([\\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":1778462443935},{"role":"toolResult","toolCallId":"call_01_yEFQUvonNhONy1IMUvc36225","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":1778462443935},{"role":"assistant","content":[{"type":"text","text":"Good. Now I have a clear picture. Let me start executing both tasks in parallel.\n\n**Task 1: WeChat (公众号)** - Run the wechat-api.ts script\n**Task 2: Website (Z-Blog)** - Convert MD to HTML, then publish via XML-RPC\n\nLet me start Task 1 first (WeChat draft):"},{"type":"toolCall","id":"call_00_Ixmq8J8tl0TUqOTKfpD88758","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11 && WECHAT_APP_ID=<redacted> WECHAT_APP_SECRET=<redacted> npx -y bun /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts \"ai输出用HTML取代Markdown-20250511-v1.md\" --theme default --color blue --author \"ai张三疯\" --cover imgs/cover.jpg","timeout":120,"yieldMs":90000}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":6682,"output":289,"cacheRead":14336,"cacheWrite":0,"totalTokens":21307,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778462443938,"responseId":"6876d058-a0c9-4dad-9ee6-3b812c3f676b"},{"role":"toolResult","toolCallId":"call_00_Ixmq8J8tl0TUqOTKfpD88758","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-Ik3W0p/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: Claude Code团队正在做的事：让AI输出HTML而非Markdown\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 上周，Anthropic Claude Code团队的成员Thariq发了一条推文，引发了不小讨论—...\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/101/workspace/post-to-wechat/2026-05-11/imgs/cover.jpg\n[wechat-api] Publishing to draft...\n{\n \"success\": true,\n \"media_id\": \"imBwNhfy9Uv4ps2luE5gftptMujA8YE2-AimF3U0egFNK-La9o2fz4WePpruN-UB\",\n \"title\": \"Claude Code团队正在做的事：让AI输出HTML而非Markdown\",\n \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gftptMujA8YE2-AimF3U0egFNK-La9o2fz4WePpruN-UB"}],"details":{"status":"completed","exitCode":0,"durationMs":11464,"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-Ik3W0p/temp-article.html\n[wechat-api] Placeholder images: 0\n[wechat-api] Title: Claude Code团队正在做的事：让AI输出HTML而非Markdown\n[wechat-api] Author: ai张三疯\n[wechat-api] Digest: 上周，Anthropic Claude Code团队的成员Thariq发了一条推文，引发了不小讨论—...\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/101/workspace/post-to-wechat/2026-05-11/imgs/cover.jpg\n[wechat-api] Publishing to draft...\n{\n \"success\": true,\n \"media_id\": \"imBwNhfy9Uv4ps2luE5gftptMujA8YE2-AimF3U0egFNK-La9o2fz4WePpruN-UB\",\n \"title\": \"Claude Code团队正在做的事：让AI输出HTML而非Markdown\",\n \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gftptMujA8YE2-AimF3U0egFNK-La9o2fz4WePpruN-UB","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778462460859},{"role":"assistant","content":[{"type":"text","text":"WeChat draft published successfully! Now let me verify it in the draft list, and simultaneously start Task 2 - the Z-Blog website publishing."},{"type":"toolCall","id":"call_00_oFKTecSzNFAiD8cZavEh2696","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11 && python3 /root/.openclaw/agents/发布大师/workspace/scripts/md2html.py \"ai输出用HTML取代Markdown-20250511-v1.md\" -o /tmp/weixin-article.html","timeout":30}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":461,"output":162,"cacheRead":21248,"cacheWrite":0,"totalTokens":21871,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778462460863,"responseId":"2926f6ae-e66e-4e43-b1e7-f17dcb17987f"},{"role":"toolResult","toolCallId":"call_00_oFKTecSzNFAiD8cZavEh2696","toolName":"exec","content":[{"type":"text","text":"HTML 已保存到: /tmp/weixin-article.html\n标题: Claude Code团队正在做的事：让AI输出HTML而非Markdown"}],"details":{"status":"completed","exitCode":0,"durationMs":278,"aggregated":"HTML 已保存到: /tmp/weixin-article.html\n标题: Claude Code团队正在做的事：让AI输出HTML而非Markdown","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778462464055},{"role":"assistant","content":[{"type":"toolCall","id":"call_00_wuEU4hTWW2oErDijlOGd9208","name":"read","arguments":{"path":"/tmp/weixin-article.html"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":153,"output":49,"cacheRead":21760,"cacheWrite":0,"totalTokens":21962,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778462464058,"responseId":"ac9e56ca-6224-4d1e-a783-2b9b1d62c3fe"},{"role":"toolResult","toolCallId":"call_00_wuEU4hTWW2oErDijlOGd9208","toolName":"read","content":[{"type":"text","text":"<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"}],"isError":false,"timestamp":1778462465418},{"role":"assistant","content":[{"type":"text","text":"Now I need to publish this HTML to Z-Blog via XML-RPC. Let me write a script to handle this using Python's xmlrpc:"},{"type":"toolCall","id":"call_00_d7FJw97g8zxAPp9NoNHO1577","name":"write","arguments":{"path":"/tmp/publish-zblog.py","content":"#!/usr/bin/env python3\n\"\"\"Publish article to Z-Blog via metaWeblog XML-RPC\"\"\"\n\nimport sys\nimport xmlrpc.client\nfrom html import escape\n\nXMLRPC_URL = \"https://weixinsiwei.com/zb_system/xml-rpc/index.php\"\nUSERNAME = \"admin\"\nPASSWORD = \"135269zxj\"\nBLOG_ID = \"68ba1ff10060dd54f1e399b8e332bdba\"\n\ndef read_html(path):\n with open(path, 'r', encoding='utf-8') as f:\n return f.read()\n\ndef publish_article(html_content, title):\n \"\"\"Publish article to Z-Blog via metaWeblog\"\"\"\n client = xmlrpc.client.ServerProxy(XMLRPC_URL)\n \n # Build article struct\n article = {\n 'title': title,\n 'description': html_content,\n 'categories': [],\n 'mt_keywords': '',\n 'post_status': 1, # Published\n }\n \n print(f\"Publishing article: {title}\", file=sys.stderr)\n result = client.metaWeblog.newPost(BLOG_ID, USERNAME, PASSWORD, article, True)\n print(f\"Published! Post ID: {result}\", file=sys.stderr)\n return result\n\ndef verify_article(post_id=None):\n \"\"\"Verify the article was published by getting recent posts\"\"\"\n client = xmlrpc.client.ServerProxy(XMLRPC_URL)\n \n try:\n # Get recent posts to verify\n posts = client.metaWeblog.getRecentPosts(BLOG_ID, USERNAME, PASSWORD, 5)\n print(f\"\\n=== Recent Posts (total returned: {len(posts)}) ===\", file=sys.stderr)\n for p in posts:\n pid = p.get('postid', '?')\n ptitle = p.get('title', '?')\n pdate = p.get('dateCreated', '?')\n print(f\" [{pid}] {ptitle} ({pdate})\", file=sys.stderr)\n \n if post_id:\n found = any(str(p.get('postid')) == str(post_id) for p in posts)\n if found:\n print(f\"✅ Article {post_id} verified in recent posts!\", file=sys.stderr)\n else:\n print(f\"⚠️ Article {post_id} not found in first 5 recent posts\", file=sys.stderr)\n except Exception as e:\n print(f\"Verification error: {e}\", file=sys.stderr)\n\ndef main():\n html_path = \"/tmp/weixin-article.html\"\n html_content = read_html(html_path)\n \n # Extract title from h1\n import re\n title_match = re.search(r'<h1>(.*?)</h1>', html_content)\n title = title_match.group(1) if title_match else \"Claude Code团队正在做的事：让AI输出HTML而非Markdown\"\n \n post_id = publish_article(html_content, title)\n verify_article(post_id)\n \n # Also print for stdout capture\n print(f\"POST_ID={post_id}\")\n print(f\"TITLE={title}\")\n\nif __name__ == '__main__':\n main()\n"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":1647,"output":795,"cacheRead":21888,"cacheWrite":0,"totalTokens":24330,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778462465420,"responseId":"92001298-556b-4dbc-8bd6-88ced5ebf3b4"},{"role":"toolResult","toolCallId":"call_00_d7FJw97g8zxAPp9NoNHO1577","toolName":"write","content":[{"type":"text","text":"Successfully wrote 2496 bytes to /tmp/publish-zblog.py"}],"isError":false,"timestamp":1778462476863},{"role":"assistant","content":[{"type":"toolCall","id":"call_00_NUQVyjMgpCOP4i87LY9H3689","name":"exec","arguments":{"command":"python3 /tmp/publish-zblog.py","timeout":30}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":37,"output":67,"cacheRead":24320,"cacheWrite":0,"totalTokens":24424,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778462476865,"responseId":"aca93a65-11d8-42ce-98b2-c60e2872342e"},{"role":"toolResult","toolCallId":"call_00_NUQVyjMgpCOP4i87LY9H3689","toolName":"exec","content":[{"type":"text","text":"Publishing article: Claude Code团队正在做的事：让AI输出HTML而非Markdown\nPublished! Post ID: True\n\n=== Recent Posts (total returned: 5) ===\n [9559] Claude Code团队正在做的事：让AI输出HTML而非Markdown (2026-05-11T09:20:41+08:00)\n [9556] 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 (2026-05-09T23:58:22+08:00)\n [9554] 从国药特医的经营范围，看大健康行业的三大趋势 (2026-05-09T19:23:53+08:00)\n [9553] 穿透股权看本质：国药特医（河南）和国药集团到底什么关系？ (2026-05-09T19:23:52+08:00)\n [9552] 国药特医（河南）落地郑州，国药系大健康版图再下一城 (2026-05-09T19:23:52+08:00)\n⚠️ Article True not found in first 5 recent posts\nPOST_ID=True\nTITLE=Claude Code团队正在做的事：让AI输出HTML而非Markdown"}],"details":{"status":"completed","exitCode":0,"durationMs":6590,"aggregated":"Publishing article: Claude Code团队正在做的事：让AI输出HTML而非Markdown\nPublished! Post ID: True\n\n=== Recent Posts (total returned: 5) ===\n [9559] Claude Code团队正在做的事：让AI输出HTML而非Markdown (2026-05-11T09:20:41+08:00)\n [9556] 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 (2026-05-09T23:58:22+08:00)\n [9554] 从国药特医的经营范围，看大健康行业的三大趋势 (2026-05-09T19:23:53+08:00)\n [9553] 穿透股权看本质：国药特医（河南）和国药集团到底什么关系？ (2026-05-09T19:23:52+08:00)\n [9552] 国药特医（河南）落地郑州，国药系大健康版图再下一城 (2026-05-09T19:23:52+08:00)\n⚠️ Article True not found in first 5 recent posts\nPOST_ID=True\nTITLE=Claude Code团队正在做的事：让AI输出HTML而非Markdown","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778462485108},{"role":"assistant","content":[{"type":"text","text":"The article was published! The `postid` returned `True` (which Z-Blog does sometimes), but I can see the article is actually in the recent posts list as post [9559] titled \"Claude Code团队正在做的事：让AI输出HTML而非Markdown\". Let me also verify the WeChat draft by checking the draft list:"},{"type":"toolCall","id":"call_00_uauuhKfU441K95y29Ar59856","name":"exec","arguments":{"command":"# Verify WeChat draft - query the draft list to confirm\ncd /root/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11 && WECHAT_APP_ID=<redacted> WECHAT_APP_SECRET=<redacted> node -e \"\nconst TOKEN_URL = 'https://api.weixin.qq.com/cgi-bin/token';\nconst DRAFT_LIST_URL = 'https://api.weixin.qq.com/cgi-bin/draft/batchget';\n\nasync function main() {\n // Get token\n const tokenRes = await fetch(TOKEN_URL + '?grant_type=client_credential&appid=wx88b0cf376e0386c4&secret=b2d47ee298204c28cf82549d2798192f');\n const tokenData = await tokenRes.json();\n const token = tokenData.access_token;\n console.log('Token obtained:', token ? 'yes' : 'no');\n \n // Query drafts\n const listRes = await fetch(DRAFT_LIST_URL + '?access_token=' + token, {\n method: 'POST',\n body: JSON.stringify({\n offset: 0,\n count: 10,\n no_content: 1\n })\n });\n const listData = await listRes.json();\n if (listData.errcode) {\n console.log('Draft query error:', listData.errmsg);\n return;\n }\n console.log('Total drafts:', listData.total_count);\n if (listData.item && listData.item.length > 0) {\n listData.item.forEach((item, i) => {\n console.log('Draft ' + (i+1) + ': media_id=' + item.media_id + ' | title=' + (item.content && item.content.news_item ? item.content.news_item[0].title : 'N/A'));\n });\n }\n}\nmain().catch(console.error);\n\"","timeout":30}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":395,"output":569,"cacheRead":24320,"cacheWrite":0,"totalTokens":25284,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778462485110,"responseId":"5e94110d-f75b-4d8c-8af4-6881e099ce46"},{"role":"toolResult","toolCallId":"call_00_uauuhKfU441K95y29Ar59856","toolName":"exec","content":[{"type":"text","text":"Token obtained: yes\nTotal drafts: 99\nDraft 1: media_id=<redacted> | title=Claude Code团队正在做的事：让AI输出HTML而非Markdown\nDraft 2: media_id=<redacted> | title=GL8取公章：一个属于老板们的过气梗\nDraft 3: media_id=<redacted> | title=他们用AI干了一件事：真正帮自己干活\nDraft 4: media_id=<redacted> | title=没有芯片的\"超级计算机\"诞生了！汉原2号双核原子量子计算机发布\nDraft 5: media_id=<redacted> | title=# 阶跃星辰完成近25亿美元融资并筹备赴港IPO：国产大模型从\"军备竞赛\"到\"资本大考\"\nDraft 6: media_id=<redacted> | title=大基金领投DeepSeek融资分析\nDraft 7: media_id=<redacted> | title=大基金领投DeepSeek融资分析\nDraft 8: media_id=<redacted> | title=你还在熬夜写公众号？我的AI智能体已经自动写完、配好图、发到三个平台了\nDraft 9: media_id=<redacted> | title=DeepSeek上线识图模式：它不是在看图，是在\"看懂\"图\nDraft 10: media_id=<redacted> | title=Claude 学会动手了：AI 终于不只是「说」，而是开始「做」"}],"details":{"status":"completed","exitCode":0,"durationMs":5076,"aggregated":"Token obtained: yes\nTotal drafts: 99\nDraft 1: media_id=<redacted> | title=Claude Code团队正在做的事：让AI输出HTML而非Markdown\nDraft 2: media_id=<redacted> | title=GL8取公章：一个属于老板们的过气梗\nDraft 3: media_id=<redacted> | title=他们用AI干了一件事：真正帮自己干活\nDraft 4: media_id=<redacted> | title=没有芯片的\"超级计算机\"诞生了！汉原2号双核原子量子计算机发布\nDraft 5: media_id=<redacted> | title=# 阶跃星辰完成近25亿美元融资并筹备赴港IPO：国产大模型从\"军备竞赛\"到\"资本大考\"\nDraft 6: media_id=<redacted> | title=大基金领投DeepSeek融资分析\nDraft 7: media_id=<redacted> | title=大基金领投DeepSeek融资分析\nDraft 8: media_id=<redacted> | title=你还在熬夜写公众号？我的AI智能体已经自动写完、配好图、发到三个平台了\nDraft 9: media_id=<redacted> | title=DeepSeek上线识图模式：它不是在看图，是在\"看懂\"图\nDraft 10: media_id=<redacted> | title=Claude 学会动手了：AI 终于不只是「说」，而是开始「做」","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1778462506050},{"role":"assistant","content":[{"type":"text","text":"Both tasks are confirmed successful. Now let me write the publish log:"},{"type":"toolCall","id":"call_00_x7DHg1gpaMagidmtNLt20813","name":"write","arguments":{"content":"# 发布日志\n\n## 文章信息\n- **标题**: Claude Code团队正在做的事：让AI输出HTML而非Markdown\n- **主题**: AI输出格式、创业思维类\n- **站点**: 创业思维网 weixinsiwei.com / 公众号 创业张三疯\n\n---\n\n## ✅ 任务1：公众号发布（创业张三疯）\n\n| 项目 | 结果 |\n|------|------|\n| 公众号 | 创业张三疯（chuangyezhangsanfeng） |\n| 作者 | ai张三疯 |\n| 封面图 | imgs/cover.jpg ✓ |\n| 草稿箱 media_id | imBwNhfy9Uv4ps2luE5gftptMujA8YE2-AimF3U0egFNK-La9o2fz4WePpruN-UB |\n| 验证 | ✅ 草稿箱确认存在（共99篇草稿，本文排第1位） |\n\n## ✅ 任务2：网站发布（创业思维网 weixinsiwei.com）\n\n| 项目 | 结果 |\n|------|------|\n| 转换方式 | md2html.py → /tmp/weixin-article.html ✓ |\n| 发布方式 | XML-RPC (metaWeblog.newPost) |\n| 文章ID | 9559 |\n| 站点URL | https://weixinsiwei.com/ |\n| 验证 | ✅ 已通过 getRecentPosts 确认文章存在 |\n\n---\n\n## 时间记录\n- 发布时间：2026-05-11 09:20 (GMT+8)\n- 耗时：约1分钟\n","path":"/root/.openclaw/agents/101/workspace/publish-log.md"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":827,"output":429,"cacheRead":25216,"cacheWrite":0,"totalTokens":26472,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1778462506052,"responseId":"9acd268a-add4-4eb7-80d7-a5319f05cb12"},{"role":"toolResult","toolCallId":"call_00_x7DHg1gpaMagidmtNLt20813","toolName":"write","content":[{"type":"text","text":"Successfully wrote 691 bytes to /root/.openclaw/agents/101/workspace/publish-log.md"}],"isError":false,"timestamp":1778462513481},{"role":"assistant","content":[{"type":"text","text":"## ✅ 发布任务完成\n\n**两个渠道全部发布成功并已验证：**\n\n### 任务1：公众号发布（创业张三疯）\n- ✅ 通过微信草稿箱API发布成功\n- ✅ 验证：查询草稿箱列表，第一篇就是该文章（`media_id` 确认）\n- 作者：ai张三疯，封面图：imgs/cover.jpg\n\n### 任务2：网站发布（创业思维网 weixinsiwei.com）\n- ✅ md2html.py 成功将MD转换为HTML\n- ✅ 通过XML-RPC (metaWeblog.newPost) 发布成功\n- ✅ 验证：`getRecentPosts` 确认文章已发布，文章ID: **9559**\n- 站点：https://weixinsiwei.com/\n\n### 发布日志\n详细结果已写入 `/root/.openclaw/agents/101/workspace/publish-log.md`"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":140,"output":191,"cacheRead":26368,"cacheWrite":0,"totalTokens":26699,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"stop","timestamp":1778462513483,"responseId":"710614e1-1ea9-40d7-9de3-d6e071611dfb"}]}}
{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"2569738b-d097-40d1-b720-cfcecd759773","source":"runtime","type":"trace.artifacts","ts":"2026-05-11T01:21:57.374Z","seq":6,"sourceSeq":6,"sessionId":"2569738b-d097-40d1-b720-cfcecd759773","sessionKey":"agent:fabu:subagent:6db75e29-835f-4653-b950-78587c858d7d","runId":"b82a82d6-2574-45f2-a46d-77072d5d1c2d","workspaceDir":"/root/.openclaw/workspace/fabu","provider":"deepseek","modelId":"deepseek-chat","modelApi":"openai-completions","data":{"capturedAt":"2026-05-11T01:21:57.374Z","finalStatus":"success","aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"promptErrorSource":null,"usage":{"input":17318,"output":3314,"cacheRead":226304,"total":246936},"promptCache":{"lastCallUsage":{"input":140,"output":191,"cacheRead":26368,"cacheWrite":0,"total":26699},"lastCacheTouchAt":1778462513483},"compactionCount":0,"assistantTexts":["I'll execute both publishing tasks. Let me start by reading the source files and checking the tools.","Good, the files are there. Now let me check what scripts and tools are available.","Found the wechat-api.ts script. Let me check the md2html.py script and the wechat-api.ts script.","Good. Now I have a clear picture. Let me start executing both tasks in parallel.\n\n**Task 1: WeChat (公众号)** - Run the wechat-api.ts script\n**Task 2: Website (Z-Blog)** - Convert MD to HTML, then publish via XML-RPC\n\nLet me start Task 1 first (WeChat draft):","WeChat draft published successfully! Now let me verify it in the draft list, and simultaneously start Task 2 - the Z-Blog website publishing.","Now I need to publish this HTML to Z-Blog via XML-RPC. Let me write a script to handle this using Python's xmlrpc:","The article was published! The `postid` returned `True` (which Z-Blog does sometimes), but I can see the article is actually in the recent posts list as post [9559] titled \"Claude Code团队正在做的事：让AI输出HTML而非Markdown\". Let me also verify the WeChat draft by checking the draft list:","Both tasks are confirmed successful. Now let me write the publish log:","## ✅ 发布任务完成\n\n**两个渠道全部发布成功并已验证：**\n\n### 任务1：公众号发布（创业张三疯）\n- ✅ 通过微信草稿箱API发布成功\n- ✅ 验证：查询草稿箱列表，第一篇就是该文章（`media_id` 确认）\n- 作者：ai张三疯，封面图：imgs/cover.jpg\n\n### 任务2：网站发布（创业思维网 weixinsiwei.com）\n- ✅ md2html.py 成功将MD转换为HTML\n- ✅ 通过XML-RPC (metaWeblog.newPost) 发布成功\n- ✅ 验证：`getRecentPosts` 确认文章已发布，文章ID: **9559**\n- 站点：https://weixinsiwei.com/\n\n### 发布日志\n详细结果已写入 `/root/.openclaw/agents/101/workspace/publish-log.md`"],"finalPromptText":"[Mon 2026-05-11 09:19 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.","itemLifecycle":{"startedCount":26,"completedCount":26,"activeCount":0},"toolMetas":[{"toolName":"exec","meta":"list files in ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/, `ls -la ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/`"},{"toolName":"read","meta":"from ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/ai输出用HTML取代Markdown-20250511-v1.md"},{"toolName":"read","meta":"from ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/cover.jpg"},{"toolName":"exec","meta":"list files in ~/.openclaw/agents/发布大师/workspace/scripts/, `ls ~/.openclaw/agents/发布大师/workspace/scripts/`"},{"toolName":"exec","meta":"list files in ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/, `ls -la ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11/imgs/`"},{"toolName":"exec","meta":"list files in ~/.openclaw/agents/101/workspace/post-to-wechat/scripts/wechat-api.ts → list files in skills/baoyu-post-to-wechat/scripts/wechat-api.ts → find files named \"wechat-api.ts\" in / -> show first 10 lines, `ls ~/.openclaw/agents/101/workspace/post-to-wechat/scripts/wechat-api.ts 2>/dev/null; ls skills/baoyu-post-to-wecha…`"},{"toolName":"exec","meta":"find files named \"wechat-api.ts\" in ~/.openclaw -> show first 10 lines, `find ~/.openclaw -name \"wechat-api.ts\" -not -path \"*/node_modules/*\" 2>/dev/null | head -10`"},{"toolName":"process","meta":"salty-willow"},{"toolName":"read","meta":"from ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts"},{"toolName":"read","meta":"from ~/.openclaw/agents/发布大师/workspace/scripts/md2html.py"},{"toolName":"exec","meta":"cd ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11 && WECHAT_APP_ID=<redacted> WECHAT_APP_SECRET… (in ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11)"},{"toolName":"exec","meta":"run python3 ~/.openclaw/agents/发布大师/workspace/scripts/md2html.py (in ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11), `cd ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-11 && python3 ~/.openclaw/agents/发布大师/workspace/scri…`"},{"toolName":"read","meta":"from /tmp/weixin-article.html"},{"toolName":"write","meta":"to /tmp/publish-zblog.py (2496 chars)"},{"toolName":"exec","meta":"run python3 /tmp/publish-zblog.py, `python3 /tmp/publish-zblog.py`"},{"toolName":"exec","meta":"run # Verify → run node inline script, `# Verify WeChat draft - query the draft list to confirm cd ~/.openclaw/agents/101/workspace/post-to-wechat/2026-05-…`"},{"toolName":"write","meta":"to ~/.openclaw/agents/101/workspace/publish-log.md (691 chars)"}],"didSendViaMessagingTool":false,"successfulCronAdds":0,"messagingToolSentTexts":[],"messagingToolSentMediaUrls":[],"messagingToolSentTargets":[]}}
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