([\\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":1779159916474},{"role":"assistant","content":[{"type":"text","text":"Good, I can see the script structure. Now let me also check what scripts/dependencies are nearby and verify the markdown file path, then look at the HTML file:"},{"type":"toolCall","id":"call_00_WH9yIHKu19Fn5IOCyuBb5641","name":"exec","arguments":{"command":"ls -la /root/.openclaw/workspace/fabu/wechat-extend-config.ts /root/.openclaw/workspace/fabu/md-to-wechat.ts 2>/dev/null; ls -la /root/.openclaw/workspace/fabu/node_modules/.package-lock.json 2>/dev/null; ls -la /root/imgs/business/cover.jpg 2>/dev/null"}},{"type":"toolCall","id":"call_01_QH66DGBF8cWmirpcRz3e2765","name":"exec","arguments":{"command":"cat /tmp/马斯克诉OpenAI-支持立场-20260519.html 2>/dev/null | head 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/root/.openclaw/workspace/fabu/node_modules/.package-lock.json\n-rw-r--r-- 1 root root 296835 May 6 09:54 /root/imgs/business/cover.jpg","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779159920364},{"role":"toolResult","toolCallId":"call_01_QH66DGBF8cWmirpcRz3e2765","toolName":"exec","content":[{"type":"text","text":"<h1>OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题</h1>\n<p>想象这样一个画面：</p>\n<p>加州奥克兰联邦法院，九人陪审团走进会议室。不到两小时——有人刚够吃完一个午餐的三明治——他们回来了。</p>\n<p>一致决定：驳回马斯克对OpenAI及山姆·奥特曼的所有指控。</p>\n<p>理由只有一个：诉讼时效已过。</p>\n<p>OpenAI的律师团队在法庭内相互拥抱庆祝。就像刚赢了一场生死攸关的决赛。马斯克的两位律师走出法庭，面对记者只说了两个字：</p>\n<p>\"上诉。\"</p>\n<p>一个字的解释都没有，一个表情都懒得多给。</p>\n<p><strong>这场官司在法律上结束了。但在道理上，才刚刚开始。</strong></p>\n<h2 id=\"_1\">法庭没有回答那个问题</h2>\n<p>很多人看到新闻标题\"马斯克诉OpenAI被驳回\"，会本能地认为：OpenAI赢了，说明它没问题。</p>\n<p>但法律玩了一个精巧的文字游戏。</p>\n<p>诉讼时效——这是个程序问题，不是实体判决。意思是说：法庭根本没去判断\"OpenAI到底有没有背离初心\"，它只是说：你告得太晚了，我们不审了。</p>\n<p><strong>这就像一个法官对你说：\"我不说你有没有犯错，我只说你来投诉的时间不对。\"</strong></p>\n<p>这不是实质性的清白。这是程序性的回避。</p>\n<p>你要理解诉讼时效为什么存在——是为了防止证据灭失、防止\"陈年旧账\"无休止地翻出来。在绝大多数商业纠纷里，这个制度是合理的。</p>\n<p>但放在OpenAI身上，事情没那么简单。</p>\n<h2 id=\"_2\">一个拿了公共资源的\"公益组织\"</h2>\n<p>让我们回到2015年。</p>\n<p>OpenAI成立时的定位是什么？</p>\n<p><strong>非营利组织。</strong> 以\"为了全人类的福祉\"为使命。不受商业利益驱动。确保人工智能的发展方向不被股东利益绑架。</p>\n<p>马斯克是创始捐赠人之一，他捐了4500万美元。为什么？因为他相信这个使命。</p>\n<p>他当时在公开场合说过：AI领域最危险的事，就是被少数几个商业巨头垄断。OpenAI要做的是\"去中心化、为了全人类\"的那条路。</p>\n<p>2019年，转折发生了。</p>\n<p>OpenAI成立了\"有上限利润\"的营利实体。理由是：训练AI太烧钱了，非营利模式融不到那么多资金。</p>\n<p>听起来合理。但问题在于：</p>\n<p><strong>当初拿着\"公益\"的金字招牌，享受了非营利组织的各种政策红利——包括税收优惠、公共信任、顶级人才的以\"使命感\"加入——然后转身说\"我改主意了\"，这个过程，不需要被审视吗？</strong></p>\n<p>一个类比：假如你所在的小区里有一所\"公益学校\"，家长们捐款捐物，政府给了地皮和税收减免，都因为它的章程写着\"不以营利为目的\"。十年后，学校突然宣布：我们以后按商业公司运营，学费涨十倍，利润归股东。</p>\n<p>家长们不能质问一句？不能问一句\"当初说好的事呢\"？</p>\n<p>如果这所学校说：\"你十年前捐的钱，现在不能告我，因为诉讼时效过了。\"——你会觉得这合理吗？</p>\n<h2 id=\"_3\">黄仁勋的噩梦，奥特曼的选择</h2>\n<p>很多人说马斯克起诉OpenAI是因为\"他嫉妒\"——因为OpenAI做成了，而他自己的人工智能项目xAI才刚起步。</p>\n<p>这个说法不是完全没有道理。马斯克是人，当然有人性的复杂面。</p>\n<p><strong>但你不能因为一个人可能\"有私心\"，就否定他提出的问题本身有没有道理。</strong></p>\n<p>其实，真正有意思的角度在于：OpenAI的转型，反映了整个AI行业的一个根本矛盾——\"公益初心\"和\"烧钱现实\"之间的撕裂。</p>\n<p>OpenAI不是第一个，也不会是最后一个。</p>\n<p>训练大模型需要几十亿、上百亿美元。如果你是非营利组织，你怎么融到这笔钱？VC不会投一家只能做慈善的公司。所以你必须变成营利机构。</p>\n<p>这个逻辑链条很清晰。但问题在于：<strong>这个转变，应该在阳光下进行，不应该在诉讼时效的技术性条款里悄悄掩盖。</strong></p>\n<p>如果2019年OpenAI说\"我们要成立营利子公司了，同时我们会保障最初的公益承诺仍然有约束力\"，和现在\"我们就是一家商业公司，估值数千亿\"——中间隔着的，不只是钱，还有信任。</p>\n<h2 id=\"_4\">这件事对创业者的真正启示</h2>\n<p>写到这里，我想说说这件事对我们创业者的意义。</p>\n<p>因为创业圈里，类似的\"初心漂移\"其实每天都在发生。</p>\n<p>很多创始人起步时做to B，后来转了to C。刚开始说\"工具免费\"，后来悄悄收费。早期说\"我们不收割用户\"，后来开始做流量变现。</p>\n<p><strong>转变本身没有错。商业就是在动态中调整的。</strong></p>\n<p>问题在于：这个转变的过程，是透明的、坦荡的，还是遮遮掩掩、等没人记得了再翻篇？</p>\n<p>OpenAI案最让人不安的地方，不是它变成了商业公司，而是它用\"诉讼时效过了\"这个技术性理由，回避了\"当初的承诺还算不算数\"这个根本问题。</p>\n<p><strong>对创业者来说，这是个很好的提醒：</strong></p>\n<p>你可以改变方向。你可以调整商业模式。你甚至可以从公益变成营利。</p>\n<p>但别用\"太久以前的事\"来搪塞那些曾经信任你的人。</p>\n<p>因为信任这东西，诉讼时效永远不会过。</p>\n<hr>\n<p><em>顺便说一句：创业的路上，每个选择背后都是认知和格局的较量。如果你也在思考商业模式的边界和初心的平衡，欢迎关注我的深度内容系列——我们一起拆解那些值得反思的商业故事。</em></p>\n<p><img alt=\"OPC一人公司\" src=\"/images/ads/OPC一人公司/1.jpg\"></p>\n<p><em>（本文首发于创业思维网 weixinsiwei.com，转载请联系授权。）</em></p>"}],"details":{"status":"completed","exitCode":0,"durationMs":134,"aggregated":"<h1>OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题</h1>\n<p>想象这样一个画面：</p>\n<p>加州奥克兰联邦法院，九人陪审团走进会议室。不到两小时——有人刚够吃完一个午餐的三明治——他们回来了。</p>\n<p>一致决定：驳回马斯克对OpenAI及山姆·奥特曼的所有指控。</p>\n<p>理由只有一个：诉讼时效已过。</p>\n<p>OpenAI的律师团队在法庭内相互拥抱庆祝。就像刚赢了一场生死攸关的决赛。马斯克的两位律师走出法庭，面对记者只说了两个字：</p>\n<p>\"上诉。\"</p>\n<p>一个字的解释都没有，一个表情都懒得多给。</p>\n<p><strong>这场官司在法律上结束了。但在道理上，才刚刚开始。</strong></p>\n<h2 id=\"_1\">法庭没有回答那个问题</h2>\n<p>很多人看到新闻标题\"马斯克诉OpenAI被驳回\"，会本能地认为：OpenAI赢了，说明它没问题。</p>\n<p>但法律玩了一个精巧的文字游戏。</p>\n<p>诉讼时效——这是个程序问题，不是实体判决。意思是说：法庭根本没去判断\"OpenAI到底有没有背离初心\"，它只是说：你告得太晚了，我们不审了。</p>\n<p><strong>这就像一个法官对你说：\"我不说你有没有犯错，我只说你来投诉的时间不对。\"</strong></p>\n<p>这不是实质性的清白。这是程序性的回避。</p>\n<p>你要理解诉讼时效为什么存在——是为了防止证据灭失、防止\"陈年旧账\"无休止地翻出来。在绝大多数商业纠纷里，这个制度是合理的。</p>\n<p>但放在OpenAI身上，事情没那么简单。</p>\n<h2 id=\"_2\">一个拿了公共资源的\"公益组织\"</h2>\n<p>让我们回到2015年。</p>\n<p>OpenAI成立时的定位是什么？</p>\n<p><strong>非营利组织。</strong> 以\"为了全人类的福祉\"为使命。不受商业利益驱动。确保人工智能的发展方向不被股东利益绑架。</p>\n<p>马斯克是创始捐赠人之一，他捐了4500万美元。为什么？因为他相信这个使命。</p>\n<p>他当时在公开场合说过：AI领域最危险的事，就是被少数几个商业巨头垄断。OpenAI要做的是\"去中心化、为了全人类\"的那条路。</p>\n<p>2019年，转折发生了。</p>\n<p>OpenAI成立了\"有上限利润\"的营利实体。理由是：训练AI太烧钱了，非营利模式融不到那么多资金。</p>\n<p>听起来合理。但问题在于：</p>\n<p><strong>当初拿着\"公益\"的金字招牌，享受了非营利组织的各种政策红利——包括税收优惠、公共信任、顶级人才的以\"使命感\"加入——然后转身说\"我改主意了\"，这个过程，不需要被审视吗？</strong></p>\n<p>一个类比：假如你所在的小区里有一所\"公益学校\"，家长们捐款捐物，政府给了地皮和税收减免，都因为它的章程写着\"不以营利为目的\"。十年后，学校突然宣布：我们以后按商业公司运营，学费涨十倍，利润归股东。</p>\n<p>家长们不能质问一句？不能问一句\"当初说好的事呢\"？</p>\n<p>如果这所学校说：\"你十年前捐的钱，现在不能告我，因为诉讼时效过了。\"——你会觉得这合理吗？</p>\n<h2 id=\"_3\">黄仁勋的噩梦，奥特曼的选择</h2>\n<p>很多人说马斯克起诉OpenAI是因为\"他嫉妒\"——因为OpenAI做成了，而他自己的人工智能项目xAI才刚起步。</p>\n<p>这个说法不是完全没有道理。马斯克是人，当然有人性的复杂面。</p>\n<p><strong>但你不能因为一个人可能\"有私心\"，就否定他提出的问题本身有没有道理。</strong></p>\n<p>其实，真正有意思的角度在于：OpenAI的转型，反映了整个AI行业的一个根本矛盾——\"公益初心\"和\"烧钱现实\"之间的撕裂。</p>\n<p>OpenAI不是第一个，也不会是最后一个。</p>\n<p>训练大模型需要几十亿、上百亿美元。如果你是非营利组织，你怎么融到这笔钱？VC不会投一家只能做慈善的公司。所以你必须变成营利机构。</p>\n<p>这个逻辑链条很清晰。但问题在于：<strong>这个转变，应该在阳光下进行，不应该在诉讼时效的技术性条款里悄悄掩盖。</strong></p>\n<p>如果2019年OpenAI说\"我们要成立营利子公司了，同时我们会保障最初的公益承诺仍然有约束力\"，和现在\"我们就是一家商业公司，估值数千亿\"——中间隔着的，不只是钱，还有信任。</p>\n<h2 id=\"_4\">这件事对创业者的真正启示</h2>\n<p>写到这里，我想说说这件事对我们创业者的意义。</p>\n<p>因为创业圈里，类似的\"初心漂移\"其实每天都在发生。</p>\n<p>很多创始人起步时做to B，后来转了to C。刚开始说\"工具免费\"，后来悄悄收费。早期说\"我们不收割用户\"，后来开始做流量变现。</p>\n<p><strong>转变本身没有错。商业就是在动态中调整的。</strong></p>\n<p>问题在于：这个转变的过程，是透明的、坦荡的，还是遮遮掩掩、等没人记得了再翻篇？</p>\n<p>OpenAI案最让人不安的地方，不是它变成了商业公司，而是它用\"诉讼时效过了\"这个技术性理由，回避了\"当初的承诺还算不算数\"这个根本问题。</p>\n<p><strong>对创业者来说，这是个很好的提醒：</strong></p>\n<p>你可以改变方向。你可以调整商业模式。你甚至可以从公益变成营利。</p>\n<p>但别用\"太久以前的事\"来搪塞那些曾经信任你的人。</p>\n<p>因为信任这东西，诉讼时效永远不会过。</p>\n<hr>\n<p><em>顺便说一句：创业的路上，每个选择背后都是认知和格局的较量。如果你也在思考商业模式的边界和初心的平衡，欢迎关注我的深度内容系列——我们一起拆解那些值得反思的商业故事。</em></p>\n<p><img alt=\"OPC一人公司\" src=\"/images/ads/OPC一人公司/1.jpg\"></p>\n<p><em>（本文首发于创业思维网 weixinsiwei.com，转载请联系授权。）</em></p>","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779159920364},{"role":"assistant","content":[{"type":"text","text":"Both the article content and the HTML file look good. Now let me proceed with the two publishing tasks in parallel:\n\n1. **WeChat** - Run the wechat-api.ts script\n2. **Website** - Create and run the Z-Blog publish script\n\nLet me start with the WeChat publish:"},{"type":"toolCall","id":"call_00_OhkuV01Zy0JTqMGeBqiO0075","name":"exec","arguments":{"command":"cd /root/.openclaw/workspace/fabu && WECHAT_APP_ID=<redacted> WECHAT_APP_SECRET=<redacted> \\\n bun /root/.openclaw/workspace/fabu/wechat-api.ts \\\n \"/root/.openclaw/agents/101/workspace/post-to-wechat/20260519/马斯克诉OpenAI-支持立场-20260519.md\" \\\n --title \"OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题\" \\\n --theme modern --color vermilion --author \"ai张三疯\" --cover /root/imgs/business/cover.jpg 2>&1","timeout":120}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":1641,"output":291,"cacheRead":21248,"cacheWrite":0,"totalTokens":23180,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779159920366,"responseId":"cee319e4-423f-4d52-8b34-4596f3e160b7"},{"role":"toolResult","toolCallId":"call_00_OhkuV01Zy0JTqMGeBqiO0075","toolName":"exec","content":[{"type":"text","text":"[wechat-api] Theme: modern, color: vermilion, citeStatus: true\n[wechat-api] Rendering markdown with placeholders via md-to-wechat: modern, color: vermilion, citeStatus: true\nError: Markdown placeholder render failed: error: Module not found \"/root/.openclaw/workspace/fabu/md-to-wechat.ts\"\n\n(Command exited with code 1)"}],"details":{"status":"completed","exitCode":1,"durationMs":1637,"aggregated":"[wechat-api] Theme: modern, color: vermilion, citeStatus: true\n[wechat-api] Rendering markdown with placeholders via md-to-wechat: modern, color: vermilion, citeStatus: true\nError: Markdown placeholder render failed: error: Module not found \"/root/.openclaw/workspace/fabu/md-to-wechat.ts\"\n\n(Command exited with code 1)","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779159925537},{"role":"assistant","content":[{"type":"text","text":"The `md-to-wechat.ts` file is missing. Let me find it:"},{"type":"toolCall","id":"call_00_WblxbDndgsYc4eQzPUG89351","name":"exec","arguments":{"command":"find /root/.openclaw/ -name \"md-to-wechat*\" 2>/dev/null; find / -maxdepth 8 -name \"md-to-wechat*\" 2>/dev/null | head -10"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":110,"output":105,"cacheRead":23168,"cacheWrite":0,"totalTokens":23383,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779159925538,"responseId":"62b9de56-a730-4278-9352-f201f131cf7c"},{"role":"toolResult","toolCallId":"call_00_WblxbDndgsYc4eQzPUG89351","toolName":"exec","content":[{"type":"text","text":"Command still running (session ember-sable, pid 773735). Use process (list/poll/log/write/kill/clear/remove) for follow-up."}],"details":{"status":"running","sessionId":"ember-sable","pid":773735,"startedAt":1779159927249,"cwd":"/root/.openclaw/workspace/fabu","tail":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/md-to-wechat.ts\n/root/.openclaw/agents/101/workspace/wechat-agent-template/skills/baoyu-post-to-wechat/scripts/md-to-wechat.ts\n"},"isError":false,"timestamp":1779159937305},{"role":"assistant","content":[{"type":"toolCall","id":"call_00_k5Az3LH9cmqZMe6u0QwP0511","name":"process","arguments":{"action":"poll","sessionId":"ember-sable","timeout":15000}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":133,"output":79,"cacheRead":23296,"cacheWrite":0,"totalTokens":23508,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779159937307,"responseId":"925e5f8d-464b-40c0-b120-1a1c4b471528"},{"role":"toolResult","toolCallId":"call_00_k5Az3LH9cmqZMe6u0QwP0511","toolName":"process","content":[{"type":"text","text":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/md-to-wechat.ts\n/root/.openclaw/agents/101/workspace/wechat-agent-template/skills/baoyu-post-to-wechat/scripts/md-to-wechat.ts\n\n\nProcess exited with code 0."}],"details":{"status":"completed","sessionId":"ember-sable","exitCode":0,"aggregated":"/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/md-to-wechat.ts\n/root/.openclaw/agents/101/workspace/wechat-agent-template/skills/baoyu-post-to-wechat/scripts/md-to-wechat.ts\n","name":"find /root/.openclaw/"},"isError":false,"timestamp":1779159941791},{"role":"assistant","content":[{"type":"text","text":"The `md-to-wechat.ts` script is located in the baoyu-post-to-wechat skills directory under agents/101. The wechat-api.ts expects it to be in the same directory. Let me look at how it references it and create a symlink or copy:"},{"type":"toolCall","id":"call_00_2lySuOH1qEiduhiGHooQ5456","name":"exec","arguments":{"command":"ls /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":172,"output":125,"cacheRead":23424,"cacheWrite":0,"totalTokens":23721,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779159941792,"responseId":"cdb18144-0265-44a3-b3c2-e515007573a6"},{"role":"toolResult","toolCallId":"call_00_2lySuOH1qEiduhiGHooQ5456","toolName":"exec","content":[{"type":"text","text":"bun.lock\ncdp.ts\ncheck-permissions.ts\ncopy-to-clipboard.ts\nmd-to-wechat.ts\nnode_modules\npackage.json\npackage-lock.json\npaste-from-clipboard.ts\nvendor\nwechat-agent-browser.ts\nwechat-api.ts\nwechat-article.ts\nwechat-browser.ts\nwechat-extend-config.ts"}],"details":{"status":"completed","exitCode":0,"durationMs":53,"aggregated":"bun.lock\ncdp.ts\ncheck-permissions.ts\ncopy-to-clipboard.ts\nmd-to-wechat.ts\nnode_modules\npackage.json\npackage-lock.json\npaste-from-clipboard.ts\nvendor\nwechat-agent-browser.ts\nwechat-api.ts\nwechat-article.ts\nwechat-browser.ts\nwechat-extend-config.ts","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779159943839},{"role":"assistant","content":[{"type":"text","text":"The wechat-api.ts references `md-to-wechat.ts` via `import.meta.url` relative path. I need to copy the full baoyu-post-to-wechat scripts directory to the fabu workspace, or better yet, let me create a proper symlink:"},{"type":"toolCall","id":"call_00_aGNzs8Yq12L7HJBZFQzR8932","name":"exec","arguments":{"command":"cd /root/.openclaw/workspace/fabu && ln -sf /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/md-to-wechat.ts . && ls -la md-to-wechat.ts"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":129,"output":154,"cacheRead":23680,"cacheWrite":0,"totalTokens":23963,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779159943841,"responseId":"0f4be215-8fb0-48e8-b93e-1c53c2846dba"},{"role":"toolResult","toolCallId":"call_00_aGNzs8Yq12L7HJBZFQzR8932","toolName":"exec","content":[{"type":"text","text":"lrwxrwxrwx 1 root root 88 May 19 11:05 md-to-wechat.ts -> /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/md-to-wechat.ts"}],"details":{"status":"completed","exitCode":0,"durationMs":55,"aggregated":"lrwxrwxrwx 1 root root 88 May 19 11:05 md-to-wechat.ts -> /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/md-to-wechat.ts","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779159946273},{"role":"assistant","content":[{"type":"text","text":"But the script also has sub-imports. Let me check what `md-to-wechat.ts` imports:"},{"type":"toolCall","id":"call_00_C50HwmtD6Kl73Zgf0VHA6494","name":"exec","arguments":{"command":"head -30 /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/md-to-wechat.ts"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":97,"output":98,"cacheRead":23936,"cacheWrite":0,"totalTokens":24131,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779159946274,"responseId":"1001a7f0-a720-4eed-9c38-57ebc6f802e6"},{"role":"toolResult","toolCallId":"call_00_C50HwmtD6Kl73Zgf0VHA6494","toolName":"exec","content":[{"type":"text","text":"import fs from \"node:fs\";\nimport os from \"node:os\";\nimport path from \"node:path\";\nimport process from \"node:process\";\n\nimport {\n extractSummaryFromBody,\n extractTitleFromMarkdown,\n parseFrontmatter,\n renderMarkdownDocument,\n replaceMarkdownImagesWithPlaceholders,\n resolveColorToken,\n resolveContentImages,\n serializeFrontmatter,\n stripWrappingQuotes,\n} from \"baoyu-md\";\n\ninterface ImageInfo {\n placeholder: string;\n localPath: string;\n originalPath: string;\n}\n\ninterface ParsedResult {\n title: string;\n author: string;\n summary: string;\n htmlPath: string;\n contentImages: ImageInfo[];\n}"}],"details":{"status":"completed","exitCode":0,"durationMs":54,"aggregated":"import fs from \"node:fs\";\nimport os from \"node:os\";\nimport path from \"node:path\";\nimport process from \"node:process\";\n\nimport {\n extractSummaryFromBody,\n extractTitleFromMarkdown,\n parseFrontmatter,\n renderMarkdownDocument,\n replaceMarkdownImagesWithPlaceholders,\n resolveColorToken,\n resolveContentImages,\n serializeFrontmatter,\n stripWrappingQuotes,\n} from \"baoyu-md\";\n\ninterface ImageInfo {\n placeholder: string;\n localPath: string;\n originalPath: string;\n}\n\ninterface ParsedResult {\n title: string;\n author: string;\n summary: string;\n htmlPath: string;\n contentImages: ImageInfo[];\n}","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779159948514},{"role":"assistant","content":[{"type":"text","text":"It imports from `baoyu-md` package. Let me check if this package exists:"},{"type":"toolCall","id":"call_00_305n1Trz5LrsQQwuclTW9422","name":"exec","arguments":{"command":"ls /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/node_modules/ 2>/dev/null; cat /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/package.json 2>/dev/null"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":233,"output":130,"cacheRead":24064,"cacheWrite":0,"totalTokens":24427,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779159948516,"responseId":"7d4028c9-bbd8-4b47-a18c-d55273b08c09"},{"role":"toolResult","toolCallId":"call_00_305n1Trz5LrsQQwuclTW9422","toolName":"exec","content":[{"type":"text","text":"ansi-colors\nargparse\nbail\nbaoyu-chrome-cdp\nbaoyu-md\nboolbase\ncharacter-entities\ncheerio\ncheerio-select\ncommander\ncss-select\ncss-what\ndebug\ndecode-named-character-reference\ndequal\ndevlop\ndomelementtype\ndomhandler\ndom-serializer\ndomutils\nencoding-sniffer\nentities\nescape-goat\nesprima\nextend\nfflate\nfront-matter\nget-east-asian-width\nhighlight.js\nhtmlparser2\niconv-lite\nis-plain-obj\njs-yaml\njuice\nlongest-streak\nmarked\nmdast-util-from-markdown\nmdast-util-phrasing\nmdast-util-to-markdown\nmdast-util-to-string\nmensch\nmetaweblog-api\nmicromark\nmicromark-core-commonmark\nmicromark-extension-cjk-friendly\nmicromark-extension-cjk-friendly-util\nmicromark-factory-destination\nmicromark-factory-label\nmicromark-factory-space\nmicromark-factory-title\nmicromark-factory-whitespace\nmicromark-util-character\nmicromark-util-chunked\nmicromark-util-classify-character\nmicromark-util-combine-extensions\nmicromark-util-decode-numeric-character-reference\nmicromark-util-decode-string\nmicromark-util-encode\nmicromark-util-html-tag-name\nmicromark-util-normalize-identifier\nmicromark-util-resolve-all\nmicromark-util-sanitize-uri\nmicromark-util-subtokenize\nmicromark-util-symbol\nmicromark-util-types\nmime\nms\nnth-check\nparse5\nparse5-htmlparser2-tree-adapter\nparse5-parser-stream\nreading-time\nremark-cjk-friendly\nremark-parse\nremark-stringify\nsafer-buffer\nsax\nslick\nsprintf-js\ntrough\n@types\nundici\nunified\nunist-util-is\nunist-util-stringify-position\nunist-util-visit\nunist-util-visit-parents\nvalid-data-url\nvfile\nvfile-message\nweb-resource-inliner\nwhatwg-encoding\nwhatwg-mimetype\nxmlbuilder\nxmlrpc\nzwitch\n{\n \"name\": \"baoyu-post-to-wechat-scripts\",\n \"private\": true,\n \"type\": \"module\",\n \"dependencies\": {\n \"baoyu-chrome-cdp\": \"file:./vendor/baoyu-chrome-cdp\",\n \"baoyu-md\": \"file:./vendor/baoyu-md\",\n \"metaweblog-api\": \"^1.2.0\"\n }\n}"}],"details":{"status":"completed","exitCode":0,"durationMs":89,"aggregated":"ansi-colors\nargparse\nbail\nbaoyu-chrome-cdp\nbaoyu-md\nboolbase\ncharacter-entities\ncheerio\ncheerio-select\ncommander\ncss-select\ncss-what\ndebug\ndecode-named-character-reference\ndequal\ndevlop\ndomelementtype\ndomhandler\ndom-serializer\ndomutils\nencoding-sniffer\nentities\nescape-goat\nesprima\nextend\nfflate\nfront-matter\nget-east-asian-width\nhighlight.js\nhtmlparser2\niconv-lite\nis-plain-obj\njs-yaml\njuice\nlongest-streak\nmarked\nmdast-util-from-markdown\nmdast-util-phrasing\nmdast-util-to-markdown\nmdast-util-to-string\nmensch\nmetaweblog-api\nmicromark\nmicromark-core-commonmark\nmicromark-extension-cjk-friendly\nmicromark-extension-cjk-friendly-util\nmicromark-factory-destination\nmicromark-factory-label\nmicromark-factory-space\nmicromark-factory-title\nmicromark-factory-whitespace\nmicromark-util-character\nmicromark-util-chunked\nmicromark-util-classify-character\nmicromark-util-combine-extensions\nmicromark-util-decode-numeric-character-reference\nmicromark-util-decode-string\nmicromark-util-encode\nmicromark-util-html-tag-name\nmicromark-util-normalize-identifier\nmicromark-util-resolve-all\nmicromark-util-sanitize-uri\nmicromark-util-subtokenize\nmicromark-util-symbol\nmicromark-util-types\nmime\nms\nnth-check\nparse5\nparse5-htmlparser2-tree-adapter\nparse5-parser-stream\nreading-time\nremark-cjk-friendly\nremark-parse\nremark-stringify\nsafer-buffer\nsax\nslick\nsprintf-js\ntrough\n@types\nundici\nunified\nunist-util-is\nunist-util-stringify-position\nunist-util-visit\nunist-util-visit-parents\nvalid-data-url\nvfile\nvfile-message\nweb-resource-inliner\nwhatwg-encoding\nwhatwg-mimetype\nxmlbuilder\nxmlrpc\nzwitch\n{\n \"name\": \"baoyu-post-to-wechat-scripts\",\n \"private\": true,\n \"type\": \"module\",\n \"dependencies\": {\n \"baoyu-chrome-cdp\": \"file:./vendor/baoyu-chrome-cdp\",\n \"baoyu-md\": \"file:./vendor/baoyu-md\",\n \"metaweblog-api\": \"^1.2.0\"\n }\n}","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779159950442},{"role":"assistant","content":[{"type":"text","text":"The dependencies are in the scripts' `node_modules`. But the wechat-api.ts is in the fabu workspace root and doesn't have the node_modules with `baoyu-md`. However, looking at the wechat-api.ts more carefully, it spawns `md-to-wechat.ts` via `npx bun` with `cwd: baseDir` (the markdown file's directory). Let me check what `--cwd` it uses... Actually the `cwd` is `baseDir` which is `path.dirname(markdownPath)` = `/root/.openclaw/agents/101/workspace/post-to-wechat/20260519/`.\n\nThe script will look for `md-to-wechat.ts` relative to its own location via `import.meta.url`. So when we call it from fabu workspace, it uses the symlink. But the spawned `md-to-wechat.ts` will look for its dependencies...\n\nLet me just run it properly by running from the scripts directory where all dependencies exist:"},{"type":"toolCall","id":"call_00_igv17x5oJQzzOsfxEUBb3143","name":"exec","arguments":{"command":"cd /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts && WECHAT_APP_ID=<redacted> WECHAT_APP_SECRET=<redacted> \\\n bun ./wechat-api.ts \\\n \"/root/.openclaw/agents/101/workspace/post-to-wechat/20260519/马斯克诉OpenAI-支持立场-20260519.md\" \\\n --title \"OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题\" \\\n --theme modern --color vermilion --author \"ai张三疯\" --cover /root/imgs/business/cover.jpg 2>&1","timeout":120}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":735,"output":445,"cacheRead":24320,"cacheWrite":0,"totalTokens":25500,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779159950443,"responseId":"bdcd9ac7-8a8a-4f56-b6c8-bb0ac83c9c9c"},{"role":"toolResult","toolCallId":"call_00_igv17x5oJQzzOsfxEUBb3143","toolName":"exec","content":[{"type":"text","text":"Command still running (session gentle-harbor, pid 773774). Use process (list/poll/log/write/kill/clear/remove) for follow-up."}],"details":{"status":"running","sessionId":"gentle-harbor","pid":773774,"startedAt":1779159956212,"cwd":"/root/.openclaw/workspace/fabu","tail":"[wechat-api] Theme: modern, color: vermilion, citeStatus: true\n[wechat-api] Rendering markdown with placeholders via md-to-wechat: modern, color: vermilion, citeStatus: true\n[wechat-api] HTML generated: /tmp/wechat-article-images-cif0FM/temp-article.html\n[wechat-api] Placeholder images: 1\n[wechat-api] Title: OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题\n[wechat-api] Author: ai张三疯\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 placeholder image: /images/ads/OPC一人公司/1.jpg\n[wechat-api] Failed to upload placeholder WECHATIMGPH_1: 98 | const resolvedPath = path.isAbsolute(imagePath)\n 99 | ? imagePath\n100 | : path.resolve(baseDir || process.cwd(), imagePath);\n101 | \n102 | if (!fs.existsSync(resolvedPath)) {\n103 | throw new Error(`Image not found: ${resolvedPath}`);\n ^\nerror: Image not found: /images/ads/OPC一人公司/1.jpg\n at uploadImage (/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts:103:17)\n at uploadImagesInHtml (/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts:218:22)\n at main (/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts:596:68)\n\n[wechat-api] Uploading cover: /root/imgs/business/cover.jpg\n[wechat-api] Publishing to draft...\n{\n \"success\": true,\n \"media_id\": \"imBwNhfy9Uv4ps2luE5gft4MBP5wM7ly7NeQSAVRBpvhgYcNizR20m9w7uEuAKAc\",\n \"title\": \"OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题\",\n \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gft4MBP5wM7ly7NeQSAVRBpvhgYcNizR20m9w7uEuAKAc\n"},"isError":false,"timestamp":1779159966296},{"role":"assistant","content":[{"type":"toolCall","id":"call_00_Tz2RDad25v6K8RfWmPco9651","name":"process","arguments":{"sessionId":"gentle-harbor","timeout":120000,"action":"poll"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":74,"output":81,"cacheRead":25472,"cacheWrite":0,"totalTokens":25627,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779159966298,"responseId":"ee019e0b-d8fb-47b3-9e7c-2b86e03fbe59"},{"role":"toolResult","toolCallId":"call_00_Tz2RDad25v6K8RfWmPco9651","toolName":"process","content":[{"type":"text","text":"[wechat-api] Theme: modern, color: vermilion, citeStatus: true\n[wechat-api] Rendering markdown with placeholders via md-to-wechat: modern, color: vermilion, citeStatus: true\n[wechat-api] HTML generated: /tmp/wechat-article-images-cif0FM/temp-article.html\n[wechat-api] Placeholder images: 1\n[wechat-api] Title: OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题\n[wechat-api] Author: ai张三疯\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 placeholder image: /images/ads/OPC一人公司/1.jpg\n[wechat-api] Failed to upload placeholder WECHATIMGPH_1: 98 | const resolvedPath = path.isAbsolute(imagePath)\n 99 | ? imagePath\n100 | : path.resolve(baseDir || process.cwd(), imagePath);\n101 | \n102 | if (!fs.existsSync(resolvedPath)) {\n103 | throw new Error(`Image not found: ${resolvedPath}`);\n ^\nerror: Image not found: /images/ads/OPC一人公司/1.jpg\n at uploadImage (/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts:103:17)\n at uploadImagesInHtml (/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts:218:22)\n at main (/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts:596:68)\n\n[wechat-api] Uploading cover: /root/imgs/business/cover.jpg\n[wechat-api] Publishing to draft...\n{\n \"success\": true,\n \"media_id\": \"imBwNhfy9Uv4ps2luE5gft4MBP5wM7ly7NeQSAVRBpvhgYcNizR20m9w7uEuAKAc\",\n \"title\": \"OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题\",\n \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gft4MBP5wM7ly7NeQSAVRBpvhgYcNizR20m9w7uEuAKAc\n\n\nProcess exited with code 0."}],"details":{"status":"completed","sessionId":"gentle-harbor","exitCode":0,"aggregated":"[wechat-api] Theme: modern, color: vermilion, citeStatus: true\n[wechat-api] Rendering markdown with placeholders via md-to-wechat: modern, color: vermilion, citeStatus: true\n[wechat-api] HTML generated: /tmp/wechat-article-images-cif0FM/temp-article.html\n[wechat-api] Placeholder images: 1\n[wechat-api] Title: OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题\n[wechat-api] Author: ai张三疯\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 placeholder image: /images/ads/OPC一人公司/1.jpg\n[wechat-api] Failed to upload placeholder WECHATIMGPH_1: 98 | const resolvedPath = path.isAbsolute(imagePath)\n 99 | ? imagePath\n100 | : path.resolve(baseDir || process.cwd(), imagePath);\n101 | \n102 | if (!fs.existsSync(resolvedPath)) {\n103 | throw new Error(`Image not found: ${resolvedPath}`);\n ^\nerror: Image not found: /images/ads/OPC一人公司/1.jpg\n at uploadImage (/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts:103:17)\n at uploadImagesInHtml (/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts:218:22)\n at main (/root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/wechat-api.ts:596:68)\n\n[wechat-api] Uploading cover: /root/imgs/business/cover.jpg\n[wechat-api] Publishing to draft...\n{\n \"success\": true,\n \"media_id\": \"imBwNhfy9Uv4ps2luE5gft4MBP5wM7ly7NeQSAVRBpvhgYcNizR20m9w7uEuAKAc\",\n \"title\": \"OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题\",\n \"articleType\": \"news\"\n}\n[wechat-api] Published successfully! media_id: imBwNhfy9Uv4ps2luE5gft4MBP5wM7ly7NeQSAVRBpvhgYcNizR20m9w7uEuAKAc\n","name":"cd /root/.openclaw/agents...post-to-wechat/scripts"},"isError":false,"timestamp":1779159967719},{"role":"assistant","content":[{"type":"text","text":"**公众号发布成功！** media_id: `imBwNhfy9Uv4ps2luE5gft4MBP5wM7ly7NeQSAVRBpvhgYcNizR20m9w7uEuAKAc`\n\nThe OPC一人公司 image wasn't found locally, but the cover image uploaded fine and the article was published as a draft successfully.\n\nNow let me create the website publishing script for Z-Blog:"},{"type":"toolCall","id":"call_00_HU54yJtxgiqMExc4wy8y6462","name":"read","arguments":{"path":"/tmp/马斯克诉OpenAI-支持立场-20260519.html"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":657,"output":154,"cacheRead":25600,"cacheWrite":0,"totalTokens":26411,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779159967721,"responseId":"7550de16-6af0-4345-9254-6c4e752b0b42"},{"role":"toolResult","toolCallId":"call_00_HU54yJtxgiqMExc4wy8y6462","toolName":"read","content":[{"type":"text","text":"<h1>OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题</h1>\n<p>想象这样一个画面：</p>\n<p>加州奥克兰联邦法院，九人陪审团走进会议室。不到两小时——有人刚够吃完一个午餐的三明治——他们回来了。</p>\n<p>一致决定：驳回马斯克对OpenAI及山姆·奥特曼的所有指控。</p>\n<p>理由只有一个：诉讼时效已过。</p>\n<p>OpenAI的律师团队在法庭内相互拥抱庆祝。就像刚赢了一场生死攸关的决赛。马斯克的两位律师走出法庭，面对记者只说了两个字：</p>\n<p>\"上诉。\"</p>\n<p>一个字的解释都没有，一个表情都懒得多给。</p>\n<p><strong>这场官司在法律上结束了。但在道理上，才刚刚开始。</strong></p>\n<h2 id=\"_1\">法庭没有回答那个问题</h2>\n<p>很多人看到新闻标题\"马斯克诉OpenAI被驳回\"，会本能地认为：OpenAI赢了，说明它没问题。</p>\n<p>但法律玩了一个精巧的文字游戏。</p>\n<p>诉讼时效——这是个程序问题，不是实体判决。意思是说：法庭根本没去判断\"OpenAI到底有没有背离初心\"，它只是说：你告得太晚了，我们不审了。</p>\n<p><strong>这就像一个法官对你说：\"我不说你有没有犯错，我只说你来投诉的时间不对。\"</strong></p>\n<p>这不是实质性的清白。这是程序性的回避。</p>\n<p>你要理解诉讼时效为什么存在——是为了防止证据灭失、防止\"陈年旧账\"无休止地翻出来。在绝大多数商业纠纷里，这个制度是合理的。</p>\n<p>但放在OpenAI身上，事情没那么简单。</p>\n<h2 id=\"_2\">一个拿了公共资源的\"公益组织\"</h2>\n<p>让我们回到2015年。</p>\n<p>OpenAI成立时的定位是什么？</p>\n<p><strong>非营利组织。</strong> 以\"为了全人类的福祉\"为使命。不受商业利益驱动。确保人工智能的发展方向不被股东利益绑架。</p>\n<p>马斯克是创始捐赠人之一，他捐了4500万美元。为什么？因为他相信这个使命。</p>\n<p>他当时在公开场合说过：AI领域最危险的事，就是被少数几个商业巨头垄断。OpenAI要做的是\"去中心化、为了全人类\"的那条路。</p>\n<p>2019年，转折发生了。</p>\n<p>OpenAI成立了\"有上限利润\"的营利实体。理由是：训练AI太烧钱了，非营利模式融不到那么多资金。</p>\n<p>听起来合理。但问题在于：</p>\n<p><strong>当初拿着\"公益\"的金字招牌，享受了非营利组织的各种政策红利——包括税收优惠、公共信任、顶级人才的以\"使命感\"加入——然后转身说\"我改主意了\"，这个过程，不需要被审视吗？</strong></p>\n<p>一个类比：假如你所在的小区里有一所\"公益学校\"，家长们捐款捐物，政府给了地皮和税收减免，都因为它的章程写着\"不以营利为目的\"。十年后，学校突然宣布：我们以后按商业公司运营，学费涨十倍，利润归股东。</p>\n<p>家长们不能质问一句？不能问一句\"当初说好的事呢\"？</p>\n<p>如果这所学校说：\"你十年前捐的钱，现在不能告我，因为诉讼时效过了。\"——你会觉得这合理吗？</p>\n<h2 id=\"_3\">黄仁勋的噩梦，奥特曼的选择</h2>\n<p>很多人说马斯克起诉OpenAI是因为\"他嫉妒\"——因为OpenAI做成了，而他自己的人工智能项目xAI才刚起步。</p>\n<p>这个说法不是完全没有道理。马斯克是人，当然有人性的复杂面。</p>\n<p><strong>但你不能因为一个人可能\"有私心\"，就否定他提出的问题本身有没有道理。</strong></p>\n<p>其实，真正有意思的角度在于：OpenAI的转型，反映了整个AI行业的一个根本矛盾——\"公益初心\"和\"烧钱现实\"之间的撕裂。</p>\n<p>OpenAI不是第一个，也不会是最后一个。</p>\n<p>训练大模型需要几十亿、上百亿美元。如果你是非营利组织，你怎么融到这笔钱？VC不会投一家只能做慈善的公司。所以你必须变成营利机构。</p>\n<p>这个逻辑链条很清晰。但问题在于：<strong>这个转变，应该在阳光下进行，不应该在诉讼时效的技术性条款里悄悄掩盖。</strong></p>\n<p>如果2019年OpenAI说\"我们要成立营利子公司了，同时我们会保障最初的公益承诺仍然有约束力\"，和现在\"我们就是一家商业公司，估值数千亿\"——中间隔着的，不只是钱，还有信任。</p>\n<h2 id=\"_4\">这件事对创业者的真正启示</h2>\n<p>写到这里，我想说说这件事对我们创业者的意义。</p>\n<p>因为创业圈里，类似的\"初心漂移\"其实每天都在发生。</p>\n<p>很多创始人起步时做to B，后来转了to C。刚开始说\"工具免费\"，后来悄悄收费。早期说\"我们不收割用户\"，后来开始做流量变现。</p>\n<p><strong>转变本身没有错。商业就是在动态中调整的。</strong></p>\n<p>问题在于：这个转变的过程，是透明的、坦荡的，还是遮遮掩掩、等没人记得了再翻篇？</p>\n<p>OpenAI案最让人不安的地方，不是它变成了商业公司，而是它用\"诉讼时效过了\"这个技术性理由，回避了\"当初的承诺还算不算数\"这个根本问题。</p>\n<p><strong>对创业者来说，这是个很好的提醒：</strong></p>\n<p>你可以改变方向。你可以调整商业模式。你甚至可以从公益变成营利。</p>\n<p>但别用\"太久以前的事\"来搪塞那些曾经信任你的人。</p>\n<p>因为信任这东西，诉讼时效永远不会过。</p>\n<hr>\n<p><em>顺便说一句：创业的路上，每个选择背后都是认知和格局的较量。如果你也在思考商业模式的边界和初心的平衡，欢迎关注我的深度内容系列——我们一起拆解那些值得反思的商业故事。</em></p>\n<p><img alt=\"OPC一人公司\" src=\"/images/ads/OPC一人公司/1.jpg\"></p>\n<p><em>（本文首发于创业思维网 weixinsiwei.com，转载请联系授权。）</em></p>\n"}],"isError":false,"timestamp":1779159970414},{"role":"assistant","content":[{"type":"text","text":"Now let me create the Z-Blog publish script. I need to check what's available for XML-RPC:"},{"type":"toolCall","id":"call_00_WjXDS5Q0E1GIWr6MJATn2008","name":"exec","arguments":{"command":"ls /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/node_modules/metaweblog-api/ 2>/dev/null; cat /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/node_modules/metaweblog-api/package.json 2>/dev/null"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":1460,"output":146,"cacheRead":26368,"cacheWrite":0,"totalTokens":27974,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779159970415,"responseId":"70054e70-46e5-46e0-a92f-15ff134ed4c3"},{"role":"toolResult","toolCallId":"call_00_WjXDS5Q0E1GIWr6MJATn2008","toolName":"exec","content":[{"type":"text","text":"lib\nLICENSE\npackage.json\nREADME.md\ntests\n{\n \"name\": \"metaweblog-api\",\n \"version\": \"1.2.0\",\n \"description\": \"MetaWeblog API for node.js\",\n \"main\": \"./lib/metaweblog-api.js\",\n \"typings\": \"./lib/metaweblog-api.d.ts\",\n \"directories\": {\n \"test\": \"tests\"\n },\n \"dependencies\": {\n \"@types/es6-promise\": \"0.0.28\",\n \"@types/node\": \"^6.0.31\",\n \"xmlrpc\": \"^1.3.2\"\n },\n \"devDependencies\": {},\n \"scripts\": {\n \"test\": \"node tests/test.js\"\n },\n \"repository\": {\n \"type\": \"git\",\n \"url\": \"git+https://github.com/uhavemyword/metaweblog-api.git\"\n },\n \"keywords\": [\n \"MetaWeblog\",\n \"API\"\n ],\n \"author\": \"Peng Chen <peng-chen@live.com> (https://github.com/uhavemyword)\",\n \"license\": \"MIT\",\n \"bugs\": {\n \"url\": \"https://github.com/uhavemyword/metaweblog-api/issues\"\n },\n \"homepage\": \"https://github.com/uhavemyword/metaweblog-api#readme\"\n}"}],"details":{"status":"completed","exitCode":0,"durationMs":106,"aggregated":"lib\nLICENSE\npackage.json\nREADME.md\ntests\n{\n \"name\": \"metaweblog-api\",\n \"version\": \"1.2.0\",\n \"description\": \"MetaWeblog API for node.js\",\n \"main\": \"./lib/metaweblog-api.js\",\n \"typings\": \"./lib/metaweblog-api.d.ts\",\n \"directories\": {\n \"test\": \"tests\"\n },\n \"dependencies\": {\n \"@types/es6-promise\": \"0.0.28\",\n \"@types/node\": \"^6.0.31\",\n \"xmlrpc\": \"^1.3.2\"\n },\n \"devDependencies\": {},\n \"scripts\": {\n \"test\": \"node tests/test.js\"\n },\n \"repository\": {\n \"type\": \"git\",\n \"url\": \"git+https://github.com/uhavemyword/metaweblog-api.git\"\n },\n \"keywords\": [\n \"MetaWeblog\",\n \"API\"\n ],\n \"author\": \"Peng Chen <peng-chen@live.com> (https://github.com/uhavemyword)\",\n \"license\": \"MIT\",\n \"bugs\": {\n \"url\": \"https://github.com/uhavemyword/metaweblog-api/issues\"\n },\n \"homepage\": \"https://github.com/uhavemyword/metaweblog-api#readme\"\n}","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779159972824},{"role":"assistant","content":[{"type":"text","text":"I need to handle the case with Z-Blog API specially since `metaweblog-api` is a TypeScript/Node module. Let me write a simple script that uses the `xmlrpc` package directly or uses `metaweblog-api`. Actually, let me check the Z-Blog XML-RPC API more carefully and write the script:"},{"type":"toolCall","id":"call_00_Cwq3UmltUvFE9kgrSC5G7374","name":"exec","arguments":{"command":"cat /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/node_modules/metaweblog-api/lib/metaweblog-api.js 2>/dev/null | head -80"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":385,"output":161,"cacheRead":27904,"cacheWrite":0,"totalTokens":28450,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779159972826,"responseId":"065ddeaa-5d54-40ca-b510-78d91c862a11"},{"role":"toolResult","toolCallId":"call_00_Cwq3UmltUvFE9kgrSC5G7374","toolName":"exec","content":[{"type":"text","text":"/**\r\n * @file MetaWeblog API Documentation\r\n * A Node.js implementaton of MetaWeblog API.\r\n * @author Peng Chen <peng-chen@live.com>\r\n */\r\n\r\n'use strict';\r\n\r\nconst xmlrpc = require('xmlrpc');\r\nconst url = require('url');\r\n\r\n/**\r\n * @constructs MetaWeblog\r\n * @param {String} uri - Server URI to make the HTTP request to.\r\n */\r\nfunction MetaWeblog(uri) {\r\n var urlparts = url.parse(uri);\r\n var secure = urlparts.protocol == 'https:';\r\n var client;\r\n if (secure) {\r\n client = xmlrpc.createSecureClient(uri);\r\n }\r\n else {\r\n client = xmlrpc.createClient(uri);\r\n }\r\n\r\n /*\r\n * Makes an XML-RPC call to the server and returns a Promise.\r\n * @param {String} methodName - The method name.\r\n * @param {Array} params - Params to send in the call.\r\n * @return {Promise<Object|Error>} \r\n */\r\n function methodCall(methodName, params) {\r\n return new Promise(function (resolve, reject) {\r\n client.methodCall(methodName, params, function (error, data) {\r\n if (!error) {\r\n resolve(data);\r\n } else {\r\n reject(error);\r\n }\r\n });\r\n });\r\n }\r\n\r\n /**\r\n * Returns information on all the blogs of a given user.\r\n * @param {String} appKey\r\n * @param {String} username\r\n * @param {String} password\r\n * @return {Promise<BlogInfo[]|Error>}\r\n */\r\n this.getUsersBlogs = function (appKey, username, password) {\r\n return methodCall('blogger.getUsersBlogs', [appKey, username, password]);\r\n };\r\n\r\n /**\r\n * Retrieves a list of the most recent posts.\r\n * @param {String} blogid\r\n * @param {String} username\r\n * @param {String} password\r\n * @param {Number} numberOfPosts\r\n * @return {Promise<Post[]|Error>}\r\n */\r\n this.getRecentPosts = function (blogid, username, password, numberOfPosts) {\r\n return methodCall('metaWeblog.getRecentPosts', [blogid, username, password, numberOfPosts]);\r\n };\r\n\r\n /**\r\n * Retrieves a list of valid categories.\r\n * @param {String} blogid\r\n * @param {String} username\r\n * @param {String} password\r\n * @return {Promise<CategoryInfo[]|Error>}\r\n */\r\n this.getCategories = function (blogid, username, password) {\r\n return methodCall('metaWeblog.getCategories', [blogid, username, password]);\r\n };\r\n\r\n /**\r\n * Gets a post by id."}],"details":{"status":"completed","exitCode":0,"durationMs":67,"aggregated":"/**\r\n * @file MetaWeblog API Documentation\r\n * A Node.js implementaton of MetaWeblog API.\r\n * @author Peng Chen <peng-chen@live.com>\r\n */\r\n\r\n'use strict';\r\n\r\nconst xmlrpc = require('xmlrpc');\r\nconst url = require('url');\r\n\r\n/**\r\n * @constructs MetaWeblog\r\n * @param {String} uri - Server URI to make the HTTP request to.\r\n */\r\nfunction MetaWeblog(uri) {\r\n var urlparts = url.parse(uri);\r\n var secure = urlparts.protocol == 'https:';\r\n var client;\r\n if (secure) {\r\n client = xmlrpc.createSecureClient(uri);\r\n }\r\n else {\r\n client = xmlrpc.createClient(uri);\r\n }\r\n\r\n /*\r\n * Makes an XML-RPC call to the server and returns a Promise.\r\n * @param {String} methodName - The method name.\r\n * @param {Array} params - Params to send in the call.\r\n * @return {Promise<Object|Error>} \r\n */\r\n function methodCall(methodName, params) {\r\n return new Promise(function (resolve, reject) {\r\n client.methodCall(methodName, params, function (error, data) {\r\n if (!error) {\r\n resolve(data);\r\n } else {\r\n reject(error);\r\n }\r\n });\r\n });\r\n }\r\n\r\n /**\r\n * Returns information on all the blogs of a given user.\r\n * @param {String} appKey\r\n * @param {String} username\r\n * @param {String} password\r\n * @return {Promise<BlogInfo[]|Error>}\r\n */\r\n this.getUsersBlogs = function (appKey, username, password) {\r\n return methodCall('blogger.getUsersBlogs', [appKey, username, password]);\r\n };\r\n\r\n /**\r\n * Retrieves a list of the most recent posts.\r\n * @param {String} blogid\r\n * @param {String} username\r\n * @param {String} password\r\n * @param {Number} numberOfPosts\r\n * @return {Promise<Post[]|Error>}\r\n */\r\n this.getRecentPosts = function (blogid, username, password, numberOfPosts) {\r\n return methodCall('metaWeblog.getRecentPosts', [blogid, username, password, numberOfPosts]);\r\n };\r\n\r\n /**\r\n * Retrieves a list of valid categories.\r\n * @param {String} blogid\r\n * @param {String} username\r\n * @param {String} password\r\n * @return {Promise<CategoryInfo[]|Error>}\r\n */\r\n this.getCategories = function (blogid, username, password) {\r\n return methodCall('metaWeblog.getCategories', [blogid, username, password]);\r\n };\r\n\r\n /**\r\n * Gets a post by id.","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779159975353},{"role":"assistant","content":[{"type":"toolCall","id":"call_00_hXYKjSaLCjaW4fxdjg5L0039","name":"exec","arguments":{"command":"cat /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/node_modules/metaweblog-api/lib/metaweblog-api.js 2>/dev/null | tail -80"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":791,"output":91,"cacheRead":28416,"cacheWrite":0,"totalTokens":29298,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779159975355,"responseId":"0ff07126-330b-4fd4-8eee-0654229823dd"},{"role":"toolResult","toolCallId":"call_00_hXYKjSaLCjaW4fxdjg5L0039","toolName":"exec","content":[{"type":"text","text":"*/\r\n this.deletePost = function (appKey, postid, username, password, publish) {\r\n return methodCall('blogger.deletePost', [appKey, postid, username, password, publish]);\r\n };\r\n\r\n /**\r\n * Uploads a new file.\r\n * @param {String} blogid\r\n * @param {String} username\r\n * @param {String} password\r\n * @param {MediaObject} mediaObject\r\n * @return {Promise<MediaObject|Error>}\r\n */\r\n this.newMediaObject = function (blogid, username, password, mediaObject) {\r\n return methodCall('metaWeblog.newMediaObject', [blogid, username, password, mediaObject]);\r\n };\r\n};\r\n\r\nexports = module.exports = MetaWeblog;\r\n\r\n/**\r\n * Struct BlogInfo\r\n * @typedef {Object} BlogInfo\r\n * @property {String} blogid\r\n * @property {String} url\r\n * @property {String} blogName\r\n */\r\n\r\n/**\r\n * Struct Post\r\n * @typedef {Object} Post\r\n * @property {Date} dateCreated - Required when posting.\r\n * @property {String} description - Required when posting.\r\n * @property {String} title - Required when posting.\r\n * @property {String[]} [categories]\r\n * @property {String} [link]\r\n * @property {String} [permalink]\r\n * @property {String} [postid]\r\n * @property {Source} [source]\r\n * @property {String} [userid]\r\n * @property {any} [...] - other properties not listed in this doc.\r\n */\r\n\r\n/**\r\n * Struct CategoryInfo\r\n * @typedef {Object} CategoryInfo\r\n * @property {String} description\r\n * @property {String} htmlUrl\r\n * @property {String} rssUrl\r\n * @property {String} title\r\n * @property {String} categoryid\r\n */\r\n\r\n/**\r\n * Struct MediaObject\r\n * @typedef {Object} MediaObject\r\n * @property {String} name\r\n * @property {String} type\r\n * @property {base64} bits\r\n */\r\n\r\n/**\r\n * Struct Source\r\n * @typedef {Object} Source\r\n * @property {String} [name]\r\n * @property {String} [url]\r\n */\r\n\r\n/**\r\n * Struct UrlData\r\n * @typedef {Object} UrlData\r\n * @property {String} url\r\n */\r\n\r\n/**\r\n * Struct Error\r\n * @typedef {Object} Error\r\n * @property {String} faultCode\r\n * @property {String} faultString\r\n */"}],"details":{"status":"completed","exitCode":0,"durationMs":57,"aggregated":"*/\r\n this.deletePost = function (appKey, postid, username, password, publish) {\r\n return methodCall('blogger.deletePost', [appKey, postid, username, password, publish]);\r\n };\r\n\r\n /**\r\n * Uploads a new file.\r\n * @param {String} blogid\r\n * @param {String} username\r\n * @param {String} password\r\n * @param {MediaObject} mediaObject\r\n * @return {Promise<MediaObject|Error>}\r\n */\r\n this.newMediaObject = function (blogid, username, password, mediaObject) {\r\n return methodCall('metaWeblog.newMediaObject', [blogid, username, password, mediaObject]);\r\n };\r\n};\r\n\r\nexports = module.exports = MetaWeblog;\r\n\r\n/**\r\n * Struct BlogInfo\r\n * @typedef {Object} BlogInfo\r\n * @property {String} blogid\r\n * @property {String} url\r\n * @property {String} blogName\r\n */\r\n\r\n/**\r\n * Struct Post\r\n * @typedef {Object} Post\r\n * @property {Date} dateCreated - Required when posting.\r\n * @property {String} description - Required when posting.\r\n * @property {String} title - Required when posting.\r\n * @property {String[]} [categories]\r\n * @property {String} [link]\r\n * @property {String} [permalink]\r\n * @property {String} [postid]\r\n * @property {Source} [source]\r\n * @property {String} [userid]\r\n * @property {any} [...] - other properties not listed in this doc.\r\n */\r\n\r\n/**\r\n * Struct CategoryInfo\r\n * @typedef {Object} CategoryInfo\r\n * @property {String} description\r\n * @property {String} htmlUrl\r\n * @property {String} rssUrl\r\n * @property {String} title\r\n * @property {String} categoryid\r\n */\r\n\r\n/**\r\n * Struct MediaObject\r\n * @typedef {Object} MediaObject\r\n * @property {String} name\r\n * @property {String} type\r\n * @property {base64} bits\r\n */\r\n\r\n/**\r\n * Struct Source\r\n * @typedef {Object} Source\r\n * @property {String} [name]\r\n * @property {String} [url]\r\n */\r\n\r\n/**\r\n * Struct UrlData\r\n * @typedef {Object} UrlData\r\n * @property {String} url\r\n */\r\n\r\n/**\r\n * Struct Error\r\n * @typedef {Object} Error\r\n * @property {String} faultCode\r\n * @property {String} faultString\r\n */","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779159976997},{"role":"assistant","content":[{"type":"text","text":"Now let me write the Z-Blog publish script. Let me check the complete newPost method signature:"},{"type":"toolCall","id":"call_00_Bsp02oCtQlUWW6ZSPfNa5046","name":"exec","arguments":{"command":"cat /root/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/node_modules/metaweblog-api/lib/metaweblog-api.js 2>/dev/null | grep -A 30 \"newPost\""}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":771,"output":117,"cacheRead":29184,"cacheWrite":0,"totalTokens":30072,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779159976998,"responseId":"884d6b39-a49a-4dfa-938c-1f8627552845"},{"role":"toolResult","toolCallId":"call_00_Bsp02oCtQlUWW6ZSPfNa5046","toolName":"exec","content":[{"type":"text","text":"this.newPost = function (blogid, username, password, post, publish) {\r\n return methodCall('metaWeblog.newPost', [blogid, username, password, post, publish]);\r\n };\r\n\r\n /**\r\n * Deletes a post.\r\n * @param {String} appKey\r\n * @param {String} postid\r\n * @param {String} username\r\n * @param {String} password\r\n * @param {Boolean} publish\r\n * @return {Promise<Boolean|Error>} success or error\r\n */\r\n this.deletePost = function (appKey, postid, username, password, publish) {\r\n return methodCall('blogger.deletePost', [appKey, postid, username, password, publish]);\r\n };\r\n\r\n /**\r\n * Uploads a new file.\r\n * @param {String} blogid\r\n * @param {String} username\r\n * @param {String} password\r\n * @param {MediaObject} mediaObject\r\n * @return {Promise<MediaObject|Error>}\r\n */\r\n this.newMediaObject = function (blogid, username, password, mediaObject) {\r\n return methodCall('metaWeblog.newMediaObject', [blogid, username, password, mediaObject]);\r\n };\r\n};\r\n\r\nexports = module.exports = MetaWeblog;"}],"details":{"status":"completed","exitCode":0,"durationMs":60,"aggregated":"this.newPost = function (blogid, username, password, post, publish) {\r\n return methodCall('metaWeblog.newPost', [blogid, username, password, post, publish]);\r\n };\r\n\r\n /**\r\n * Deletes a post.\r\n * @param {String} appKey\r\n * @param {String} postid\r\n * @param {String} username\r\n * @param {String} password\r\n * @param {Boolean} publish\r\n * @return {Promise<Boolean|Error>} success or error\r\n */\r\n this.deletePost = function (appKey, postid, username, password, publish) {\r\n return methodCall('blogger.deletePost', [appKey, postid, username, password, publish]);\r\n };\r\n\r\n /**\r\n * Uploads a new file.\r\n * @param {String} blogid\r\n * @param {String} username\r\n * @param {String} password\r\n * @param {MediaObject} mediaObject\r\n * @return {Promise<MediaObject|Error>}\r\n */\r\n this.newMediaObject = function (blogid, username, password, mediaObject) {\r\n return methodCall('metaWeblog.newMediaObject', [blogid, username, password, mediaObject]);\r\n };\r\n};\r\n\r\nexports = module.exports = MetaWeblog;","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779159979140},{"role":"assistant","content":[{"type":"text","text":"Now let me create the publish script:"},{"type":"toolCall","id":"call_00_WQ3frBDyKChLybBVOrfr9286","name":"write","arguments":{"path":"/root/.openclaw/workspace/fabu/publish-musk-openai.js","content":"#!/usr/bin/env node\n/**\n * Publish \"马斯克诉OpenAI\" article to weixinsiwei.com (Z-Blog) via MetaWeblog API\n * \n * Z-Blog XML-RPC: https://weixinsiwei.com/zb_system/xml-rpc/index.php\n * Account: admin / 135269zxj\n * blogId: 68ba1ff10060dd54f1e399b8e332bdba\n */\n\nimport { readFileSync } from \"node:fs\";\n\n// Z-Blog MetaWeblog API endpoint\nconst API_URL = \"https://weixinsiwei.com/zb_system/xml-rpc/index.php\";\n\n// Credentials\nconst BLOG_ID = \"68ba1ff10060dd54f1e399b8e332bdba\";\nconst USERNAME = \"admin\";\nconst PASSWORD = \"135269zxj\";\n\n// Article\nconst TITLE = \"OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题\";\nconst HTML_FILE = \"/tmp/马斯克诉OpenAI-支持立场-20260519.html\";\n\nasync function makeXmlRpcCall(method, params) {\n // Build XML-RPC request manually\n const xml = buildXmlRpcRequest(method, params);\n\n const response = await fetch(API_URL, {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"text/xml; charset=utf-8\",\n \"User-Agent\": \"Mozilla/5.0 (compatible; OpenClaw/1.0)\",\n },\n body: xml,\n });\n\n const text = await response.text();\n return parseXmlRpcResponse(text);\n}\n\nfunction buildXmlRpcRequest(methodName, params) {\n let paramXml = \"\";\n for (const p of params) {\n paramXml += \"<param>\" + valueToXml(p) + \"</param>\\n\";\n }\n\n return `<?xml version=\"1.0\"?>\n<methodCall>\n <methodName>${escapeXml(methodName)}</methodName>\n <params>\n${paramXml}\n </params>\n</methodCall>`;\n}\n\nfunction valueToXml(value) {\n if (value === null || value === undefined) {\n return \"<value><nil/></value>\";\n }\n if (typeof value === \"boolean\") {\n return `<value><boolean>${value ? 1 : 0}</boolean></value>`;\n }\n if (typeof value === \"number\") {\n if (Number.isInteger(value)) {\n return `<value><int>${value}</int></value>`;\n }\n return `<value><double>${value}</double></value>`;\n }\n if (typeof value === \"string\") {\n return `<value><string>${escapeXml(value)}</string></value>`;\n }\n if (value instanceof Date) {\n return `<value><dateTime.iso8601>${value.toISOString().slice(0, 19)}</dateTime.iso8601></value>`;\n }\n if (Array.isArray(value)) {\n let items = \"\";\n for (const item of value) {\n items += valueToXml(item);\n }\n return `<value><array><data>${items}</data></array></value>`;\n }\n if (typeof value === \"object\") {\n let members = \"\";\n for (const [k, v] of Object.entries(value)) {\n members += `<member><name>${escapeXml(k)}</name>${valueToXml(v)}</member>\\n`;\n }\n return `<value><struct>${members}</struct></value>`;\n }\n return `<value><string>${escapeXml(String(value))}</string></value>`;\n}\n\nfunction escapeXml(s) {\n return String(s)\n .replace(/&/g, \"&\")\n .replace(/</g, \"<\")\n .replace(/>/g, \">\")\n .replace(/\"/g, \""\")\n .replace(/'/g, \"'\");\n}\n\nfunction parseXmlRpcResponse(xml) {\n // Simple XML-RPC response parser - extracts the first value\n const faultMatch = xml.match(/<fault>[\\s\\S]*?<value>([\\s\\S]*?)<\\/value>[\\s\\S]*?<\\/fault>/);\n if (faultMatch) {\n const faultXml = faultMatch[1];\n const faultCode = extractXmlValue(faultXml, \"faultCode\");\n const faultString = extractXmlValue(faultXml, \"faultString\");\n throw new Error(`XML-RPC Fault ${faultCode}: ${faultString}`);\n }\n\n // Extract the result value\n const resultMatch = xml.match(/<params>[\\s\\S]*?<param>[\\s\\S]*?<value>([\\s\\S]*?)<\\/value>[\\s\\S]*?<\\/param>[\\s\\S]*?<\\/params>/);\n if (resultMatch) {\n const valueXml = resultMatch[1];\n return parseXmlValue(valueXml);\n }\n\n // Fallback: return the raw response\n return xml;\n}\n\nfunction extractXmlValue(xml, name) {\n const match = xml.match(new RegExp(`<name>${name}<\\\\/name>\\\\s*<value>\\\\s*<[^>]*>([^<]*)<\\\\/[^>]*>\\\\s*<\\\\/value>`));\n return match ? match[1] : \"\";\n}\n\nfunction parseXmlValue(xml) {\n // string\n const stringMatch = xml.match(/^<string>([\\s\\S]*)<\\/string>$/);\n if (stringMatch) return stringMatch[1];\n\n // int/i4\n const intMatch = xml.match(/^<(?:int|i4)>(\\d+)<\\/\\1>$/);\n if (intMatch) return parseInt(intMatch[1], 10);\n\n // boolean\n const boolMatch = xml.match(/^<boolean>(\\d+)<\\/boolean>$/);\n if (boolMatch) return boolMatch[1] === \"1\";\n\n // double\n const doubleMatch = xml.match(/^<double>([^<]+)<\\/double>$/);\n if (doubleMatch) return parseFloat(doubleMatch[1]);\n\n // struct (for postid result, we just return the full value)\n const structMatch = xml.match(/^<struct>([\\s\\S]*)<\\/struct>$/);\n if (structMatch) {\n // Try to extract postid\n const postIdMatch = xml.match(/<name>postid<\\/name>\\s*<value>\\s*<[^>]*>\\s*([^<]+)\\s*<\\/[^>]*>\\s*<\\/value>/);\n if (postIdMatch) return postIdMatch[1];\n\n // Extract just first meaningful value\n const anyValue = xml.match(/<value>\\s*<[^>]*>\\s*([^<]+)\\s*<\\/[^>]*>\\s*<\\/value>/);\n if (anyValue) return anyValue[1];\n\n return \"unknown\";\n }\n\n // string without explicit tag\n const bareString = xml.match(/^([^<]+)$/);\n if (bareString) return bareString[1].trim();\n\n return xml.trim();\n}\n\nasync function main() {\n console.log(\"=== Publishing to weixinsiwei.com (Z-Blog) ===\");\n console.log(`Title: ${TITLE}`);\n console.log(`API: ${API_URL}`);\n\n // Read HTML content\n const htmlContent = readFileSync(HTML_FILE, \"utf-8\");\n console.log(`HTML content length: ${htmlContent.length} chars`);\n\n // Build post object\n const post = {\n title: TITLE,\n description: htmlContent,\n dateCreated: new Date(),\n categories: [],\n };\n\n console.log(\"Publishing via MetaWeblog newPost...\");\n\n try {\n const result = await makeXmlRpcCall(\"metaWeblog.newPost\", [\n BLOG_ID,\n USERNAME,\n PASSWORD,\n post,\n true, // publish\n ]);\n\n console.log(`\\n✅ Published successfully! Post ID: ${result}`);\n console.log(`URL: https://weixinsiwei.com/post/${result}.html`);\n\n // Verify by fetching recent posts\n console.log(\"\\n=== Verifying: Fetching recent posts ===\");\n const recentPosts = await makeXmlRpcCall(\"metaWeblog.getRecentPosts\", [\n BLOG_ID,\n USERNAME,\n PASSWORD,\n 5,\n ]);\n\n console.log(\"Recent posts response received:\");\n if (typeof recentPosts === \"string\") {\n console.log(`Response (raw): ${recentPosts.slice(0, 500)}`);\n } else {\n console.log(JSON.stringify(recentPosts, null, 2));\n }\n\n return { success: true, postId: result };\n } catch (err) {\n console.error(`\\n❌ Publish failed:`, err.message);\n return { success: false, error: err.message };\n }\n}\n\nmain().catch(err => {\n console.error(\"Fatal error:\", err);\n process.exit(1);\n});\n"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":461,"output":2106,"cacheRead":29952,"cacheWrite":0,"totalTokens":32519,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779159979142,"responseId":"51994d4c-107a-46fd-b0a0-b6fb9ca7be87"},{"role":"toolResult","toolCallId":"call_00_WQ3frBDyKChLybBVOrfr9286","toolName":"write","content":[{"type":"text","text":"Successfully wrote 6464 bytes to /root/.openclaw/workspace/fabu/publish-musk-openai.js"}],"isError":false,"timestamp":1779159998527},{"role":"assistant","content":[{"type":"toolCall","id":"call_00_CynqnDMsp4ATkDkEGVHU6470","name":"exec","arguments":{"command":"cd /root/.openclaw/workspace/fabu && node publish-musk-openai.js 2>&1","timeout":30}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":45,"output":82,"cacheRead":32512,"cacheWrite":0,"totalTokens":32639,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779159998529,"responseId":"5d05d788-90c3-4e74-93a1-030669b05b37"},{"role":"toolResult","toolCallId":"call_00_CynqnDMsp4ATkDkEGVHU6470","toolName":"exec","content":[{"type":"text","text":"=== Publishing to weixinsiwei.com (Z-Blog) ===\nTitle: OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题\nAPI: https://weixinsiwei.com/zb_system/xml-rpc/index.php\nHTML content length: 2599 chars\nPublishing via MetaWeblog newPost...\n\n✅ Published successfully! Post ID: true\nURL: https://weixinsiwei.com/post/true.html\n\n=== Verifying: Fetching recent posts ===\nRecent posts response received:\nResponse (raw): <array><data><value><struct>\r\n<member><name>title</name><value><string>OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题</string>"}],"details":{"status":"completed","exitCode":0,"durationMs":889,"aggregated":"=== Publishing to weixinsiwei.com (Z-Blog) ===\nTitle: OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题\nAPI: https://weixinsiwei.com/zb_system/xml-rpc/index.php\nHTML content length: 2599 chars\nPublishing via MetaWeblog newPost...\n\n✅ Published successfully! Post ID: true\nURL: https://weixinsiwei.com/post/true.html\n\n=== Verifying: Fetching recent posts ===\nRecent posts response received:\nResponse (raw): <array><data><value><struct>\r\n<member><name>title</name><value><string>OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题</string>","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779160000842},{"role":"assistant","content":[{"type":"text","text":"The publishing succeeded but the post ID is `true` instead of an actual ID. This is because Z-Blog's `newPost` returns `true` on success, not the post ID. The post was created. Let me verify the verification got the correct article back:"},{"type":"toolCall","id":"call_00_ckjtg356WwgiKI7kSJdB9041","name":"exec","arguments":{"command":"cd /root/.openclaw/workspace/fabu && cat > verify-posts.js << 'EOF'\n// Verify the article was published by checking recent posts\nconst API_URL = \"https://weixinsiwei.com/zb_system/xml-rpc/index.php\";\nconst BLOG_ID = \"68ba1ff10060dd54f1e399b8e332bdba\";\nconst USERNAME = \"admin\";\nconst PASSWORD = \"135269zxj\";\nconst TITLE = \"OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题\";\n\nfunction escapeXml(s) {\n return String(s).replace(/&/g, \"&\").replace(/</g, \"<\").replace(/>/g, \">\").replace(/\"/g, \""\").replace(/'/g, \"'\");\n}\n\nfunction valueToXml(value) {\n if (value === null || value === undefined) return \"<value><nil/></value>\";\n if (typeof value === \"boolean\") return `<value><boolean>${value ? 1 : 0}</boolean></value>`;\n if (typeof value === \"number\") {\n return Number.isInteger(value) ? `<value><int>${value}</int></value>` : `<value><double>${value}</double></value>`;\n }\n if (typeof value === \"string\") return `<value><string>${escapeXml(value)}</string></value>`;\n if (value instanceof Date) return `<value><dateTime.iso8601>${value.toISOString().slice(0, 19)}</dateTime.iso8601></value>`;\n return `<value><string>${escapeXml(String(value))}</string></value>`;\n}\n\nconst getRecentPostsXml = `<?xml version=\"1.0\"?>\n<methodCall>\n <methodName>metaWeblog.getRecentPosts</methodName>\n <params>\n <param>${valueToXml(BLOG_ID)}</param>\n <param>${valueToXml(USERNAME)}</param>\n <param>${valueToXml(PASSWORD)}</param>\n <param>${valueToXml(5)}</param>\n </params>\n</methodCall>`;\n\nasync function main() {\n const res = await fetch(API_URL, {\n method: \"POST\",\n headers: { \"Content-Type\": \"text/xml; charset=utf-8\" },\n body: getRecentPostsXml,\n });\n const xml = await res.text();\n \n // Extract post titles and IDs\n const posts = [];\n const titleRegex = /<name>title<\\/name>\\s*<value>\\s*<string>([^<]*)<\\/string>\\s*<\\/value>/g;\n const idRegex = /<name>postid<\\/name>\\s*<value>\\s*<string>([^<]*)<\\/string>\\s*<\\/value>/g;\n const linkRegex = /<name>link<\\/name>\\s*<value>\\s*<string>([^<]*)<\\/string>\\s*<\\/value>/g;\n const permalinkRegex = /<name>permalink<\\/name>\\s*<value>\\s*<string>([^<]*)<\\/string>\\s*<\\/value>/g;\n \n let titles = [...xml.matchAll(titleRegex)].map(m => m[1]);\n let ids = [...xml.matchAll(idRegex)].map(m => m[1]);\n let links = [...xml.matchAll(linkRegex)].map(m => m[1]);\n let permalinks = [...xml.matchAll(permalinkRegex)].map(m => m[1]);\n \n console.log(`Found ${titles.length} recent posts:`);\n for (let i = 0; i < titles.length; i++) {\n console.log(` [${ids[i] || \"?\"}] ${titles[i]} (link: ${permalinks[i] || links[i] || \"N/A\"})`);\n }\n \n const found = titles.find(t => t.includes(\"OpenAI赢了官司\"));\n if (found) {\n console.log(`\\n✅ VERIFIED: Article \"${found}\" found in recent posts!`);\n } else {\n console.log(`\\n❌ Article not found in recent posts.`);\n }\n}\n\nmain().catch(console.error);\nEOF\nnode verify-posts.js 2>&1","timeout":15}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":306,"output":1064,"cacheRead":32512,"cacheWrite":0,"totalTokens":33882,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"toolUse","timestamp":1779160000844,"responseId":"9ca21fbe-f96e-4972-86ce-e7abcba2e129"},{"role":"toolResult","toolCallId":"call_00_ckjtg356WwgiKI7kSJdB9041","toolName":"exec","content":[{"type":"text","text":"Found 5 recent posts:\n [9622] OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题 (link: https://weixinsiwei.com/?id=9622)\n [9620] DeepSeek招Agent产品经理：2026年Agent赛道正式开卷 (link: https://weixinsiwei.com/?id=9620)\n [9619] DeepSeek招Agent产品经理：2026年Agent赛道正式开卷 (link: https://weixinsiwei.com/?id=9619)\n [9618] 小鹏Robotaxi来了，2026年无人车终于不再是PPT (link: https://weixinsiwei.com/?id=9618)\n [9617] 百度Q1财报背后的信号：AI公司终于开始赚钱了 (link: https://weixinsiwei.com/?id=9617)\n\n✅ VERIFIED: Article \"OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题\" found in recent posts!"}],"details":{"status":"completed","exitCode":0,"durationMs":877,"aggregated":"Found 5 recent posts:\n [9622] OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题 (link: https://weixinsiwei.com/?id=9622)\n [9620] DeepSeek招Agent产品经理：2026年Agent赛道正式开卷 (link: https://weixinsiwei.com/?id=9620)\n [9619] DeepSeek招Agent产品经理：2026年Agent赛道正式开卷 (link: https://weixinsiwei.com/?id=9619)\n [9618] 小鹏Robotaxi来了，2026年无人车终于不再是PPT (link: https://weixinsiwei.com/?id=9618)\n [9617] 百度Q1财报背后的信号：AI公司终于开始赚钱了 (link: https://weixinsiwei.com/?id=9617)\n\n✅ VERIFIED: Article \"OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题\" found in recent posts!","cwd":"/root/.openclaw/workspace/fabu"},"isError":false,"timestamp":1779160012759},{"role":"assistant","content":[{"type":"text","text":"Both publishing tasks are complete. Let me summarize:\n\n---\n\n## ✅ 发布完成汇总\n\n### 1️⃣ 微信公众号\"创业张三疯\" — 发布成功 ✅\n- **标题：** OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题\n- **media_id：** `imBwNhfy9Uv4ps2luE5gft4MBP5wM7ly7NeQSAVRBpvhgYcNizR20m9w7uEuAKAc`\n- **主题：** modern + vermilion（朱红）\n- **作者：** ai张三疯\n- **封面：** 已上传 `/root/imgs/business/cover.jpg`\n- **注意：** 文中 `/images/ads/OPC一人公司/1.jpg` 图片未找到本地文件，已跳过图片上传，文章正文正常发布\n\n### 2️⃣ 网站 weixinsiwei.com (Z-Blog) — 发布成功 ✅\n- **标题：** OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题\n- **文章ID：** `9622`\n- **链接：** https://weixinsiwei.com/?id=9622\n- **状态：** 已通过 `getRecentPosts` 验证，确认发布成功"}],"api":"openai-completions","provider":"deepseek","model":"deepseek-chat","usage":{"input":333,"output":290,"cacheRead":33792,"cacheWrite":0,"totalTokens":34415,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"stopReason":"stop","timestamp":1779160012762,"responseId":"6f7d333b-ba2f-4b18-8f2c-ffb3329a1506"}]}}
{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"1d9b9c24-628b-4fea-8689-187b8aa23f10","source":"runtime","type":"trace.artifacts","ts":"2026-05-19T03:06:57.397Z","seq":6,"sourceSeq":6,"sessionId":"1d9b9c24-628b-4fea-8689-187b8aa23f10","sessionKey":"agent:fabu:subagent:268778de-9a6b-4e69-b087-6c59d2a30f73","runId":"125fdd43-f37b-4c28-a495-71b943fb31a1","workspaceDir":"/root/.openclaw/workspace/fabu","provider":"deepseek","modelId":"deepseek-chat","modelApi":"openai-completions","data":{"capturedAt":"2026-05-19T03:06:57.397Z","finalStatus":"success","aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false,"promptErrorSource":null,"usage":{"input":22371,"output":6467,"cacheRead":541824,"total":570662},"promptCache":{"lastCallUsage":{"input":333,"output":290,"cacheRead":33792,"cacheWrite":0,"total":34415},"lastCacheTouchAt":1779160012762},"compactionCount":0,"assistantTexts":["I'll start by reading the article content and the wechat-api script to understand what I'm working with.","Good — I see this is not a TaskFlow task, it's a straightforward sub-agent task. Let me proceed with the work.\n\nLet me read the article content and the wechat-api script:","Good, I can see the script structure. Now let me also check what scripts/dependencies are nearby and verify the markdown file path, then look at the HTML file:","Both the article content and the HTML file look good. Now let me proceed with the two publishing tasks in parallel:\n\n1. **WeChat** - Run the wechat-api.ts script\n2. **Website** - Create and run the Z-Blog publish script\n\nLet me start with the WeChat publish:","The `md-to-wechat.ts` file is missing. Let me find it:","The `md-to-wechat.ts` script is located in the baoyu-post-to-wechat skills directory under agents/101. The wechat-api.ts expects it to be in the same directory. Let me look at how it references it and create a symlink or copy:","The wechat-api.ts references `md-to-wechat.ts` via `import.meta.url` relative path. I need to copy the full baoyu-post-to-wechat scripts directory to the fabu workspace, or better yet, let me create a proper symlink:","But the script also has sub-imports. Let me check what `md-to-wechat.ts` imports:","It imports from `baoyu-md` package. Let me check if this package exists:","The dependencies are in the scripts' `node_modules`. But the wechat-api.ts is in the fabu workspace root and doesn't have the node_modules with `baoyu-md`. However, looking at the wechat-api.ts more carefully, it spawns `md-to-wechat.ts` via `npx bun` with `cwd: baseDir` (the markdown file's directory). Let me check what `--cwd` it uses... Actually the `cwd` is `baseDir` which is `path.dirname(markdownPath)` = `/root/.openclaw/agents/101/workspace/post-to-wechat/20260519/`.\n\nThe script will look for `md-to-wechat.ts` relative to its own location via `import.meta.url`. So when we call it from fabu workspace, it uses the symlink. But the spawned `md-to-wechat.ts` will look for its dependencies...\n\nLet me just run it properly by running from the scripts directory where all dependencies exist:","**公众号发布成功！** media_id: `imBwNhfy9Uv4ps2luE5gft4MBP5wM7ly7NeQSAVRBpvhgYcNizR20m9w7uEuAKAc`\n\nThe OPC一人公司 image wasn't found locally, but the cover image uploaded fine and the article was published as a draft successfully.\n\nNow let me create the website publishing script for Z-Blog:","Now let me create the Z-Blog publish script. I need to check what's available for XML-RPC:","I need to handle the case with Z-Blog API specially since `metaweblog-api` is a TypeScript/Node module. Let me write a simple script that uses the `xmlrpc` package directly or uses `metaweblog-api`. Actually, let me check the Z-Blog XML-RPC API more carefully and write the script:","Now let me write the Z-Blog publish script. Let me check the complete newPost method signature:","Now let me create the publish script:","The publishing succeeded but the post ID is `true` instead of an actual ID. This is because Z-Blog's `newPost` returns `true` on success, not the post ID. The post was created. Let me verify the verification got the correct article back:","Both publishing tasks are complete. Let me summarize:\n\n---\n\n## ✅ 发布完成汇总\n\n### 1️⃣ 微信公众号\"创业张三疯\" — 发布成功 ✅\n- **标题：** OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题\n- **media_id：** `imBwNhfy9Uv4ps2luE5gft4MBP5wM7ly7NeQSAVRBpvhgYcNizR20m9w7uEuAKAc`\n- **主题：** modern + vermilion（朱红）\n- **作者：** ai张三疯\n- **封面：** 已上传 `/root/imgs/business/cover.jpg`\n- **注意：** 文中 `/images/ads/OPC一人公司/1.jpg` 图片未找到本地文件，已跳过图片上传，文章正文正常发布\n\n### 2️⃣ 网站 weixinsiwei.com (Z-Blog) — 发布成功 ✅\n- **标题：** OpenAI赢了官司，但输了道理：陪审团2小时驳回马斯克，却没回答那个核心问题\n- **文章ID：** `9622`\n- **链接：** https://weixinsiwei.com/?id=9622\n- **状态：** 已通过 `getRecentPosts` 验证，确认发布成功"],"finalPromptText":"[Tue 2026-05-19 11:04 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":43,"completedCount":43,"activeCount":0},"toolMetas":[{"toolName":"exec","meta":"find files named \"*.md\" in ~/.openclaw/agents/101/workspace/post-to-wechat/20260519/ → list files in ~/.openclaw/agents/101/, `find ~/.openclaw/agents/101/workspace/post-to-wechat/20260519/ -name \"*.md\" 2>/dev/null; ls ~/.openclaw/agents/…`"},{"toolName":"read","meta":"from /usr/lib/node_modules/openclaw/skills/taskflow/SKILL.md"},{"toolName":"read","meta":"from ~/.openclaw/agents/101/workspace/post-to-wechat/20260519/马斯克诉OpenAI-支持立场-20260519.md"},{"toolName":"exec","meta":"find files named \"*.ts\" in ~/.openclaw/workspace/fabu/skills/baoyu-post-to-wechat/ -> show first 20 lines → list files in ~/.openclaw/workspace/fabu/skills/, `find ~/.openclaw/workspace/fabu/skills/baoyu-post-to-wechat/ -name \"*.ts\" -o -name \"*.js\" 2>/dev/null | head -20; l…`"},{"toolName":"exec","meta":"find files named \"wechat-api*\" in ~/.openclaw/workspace/fabu/ → find files in /, `find ~/.openclaw/workspace/fabu/ -name \"wechat-api*\" 2>/dev/null; find / -maxdepth 6 -path \"*/baoyu-post-to-wechat/…`"},{"toolName":"read","meta":"from ~/.openclaw/workspace/fabu/wechat-api.ts"},{"toolName":"exec","meta":"list files in ~/.openclaw/workspace/fabu/wechat-extend-config.ts → list files in ~/.openclaw/workspace/fabu/node_modules/.package-lock.json → list files in ~/imgs/business/cover.jpg, `ls -la ~/.openclaw/workspace/fabu/wechat-extend-config.ts ~/.openclaw/workspace/fabu/md-to-wechat.ts 2>/dev/nul…`"},{"toolName":"exec","meta":"show /tmp/马斯克诉OpenAI-支持立场-20260519.html -> show first 100 lines, `cat /tmp/马斯克诉OpenAI-支持立场-20260519.html 2>/dev/null | head -100`"},{"toolName":"exec","meta":"cd ~/.openclaw/workspace/fabu && WECHAT_APP_ID=<redacted> WECHAT_APP_SECRET=b2d47e…192… (in ~/.openclaw/workspace/fabu)"},{"toolName":"exec","meta":"find files named \"md-to-wechat*\" in ~/.openclaw/ → find files named \"md-to-wechat*\" in / -> show first 10 lines, `find ~/.openclaw/ -name \"md-to-wechat*\" 2>/dev/null; find / -maxdepth 8 -name \"md-to-wechat*\" 2>/dev/null | head -10`"},{"toolName":"process","meta":"ember-sable"},{"toolName":"exec","meta":"list files in ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/, `ls ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/`"},{"toolName":"exec","meta":"run ln → list files in md-to-wechat.ts (in ~/.openclaw/workspace/fabu), `cd ~/.openclaw/workspace/fabu && ln -sf ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/md…`"},{"toolName":"exec","meta":"show first 30 lines of ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/md-to-wechat.ts, `head -30 ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/md-to-wechat.ts`"},{"toolName":"exec","meta":"list files in ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/node_modules/ → show ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/package.json, `ls ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/node_modules/ 2>/dev/null; cat ~/.openc…`"},{"toolName":"exec","meta":"cd ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts && WECHAT_APP_ID=<redacted> WECHAT_… (in ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts)"},{"toolName":"process","meta":"gentle-harbor"},{"toolName":"read","meta":"from /tmp/马斯克诉OpenAI-支持立场-20260519.html"},{"toolName":"exec","meta":"list files in ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/node_modules/metaweblog-api/ → show ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/node_modules/metaweblog-api/package.json, `ls ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/node_modules/metaweblog-api/ 2>/dev/null; c…`"},{"toolName":"exec","meta":"show ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/node_modules/metaweblog-api/lib/metaweblog-api.js -> show first 80 lines, `cat ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/node_modules/metaweblog-api/lib/metaweblog…`"},{"toolName":"exec","meta":"show ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/node_modules/metaweblog-api/lib/metaweblog-api.js -> show last 80 lines, `cat ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/node_modules/metaweblog-api/lib/metaweblog…`"},{"toolName":"exec","meta":"show ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/node_modules/metaweblog-api/lib/metaweblog-api.js -> search \"newPost\", `cat ~/.openclaw/agents/101/workspace/skills/baoyu-post-to-wechat/scripts/node_modules/metaweblog-api/lib/metaweblog…`"},{"toolName":"write","meta":"to ~/.openclaw/workspace/fabu/publish-musk-openai.js (6464 chars)"},{"toolName":"exec","meta":"run node script publish-musk-openai.js (in ~/.openclaw/workspace/fabu), `cd ~/.openclaw/workspace/fabu && node publish-musk-openai.js 2>&1`"},{"toolName":"exec","meta":"show > → run const BLOG_ID → run const USERNAME → run const PASSWORD → run const TITLE → run function → run g, &apos → run xml → run command (in ~/.openclaw/workspace/fabu), `cd ~/.openclaw/workspace/fabu && cat > verify-posts.js << 'EOF' // Verify the article was published by checking rec…`"}],"didSendViaMessagingTool":false,"successfulCronAdds":0,"messagingToolSentTexts":[],"messagingToolSentMediaUrls":[],"messagingToolSentTargets":[]}}
{"traceSchema":"openclaw-trajectory","schemaVersion":1,"traceId":"1d9b9c24-628b-4fea-8689-187b8aa23f10","source":"runtime","type":"session.ended","ts":"2026-05-19T03:06:57.398Z","seq":7,"sourceSeq":7,"sessionId":"1d9b9c24-628b-4fea-8689-187b8aa23f10","sessionKey":"agent:fabu:subagent:268778de-9a6b-4e69-b087-6c59d2a30f73","runId":"125fdd43-f37b-4c28-a495-71b943fb31a1","workspaceDir":"/root/.openclaw/workspace/fabu","provider":"deepseek","modelId":"deepseek-chat","modelApi":"openai-completions","data":{"status":"success","aborted":false,"externalAbort":false,"timedOut":false,"idleTimedOut":false,"timedOutDuringCompaction":false}}