by Simpleyyt · Agent Tool · ★ 1.6k
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git clone https://github.com/simpleyyt/ai-manus.gitTaken from the project's README on GitHub. Check the security audit before running it.
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 | 1,648 |
| Forks | 413 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 69/100 |
| Open Issues | 73 |
| Last Updated | 2026-11-04 |
| Created | 2025-04-26 |
| Platforms | python |
| Est. Tokens | ~16k |
AI Manus English Documents   AI Manus is a general-purpose AI Agent system that supports running various tools and operations in a sandbox environment. Enjoy your own agent with AI Manus! 👏 Join QQ Group(1005477581) ❤️ Like AI Manus? Give it a star 🌟 or Sponsor to support the development! 🚀 Try a Demo 📝 Blog: Rebuild Manus with WebUI and Sandbox Demos Basic Features...
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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.
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