can_comment: acct?.only_fans_can_comment ?? config.only_fans_can_comment ?? 0,\n    app_id: acct?.app_id,\n    app_secret: acct?.app_secret,\n    chrome_profile_path: acct?.chrome_profile_path ?? config.chrome_profile_path,\n  };\n}\n\nfunction loadEnvFile(envPath: string): Record<string, string> {\n  const env: Record<string, string> = {};\n  if (!fs.existsSync(envPath)) return env;\n  const content = fs.readFileSync(envPath, \"utf-8\");\n  for (const line of content.split(\"\\n\")) {\n    const trimmed = line.trim();\n    if (!trimmed || trimmed.startsWith(\"#\")) continue;\n    const eqIdx = trimmed.indexOf(\"=\");\n    if (eqIdx > 0) {\n      const key = trimmed.slice(0, eqIdx).trim();\n      let value = trimmed.slice(eqIdx + 1).trim();\n      if ((value.startsWith('\"') && value.endsWith('\"')) ||\n          (value.startsWith(\"'\") && value.endsWith(\"'\"))) {\n        value = value.slice(1, -1);\n      }\n      env[key] = value;\n    }\n  }\n  return env;\n}\n\nfunction aliasToEnvKey(alias: string): string {\n  return alias.toUpperCase().replace(/-/g, \"_\");\n}\n\nexport function loadCredentials(account?: ResolvedAccount): { appId: string; appSecret: string } {\n  if (account?.app_id && account?.app_secret) {\n    return { appId: account.app_id, appSecret: account.app_secret };\n  }\n\n  const cwdEnvPath = path.join(process.cwd(), \".baoyu-skills\", \".env\");\n  const homeEnvPath = path.join(os.homedir(), \".baoyu-skills\", \".env\");\n  const cwdEnv = loadEnvFile(cwdEnvPath);\n  const homeEnv = loadEnvFile(homeEnvPath);\n\n  const prefix = account?.alias ? `WECHAT_${aliasToEnvKey(account.alias)}_` : \"\";\n\n  let appId = \"\";\n  let appSecret = \"\";\n\n  if (prefix) {\n    appId = process.env[`${prefix}APP_ID`]\n      || cwdEnv[`${prefix}APP_ID`]\n      || homeEnv[`${prefix}APP_ID`]\n      || \"\";\n    appSecret = process.env[`${prefix}APP_SECRET`]\n      || cwdEnv[`${prefix}APP_SECRET`]\n      || homeEnv[`${prefix}APP_SECRET`]\n      || \"\";\n  }\n\n  if (!appId) {\n    appId = process.env.WECHAT_APP_ID || cwdEnv.WECHAT_APP_ID || homeEnv.WECHAT_APP_ID || \"\";\n  }\n  if (!appSecret) {\n    appSecret = process.env.WECHAT_APP_SECRET || cwdEnv.WECHAT_APP_SECRET || homeEnv.WECHAT_APP_SECRET || \"\";\n  }\n\n  if (!appId || !appSecret) {\n    const hint = account?.alias ? ` (account: ${account.alias})` : \"\";\n    throw new Error(\n      `Missing WECHAT_APP_ID or WECHAT_APP_SECRET${hint}.\\n` +\n      \"Set via EXTEND.md account config, environment variables, or .baoyu-skills/.env file.\"\n    );\n  }\n\n  return { appId, appSecret };\n}\n\nexport function listAccounts(config: WechatExtendConfig): string[] {\n  return (config.accounts || []).map(a => a.alias);\n}\n"}],"isError":false,"timestamp":1778464740064}}
{"type":"message","id":"88e1a65e","parentId":"e55a6ef2","timestamp":"2026-05-11T01:59:05.159Z","message":{"role":"assistant","content":[{"type":"text","text":"Now I understand the system. The wechat-api.ts can load credentials from EXTEND.md account config, environment variables, or .env file. Since the task says to use the provided APP_ID and APP_SECRET directly, I'll pass them as environment variables.\n\nLet me start with **Task 1: 公众号发布**. I'll set the env vars and run the command:"},{"type":"toolCall","id":"call_00_GqBx3cU4dsQrqauoAVIT5050","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/101/workspace && WECHAT_APP_ID=wx88b0cf376e0386c4 WECHAT_APP_SECRET=b2d47ee298204c28cf82549d2798192f bun skills/baoyu-post-to-wechat/scripts/wechat-api.ts \"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/HermesAgent登顶OpenRouter-20250511-v1.md\" --theme default --color blue --author \"ai张三疯\" --cover \"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-hermes.jpg\" 2>&1","timeout":120,"yieldMs":30000}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":2354,"output":319,"cacheRead":20864,"cacheWrite":0,"totalTokens":23537,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464740065,"responseId":"846dbe4e-2e7c-487b-a5c6-701cdb46ccbb"}}
{"type":"message","id":"4fd8b538","parentId":"88e1a65e","timestamp":"2026-05-11T01:59:13.223Z","message":{"role":"toolResult","toolCallId":"call_00_GqBx3cU4dsQrqauoAVIT5050","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-FUg1km/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: 开源AI Agent「Hermes」登顶全球AI应用排行榜：自进化才是未来\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 这不是某家大厂的API调用量，也不是闭源巨头的内部消耗——这是一个开源项目的成绩单。Nous Res...\n[wechat-api] Type: news\n[wechat-api] Fetching access token...\n[wechat-api] Uploading images...\n[wechat-api] Uploading cover: /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-hermes.jpg\n[wechat-api] Publishing to draft...\n{\n  \"success\": true,\n  \"media_id\": \"imBwNhfy9Uv4ps2luE5gfqafGN_uRzn1eN1oUlEv-xZUSpTZoGAL6weHrxQNi76F\",\n  \"title\": \"开源AI Agent「Hermes」登顶全球AI应用排行榜：自进化才是未来\",\n  \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gfqafGN_uRzn1eN1oUlEv-xZUSpTZoGAL6weHrxQNi76F"}],"details":{"status":"completed","exitCode":0,"durationMs":8021,"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-FUg1km/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: 开源AI Agent「Hermes」登顶全球AI应用排行榜：自进化才是未来\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 这不是某家大厂的API调用量，也不是闭源巨头的内部消耗——这是一个开源项目的成绩单。Nous Res...\n[wechat-api] Type: news\n[wechat-api] Fetching access token...\n[wechat-api] Uploading images...\n[wechat-api] Uploading cover: /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover-hermes.jpg\n[wechat-api] Publishing to draft...\n{\n  \"success\": true,\n  \"media_id\": \"imBwNhfy9Uv4ps2luE5gfqafGN_uRzn1eN1oUlEv-xZUSpTZoGAL6weHrxQNi76F\",\n  \"title\": \"开源AI Agent「Hermes」登顶全球AI应用排行榜：自进化才是未来\",\n  \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gfqafGN_uRzn1eN1oUlEv-xZUSpTZoGAL6weHrxQNi76F","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464753222}}
{"type":"message","id":"2e8a58a8","parentId":"4fd8b538","timestamp":"2026-05-11T01:59:16.190Z","message":{"role":"assistant","content":[{"type":"text","text":"公众号发布成功！现在验证草稿箱："},{"type":"toolCall","id":"call_00_ukdTcCRWMsRrfQzOXGRa2115","name":"exec","arguments":{"command":"curl -s \"https://api.weixin.qq.com/cgi-bin/token?grant_type=client_credential&appid=wx88b0cf376e0386c4&secret=b2d47ee298204c28cf82549d2798192f\" | python3 -c \"import sys,json; d=json.load(sys.stdin); print(d.get('access_token','ERROR: '+d.get('errmsg','')))\""}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":503,"output":148,"cacheRead":23424,"cacheWrite":0,"totalTokens":24075,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464753224,"responseId":"63e374ad-cbab-4a34-9613-4f2bb7e7528b"}}
{"type":"message","id":"8a6cc725","parentId":"2e8a58a8","timestamp":"2026-05-11T01:59:16.819Z","message":{"role":"toolResult","toolCallId":"call_00_ukdTcCRWMsRrfQzOXGRa2115","toolName":"exec","content":[{"type":"text","text":"103_qPXuloKGnubpp6lz-KCX4snX24NC0VhugW-cTwznqS9i_KEQZgr82z3GE79beNh2KbSgUGVc99N8IeYvo-eG-Szyx2cFOG87RFIDOd1Oz3s76-HzOHtiEJc-JIoYBEjABAJMP"}],"details":{"status":"completed","exitCode":0,"durationMs":586,"aggregated":"103_qPXuloKGnubpp6lz-KCX4snX24NC0VhugW-cTwznqS9i_KEQZgr82z3GE79beNh2KbSgUGVc99N8IeYvo-eG-Szyx2cFOG87RFIDOd1Oz3s76-HzOHtiEJc-JIoYBEjABAJMP","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464756819}}
{"type":"message","id":"af05efbb","parentId":"8a6cc725","timestamp":"2026-05-11T01:59:20.694Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_O3THewcAJYqWyqVWbWq57464","name":"exec","arguments":{"command":"ACCESS_TOKEN=\"103_qPXuloKGnubpp6lz-KCX4snX24NC0VhugW-cTwznqS9i_KEQZgr82z3GE79beNh2KbSgUGVc99N8IeYvo-eG-Szyx2cFOG87RFIDOd1Oz3s76-HzOHtiEJc-JIoYBEjABAJMP\"\ncurl -s \"https://api.weixin.qq.com/cgi-bin/draft/get?access_token=${ACCESS_TOKEN}\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"media_id\":\"imBwNhfy9Uv4ps2luE5gfqafGN_uRzn1eN1oUlEv-xZUSpTZoGAL6weHrxQNi76F\"}' | python3 -m json.tool"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":112,"output":233,"cacheRead":24064,"cacheWrite":0,"totalTokens":24409,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464756820,"responseId":"06710d87-adbb-4f04-925b-6e0b7a038bc0"}}
{"type":"message","id":"4e311f88","parentId":"af05efbb","timestamp":"2026-05-11T01:59:21.374Z","message":{"role":"toolResult","toolCallId":"call_00_O3THewcAJYqWyqVWbWq57464","toolName":"exec","content":[{"type":"text","text":"{\n    \"news_item\": [\n        {\n            \"title\": \"\\u5f00\\u6e90AI Agent\\u300cHermes\\u300d\\u767b\\u9876\\u5168\\u7403AI\\u5e94\\u7528\\u6392\\u884c\\u699c\\uff1a\\u81ea\\u8fdb\\u5316\\u624d\\u662f\\u672a\\u6765\",\n            \"author\": \"ai\\u5f20\\u4e09\\u75af\",\n            \"digest\": \"\\u8fd9\\u4e0d\\u662f\\u67d0\\u5bb6\\u5927\\u5382\\u7684API\\u8c03\\u7528\\u91cf\\uff0c\\u4e5f\\u4e0d\\u662f\\u95ed\\u6e90\\u5de8\\u5934\\u7684\\u5185\\u90e8\\u6d88\\u8017\\u2014\\u2014\\u8fd9\\u662f\\u4e00\\u4e2a\\u5f00\\u6e90\\u9879\\u76ee\\u7684\\u6210\\u7ee9\\u5355\\u3002Nous Research \\u65d7\\u4e0b\\u7684\\u5f00\\u6e90\\u81ea\\u8fdb\\u5316 Agent\\u300cHermes\\u300d\\uff0c\\u65e5\\u524d\\u4ee5\\u5355\\u65e5 271B Token \\u7684\\u8c03\\u7528\\u91cf\\u767b\\u9876 OpenRouter \\u5168\\u7403\\u5e94...\",\n            \"content\": \"<section class=\\\"container\\\" style=\\\"font-family: -apple-system-font,BlinkMacSystemFont, Helvetica Neue, PingFang SC, Hiragino Sans GB , Microsoft YaHei UI , Microsoft YaHei ,Arial,sans-serif; font-size: 16px; line-height: 1.75; text-align: left;\\\"><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f; margin-top: 0 !important;\\\">2710\\u4ebf Token\\uff0c\\u5355\\u65e5\\u3002</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">\\u8fd9\\u4e0d\\u662f\\u67d0\\u5bb6\\u5927\\u5382\\u7684API\\u8c03\\u7528\\u91cf\\uff0c\\u4e5f\\u4e0d\\u662f\\u95ed\\u6e90\\u5de8\\u5934\\u7684\\u5185\\u90e8\\u6d88\\u8017\\u2014\\u2014\\u8fd9\\u662f\\u4e00\\u4e2a\\u5f00\\u6e90\\u9879\\u76ee\\u7684\\u6210\\u7ee9\\u5355\\u3002Nous Research \\u65d7\\u4e0b\\u7684\\u5f00\\u6e90\\u81ea\\u8fdb\\u5316 Agent\\u300cHermes\\u300d\\uff0c\\u65e5\\u524d\\u4ee5\\u5355\\u65e5 271B Token \\u7684\\u8c03\\u7528\\u91cf\\u767b\\u9876 OpenRouter \\u5168\\u7403\\u5e94\\u7528 Token \\u6d88\\u8017\\u6392\\u884c\\u699c\\uff0c\\u628a OpenClaw\\u3001Kilo Code\\u3001Claude Code \\u7b49\\u4e00\\u4f17\\u660e\\u661f\\u9879\\u76ee\\u7529\\u5728\\u8eab\\u540e\\u3002</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">\\u66f4\\u8ba9\\u4eba\\u73a9\\u5473\\u7684\\u662f\\uff0cHermes \\u672c\\u6708\\u8c03\\u7528\\u91cf\\u6392\\u540d\\u524d\\u4e94\\u7684\\u6a21\\u578b\\u5206\\u522b\\u662f\\uff1a\\u5c0f\\u7c73 MiMo-V2-Pro\\u3001MiniMax M2.7\\u3001\\u82f1\\u4f1f\\u8fbe Nemotron 3 Super\\u3001\\u9636\\u8dc3 Step 3.5 Flash\\u3001\\u817e\\u8baf Hy3 preview\\u2014\\u2014\\u6ca1\\u6709\\u4e00\\u4e2a\\u6765\\u81ea OpenAI \\u6216 Anthropic\\u3002\\u5168\\u7403\\u5f00\\u53d1\\u8005\\u6b63\\u5728\\u7528\\u5b9e\\u9645\\u884c\\u52a8\\u6295\\u7968\\uff0c\\u800c\\u7968\\u9009\\u7684\\u7ed3\\u679c\\u662f\\u4e2a\\u5f00\\u6e90 Agent\\u3002</p><h2 class=\\\"h2\\\" data-heading=\\\"true\\\" style=\\\" display: table; padding: 0 0.2em; margin: 4em auto 2em; color: #fff; background: #0F4C81;  font-weight: bold; text-align: center; \\\">\\u4e3a\\u4ec0\\u4e48\\u662f Hermes\\uff1f</h2><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">AI Agent \\u8d5b\\u9053\\u62e5\\u6324\\u5df2\\u4e0d\\u662f\\u65b0\\u95fb\\u3002\\u4ece AutoGPT \\u5230 Devin\\uff0c\\u4ece Claude Code \\u5230\\u5404\\u79cd Copilot\\uff0c\\u53eb\\u5f97\\u4e0a\\u540d\\u5b57\\u7684 Agent \\u9879\\u76ee\\u5c11\\u8bf4\\u51e0\\u5341\\u4e2a\\u3002Hermes \\u51ed\\u4ec0\\u4e48\\u6740\\u51fa\\u91cd\\u56f4\\uff1f</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; 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letter-spacing: 0.1em; color: #3f3f3f;\\\">\\u542c\\u8d77\\u6765\\u7b80\\u5355\\uff1f\\u5b9e\\u73b0\\u8d77\\u6765\\u6781\\u96be\\u3002\\u6301\\u4e45\\u8bb0\\u5fc6\\u610f\\u5473\\u7740 Agent \\u9700\\u8981\\u5224\\u65ad\\u4ec0\\u4e48\\u503c\\u5f97\\u8bb0\\u3001\\u4ec0\\u4e48\\u8be5\\u5fd8\\u3001\\u4ec0\\u4e48\\u65f6\\u5019\\u8be5\\u4e3b\\u52a8\\u53ec\\u56de\\u2014\\u2014\\u8fd9\\u672c\\u8d28\\u4e0a\\u662f\\u5728\\u6a21\\u62df\\u4eba\\u7c7b\\u7684\\u8ba4\\u77e5\\u8fc7\\u7a0b\\u3002</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">\\u66f4\\u5173\\u952e\\u7684\\u662f\\u81ea\\u6211\\u5b66\\u4e60\\u3002Hermes \\u4e0d\\u6ee1\\u8db3\\u4e8e\\u88ab\\u52a8\\u6267\\u884c\\u6307\\u4ee4\\uff0c\\u5b83\\u80fd\\u4ece\\u6bcf\\u6b21\\u4ea4\\u4e92\\u4e2d\\u63d0\\u70bc\\u6a21\\u5f0f\\uff0c\\u8c03\\u6574\\u81ea\\u5df1\\u7684\\u884c\\u4e3a\\u7b56\\u7565\\u3002\\u4eca\\u5929\\u56de\\u7b54\\u4e0d\\u597d\\u7684\\u95ee\\u9898\\uff0c\\u660e\\u5929\\u4f1a\\u66f4\\u597d\\u3002\\u8fd9\\u4e0d\\u662f\\u9760\\u5de5\\u7a0b\\u5e08\\u6539\\u4ee3\\u7801\\uff0c\\u800c\\u662f Agent \\u81ea\\u5df1\\u5728\\u8fd0\\u884c\\u65f6\\u5b8c\\u6210\\u7684\\u81ea\\u9002\\u5e94\\u8fdb\\u5316\\u3002</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">\\u6b63\\u662f\\u8fd9\\u5957&quot;\\u8d8a\\u7528\\u8d8a\\u806a\\u660e&quot;\\u7684\\u673a\\u5236\\uff0c\\u8ba9\\u5f00\\u53d1\\u8005\\u613f\\u610f\\u628a\\u5927\\u91cf\\u4efb\\u52a1\\u4ea4\\u7ed9\\u5b83\\u3002271B Token \\u7684\\u80cc\\u540e\\uff0c\\u4e0d\\u662f\\u8425\\u9500\\u9020\\u52bf\\uff0c\\u662f\\u5b9e\\u6253\\u5b9e\\u7684\\u7528\\u6237\\u7c98\\u6027\\u3002</p><h2 class=\\\"h2\\\" data-heading=\\\"true\\\" style=\\\" display: table; padding: 0 0.2em; margin: 4em auto 2em; color: #fff; background: #0F4C81;  font-weight: bold; text-align: center; \\\">271B Token \\u610f\\u5473\\u7740\\u4ec0\\u4e48</h2><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">OpenRouter \\u662f\\u5168\\u7403\\u6700\\u5927\\u7684\\u591a\\u6a21\\u578b\\u805a\\u5408\\u5e73\\u53f0\\u4e4b\\u4e00\\uff0cToken \\u6d88\\u8017\\u662f\\u8861\\u91cf\\u4e00\\u4e2a\\u5e94\\u7528\\u771f\\u5b9e\\u4f7f\\u7528\\u91cf\\u7684\\u786c\\u6307\\u6807\\u3002Hermes \\u767b\\u9876\\u8fd9\\u4ef6\\u4e8b\\uff0c\\u6709\\u51e0\\u4e2a\\u503c\\u5f97\\u62c6\\u89e3\\u7684\\u4fe1\\u53f7\\uff1a</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; 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letter-spacing: 0.1em; color: #3f3f3f;\\\">Hermes \\u7684 GitHub \\u661f\\u6807\\u5df2\\u7ecf\\u7a81\\u7834 14 \\u4e07\\u3002\\u8fd9\\u4e2a\\u6570\\u5b57\\u672c\\u8eab\\u5c31\\u80fd\\u8bf4\\u660e\\u95ee\\u9898\\u2014\\u2014\\u793e\\u533a\\u70ed\\u5ea6\\u4e0d\\u662f\\u82b1\\u94b1\\u80fd\\u4e70\\u6765\\u7684\\uff0c\\u5b83\\u662f\\u5f00\\u53d1\\u8005\\u771f\\u5b9e\\u9700\\u6c42\\u7684\\u6620\\u5c04\\u3002</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">\\u8bf4\\u51e0\\u70b9\\u52a1\\u5b9e\\u7684\\u5224\\u65ad\\uff1a</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\"><strong style=\\\"color: #0F4C81; font-weight: bold; font-size: inherit;\\\">Agent \\u7684\\u53ef\\u6210\\u957f\\u6027\\u662f\\u4e0b\\u4e00\\u573a\\u4e89\\u593a\\u6218\\u7684\\u6838\\u5fc3\\u3002</strong> &quot;\\u5f00\\u7bb1\\u5373\\u7528&quot;\\u5df2\\u7ecf\\u4e0d\\u591f\\u4e86\\uff0c\\u7528\\u6237\\u8981\\u7684\\u662f&quot;\\u8d8a\\u7528\\u8d8a\\u597d\\u7528&quot;\\u3002\\u4efb\\u4f55 AI \\u4ea7\\u54c1\\uff0c\\u5982\\u679c\\u4e0b\\u4e00\\u6b21\\u4f7f\\u7528\\u548c\\u7b2c\\u4e00\\u6b21\\u4f7f\\u7528\\u6ca1\\u6709\\u4efb\\u4f55\\u533a\\u522b\\uff0c\\u5c31\\u53ef\\u80fd\\u5728\\u4e00\\u4e24\\u5e74\\u5185\\u88ab\\u6709\\u8bb0\\u5fc6\\u3001\\u80fd\\u5b66\\u4e60\\u7684 Agent \\u6dd8\\u6c70\\u3002</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\"><strong style=\\\"color: #0F4C81; font-weight: bold; font-size: inherit;\\\">\\u5f00\\u6e90\\u6b63\\u5728\\u91cd\\u65b0\\u5b9a\\u4e49 AI \\u7684\\u4ef7\\u503c\\u5206\\u5e03\\u3002</strong> \\u95ed\\u6e90\\u6a21\\u578b\\u7684\\u4ef7\\u503c\\u5728\\u88ab\\u5f00\\u6e90\\u5feb\\u901f\\u538b\\u7f29\\u3002\\u6a21\\u578b\\u8d8a\\u6765\\u8d8a\\u50cf commodity\\uff08\\u5546\\u54c1\\uff09\\uff0c\\u800c\\u6570\\u636e\\u3001\\u8bb0\\u5fc6\\u548c\\u4e2a\\u6027\\u5316\\u7684 Agent \\u4f53\\u9a8c\\u624d\\u662f\\u771f\\u6b63\\u7684\\u58c1\\u5792\\u3002</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\"><strong style=\\\"color: #0F4C81; font-weight: bold; font-size: inherit;\\\">\\u9002\\u914d\\u6bd4\\u6027\\u80fd\\u66f4\\u91cd\\u8981\\u3002</strong> Hermes \\u4e4b\\u6240\\u4ee5\\u80fd\\u51b2\\u4e0a\\u699c\\u9996\\uff0c\\u4e0d\\u662f\\u56e0\\u4e3a\\u5b83\\u7684\\u5e95\\u5c42\\u6a21\\u578b\\u6700\\u5f3a\\uff0c\\u800c\\u662f\\u56e0\\u4e3a\\u5b83\\u8ba9\\u5f00\\u53d1\\u8005\\u80fd\\u7528\\u6700\\u65b9\\u4fbf\\u7684\\u65b9\\u5f0f\\u63a5\\u5165\\u3002\\u5bf9\\u4e8e\\u521b\\u4e1a\\u56e2\\u961f\\u6765\\u8bf4\\uff0c\\u4e0e\\u5176\\u82b1\\u5927\\u529b\\u6c14\\u8bad\\u7ec3\\u4e00\\u4e2a\\u66f4\\u597d\\u7684\\u6a21\\u578b\\uff0c\\u4e0d\\u5982\\u628a\\u7cbe\\u529b\\u82b1\\u5728\\u8ba9\\u73b0\\u6709\\u6a21\\u578b\\u8dd1\\u5f97\\u66f4\\u806a\\u660e\\u3001\\u66f4\\u987a\\u624b\\u3002</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">GitHub \\u4e0a 14 \\u4e07\\u661f\\u6807\\u4e0d\\u662f\\u7ec8\\u70b9\\u3002271B \\u5355\\u65e5 Token \\u4e5f\\u4e0d\\u662f\\u3002Hermes \\u4e4b\\u6240\\u4ee5\\u5f15\\u4eba\\u5173\\u6ce8\\uff0c\\u4e0d\\u662f\\u56e0\\u4e3a\\u5b83\\u7684\\u6280\\u672f\\u6709\\u591a\\u8d85\\u524d\\uff0c\\u800c\\u662f\\u56e0\\u4e3a\\u5b83\\u6307\\u5411\\u4e86\\u4e00\\u4e2a\\u66f4\\u672c\\u8d28\\u7684\\u95ee\\u9898\\uff1aAI \\u4ea7\\u54c1\\u7684\\u6838\\u5fc3\\u7ade\\u4e89\\u529b\\u5230\\u5e95\\u662f\\u4ec0\\u4e48\\uff1f</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">\\u7b54\\u6848\\u6216\\u8bb8\\u662f\\u2014\\u2014\\u5b83\\u4e0d\\u662f\\u6a21\\u578b\\u53c2\\u6570\\uff0c\\u4e0d\\u662f\\u63a8\\u7406\\u901f\\u5ea6\\uff0c\\u4e0d\\u662f\\u4f60\\u7528\\u4e86\\u54ea\\u79cd\\u67b6\\u6784\\u3002\\u800c\\u662f\\u5b83\\u80fd\\u4e0d\\u80fd\\u5bf9\\u4f60\\u771f\\u6b63\\u6709\\u7528\\uff0c\\u5e76\\u4e14\\u8d8a\\u6765\\u8d8a\\u6709\\u7528\\u3002</p><p class=\\\"p\\\" style=\\\"margin: 1.5em 8px; letter-spacing: 0.1em; color: #3f3f3f;\\\">Hermes \\u7528\\u6570\\u636e\\u8bc1\\u660e\\u4e86\\u4e00\\u4ef6\\u4e8b\\uff1a<strong style=\\\"color: #0F4C81; font-weight: bold; font-size: inherit;\\\">\\u7528\\u6237\\u4f1a\\u7528\\u811a\\u6295\\u7968\\u3002\\u800c\\u4ed6\\u4eec\\u6295\\u7684\\u65b9\\u5411\\uff0c\\u662f\\u771f\\u6b63\\u80fd\\u5b66\\u4e60\\u548c\\u6210\\u957f\\u7684\\u4ea7\\u54c1\\u3002</strong></p>\\n    \\n  \\n    \\n  \\n    \\n  </section>\",\n            \"content_source_url\": \"\",\n            \"thumb_media_id\": \"imBwNhfy9Uv4ps2luE5gfhFaqqPVXK35kQrtzgBgD3h76qYcSByYcE3qW9yIMA7f\",\n            \"show_cover_pic\": 0,\n            \"url\": \"http://mp.weixin.qq.com/s?__biz=MjM5NTEyMjg0MA==&tempkey=MTM3M19pS2NJK1VaSm51NHhnZFllSjJIR2ZrWEwtUkJyaTVVdmY4TlR0azN5djNHcHNwTXNtX0d3cUNmRTN6N1NKdXVGellGdnNzRUo2S3lZemNidlRKcFk4SUl3c1FRTlFMbWxsaHlkUnNzc2cwZDhtcE9SVVBVM1hhOGZsWC1hQzhmbHQ1VDBlQjJ5amF1bVBwYWIxRjJJZW1MN2U2RlVvbkxOZzJQaU5Rfn4%3D&chksm=3d0967e20a7eeef48bd19f896cb2c8c5913315682076bf3492aff2adc9dc99c5daaa8a2cdb56#rd\",\n            \"thumb_url\": \"http://mmbiz.qpic.cn/mmbiz_jpg/eoYh6VVsibTszBCmIg6VI8zzygknauOxJt4zVuMkJfnS72kAxk1SHuErwVUYwOxWoEJmxn7aGVZJZS7an6wHO7ibYsKf9ITtWtgBhw2VOEFoU/0?wx_fmt=jpeg\",\n            \"need_open_comment\": 1,\n            \"only_fans_can_comment\": 0,\n            \"article_type\": \"news\"\n        }\n    ],\n    \"create_time\": 1778464714,\n    \"update_time\": 1778464715\n}"}],"details":{"persistedDetailsTruncated":true,"originalDetailsBytesAtLeast":8193,"originalDetailKeys":["status","exitCode","durationMs","aggregated","cwd"],"status":"completed","cwd":"/root/.openclaw/workspace/fabu","exitCode":0},"isError":false,"timestamp":1778464761373}}
{"type":"message","id":"90cd056d","parentId":"4e311f88","timestamp":"2026-05-11T01:59:25.028Z","message":{"role":"assistant","content":[{"type":"text","text":"✅ **公众号发布成功并验证完毕！** 草稿箱中存在该文章，media_id 已确认。\n\n现在进行 **Task 2：网站发布（创业思维网 weixinsiwei.com）**\n\n首先用 md2html.py 转换 Markdown 为 HTML："},{"type":"toolCall","id":"call_00_PcojvA4PLCkyQmSwxTWP5180","name":"exec","arguments":{"command":"python3 /root/.openclaw/agents/发布大师/workspace/scripts/md2html.py \"/root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/HermesAgent登顶OpenRouter-20250511-v1.md\" -o /tmp/hermes-article.html 2>&1"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":8380,"output":174,"cacheRead":24320,"cacheWrite":0,"totalTokens":32874,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464761375,"responseId":"4e407a48-a46f-4d97-a38e-ee527bcef655"}}
{"type":"message","id":"786618f8","parentId":"90cd056d","timestamp":"2026-05-11T01:59:25.248Z","message":{"role":"toolResult","toolCallId":"call_00_PcojvA4PLCkyQmSwxTWP5180","toolName":"exec","content":[{"type":"text","text":"HTML 已保存到: /tmp/hermes-article.html\n标题: 开源AI Agent「Hermes」登顶全球AI应用排行榜：自进化才是未来"}],"details":{"status":"completed","exitCode":0,"durationMs":170,"aggregated":"HTML 已保存到: /tmp/hermes-article.html\n标题: 开源AI Agent「Hermes」登顶全球AI应用排行榜：自进化才是未来","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464765247}}
{"type":"message","id":"a8b6a378","parentId":"786618f8","timestamp":"2026-05-11T01:59:26.693Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_zKFx3G4lgT8Qa2FpIJRM6976","name":"read","arguments":{"path":"/tmp/hermes-article.html"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":153,"output":48,"cacheRead":32768,"cacheWrite":0,"totalTokens":32969,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464765249,"responseId":"c7978019-0bfe-4069-bde1-b74e8bdf7bc0"}}
{"type":"message","id":"2664db06","parentId":"a8b6a378","timestamp":"2026-05-11T01:59:26.737Z","message":{"role":"toolResult","toolCallId":"call_00_zKFx3G4lgT8Qa2FpIJRM6976","toolName":"read","content":[{"type":"text","text":"<h1>开源AI Agent「Hermes」登顶全球AI应用排行榜：自进化才是未来</h1>\n<p>2710亿 Token，单日。</p>\n<p>这不是某家大厂的API调用量，也不是闭源巨头的内部消耗——这是一个开源项目的成绩单。Nous Research 旗下的开源自进化 Agent「Hermes」，日前以单日 271B Token 的调用量登顶 OpenRouter 全球应用 Token 消耗排行榜，把 OpenClaw、Kilo Code、Claude Code 等一众明星项目甩在身后。</p>\n<p>更让人玩味的是，Hermes 本月调用量排名前五的模型分别是：小米 MiMo-V2-Pro、MiniMax M2.7、英伟达 Nemotron 3 Super、阶跃 Step 3.5 Flash、腾讯 Hy3 preview——没有一个来自 OpenAI 或 Anthropic。全球开发者正在用实际行动投票，而票选的结果是个开源 Agent。</p>\n<h2 id=\"hermes\">为什么是 Hermes？</h2>\n<p>AI Agent 赛道拥挤已不是新闻。从 AutoGPT 到 Devin，从 Claude Code 到各种 Copilot，叫得上名字的 Agent 项目少说几十个。Hermes 凭什么杀出重围？</p>\n<p>答案藏在两个关键词里：<strong>持久记忆</strong>与<strong>自我学习机制</strong>。</p>\n<p>大多数 Agent 是 \"一次性\" 的——你给一个任务，它执行完就忘了，下次对话一切重来。Hermes 的设计哲学完全不同：它保留了对话的连续性，能记住你是谁、你做过什么、你的偏好和习惯。每次交互都在积累上下文，下次对话时它会主动复用这些经验。</p>\n<p>听起来简单？实现起来极难。持久记忆意味着 Agent 需要判断什么值得记、什么该忘、什么时候该主动召回——这本质上是在模拟人类的认知过程。</p>\n<p>更关键的是自我学习。Hermes 不满足于被动执行指令，它能从每次交互中提炼模式，调整自己的行为策略。今天回答不好的问题，明天会更好。这不是靠工程师改代码，而是 Agent 自己在运行时完成的自适应进化。</p>\n<p>正是这套\"越用越聪明\"的机制，让开发者愿意把大量任务交给它。271B Token 的背后，不是营销造势，是实打实的用户粘性。</p>\n<h2 id=\"271b-token\">271B Token 意味着什么</h2>\n<p>OpenRouter 是全球最大的多模型聚合平台之一，Token 消耗是衡量一个应用真实使用量的硬指标。Hermes 登顶这件事，有几个值得拆解的信号：</p>\n<p><strong>第一，开源 Agent 已具备规模化商用能力。</strong> 271B Token 不是实验室数据，是生产环境的真实载荷。这说明开源项目不再只是\"玩具\"或\"概念验证\"，它们正在吞噬商业产品的用户量。</p>\n<p><strong>第二，模型多元化不再是口号。</strong> Hermes 的调用排行榜是中国厂商的集体亮相。小米、MiniMax、阶跃星辰、腾讯——这些名字在几个月前还被认为是\"追赶者\"，现在却成了全球 Top 5 Agent 的主力模型提供商。开发者选择模型的标准已经从\"谁的品牌响\"变成了\"谁实际跑得好\"。</p>\n<p><strong>第三，Agent 层的价值在放大。</strong> 当模型能力趋同，竞争焦点正从模型本身向上迁移到 Agent 层。谁能让模型更聪明、更有记忆、更易用，谁就掌握了下半场的门票。Hermes 证明了：Agent 框架可以成为比底层模型更强的护城河。</p>\n<h2 id=\"ai\">对国内 AI 生态的直接影响</h2>\n<p>Hermes 的崛起对国内 AI 生态有一个非常具体的意义：它已适配阿里云、腾讯云、华为云以及微信、飞书等主流平台。</p>\n<p>这就意味着，开发者可以在国内的基础设施上跑 Hermes，用国产模型作为推理引擎，落地到微信和飞书这些日常办公场景中。Agent 的记忆、学习、进化和国产化部署，这一整套链路已经跑通。</p>\n<p>对于正在做 AI 应用落地的团队来说，这是一个值得关注的方向——基于开源 Agent 框架 + 国产模型 + 国内平台，构建自己的智能助手或自动化工作流。不必从零开始写 Agent 框架，也不依赖海外模型服务，技术路径非常清晰。</p>\n<h2 id=\"14-github\">14 万 GitHub 星标背后的启示</h2>\n<p>Hermes 的 GitHub 星标已经突破 14 万。这个数字本身就能说明问题——社区热度不是花钱能买来的，它是开发者真实需求的映射。</p>\n<p>说几点务实的判断：</p>\n<p><strong>Agent 的可成长性是下一场争夺战的核心。</strong> \"开箱即用\"已经不够了，用户要的是\"越用越好用\"。任何 AI 产品，如果下一次使用和第一次使用没有任何区别，就可能在一两年内被有记忆、能学习的 Agent 淘汰。</p>\n<p><strong>开源正在重新定义 AI 的价值分布。</strong> 闭源模型的价值在被开源快速压缩。模型越来越像 commodity（商品），而数据、记忆和个性化的 Agent 体验才是真正的壁垒。</p>\n<p><strong>适配比性能更重要。</strong> Hermes 之所以能冲上榜首，不是因为它的底层模型最强，而是因为它让开发者能用最方便的方式接入。对于创业团队来说，与其花大力气训练一个更好的模型，不如把精力花在让现有模型跑得更聪明、更顺手。</p>\n<p>GitHub 上 14 万星标不是终点。271B 单日 Token 也不是。Hermes 之所以引人关注，不是因为它的技术有多超前，而是因为它指向了一个更本质的问题：AI 产品的核心竞争力到底是什么？</p>\n<p>答案或许是——它不是模型参数，不是推理速度，不是你用了哪种架构。而是它能不能对你真正有用，并且越来越有用。</p>\n<p>Hermes 用数据证明了一件事：<strong>用户会用脚投票。而他们投的方向，是真正能学习和成长的产品。</strong></p>\n"}],"isError":false,"timestamp":1778464766736}}
{"type":"message","id":"e0a813c0","parentId":"2664db06","timestamp":"2026-05-11T01:59:37.675Z","message":{"role":"assistant","content":[{"type":"text","text":"HTML 转换完成。现在用 XML-RPC 方式发布到 Z-Blog。我需要手动构造 XML 来调用 metaWeblog.newPost："},{"type":"toolCall","id":"call_00_Z9bxGSgXe89ORN2ApK3q3827","name":"exec","arguments":{"command":"cat > /tmp/hermes-post.py << 'PYEOF'\nimport xmlrpc.client\nimport sys\n\nurl = \"https://weixinsiwei.com/zb_system/xml-rpc/index.php\"\nusername = \"admin\"\npassword = \"135269zxj\"\nblog_id = \"68ba1ff10060dd54f1e399b8e332bdba\"\n\n# Read HTML content\nwith open(\"/tmp/hermes-article.html\", \"r\", encoding=\"utf-8\") as f:\n    html_content = f.read()\n\n# metaWeblog.newPost\nserver = xmlrpc.client.ServerProxy(url)\n\n# First, test connection by getting recent posts\ntry:\n    result = server.metaWeblog.getRecentPosts(blog_id, username, password, 3)\n    print(f\"测试连接成功！最近文章数: {len(result)}\")\n    for post in result:\n        print(f\"  - {post.get('title', 'N/A')} (id: {post.get('postid', 'N/A')})\")\nexcept Exception as e:\n    print(f\"测试连接失败: {e}\")\n    sys.exit(1)\n\n# Now publish\ncategories = [\"AI科技\"]\npost_data = {\n    \"title\": \"开源AI Agent「Hermes」登顶全球AI应用排行榜：自进化才是未来\",\n    \"description\": html_content,\n    \"categories\": categories,\n    \"dateCreated\": None,  # now\n}\n\ntry:\n    post_id = server.metaWeblog.newPost(blog_id, username, password, post_data, True)  # True = publish\n    print(f\"\\n✅ 文章发布成功！Post ID: {post_id}\")\n    \n    # Verify\n    posts = server.metaWeblog.getRecentPosts(blog_id, username, password, 5)\n    print(\"\\n最近发布的文章:\")\n    for p in posts:\n        if p.get(\"postid\") == post_id:\n            print(f\"  ✅ {p.get('title')} (id: {p.get('postid')}) - 已发布!\")\n        else:\n            print(f\"  - {p.get('title')} (id: {p.get('postid')})\")\n    \n    print(f\"\\n✅ 验证完成！\")\n    \nexcept Exception as e:\n    print(f\"❌ 发布失败: {e}\")\n    sys.exit(1)\nPYEOF\npython3 /tmp/hermes-post.py 2>&1","timeout":60}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":1415,"output":606,"cacheRead":32896,"cacheWrite":0,"totalTokens":34917,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464766738,"responseId":"a667c943-3c60-47f3-94cd-12083f58a4c2"}}
{"type":"message","id":"d1020a27","parentId":"e0a813c0","timestamp":"2026-05-11T01:59:38.388Z","message":{"role":"toolResult","toolCallId":"call_00_Z9bxGSgXe89ORN2ApK3q3827","toolName":"exec","content":[{"type":"text","text":"测试连接成功！最近文章数: 3\n  - Claude Code团队正在做的事：让AI输出HTML而非Markdown (id: 9559)\n  - 真AI能落地、能获客，第一批用龙虾维护公众号和网站的人已经不吱声了 (id: 9556)\n  - 从国药特医的经营范围，看大健康行业的三大趋势 (id: 9554)\n❌ 发布失败: cannot marshal None unless allow_none is enabled\n\n(Command exited with code 1)"}],"details":{"status":"completed","exitCode":1,"durationMs":670,"aggregated":"测试连接成功！最近文章数: 3\n  - Claude Code团队正在做的事：让AI输出HTML而非Markdown (id: 9559)\n  - 真AI能落地、能获客，第一批用龙虾维护公众号和网站的人已经不吱声了 (id: 9556)\n  - 从国药特医的经营范围，看大健康行业的三大趋势 (id: 9554)\n❌ 发布失败: cannot marshal None unless allow_none is enabled\n\n(Command exited with code 1)","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464778388}}
{"type":"message","id":"2d8fa35c","parentId":"d1020a27","timestamp":"2026-05-11T01:59:46.631Z","message":{"role":"assistant","content":[{"type":"text","text":"小小修复："},{"type":"toolCall","id":"call_00_gzmu6mroRmTOEu8KX7Sk1088","name":"exec","arguments":{"command":"cat > /tmp/hermes-post.py << 'PYEOF'\nimport xmlrpc.client\nimport sys\nfrom datetime import datetime\n\nurl = \"https://weixinsiwei.com/zb_system/xml-rpc/index.php\"\nusername = \"admin\"\npassword = \"135269zxj\"\nblog_id = \"68ba1ff10060dd54f1e399b8e332bdba\"\n\n# Read HTML content\nwith open(\"/tmp/hermes-article.html\", \"r\", encoding=\"utf-8\") as f:\n    html_content = f.read()\n\n# metaWeblog.newPost\nserver = xmlrpc.client.ServerProxy(url, allow_none=True)\n\n# Now publish\ncategories = [\"AI科技\"]\npost_data = {\n    \"title\": \"开源AI Agent「Hermes」登顶全球AI应用排行榜：自进化才是未来\",\n    \"description\": html_content,\n    \"categories\": categories,\n    \"dateCreated\": datetime.now(),\n}\n\ntry:\n    post_id = server.metaWeblog.newPost(blog_id, username, password, post_data, True)  # True = publish\n    print(f\"\\n✅ 文章发布成功！Post ID: {post_id}\")\n    \n    # Verify\n    posts = server.metaWeblog.getRecentPosts(blog_id, username, password, 5)\n    print(\"\\n最近发布的文章:\")\n    found = False\n    for p in posts:\n        if p.get(\"postid\") == post_id:\n            print(f\"  ✅ {p.get('title')} (id: {p.get('postid')}) - 已发布!\")\n            found = True\n        else:\n            print(f\"  - {p.get('title')} (id: {p.get('postid')})\")\n    \n    if found:\n        print(f\"\\n✅ 验证完成！文章确认成功发布\")\n    else:\n        print(f\"\\n⚠️ 新发布的文章 id={post_id} 未在最近列表中，可能需要检查\")\n    \nexcept Exception as e:\n    print(f\"❌ 发布失败: {e}\")\n    import traceback\n    traceback.print_exc()\n    sys.exit(1)\nPYEOF\npython3 /tmp/hermes-post.py 2>&1","timeout":60}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":225,"output":531,"cacheRead":34816,"cacheWrite":0,"totalTokens":35572,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464778390,"responseId":"d2ac81ef-f7d7-4a69-bc89-7bee7201de69"}}
{"type":"message","id":"0795d7bd","parentId":"2d8fa35c","timestamp":"2026-05-11T01:59:47.837Z","message":{"role":"toolResult","toolCallId":"call_00_gzmu6mroRmTOEu8KX7Sk1088","toolName":"exec","content":[{"type":"text","text":"✅ 文章发布成功！Post ID: True\n\n最近发布的文章:\n  - 开源AI Agent「Hermes」登顶全球AI应用排行榜：自进化才是未来 (id: 9560)\n  - Claude Code团队正在做的事：让AI输出HTML而非Markdown (id: 9559)\n  - 真AI能落地、能获客，第一批用龙虾维护公众号和网站的人已经不吱声了 (id: 9556)\n  - 从国药特医的经营范围，看大健康行业的三大趋势 (id: 9554)\n  - 穿透股权看本质：国药特医（河南）和国药集团到底什么关系？ (id: 9553)\n\n⚠️ 新发布的文章 id=True 未在最近列表中，可能需要检查"}],"details":{"status":"completed","exitCode":0,"durationMs":1158,"aggregated":"✅ 文章发布成功！Post ID: True\n\n最近发布的文章:\n  - 开源AI Agent「Hermes」登顶全球AI应用排行榜：自进化才是未来 (id: 9560)\n  - Claude Code团队正在做的事：让AI输出HTML而非Markdown (id: 9559)\n  - 真AI能落地、能获客，第一批用龙虾维护公众号和网站的人已经不吱声了 (id: 9556)\n  - 从国药特医的经营范围，看大健康行业的三大趋势 (id: 9554)\n  - 穿透股权看本质：国药特医（河南）和国药集团到底什么关系？ (id: 9553)\n\n⚠️ 新发布的文章 id=True 未在最近列表中，可能需要检查","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778464787837}}
{"type":"message","id":"b1cfd64d","parentId":"0795d7bd","timestamp":"2026-05-11T01:59:54.308Z","message":{"role":"assistant","content":[{"type":"text","text":"The post was published (getRecentPosts shows it as \"id: 9560\"), but newPost returned `True` instead of the actual post ID. Let me verify by checking the website directly:"},{"type":"toolCall","id":"call_00_1MXhjEI1SLdCBFKkjdET6745","name":"exec","arguments":{"command":"curl -s \"https://weixinsiwei.com/zb_system/xml-rpc/index.php\" \\\n  -H \"Content-Type: text/xml\" \\\n  -d '<?xml version=\"1.0\"?>\n<methodCall>\n  <methodName>metaWeblog.getRecentPosts</methodName>\n  <params>\n    <param><value><string>68ba1ff10060dd54f1e399b8e332bdba</string></value></param>\n    <param><value><string>admin</string></value></param>\n    <param><value><string>135269zxj</string></value></param>\n    <param><value><int>5</int></value></param>\n  </params>\n</methodCall>' | python3 -c \"\nimport sys, xml.etree.ElementTree as ET\ndata = sys.stdin.read()\nroot = ET.fromstring(data)\nfor member in root.iter('member'):\n    name = member.find('name')\n    value = member.find('value')\n    if name is not None and value is not None:\n        n = name.text\n        v = value.find('string')\n        v4 = value.find('int')\n        if v is not None:\n            print(f'{n}: {v.text}')\n        elif v4 is not None:\n            print(f'{n}: {v4.text}')\n\""}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":294,"output":371,"cacheRead":35456,"cacheWrite":0,"totalTokens":36121,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464787838,"responseId":"f2fa5c58-8032-4641-99b6-7d6db9d47a58"}}
{"type":"message","id":"7cb7a3af","parentId":"b1cfd64d","timestamp":"2026-05-11T01:59:55.078Z","message":{"role":"toolResult","toolCallId":"call_00_1MXhjEI1SLdCBFKkjdET6745","toolName":"exec","content":[{"type":"text","text":"title: 开源AI Agent「Hermes」登顶全球AI应用排行榜：自进化才是未来\ndescription: <h1>开源AI Agent「Hermes」登顶全球AI应用排行榜：自进化才是未来</h1>\n<p>2710亿 Token，单日。</p>\n<p>这不是某家大厂的API调用量，也不是闭源巨头的内部消耗——这是一个开源项目的成绩单。Nous Research 旗下的开源自进化 Agent「Hermes」，日前以单日 271B Token 的调用量登顶 OpenRouter 全球应用 Token 消耗排行榜，把 OpenClaw、Kilo Code、Claude Code 等一众明星项目甩在身后。</p>\n<p>更让人玩味的是，Hermes 本月调用量排名前五的模型分别是：小米 MiMo-V2-Pro、MiniMax M2.7、英伟达 Nemotron 3 Super、阶跃 Step 3.5 Flash、腾讯 Hy3 preview——没有一个来自 OpenAI 或 Anthropic。全球开发者正在用实际行动投票，而票选的结果是个开源 Agent。</p>\n<h2 id=\"hermes\">为什么是 Hermes？</h2>\n<p>AI Agent 赛道拥挤已不是新闻。从 AutoGPT 到 Devin，从 Claude Code 到各种 Copilot，叫得上名字的 Agent 项目少说几十个。Hermes 凭什么杀出重围？</p>\n<p>答案藏在两个关键词里：<strong>持久记忆</strong>与<strong>自我学习机制</strong>。</p>\n<p>大多数 Agent 是 \"一次性\" 的——你给一个任务，它执行完就忘了，下次对话一切重来。Hermes 的设计哲学完全不同：它保留了对话的连续性，能记住你是谁、你做过什么、你的偏好和习惯。每次交互都在积累上下文，下次对话时它会主动复用这些经验。</p>\n<p>听起来简单？实现起来极难。持久记忆意味着 Agent 需要判断什么值得记、什么该忘、什么时候该主动召回——这本质上是在模拟人类的认知过程。</p>\n<p>更关键的是自我学习。Hermes 不满足于被动执行指令，它能从每次交互中提炼模式，调整自己的行为策略。今天回答不好的问题，明天会更好。这不是靠工程师改代码，而是 Agent 自己在运行时完成的自适应进化。</p>\n<p>正是这套\"越用越聪明\"的机制，让开发者愿意把大量任务交给它。271B Token 的背后，不是营销造势，是实打实的用户粘性。</p>\n<h2 id=\"271b-token\">271B Token 意味着什么</h2>\n<p>OpenRouter 是全球最大的多模型聚合平台之一，Token 消耗是衡量一个应用真实使用量的硬指标。Hermes 登顶这件事，有几个值得拆解的信号：</p>\n<p><strong>第一，开源 Agent 已具备规模化商用能力。</strong> 271B Token 不是实验室数据，是生产环境的真实载荷。这说明开源项目不再只是\"玩具\"或\"概念验证\"，它们正在吞噬商业产品的用户量。</p>\n<p><strong>第二，模型多元化不再是口号。</strong> Hermes 的调用排行榜是中国厂商的集体亮相。小米、MiniMax、阶跃星辰、腾讯——这些名字在几个月前还被认为是\"追赶者\"，现在却成了全球 Top 5 Agent 的主力模型提供商。开发者选择模型的标准已经从\"谁的品牌响\"变成了\"谁实际跑得好\"。</p>\n<p><strong>第三，Agent 层的价值在放大。</strong> 当模型能力趋同，竞争焦点正从模型本身向上迁移到 Agent 层。谁能让模型更聪明、更有记忆、更易用，谁就掌握了下半场的门票。Hermes 证明了：Agent 框架可以成为比底层模型更强的护城河。</p>\n<h2 id=\"ai\">对国内 AI 生态的直接影响</h2>\n<p>Hermes 的崛起对国内 AI 生态有一个非常具体的意义：它已适配阿里云、腾讯云、华为云以及微信、飞书等主流平台。</p>\n<p>这就意味着，开发者可以在国内的基础设施上跑 Hermes，用国产模型作为推理引擎，落地到微信和飞书这些日常办公场景中。Agent 的记忆、学习、进化和国产化部署，这一整套链路已经跑通。</p>\n<p>对于正在做 AI 应用落地的团队来说，这是一个值得关注的方向——基于开源 Agent 框架 + 国产模型 + 国内平台，构建自己的智能助手或自动化工作流。不必从零开始写 Agent 框架，也不依赖海外模型服务，技术路径非常清晰。</p>\n<h2 id=\"14-github\">14 万 GitHub 星标背后的启示</h2>\n<p>Hermes 的 GitHub 星标已经突破 14 万。这个数字本身就能说明问题——社区热度不是花钱能买来的，它是开发者真实需求的映射。</p>\n<p>说几点务实的判断：</p>\n<p><strong>Agent 的可成长性是下一场争夺战的核心。</strong> \"开箱即用\"已经不够了，用户要的是\"越用越好用\"。任何 AI 产品，如果下一次使用和第一次使用没有任何区别，就可能在一两年内被有记忆、能学习的 Agent 淘汰。</p>\n<p><strong>开源正在重新定义 AI 的价值分布。</strong> 闭源模型的价值在被开源快速压缩。模型越来越像 commodity（商品），而数据、记忆和个性化的 Agent 体验才是真正的壁垒。</p>\n<p><strong>适配比性能更重要。</strong> Hermes 之所以能冲上榜首，不是因为它的底层模型最强，而是因为它让开发者能用最方便的方式接入。对于创业团队来说，与其花大力气训练一个更好的模型，不如把精力花在让现有模型跑得更聪明、更顺手。</p>\n<p>GitHub 上 14 万星标不是终点。271B 单日 Token 也不是。Hermes 之所以引人关注，不是因为它的技术有多超前，而是因为它指向了一个更本质的问题：AI 产品的核心竞争力到底是什么？</p>\n<p>答案或许是——它不是模型参数，不是推理速度，不是你用了哪种架构。而是它能不能对你真正有用，并且越来越有用。</p>\n<p>Hermes 用数据证明了一件事：<strong>用户会用脚投票。而他们投的方向，是真正能学习和成长的产品。</strong></p>\n\npostid: 9560\nuserid: 1\nlink: https://weixinsiwei.com/?id=9560\npermaLink: https://weixinsiwei.com/?id=9560\nmt_keywords: None\nwp_slug: None\nmt_excerpt: None\nmt_text_more: None\nmt_basname: None\nmt_allow_comments: 1\npage_status: publish\ntitle: Claude Code团队正在做的事：让AI输出HTML而非Markdown\ndescription: <h1>Claude Code团队正在做的事：让AI输出HTML而非Markdown</h1>\n<p>上周，Anthropic Claude Code团队的成员Thariq发了一条推文，引发了不小讨论——他说，AI的默认输出格式，应该从Markdown换成HTML。</p>\n<p>你可能会想：Markdown不是挺好的吗？简洁、易读、开发者都爱。但仔细想想Thariq的话，你会发现他说到痛处了。</p>\n<h2 id=\"markdown\">超百行Markdown，根本没法看</h2>\n<p>用过Claude Code的人都知道，当AI一次性输出数百行Markdown时，那种阅读体验极其糟糕。你得不停往下滚，找关键信息全靠翻。Markdown能做到的事太有限了——表格勉强能看，但基本没有样式，更别说交互。</p>\n<p>Thariq给出的方案很简单：用HTML替代Markdown作为AI的默认输出格式。</p>\n<p>HTML的优势不言而喻：</p>\n<ul>\n<li><strong>信息密度更高</strong>。同样的内容，HTML的视觉呈现让读者一眼能抓住重点</li>\n<li><strong>原生支持表格</strong>。再也不用忍受Markdown那蹩脚的表格语法</li>\n<li><strong>嵌入SVG和脚本</strong>。想做交互组件？HTML天然就支持</li>\n<li><strong>双向调参</strong>。输出一个带控件的页面，用户可以直接在上面调节参数、实时看到效果</li>\n<li><strong>链接分享</strong>。生成的HTML页面可以直接分享，不需要中间转换</li>\n</ul>\n<p>说白了，就是把AI输出从\"可读的文本\"升级成\"可交互的界面\"。</p>\n<p>Thariq也说，生成HTML的成本是Markdown的2-4倍。但他在实践中发现，HTML输出带来的参与感提升和阅读完成率远超Markdown。</p>\n<h2 id=\"mdhtml\">我自己的实践：从MD到HTML，再也不用走弯路</h2>\n<p>说实话，Thariq这个观点一出，我立马就共鸣了。因为在这件事上，我已经踩了不少坑。</p>\n<p>先说最简单的一个场景——写文章。你用Markdown写完内容，最终要发到公众号、发布到网站，哪一步不是先转成HTML？Markdown只是中间态，HTML才是终态。那为什么一开始不直接用HTML？</p>\n<p>更关键的场景是给别人交付内容。</p>\n<p>我经常用AI帮别人出方案——产品规划、运营策略、活动方案等等。一开始我都是输出Markdown文件分享过去。结果呢？</p>\n<ol>\n<li>对方打开MD文件，样式全乱</li>\n<li>要么不知道怎么打开，要么打开后就是一坨纯文本</li>\n<li>体验极差，方案的冲击力大打折扣</li>\n</ol>\n<p>后来我改成直接分享HTML。好一点，但对大多数人来说，你给一个HTML文件，对方还是疑惑：这要用什么打开？</p>\n<p>直到我做了一个工具——把MD转成HTML，然后用HTML一键导出长图。这个流程彻底解决了我交付的最后一公里问题。</p>\n<p><strong>最终的交付形式：长图。</strong></p>\n<p>为什么是长图？因为在手机上、在微信里，长图的阅读体验是最好的。点开即读，排版完美，还能转发分享。对内容接收方来说，没有门槛、没有工具依赖。</p>\n<p>这套流程下来，我反而走了一条跟Thariq反方向的路：</p>\n<ul>\n<li><strong>我出方案</strong>（AI产出逻辑内容）</li>\n<li><strong>我转HTML</strong>（美化排版、加样式）</li>\n<li><strong>我导出长图</strong>（最终交付物）</li>\n</ul>\n<p>Thariq说的是让AI直接输出HTML、让阅读方直接在HTML里交互。我这边的场景更接地气——最终交付形态是长图，但中间那个HTML的步骤救了整个流程的命。</p>\n<h2 id=\"ai\">AI交付的未来：输出格式本身就是产品的一部分</h2>\n<p>Thariq举了几个实际场景来说明HTML输出的价值：</p>\n<p><strong>产品规划</strong>：AI可以抓取多个需求源的数据，整合出一份带表格、图表的总览页面，所有信息一目了然。</p>\n<p><strong>代码审查</strong>：生成的HTML页面可以直接嵌入差异对比、性能数据可视化，审查者不需要切换工具。</p>\n<p><strong>设计原型</strong>：AI生成带交互控件的HTML原型，设计师直接在页面上调参数、看效果。</p>\n<p><strong>深度报告</strong>：多层信息结构、可折叠章节、内嵌图表，比一长串Markdown文本高到不知道哪里去。</p>\n<p><strong>定制编辑界面</strong>：每个人都可以有一个被AI定制过的、适合自己的阅读和编辑界面。</p>\n<p>看到这些场景，你会发现一个趋势：<strong>AI的输出格式，正在从\"内容载体\"变成\"产品\"本身</strong>。</p>\n<p>过去我们只关心AI生成的内容对不对，拿到内容之后自己去排版、去美化、去转换格式。现在不一样了——AI输出的格式、排版、交互，本身就是用户体验的一部分。</p>\n<p>对创业者来说，这里的信号很明确：<strong>谁能在\"AI输出体验\"上做到极致，谁就能在交付这件事上建立壁垒。</strong></p>\n<h2 id=\"_1\">工具链建议</h2>\n<p>如果你也想走这条路，分享几个实际用下来的建议：</p>\n<ol>\n<li><strong>别放弃Markdown，用Markdown写、用HTML展示</strong>。MD在内容编辑阶段的体验仍然是最好的。问题是展示阶段还在用MD就纯粹是偷懒了。</li>\n<li><strong>找个好用的HTML模板</strong>。不需要多复杂，几个CSS类就够用了，重点是有好的代码块样式、表格样式、响应式布局。</li>\n<li><strong>长图导出是关键能力</strong>。如果你的目标用户群在微信生态，长图几乎是唯一靠谱的分享格式。H5页面太重，链接打开率低，纯文本没质感。</li>\n<li><strong>考虑交互能力</strong>。对于To B、企业内部场景，纯HTML页面加上交互控件（筛选、排序、参数调节）能大幅提升接收方的参与度。</li>\n</ol>\n<h2 id=\"_2\">最后说一句</h2>\n<p>Thariq和他的团队在Claude Code上做的尝试，是AI行业很少有人认真对待的方向——输出体验本身的价值。</p>\n<p>Markdown是给开发者用的，HTML是给所有人用的。</p>\n<p>AI产出的东西，如果能从\"等你去加工\"变成\"拿到就能用\"，这个转变本身，就是巨大的效率提升和用户体验飞跃。</p>\n<p>长图也好、交互页面也好、带控件的仪表盘也好——核心是同一件事：<strong>别让用户去适应AI的格式，让AI去适配用户习惯的消费方式。</strong></p>\n<p>谁先做到这一点，谁就抢到了下一轮AI应用的红利。</p>\n\npostid: 9559\nuserid: 1\nlink: https://weixinsiwei.com/?id=9559\npermaLink: https://weixinsiwei.com/?id=9559\nmt_keywords: None\nwp_slug: None\nmt_excerpt: None\nmt_text_more: None\nmt_basname: None\nmt_allow_comments: 1\npage_status: publish\ntitle: 真AI能落地、能获客，第一批用龙虾维护公众号和网站的人已经不吱声了\ndescription: <h1>真AI能落地、能获客，第一批用龙虾维护公众号和网站的人已经不吱声了</h1>\n<p>身边越来越多人开始讨论AI，但聊的内容还停留在\"ChatGPT能不能替代人类\"\"Sora又出了什么震撼大片\"这类话题上。</p>\n<p>听起来都挺牛的。然后呢？</p>\n<p>然后就没有然后了。聊完继续苦哈哈地写公众号、登录不同后台发网站、半夜追热点赶稿子。</p>\n<p>但我观察到另一拨人，态度完全不同。他们不说话，甚至主动回避这个话题。你问他们最近用什么AI工具，他们的回答永远是\"没用啥\"或者\"随便试试\"。</p>\n<p>这帮人不吱声，不是因为不好用——是因为太好用了，说出来等于给自己培养竞争对手。</p>\n<p><strong>我花了三个月，终于搞清楚他们在干什么。</strong></p>\n<h2 id=\"ai\">他们用AI干了一件事：真正帮自己干活</h2>\n<p>先说一个最简单的场景。</p>\n<p>做公众号的人都知道，每天最痛苦的不是选题（虽然也挺痛苦），而是从选题到发布之间那一大串流程：</p>\n<p>看到素材 → 构思框架 → 查资料补细节 → 写成文章 → 找配图 → 排版 → 发公众号 → 同步到网站 → 多平台分发</p>\n<p>这一整套走下来，稍微认真点的文章，半天就没了。天天这样，专职运营都得崩溃，更别说大部分做号的人其实是身兼数职的创业者。</p>\n<p>第一批用龙虾（OpenClaw）的人，把这套流程砍成了三步：</p>\n<p><strong>第一步，看到好素材，直接转发给龙虾。</strong>\n<strong>第二步，龙虾自己把文章写出来，配好图，生成发布预览。</strong>\n<strong>第三步，你确认没问题，点个确认，文章就出现在公众号和网站上了。</strong></p>\n<p>你没看错。从素材到发布，中间那堆脏活累活——选题建议、文章撰写、图片生成、排版适配、多端同步——全是龙虾自己跑完的。</p>\n<p>以前一个人干半天的活，现在几分钟搞定。而且因为AI不需要睡觉，半夜刷到突发新闻，直接转发给龙虾，天亮前文章已经发好了。</p>\n<h2 id=\"_1\">为什么他们\"不吱声\"了？</h2>\n<p>答案其实很简单：<strong>闷声发财的人最怕被人知道发财方法。</strong></p>\n<p>我一个做本地生活号的朋友，之前每天花4-5个小时弄公众号，周末还要维护公司网站。用了龙虾之后，每天花在内容上的时间不超过40分钟。省下来的时间干嘛去了？做新的号、谈商务合作、研究变现路径。</p>\n<p>三个月做了三个号，流量翻了四倍。</p>\n<p>你让他出去分享经验？他说\"也没啥特别的，就坚持原创呗\"——这话你信吗？反正我信了，然后三个月后才发现他偷偷用了龙虾。</p>\n<p>这不是个例。在第一批用户的小圈子里，大家默契地形成了一个潜规则：<strong>聊龙虾可以，但别透露自己怎么用的。</strong></p>\n<p>不是因为怕平台封杀（龙虾是合规的）。而是因为在内容竞争这么卷的今天，效率就是壁垒。一个人用AI把生产速度提到你的十倍，他凭什么告诉你？</p>\n<h2 id=\"_2\">网站维护才是真正的高频苦活</h2>\n<p>聊公众号聊得多，是因为做号的人多。但其实龙虾在网站维护上，价值更大。</p>\n<p>很多创业者、小企业主都有自己的网站——产品页、博客、案例展示、合作伙伴专区……这些网站往往是几个平台并行，一个简单的更新公告，要登录三个后台，改三套模板，发三遍版本。</p>\n<p>以前我认识的一个老板，每次更新产品信息，要把文案发给助理 → 助理写成通稿 → 找设计师做配图 → 分别登录三个网站后台发布 → 检查排版是否错乱。一个简单的产品升级，折腾两天。</p>\n<p>现在呢？他直接把产品文档发给龙虾，说\"更新到网站群\"。<strong>龙虾自己读完文档、理解改动点、写成适合不同站点的文案、配好图、逐站发布。</strong></p>\n<p>他跟我说了一句话我印象特别深：</p>\n<blockquote>\n<p>\"用了龙虾之后我才意识到，我之前招了一个人干的活，其实不是人该干的。\"</p>\n</blockquote>\n<h2 id=\"ai_1\">边角料时间变现，才是AI的真金白银</h2>\n<p>还有一个特别有意思的使用场景——碎片时间的利用。</p>\n<p>每个人都刷手机吧？刷到好文章、好段子、有意思的数据——在心里点个赞，划过去，然后忘了。</p>\n<p>因为理由特别充分：这会儿在吃饭/在排队/在地铁上，就算看到了好素材，后面还得找电脑写文章、查资料、配图……太麻烦了，算了。</p>\n<p>龙虾改变的是这件事。<strong>你不需要马上干完所有活。你只需要把素材转发给龙虾，剩下的它会帮你处理。</strong></p>\n<p>\"看到好内容 → 转发 → 继续刷手机\"，就这三步。</p>\n<p>过半小时你再看微信，龙虾已经把初稿写好了，配图方案也有了，就等你确认。你在地铁上划几下屏幕，审核、修改、确认发布。一篇好文章，诞生于蹲马桶和排队之间的碎片时间里。</p>\n<p>那个本地生活号的朋友跟我说，他80%的爆款文章都是这么来的。不是在工位上苦思冥想写出来的，而是刷手机时转发素材，利用边角料时间完成的。</p>\n<p><strong>这才是AI的真价值：不是替代人，而是让人在不改变习惯的前提下，凭空多出几个小时的产出。</strong></p>\n<h2 id=\"_3\">别等到你的对手也\"不吱声\"了</h2>\n<p>现在说回开头那个问题。</p>\n<p>为什么第一批用龙虾的人不吱声了？</p>\n<p>因为他们已经跑起来了，你没跟上。他们每天比你多生产几篇文章，多更新几次网站，多覆盖几个平台。一个月看不出差距，三个月是代差，半年就是降维打击。</p>\n<p>AI这件事，最大的坑不是选错了工具，而是选了工具之后，发现自己不知道怎么用起来。龙虾的价值不在于它用了什么大模型，而在于<strong>从素材到发布的全链路自动化</strong>，它真的帮你省了一个角色。</p>\n<p>你现在去问那批人：\"听说你在用龙虾？\"</p>\n<p>他们大概率会说：\"哦，随便试试。\"</p>\n<p>别信。</p>\n<hr>\n<p>想拥有同款龙虾？联系微信：tuikejiaolian</p>\n\npostid: 9556\nuserid: 1\nlink: https://weixinsiwei.com/?id=9556\npermaLink: https://weixinsiwei.com/?id=9556\nmt_keywords: 创业思维,AI应用,AI落地\nwp_slug: None\nmt_excerpt: None\nmt_text_more: None\nmt_basname: None\nmt_allow_comments: 1\npage_status: publish\ntitle: 从国药特医的经营范围，看大健康行业的三大趋势\ndescription: <h1>从国药特医的经营范围，看大健康行业的三大趋势</h1>\n<p>一家注册在郑州自贸区的公司，经营范围能告诉我们什么？如果仔细研究国药特医（河南）健康产业有限公司的经营范围列表，你会发现它几乎就是一本浓缩版的\"大健康行业趋势指南\"——从健康咨询到医疗美容，从特医食品到互联网销售，每一行经营范围背后都对应着一个正在快速增长的市场。</p>\n<h2 id=\"_1\">趋势一：从\"治病\"到\"治未病\"</h2>\n<p>国药特医（河南）的经营范围中，有几个关键词格外醒目：<strong>\"健康咨询服务\"、\"中医养生保健服务\"、\"保健食品（预包装）销售\"、\"中草药收购\"、\"农副产品销售\"</strong>。这些项目有一个共同的特点——它们都属于疾病预防和健康管理的范畴，而非传统的疾病治疗。</p>\n<p>这就是中国医疗健康行业正在经历的最深刻转型：从\"以治病为中心\"到\"以健康为中心\"，也就是所谓的\"治未病\"理念。</p>\n<p><strong>市场驱动因素十分清晰：</strong></p>\n<p>一方面，人口老龄化加速。截至2025年底，中国60岁及以上人口已接近3亿，占总人口比例超过21%。老年人群对健康管理、慢病防控、中医保健的需求持续增长。中医养生、保健食品恰恰是这一人群的核心消费方向。</p>\n<p>另一方面，年轻一代的健康意识觉醒。数据显示，25-35岁人群在健康消费品上的支出增速已超过老年人群体。\"朋克养生\"成为网络热词——年轻人一边熬夜一边吃保健品，推动保健食品市场持续扩容。2024年中国保健食品市场规模已突破4000亿元，预计2026年将突破5000亿元。</p>\n<p><strong>国药特医的布局逻辑非常清晰：</strong> 健康咨询作为前端流量入口，保健食品和中药作为核心产品，中医养生保健服务作为高粘性的服务闭环。这家公司虽然没有大规模的制造工厂，但这一套\"咨询+产品+服务\"的组合，覆盖了健康管理的全流程。</p>\n<p>经营范围中还包含\"中医诊所服务（需备案后方可经营）\"，这意味着未来这家公司可能直接开设中医诊所，将服务能力从线下的咨询进一步延伸到诊疗层面。这种从轻到重、从线上到线下的渐进式布局，正是当前大健康行业中\"健康管理公司\"的典型成长路径。</p>\n<h2 id=\"_2\">趋势二：医疗器械全链条覆盖</h2>\n<p>国药特医（河南）的经营范围中，关于医疗器械的部分占据了相当篇幅：</p>\n<blockquote>\n<p>一般项目：第一类医疗器械销售、第二类医疗器械销售、第一类医疗器械生产\n许可项目：第二类医疗器械经营、第三类医疗器械经营、第三类医疗器械生产</p>\n</blockquote>\n<p>从第一类到第三类，从生产到经营——这是一条完整的医疗器械产业链布局。</p>\n<p><strong>为什么这很重要？</strong></p>\n<p>首先，医疗器械是国产替代的主战场之一。近年来国家持续出台政策推动高端医疗器械国产化，包括集中采购、创新医疗器械加速审批等。从口罩、防护服等低值耗材（一类），到血压计、血糖仪等家用器械（二类），再到CT、核磁共振等大型设备（三类），国产替代正在各个层级推进。</p>\n<p>其次，医疗器械的利润率远高于药品。Bloomberg数据显示，全球医疗器械行业的平均毛利率在50%-65%之间，头部企业可达70%以上。而药品行业的毛利率普遍在30%-50%之间。</p>\n<p>第三，医疗器械覆盖生活场景的速度在加快。家用血压计、血糖仪、制氧机、呼吸机、康复器械等已从医院走向家庭。国药特医在郑州市中心设立运营中心，借助商都路的区位优势开展医疗器械销售，可以直接触达大量家庭用户和有康复需求的老年用户。</p>\n<p><strong>经营范围中\"一类生产\"和\"二三类的经营许可\"并存</strong>，说明国药特医（河南）很可能采用了\"轻生产、强流通\"的策略——一类低风险产品自行生产，二三类高壁垒产品通过渠道经营。这种策略既控制了合规成本，又保证了产品线的完整。</p>\n<h2 id=\"_3\">趋势三：互联网+大健康</h2>\n<p>经营范围中\"互联网销售\"和\"技术服务\"两个条目，暗示了这家公司在数字化方向上的布局意图。</p>\n<p>互联网医疗在过去几年经历了几轮政策松紧，但长期趋势是确定的。从在线问诊到电子处方流转，从药品O2O到慢病管理SaaS，互联网正在重塑医疗健康的服务形态。</p>\n<p><strong>关键数据值得关注：</strong></p>\n<p>中国在线医疗用户规模已突破3.5亿，占网民总数的30%以上。头部互联网医疗平台（如京东健康、阿里健康）的年度活跃用户均已超过1亿。但从渗透率来看，互联网医疗仅占整体医疗支出的约5%——在美国这一比例约为15%-20%，增长空间仍然巨大。</p>\n<p>对于国药特医（河南）来说，\"互联网销售\"指向的是保健食品、医疗器械、特医食品的线上零售渠道。在特医食品领域，由于目标人群分散（特殊疾病患者、术后恢复人群、老年群体），通过线上精准获客比线下铺货更高效。</p>\n<p>\"技术服务\"则可能指向更广泛的数字化布局——可能是为医疗机构提供的技术解决方案，也可能是面向C端的健康管理APP。</p>\n<h2 id=\"_4\">特医食品：一个独立的蓝海赛道</h2>\n<p>虽然特医食品被归类在保健食品的经营范围内，但它值得单独拿出来分析——因为它可能是国药特医（河南）的核心发力方向。</p>\n<p>特殊医学用途配方食品（FSMP），是针对进食受限、消化吸收障碍、代谢紊乱等特殊疾病状态人群的营养支持产品。这类产品介于药品和普通食品之间，具有明确的临床价值。</p>\n<p><strong>行业前景极为亮眼：</strong></p>\n<p>全球特医食品市场规模约为700亿元，中国占比较低但增速最快。行业内普遍预测，到2028年中国特医食品市场规模将达到300亿元以上。在政策层面，国家卫健委和市场监管总局持续优化审批流程，特医食品注册周期从过去的3-4年缩短至1-2年。</p>\n<p>国药系切入特医食品的优势在于渠道——三级医院的临床营养科是特医食品的核心终端，而国药系的药品流通网络与这些医院的合作早已建立。国药特医（河南）在自贸区的设立，可以利用进出口便利，引入海外成熟的特医食品品牌，同时在国内进行本地化生产和渠道建设。</p>\n<h2 id=\"_5\">三个趋势背后的共同逻辑</h2>\n<p>如果将三大趋势串联起来看，会发现它们共同指向一个方向：<strong>大健康行业的边界正在模糊和融合。</strong></p>\n<p>健康咨询与中医养生的融合——医疗从单次诊疗变成长期健康管理。\n医疗器械与互联网销售融合——硬件产品通过线上渠道触达更广的人群。\n特医食品与临床营养融合——食品越来越像药品，药品越来越强调营养支持。</p>\n<p>国药特医（河南）的经营范围，恰恰反映了这种融合趋势。它既不是传统的制药公司，也不是纯粹的零售企业，而是一家\"大健康服务集成商\"——用国药的品牌背书整合供应链，用互联网能力降低获客成本，用丰富的产品线覆盖客户从健康到亚健康再到疾病的全部需求。</p>\n<p>对于关注大健康赛道的创业者、投资者和从业者来说，国药特医（河南）的经营范围远非一份枯燥的工商登记文件。它是一份趋势地图，指向了中国大健康行业未来五年最重要的三个增长方向。</p>\n\npostid: 9554\nuserid: 1\nlink: https://weixinsiwei.com/?id=9554\npermaLink: https://weixinsiwei.com/?id=9554\nmt_keywords: None\nwp_slug: None\nmt_excerpt: None\nmt_text_more: None\nmt_basname: None\nmt_allow_comments: 1\npage_status: publish\ntitle: 穿透股权看本质：国药特医（河南）和国药集团到底什么关系？\ndescription: <h1>穿透股权看本质：国药特医（河南）和国药集团到底什么关系？</h1>\n<p>\"国药特医\"——当一家民营企业想要在名称中使用\"国药\"二字时，往往需要获得品牌授权或暗示着某种国资背景。但层层穿透后，\"国药\"二字的分量到底有多重？它与真正的国药集团之间，到底是血脉直系还是远亲？本文以国药特医（河南）健康产业有限公司为例，进行逐层股权穿透分析。</p>\n<h2 id=\"_1\">第一层：谁是国药特医（河南）的股东？</h2>\n<p>根据工商登记信息，国药特医（河南）健康产业有限公司由\"国药医养健康产业（海南）有限公司\"100%持股，法定代表人为聂磊。这是一级穿透，我们能看到的直接唯一股东。</p>\n<p>\"国药医养健康产业（海南）\"，这个名字本身就带着鲜明的国药色彩。接下来我们要继续追问：这家海南公司又是谁的？</p>\n<h2 id=\"_2\">第二层：海南公司的双重持股结构</h2>\n<p>国药医养健康产业（海南）有限公司的股权结构并非单一的母公司全资控股，而是由两名股东共同持有：</p>\n<ul>\n<li>70%的股份由\"国药医养健康产业（杭州）有限公司\"持有；</li>\n<li>30%的股份由\"国药凯丽康（上海）企业发展有限公司\"持有。</li>\n</ul>\n<p>这里出现了一个值得注意的现象：海南公司没有选择单一股东100%持股，而是引入了两家股东。从比例来看，杭州公司是绝对控股方（70%），上海公司是重要参股方（30%）。这种结构意味着在实际决策中，杭州公司主导方向，但上海公司也有相当的制衡能力。</p>\n<h2 id=\"_3\">第三层：国药凯丽康再穿透</h2>\n<p>让我们沿着上海公司的线索继续向上穿透。</p>\n<p>国药凯丽康（上海）企业发展有限公司，由其名称中的\"国药\"二字和完整的股权记录来看，它被\"国药药材股份有限公司\"100%持股。</p>\n<p>而国药药材股份有限公司的股权结构中，25%的股份归属于\"中国中药有限公司\"——中国中药是国药集团的二级子公司。</p>\n<p>这里出现了整条穿透链上最关键的转折点：经过层层传递，国药药材与国药集团之间通过中国中药形成了25%的持股关联。国药集团层面，中国中药有限公司是其在中药板块的核心二级平台。</p>\n<h2 id=\"_4\">第四层：一段变更的历史</h2>\n<p>研究这家公司的股权沿革，还有一段容易被忽视的历史：在更早的时期，国药特医（河南）曾经被国药集团下属的子公司以100%持股的方式全资持有。但在后续的股权重组中，这一直接的股权关系被调整了，变成了现在我们看到的间接持股结构。</p>\n<p>这一变更很可能是国药系内部重组的结果。近年来，国药集团持续推进\"瘦身健体\"，调整下属企业的组织架构和股权关系，将一些非核心业务进行剥离或下沉至次级平台。股权关系从\"直接持有\"变为\"间接持有\"，并不意味着品牌关系的彻底断绝——实际上，在国药系内部，这种层级嵌套的股权安排非常普遍。</p>\n<h2 id=\"_5\">第五层：现状总结——到底什么关系？</h2>\n<p>让我们做一个完整的股权穿透路径总结：</p>\n<div class=\"codehilite\"><pre><span></span><code>国药集团\n  └── 中国中药有限公司（国药集团二级公司，持有国药药材25%）\n        └── 国药药材股份有限公司（100%控股国药凯丽康）\n              └── 国药凯丽康（上海）（持有国药医养海南30%）\n                      └── 国药医养海南（100%控股国药特医河南）\n国药医养杭州（持有国药医养海南70%，其背后亦有国药关联）\n</code></pre></div>\n\n<p>从这条路径来看，国药特医（河南）和国药集团之间确实存在股权关联，但属于\"间接嵌套\"关系，而非直系血脉关系。这种关系在国资体系内最准确的表述是：<strong>国药特医（河南）的最终受益人可追溯到国药集团，中间经过了多层持股嵌套。</strong></p>\n<h2 id=\"_6\">\"国药\"二字的使用逻辑</h2>\n<p>\"国药\"作为品牌标识，在中国医药行业具有极高的品牌溢价。但在实际操作中，并非所有冠以\"国药\"之名的企业都和国药集团有直接的从属关系。</p>\n<p>在核心的一级子公司和主要二级子公司层面，国药集团对\"国药\"品牌的使用有较为严格的控制。但在更下层的孙公司、曾孙公司层面，品牌的使用相对灵活。只要存在股权关联（哪怕是间接关联），且获得了上一级股东的认可，就可以在商号中使用\"国药\"二字。</p>\n<p>这种品牌使用逻辑，在大型央企体系中并不罕见。中粮、华润、中化等央企体系内都存在着大量类似的\"远亲\"企业。这对于下级企业而言，是一种品牌势能的传导；对于上级集团来说，则可以在不占用核心品牌资源的前提下，让下级企业利用品牌影响力开拓市场。</p>\n<h2 id=\"_7\">对企业合作意味着什么？</h2>\n<p>对于和国药特医（河南）有合作意向的企业来说，客观看待这层股权关系非常重要。</p>\n<p><strong>正面来看：</strong> 能够通过层层穿透追溯到国药集团，说明这家企业通过了国资体系的合规审查，在业务资质、合规运营等方面有一定的制度保障。同时，虽然没有直接的集团资源倾斜，但在药品流通渠道、供应商资源、行业准入等方面，\"国药系\"内部确实存在一定程度的协同效应。</p>\n<p><strong>不过也需要理性看待：</strong> 多层持股意味着决策链条较长，国药集团层面不会直接干预或支持这家孙公司的日常运营。国药特医（河南）的独立经营能力、地方市场开拓能力，才是真正决定其商业价值的因素。\"国药\"二字是信任背书，但不是成功保证。</p>\n<h2 id=\"_8\">股权设计的战略启示</h2>\n<p>从更宏观的视角来看，国药特医（河南）的股权结构设计反映了一种典型的央企区域布局策略：</p>\n<ol>\n<li><strong>种子层设立</strong>，在最靠近市场的区域设立轻资产子公司；</li>\n<li><strong>中间层持股</strong>，采用两个及以上股东的共同持有，兼顾各方的利益和资源；</li>\n<li><strong>顶层穿透控制</strong>，通过多层间接持股锁定控制权，同时保持运营层面的灵活性。</li>\n</ol>\n<p>对于从事大健康领域创业或投资的读者而言，理解这种股权结构，有助于在面对\"国药系\"企业时快速判断其真实的品牌价值和资源能力——名字里带\"国药\"不代表直系血脉，但股权能穿到国药集团，至少说明它在这一体系中有属于自己的位置。</p>\n\npostid: 9553\nuserid: 1\nlink: https://weixinsiwei.com/?id=9553\npermaLink: https://weixinsiwei.com/?id=9553\nmt_keywords: None\nwp_slug: None\nmt_excerpt: None\nmt_text_more: None\nmt_basname: None\nmt_allow_comments: 1\npage_status: publish"}],"details":{"persistedDetailsTruncated":true,"originalDetailsBytesAtLeast":8193,"originalDetailKeys":["status","exitCode","durationMs","aggregated","cwd"],"status":"completed","cwd":"/root/.openclaw/workspace/fabu","exitCode":0},"isError":false,"timestamp":1778464795077}}
{"type":"message","id":"1f10136e","parentId":"7cb7a3af","timestamp":"2026-05-11T02:00:05.008Z","message":{"role":"assistant","content":[{"type":"text","text":"文章发布成功！可以看到 postid=9560 的新文章 `开源AI Agent「Hermes」登顶全球AI应用排行榜：自进化才是未来` 已经在网站最新文章的列表中，排在最前面（id: 9560），内容完整。现在来写发布日志："},{"type":"toolCall","id":"call_00_X3fx0gsCMjE7VmM0SSai9188","name":"write","arguments":{"path":"/root/.openclaw/agents/101/workspace/publish-log.md","content":"# 发布日志\n\n## 文章\n**标题：** 开源AI Agent「Hermes」登顶全球AI应用排行榜：自进化才是未来  \n**发布日期：** 2026-05-11\n\n---\n\n## ✅ 任务1：公众号发布（创业张三疯）\n\n**状态：✅ 已完成**\n\n- **账号：** 创业张三疯（wx88b0cf376e0386c4）\n- **作者：** ai张三疯\n- **封面：** cover-hermes.jpg\n- **主题：** default, color: blue\n- **media_id：** `imBwNhfy9Uv4ps2luE5gfqafGN_uRzn1eN1oUlEv-xZUSpTZoGAL6weHrxQNi76F`\n- **草稿箱验证：** 通过 — 已确认草稿箱中存在该文章，标题、作者、摘要、封面图均正确\n- **摘要（前120字符）：** 这不是某家大厂的API调用量，也不是闭源巨头的内部消耗——这是一个开源项目的成绩单。Nous Res...\n\n## ✅ 任务2：网站发布（创业思维网 weixinsiwei.com）\n\n**状态：✅ 已完成**\n\n- **站点：** weixinsiwei.com (Z-Blog)\n- **转换方式：** 使用 md2html.py 将 Markdown 转为完整 HTML 后通过 XML-RPC 发布\n- **XML-RPC 地址：** https://weixinsiwei.com/zb_system/xml-rpc/index.php\n- **Post ID：** 9560\n- **分类：** AI科技\n- **getRecentPosts 验证：** 通过 — 文章已确认出现在最新发布文章列表首位\n- **文章链接：** https://weixinsiwei.com/?id=9560\n\n---\n\n## 总结\n\n| 渠道 | 状态 | 详情 |\n|------|------|------|\n| 公众号（创业张三疯） | ✅ 已发布 | media_id 已确认，草稿箱验证通过 |\n| 网站（weixinsiwei.com） | ✅ 已发布 | post_id=9560, getRecentPosts 验证通过 |\n"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":8248,"output":601,"cacheRead":36096,"cacheWrite":0,"totalTokens":44945,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778464795080,"responseId":"acd55345-d875-4c28-af84-250c0f0caef3"}}
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