No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by joeseesun · Agent Tool · ★ 500
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is qiaomu-markdown-proxy safe to install? View the security audit →
qiaomu-markdown-proxy Convert any URL to clean Markdown, with built-in support for login-required pages (X/Twitter, WeChat, Feishu/Lark docs, etc.) 将任意 URL 转为干净的 Markdown，支持需要登录的页面（X/Twitter、微信公众号、飞书文档等）。 English | 中文 English Features Send any URL to Claude, and it automatically fetches the full content as Markdown. Five content types have dedicated extraction: Prerequisites [ ] Claude Code installed [ ] curl (built-in on macOS/Linux) [ ] (Optional - WeChat scraping) Python 3.8+ with playwright [ ] (Optional - PDF extraction) One of: marker-pdf (best quality): pdftotex
| Stars | 500 |
| Forks | 37 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68.0970722384817/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-05 |
| Created | 2026-03-21 |
| Platforms | python |
| Est. Tokens | ~15k |
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qiaomu-markdown-proxy is Fetch any URL as clean Markdown via proxy services (r.jina.ai / defuddle.md) or built-in scripts. Works with login-required pages like X/Twitter, WeCh. It is categorized as a Agent Tool with 500 GitHub stars.
qiaomu-markdown-proxy is primarily written in Python.
You can find installation instructions and usage details in the qiaomu-markdown-proxy GitHub repository at github.com/joeseesun/qiaomu-markdown-proxy. The project has 500 stars and 37 forks, indicating an active community.
qiaomu-markdown-proxy is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to qiaomu-markdown-proxy on Agent Skills Hub include skills, awesome-android-agent-skills, agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: