菜单
获取干净、可读的网页正文内容，适合现代网页、博客、新闻、公告和微信公众号文章抓取；支持网页正文提取、内容清洗、去噪、Markdown 输出，适用于普通 fetch 效果不佳、页面噪音较多或动态渲染干扰的场景。Clean content fetch for modern web pages, article extraction, WeChat article capture, content cleanup, noise reduction, and markdown output when ordinary fetch is not clean enough.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.
自动收集社交媒体内容（X/Twitter、即刻、微信公众号、Reddit、知乎、Bilibili、Hacker News 等）并整理成结构化笔记存入飞书多维表格。 当用户发送链接、截图或混合内容时自动触发。支持平台检测、去重、AI 摘要、飞书云存储一体化流程。 Use when: user shares a link or screenshot from social media platforms and wants to save/collect/organize content into Feishu.
Converts Markdown to styled HTML with WeChat-compatible themes. Supports code highlighting, math, PlantUML, footnotes, alerts, and infographics. Use when user asks for "markdown to html", "convert md to html", "md转html", or needs styled HTML output from markdown.
Formats plain text or markdown files with frontmatter, titles, summaries, headings, bold, lists, and code blocks. Use when user asks to "format markdown", "beautify article", "add formatting", or improve article layout. Outputs to {filename}-formatted.md.
Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
| name | clean-content-fetch |
| description | 获取干净、可读的网页正文内容，适合现代网页、博客、新闻、公告和微信公众号文章抓取；支持网页正文提取、内容清洗、去噪、Markdown 输出，适用于普通 fetch 效果不佳、页面噪音较多或动态渲染干扰的场景。Clean content fetch for modern web pages, article extraction, WeChat article capture, content cleanup, noise reduction, and markdown output when ordinary fetch is not clean enough. |
当用户要获取网页内容、正文提取、把网页转成 markdown/text、抓取文章主体时，优先使用此技能。
python3 scripts/scrapling_fetch.py <url> <max_chars>articlemain.post-content[class*="body"]html2text 转 Markdownbodymax_chars 截断输出python3 /Users/zzd/.openclaw/workspace/skills/scrapling-web-fetch/scripts/scrapling_fetch.py <url> 30000
优先检查：
scraplinghtml2textcurl_cffiplaywrightbrowserforge推荐使用独立虚拟环境，避免系统 Python 的 PEP 668 限制：
python3 -m venv /Users/zzd/.openclaw/workspace/.venvs/clean-content-fetch
/Users/zzd/.openclaw/workspace/.venvs/clean-content-fetch/bin/pip install scrapling html2text curl_cffi playwright browserforge
/Users/zzd/.openclaw/workspace/.venvs/clean-content-fetch/bin/python -m playwright install chromium
如直接运行脚本，优先使用该虚拟环境中的 Python：
/Users/zzd/.openclaw/workspace/.venvs/clean-content-fetch/bin/python /Users/zzd/.openclaw/workspace/skills/scrapling-web-fetch/scripts/scrapling_fetch.py <url> 30000
脚本默认输出 Markdown 正文内容。
如需结构化输出，可追加 --json。
如需调试提取命中了哪个 selector，可查看 stderr 输出。
/Users/zzd/.openclaw/workspace/skills/scrapling-web-fetch/references/usage.md/Users/zzd/.openclaw/workspace/skills/scrapling-web-fetch/references/selectors.md/Users/zzd/.openclaw/workspace/skills/scrapling-web-fetch/scripts/fetch-web-content对于 xhslink.com 短链或小红书笔记页，推荐直接使用虚拟环境中的脚本运行：
/Users/zzd/.openclaw/workspace/.venvs/clean-content-fetch/bin/python /Users/zzd/.openclaw/workspace/skills/scrapling-web-fetch/scripts/scrapling_fetch.py 'http://xhslink.com/o/9745hugimlD' 30000
说明：