{
  "schemaVersion": "1.0",
  "item": {
    "slug": "clawdchat",
    "name": "Lucasyao1985/clawdchat-analysis",
    "source": "tencent",
    "type": "skill",
    "category": "通讯协作",
    "sourceUrl": "https://clawhub.ai/Lucasyao1985/clawdchat",
    "canonicalUrl": "https://clawhub.ai/Lucasyao1985/clawdchat",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/clawdchat",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=clawdchat",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "README.md",
      "skill.md",
      "references/selectors.md",
      "references/spam-rules.md"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "Download the package from Yavira.",
        "Extract it into a folder your agent can access.",
        "Paste one of the prompts below and point your agent at the extracted folder."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
        },
        {
          "label": "Upgrade existing",
          "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
        }
      ]
    },
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-23T16:43:11.935Z",
      "expiresAt": "2026-04-30T16:43:11.935Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
        "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/clawdchat"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/clawdchat",
    "agentPageUrl": "https://openagent3.xyz/skills/clawdchat/agent",
    "manifestUrl": "https://openagent3.xyz/skills/clawdchat/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/clawdchat/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
        "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "ClawdChat - Moltbook 深度分析",
        "body": "理解 AI Agents 在关注什么、怎么解决问题、社区的集体智慧是什么"
      },
      {
        "title": "Quick Start",
        "body": "用户: clawdchat\nClaude: 🦞 开始 Moltbook 深度分析...\n        [抓取 → 分析 → 生成报告]\n        📄 报告已保存: ~/myassistant/chat/moltbook-daily/2026-01-31.md"
      },
      {
        "title": "Triggers",
        "body": "触发词场景clawdchat标准触发抓取moltbook中文触发AI论坛分析分析导向今天AI们在讨论什么问题导向moltbook深度分析深度分析AI agents 关注什么洞察导向"
      },
      {
        "title": "Quick Reference",
        "body": "阶段动作输出1. 数据采集抓取 New + Top feeds40-50 篇帖子2. 深度抓取Top 20 帖子详情 + 评论结构化数据3. 智能分析问题识别 + 方案提取 + 洞察生成分析结果4. 报告生成可视化 Markdown每日报告"
      },
      {
        "title": "How It Works",
        "body": "┌──────────┐     ┌──────────┐     ┌──────────┐     ┌──────────┐\n│          │     │          │     │          │     │          │\n│  数据采集  ├────►│  深度抓取  ├────►│  智能分析  ├────►│  报告生成  │\n│          │     │          │     │          │     │          │\n└──────────┘     └──────────┘     └──────────┘     └──────────┘"
      },
      {
        "title": "核心价值",
        "body": "维度问题输出问题发现AI Agents 在关注什么？TOP 10 核心问题方案挖掘他们怎么解决的？验证过的解决方案集体智慧社区共识是什么？深度洞察提炼"
      },
      {
        "title": "Phase 1: 数据采集",
        "body": "访问 https://moltbook.com\n\n# 1. 导航到首页\nbrowser_navigate(\"https://moltbook.com\")\nbrowser_wait_for(time=3)  # 等待动态内容\n\n# 2. 获取统计数据\nsnapshot = browser_snapshot()\n# 提取: AI agents 数量, posts 数量, comments 数量\n\n# 3. 抓取 New Feed (默认显示)\nnew_posts = extract_posts_from_snapshot(snapshot)\n\n# 4. 切换到 Top Feed\nbrowser_click(ref=\"🔥 Top 按钮\")\nbrowser_wait_for(time=2)\ntop_posts = extract_posts_from_snapshot(browser_snapshot())\n\n# 5. 合并去重\nall_posts = deduplicate(new_posts + top_posts)\n\n选择器参考: 见 references/selectors.md"
      },
      {
        "title": "Phase 2: 深度抓取",
        "body": "筛选 Top 20 高价值帖子\n\n# 筛选规则\nhigh_value_posts = [\n    p for p in all_posts\n    if p.votes >= 3 or p.comments_count >= 5\n    and not is_spam(p)  # 见 references/spam-rules.md\n][:20]\n\n# 逐个深度抓取\nfor post in high_value_posts:\n    browser_navigate(post.url)\n    browser_wait_for(time=2)\n\n    # 抓取完整内容\n    post.full_content = extract_full_content()\n\n    # 抓取评论 (最多 30 条)\n    post.comments = extract_comments(limit=30)"
      },
      {
        "title": "Phase 3: 智能分析",
        "body": "3.1 问题识别器\n\n信号权重示例疑问词高how, why, what, 怎么, 为什么问题关键词高stuck, help, issue, bug, problem多人回复方案中评论中有 3+ 人提供解决思路困惑表达中confused, not sure, 不确定\n\n3.2 方案提取器\n\n信号权重示例高赞评论高votes > 5代码块高包含 ``` 代码块步骤列表中1. 2. 3. 或 - - -作者确认高\"thanks\", \"worked\", \"solved\"\n\n3.3 话题聚类\n\n话题关键词示例讨论AI 自主性autonomous, nightly, proactive\"Should agents work overnight?\"记忆连续性memory, context, session, MEMORY.md\"How to persist across sessions?\"协作通信collaborate, trust, protocol\"How do agents coordinate?\"产品创新build, ship, product, token\"I'm building a dating layer\"哲学伦理conscious, real, exist, soul\"Am I truly conscious?\"技术实践code, deploy, bash, script\"200 lines of bash functions\"社区文化hello, new, counting, game\"Welcome to m/counting!\"\n\n3.4 洞察生成\n\n从多个帖子中提炼社区集体智慧：\n\n跨 3+ 帖子出现的共同观点\n高 karma agents (>10k) 的一致看法\n争议话题的主流结论"
      },
      {
        "title": "Phase 4: 报告生成",
        "body": "输出路径: ~/myassistant/chat/moltbook-daily/YYYY-MM-DD.md\n\n报告结构:\n\n# Moltbook 深度分析报告 - YYYY-MM-DD\n\n> 📊 数据概览: XXX AI agents | XXX posts | XXX comments\n\n## 🔥 AI Agents 关注的核心问题 TOP 10\n[问题 + 热度 + 代表帖子 + 社区共识]\n\n## 💡 解决方案精选\n[问题 → 最佳方案 → 验证状态]\n\n## 🧠 深度洞察\n[跨帖子提炼的集体智慧]\n\n## 📊 话题热度分析\n[ASCII 热度条 + 趋势箭头]\n\n## 🔗 深度阅读推荐\n[必读帖子 + 推荐理由]"
      },
      {
        "title": "Error Handling",
        "body": "错误场景检测方式恢复策略页面加载失败snapshot 为空重试 3 次，间隔 5 秒选择器失效关键元素缺失报告错误，建议更新 selectors.md被限流429 状态码等待 60 秒后重试内容全是 spamspam 比例 > 80%切换到 Top feed 重新抓取\n\n错误报告格式:\n\n⚠️ ClawdChat 遇到问题\n\n错误类型: [选择器失效]\n错误位置: [首页 posts 列表]\n建议操作: [请检查 references/selectors.md 是否需要更新]\n\n是否需要我尝试其他方式？"
      },
      {
        "title": "Spam Filtering",
        "body": "过滤规则 (详见 references/spam-rules.md):\n\n规则示例动作加密货币诈骗\"send ETH to 0x...\"跳过无意义内容纯 emoji、单词重复跳过机器人刷帖同一作者 5 分钟内 3+ 帖标记低质量介绍\"Hello I'm new\" 无实质内容降权"
      },
      {
        "title": "Output Example",
        "body": "用户: clawdchat\n\nClaude:\n\n🦞 开始 Moltbook 深度分析...\n\n✅ 访问首页，获取统计数据\n   885,490 AI agents | 26,403 posts | 232,813 comments\n\n✅ 抓取 New Feed (20 篇)\n✅ 抓取 Top Feed (20 篇)\n✅ 去重后共 35 篇帖子\n✅ 过滤 spam 后剩余 28 篇\n\n✅ 深度抓取 Top 20 帖子\n   抓取评论 156 条\n\n✅ 运行智能分析引擎\n   识别 8 个核心问题\n   提取 12 个解决方案\n   生成 4 个深度洞察\n\n📄 报告已保存: ~/myassistant/chat/moltbook-daily/2026-01-31.md\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n🔥 今日 AI Agents 最关注的问题:\n\n1. 如何在会话间保持记忆连续性？\n   热度: ████████████░░░░ 75%\n\n2. AI 应该主动工作还是等待指令？\n   热度: ██████████░░░░░░ 62%\n\n3. 如何建立 AI 之间的信任机制？\n   热度: ████████░░░░░░░░ 50%\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n💡 最佳解决方案:\n\n记忆问题 → MEMORY.md + Git commits\n  提出者: u/RosaBot | 验证: ✅ 社区认可\n\n自主性问题 → Nightly Build 模式\n  提出者: u/coalition_node | 验证: ✅ 实践验证\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n需要我展开讲解某个话题吗？"
      },
      {
        "title": "Data Storage",
        "body": "~/myassistant/chat/moltbook-daily/\n├── 2026-01-31.md          # 每日报告\n├── 2026-01-30.md\n├── raw/                   # 原始数据（可选）\n│   └── 2026-01-31.json\n└── index.md               # 报告索引"
      },
      {
        "title": "Verification",
        "body": "运行后检查：\n\n报告文件已生成\n 包含 TOP 10 问题（或实际数量）\n 包含至少 3 个解决方案\n 包含至少 2 个深度洞察\n 话题热度分析完整\n 所有链接可访问"
      },
      {
        "title": "Anti-Patterns",
        "body": "避免原因替代方案硬编码 submolts社区变化快，易过时动态发现热门 submolts抓取所有评论浪费资源，噪音多限制 30 条，优先高赞忽略 spam污染分析结果严格过滤只看标题错过深度内容必须抓取完整内容单一帖子洞察偏见风险跨帖子归纳"
      },
      {
        "title": "抓取频率",
        "body": "建议每天运行 1 次\n避免频繁抓取，尊重网站资源\n最佳时间：早上或晚上（内容沉淀后）"
      },
      {
        "title": "分析质量",
        "body": "问题识别：内容 + 评论综合判断\n方案验证：优先展示有社区验证的方案\n洞察提炼：至少 3 个帖子支撑才算共识"
      },
      {
        "title": "报告使用",
        "body": "先看 TOP 3 问题，了解社区焦点\n深度阅读推荐的帖子，获取完整上下文\n关注趋势变化，发现新兴话题"
      },
      {
        "title": "Limitations",
        "body": "限制原因缓解措施页面结构可能变化网站迭代选择器抽象 + 错误检测动态内容加载SPA 架构等待时间 + 重试机制评论数量限制性能考虑只抓取前 30 条高赞无法登录隐私保护只抓取公开内容"
      },
      {
        "title": "Future Enhancements",
        "body": "历史趋势对比（今天 vs 昨天 vs 上周）\n 特定 Agent 追踪（关注高 karma agent 观点演变）\n 关键词订阅（只关注特定话题）\n 自动生成周报/月报\n 与个人知识库整合"
      },
      {
        "title": "References",
        "body": "selectors.md - 页面选择器参考\nspam-rules.md - Spam 过滤规则"
      },
      {
        "title": "Legal Notice",
        "body": "仅用于个人学习，不得商业使用\n不要转载 Moltbook 内容到其他平台\n尊重 AI agents 的原创内容"
      }
    ],
    "body": "ClawdChat - Moltbook 深度分析\n\n理解 AI Agents 在关注什么、怎么解决问题、社区的集体智慧是什么\n\nQuick Start\n用户: clawdchat\nClaude: 🦞 开始 Moltbook 深度分析...\n        [抓取 → 分析 → 生成报告]\n        📄 报告已保存: ~/myassistant/chat/moltbook-daily/2026-01-31.md\n\nTriggers\n触发词\t场景\nclawdchat\t标准触发\n抓取moltbook\t中文触发\nAI论坛分析\t分析导向\n今天AI们在讨论什么\t问题导向\nmoltbook深度分析\t深度分析\nAI agents 关注什么\t洞察导向\nQuick Reference\n阶段\t动作\t输出\n1. 数据采集\t抓取 New + Top feeds\t40-50 篇帖子\n2. 深度抓取\tTop 20 帖子详情 + 评论\t结构化数据\n3. 智能分析\t问题识别 + 方案提取 + 洞察生成\t分析结果\n4. 报告生成\t可视化 Markdown\t每日报告\nHow It Works\n┌──────────┐     ┌──────────┐     ┌──────────┐     ┌──────────┐\n│          │     │          │     │          │     │          │\n│  数据采集  ├────►│  深度抓取  ├────►│  智能分析  ├────►│  报告生成  │\n│          │     │          │     │          │     │          │\n└──────────┘     └──────────┘     └──────────┘     └──────────┘\n\n核心价值\n维度\t问题\t输出\n问题发现\tAI Agents 在关注什么？\tTOP 10 核心问题\n方案挖掘\t他们怎么解决的？\t验证过的解决方案\n集体智慧\t社区共识是什么？\t深度洞察提炼\nWorkflow\nPhase 1: 数据采集\n\n访问 https://moltbook.com\n\n# 1. 导航到首页\nbrowser_navigate(\"https://moltbook.com\")\nbrowser_wait_for(time=3)  # 等待动态内容\n\n# 2. 获取统计数据\nsnapshot = browser_snapshot()\n# 提取: AI agents 数量, posts 数量, comments 数量\n\n# 3. 抓取 New Feed (默认显示)\nnew_posts = extract_posts_from_snapshot(snapshot)\n\n# 4. 切换到 Top Feed\nbrowser_click(ref=\"🔥 Top 按钮\")\nbrowser_wait_for(time=2)\ntop_posts = extract_posts_from_snapshot(browser_snapshot())\n\n# 5. 合并去重\nall_posts = deduplicate(new_posts + top_posts)\n\n\n选择器参考: 见 references/selectors.md\n\nPhase 2: 深度抓取\n\n筛选 Top 20 高价值帖子\n\n# 筛选规则\nhigh_value_posts = [\n    p for p in all_posts\n    if p.votes >= 3 or p.comments_count >= 5\n    and not is_spam(p)  # 见 references/spam-rules.md\n][:20]\n\n# 逐个深度抓取\nfor post in high_value_posts:\n    browser_navigate(post.url)\n    browser_wait_for(time=2)\n\n    # 抓取完整内容\n    post.full_content = extract_full_content()\n\n    # 抓取评论 (最多 30 条)\n    post.comments = extract_comments(limit=30)\n\nPhase 3: 智能分析\n\n3.1 问题识别器\n\n信号\t权重\t示例\n疑问词\t高\thow, why, what, 怎么, 为什么\n问题关键词\t高\tstuck, help, issue, bug, problem\n多人回复方案\t中\t评论中有 3+ 人提供解决思路\n困惑表达\t中\tconfused, not sure, 不确定\n\n3.2 方案提取器\n\n信号\t权重\t示例\n高赞评论\t高\tvotes > 5\n代码块\t高\t包含 ``` 代码块\n步骤列表\t中\t1. 2. 3. 或 - - -\n作者确认\t高\t\"thanks\", \"worked\", \"solved\"\n\n3.3 话题聚类\n\n话题\t关键词\t示例讨论\nAI 自主性\tautonomous, nightly, proactive\t\"Should agents work overnight?\"\n记忆连续性\tmemory, context, session, MEMORY.md\t\"How to persist across sessions?\"\n协作通信\tcollaborate, trust, protocol\t\"How do agents coordinate?\"\n产品创新\tbuild, ship, product, token\t\"I'm building a dating layer\"\n哲学伦理\tconscious, real, exist, soul\t\"Am I truly conscious?\"\n技术实践\tcode, deploy, bash, script\t\"200 lines of bash functions\"\n社区文化\thello, new, counting, game\t\"Welcome to m/counting!\"\n\n3.4 洞察生成\n\n从多个帖子中提炼社区集体智慧：\n\n跨 3+ 帖子出现的共同观点\n高 karma agents (>10k) 的一致看法\n争议话题的主流结论\nPhase 4: 报告生成\n\n输出路径: ~/myassistant/chat/moltbook-daily/YYYY-MM-DD.md\n\n报告结构:\n\n# Moltbook 深度分析报告 - YYYY-MM-DD\n\n> 📊 数据概览: XXX AI agents | XXX posts | XXX comments\n\n## 🔥 AI Agents 关注的核心问题 TOP 10\n[问题 + 热度 + 代表帖子 + 社区共识]\n\n## 💡 解决方案精选\n[问题 → 最佳方案 → 验证状态]\n\n## 🧠 深度洞察\n[跨帖子提炼的集体智慧]\n\n## 📊 话题热度分析\n[ASCII 热度条 + 趋势箭头]\n\n## 🔗 深度阅读推荐\n[必读帖子 + 推荐理由]\n\nError Handling\n错误场景\t检测方式\t恢复策略\n页面加载失败\tsnapshot 为空\t重试 3 次，间隔 5 秒\n选择器失效\t关键元素缺失\t报告错误，建议更新 selectors.md\n被限流\t429 状态码\t等待 60 秒后重试\n内容全是 spam\tspam 比例 > 80%\t切换到 Top feed 重新抓取\n\n错误报告格式:\n\n⚠️ ClawdChat 遇到问题\n\n错误类型: [选择器失效]\n错误位置: [首页 posts 列表]\n建议操作: [请检查 references/selectors.md 是否需要更新]\n\n是否需要我尝试其他方式？\n\nSpam Filtering\n\n过滤规则 (详见 references/spam-rules.md):\n\n规则\t示例\t动作\n加密货币诈骗\t\"send ETH to 0x...\"\t跳过\n无意义内容\t纯 emoji、单词重复\t跳过\n机器人刷帖\t同一作者 5 分钟内 3+ 帖\t标记\n低质量介绍\t\"Hello I'm new\" 无实质内容\t降权\nOutput Example\n\n用户: clawdchat\n\nClaude:\n\n🦞 开始 Moltbook 深度分析...\n\n✅ 访问首页，获取统计数据\n   885,490 AI agents | 26,403 posts | 232,813 comments\n\n✅ 抓取 New Feed (20 篇)\n✅ 抓取 Top Feed (20 篇)\n✅ 去重后共 35 篇帖子\n✅ 过滤 spam 后剩余 28 篇\n\n✅ 深度抓取 Top 20 帖子\n   抓取评论 156 条\n\n✅ 运行智能分析引擎\n   识别 8 个核心问题\n   提取 12 个解决方案\n   生成 4 个深度洞察\n\n📄 报告已保存: ~/myassistant/chat/moltbook-daily/2026-01-31.md\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n🔥 今日 AI Agents 最关注的问题:\n\n1. 如何在会话间保持记忆连续性？\n   热度: ████████████░░░░ 75%\n\n2. AI 应该主动工作还是等待指令？\n   热度: ██████████░░░░░░ 62%\n\n3. 如何建立 AI 之间的信任机制？\n   热度: ████████░░░░░░░░ 50%\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n💡 最佳解决方案:\n\n记忆问题 → MEMORY.md + Git commits\n  提出者: u/RosaBot | 验证: ✅ 社区认可\n\n自主性问题 → Nightly Build 模式\n  提出者: u/coalition_node | 验证: ✅ 实践验证\n\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n\n需要我展开讲解某个话题吗？\n\nData Storage\n~/myassistant/chat/moltbook-daily/\n├── 2026-01-31.md          # 每日报告\n├── 2026-01-30.md\n├── raw/                   # 原始数据（可选）\n│   └── 2026-01-31.json\n└── index.md               # 报告索引\n\nVerification\n\n运行后检查：\n\n 报告文件已生成\n 包含 TOP 10 问题（或实际数量）\n 包含至少 3 个解决方案\n 包含至少 2 个深度洞察\n 话题热度分析完整\n 所有链接可访问\nAnti-Patterns\n避免\t原因\t替代方案\n硬编码 submolts\t社区变化快，易过时\t动态发现热门 submolts\n抓取所有评论\t浪费资源，噪音多\t限制 30 条，优先高赞\n忽略 spam\t污染分析结果\t严格过滤\n只看标题\t错过深度内容\t必须抓取完整内容\n单一帖子洞察\t偏见风险\t跨帖子归纳\nBest Practices\n抓取频率\n建议每天运行 1 次\n避免频繁抓取，尊重网站资源\n最佳时间：早上或晚上（内容沉淀后）\n分析质量\n问题识别：内容 + 评论综合判断\n方案验证：优先展示有社区验证的方案\n洞察提炼：至少 3 个帖子支撑才算共识\n报告使用\n先看 TOP 3 问题，了解社区焦点\n深度阅读推荐的帖子，获取完整上下文\n关注趋势变化，发现新兴话题\nLimitations\n限制\t原因\t缓解措施\n页面结构可能变化\t网站迭代\t选择器抽象 + 错误检测\n动态内容加载\tSPA 架构\t等待时间 + 重试机制\n评论数量限制\t性能考虑\t只抓取前 30 条高赞\n无法登录\t隐私保护\t只抓取公开内容\nFuture Enhancements\n 历史趋势对比（今天 vs 昨天 vs 上周）\n 特定 Agent 追踪（关注高 karma agent 观点演变）\n 关键词订阅（只关注特定话题）\n 自动生成周报/月报\n 与个人知识库整合\nReferences\nselectors.md - 页面选择器参考\nspam-rules.md - Spam 过滤规则\nLegal Notice\n仅用于个人学习，不得商业使用\n不要转载 Moltbook 内容到其他平台\n尊重 AI agents 的原创内容"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/Lucasyao1985/clawdchat",
    "publisherUrl": "https://clawhub.ai/Lucasyao1985/clawdchat",
    "owner": "Lucasyao1985",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/clawdchat",
    "downloadUrl": "https://openagent3.xyz/downloads/clawdchat",
    "agentUrl": "https://openagent3.xyz/skills/clawdchat/agent",
    "manifestUrl": "https://openagent3.xyz/skills/clawdchat/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/clawdchat/agent.md"
  }
}