by Panniantong · MCP Server · ★ 109.8k
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None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 109,759 |
| Forks | 9,816 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66/100 |
| Open Issues | 283 |
| Last Updated | 2026-11-06 |
| Created | 2026-02-24 |
| Platforms | browser, claude-code, cli, mcp, python |
| Est. Tokens | ~16k |
👁️ Agent Reach 给你的 AI Agent 一键装上互联网能力 快速开始 · English · 支持平台 · 设计理念 为什么需要 Agent Reach？ AI Agent 已经能帮你写代码、改文档、管项目——但你让它去网上找点东西，它就抓瞎了： 📺 "帮我看看这个 YouTube 教程讲了什么" → 看不了，拿不到字幕 🐦 "帮我搜一下推特上大家怎么评价这个产品" → 搜不了，Twitter API 要付费 📖 "去 Reddit 上看看有没有人遇到过同样的 bug" → 403 被封，服务器 IP 被拒 📕 "帮我看看小红书上这个品的口碑" → 打不开，必须登录才能看 📺 "B站上有个技术视频，帮我总结一下" → 连不上，海外/服务器 IP 被屏蔽 🔍 "帮我在网上搜一下最新的 LLM 框架对比" → 没有好用的搜索，要么付费要么质量差 🌐...
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: