leoyeai/clean-content-fetch
skills/clean-content-fetch/SKILL.md
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.
$ install --global
skillsauthnpx skillsauth add leoyeai/openclaw-master-skills clean-content-fetchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
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TrivyContainer and dependency vulnerability scanner
95%
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SemgrepStatic code analysis for vulnerabilities
95%
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mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
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Socket.devSupply chain security analysis
50%
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VirusTotalMulti-engine malware detection
50%
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CrowdStrikeAdvanced threat intelligence
50%
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OSV-ScannerOpen Source Vulnerability database check
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OWASP Dep-Check
50%
Last scanned: Apr 6, 2026, 9:41 PM33.1s1 file scanned
SKILL.md
- 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.
Scrapling Web Fetch
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。
默认流程
- 使用
python3 scripts/scrapling_fetch.py <url> <max_chars> - 默认正文选择器优先级：
articlemain.post-content[class*="body"]
- 命中正文后，使用
html2text转 Markdown - 若都未命中，回退到
body - 最终按
max_chars截断输出
用法
python3 /Users/zzd/.openclaw/workspace/skills/scrapling-web-fetch/scripts/scrapling_fetch.py <url> 30000
依赖
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
输出约定
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。
附加资源
- 用法参考：
/Users/zzd/.openclaw/workspace/skills/scrapling-web-fetch/references/usage.md - 选择器策略：
/Users/zzd/.openclaw/workspace/skills/scrapling-web-fetch/references/selectors.md - 统一入口：
/Users/zzd/.openclaw/workspace/skills/scrapling-web-fetch/scripts/fetch-web-content
何时用这个技能
- 获取文章正文
- 抓博客/新闻/公告正文
- 将网页转成 Markdown 供后续总结
- 常规 fetch 效果差，希望提升现代网页抓取稳定性
- 抓小红书分享短链或笔记落地页正文
小红书抓取方法
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：
- 脚本会先解析短链并抓取落地页正文
- 适合提取小红书笔记文案、标题和主体内容
- 若页面需要更复杂交互，再切到浏览器自动化
何时不用
- 需要完整浏览器交互、点击、登录、翻页时：改用浏览器自动化
- 只是简单获取 API JSON：直接请求 API 更合适
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