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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 | 395 |
| Forks | 1,649 |
| Language | Python |
| Category | AI Tool |
| License | GPL-3.0 |
| Quality Score | 44/100 |
| Open Issues | 9 |
| Last Updated | 2021-11-30 |
| Created | 2018-10-04 |
| Platforms | python |
| Est. Tokens | ~13k |
AnyDLBot An Open Source ALL-In-One Telegram RoBot, that can do lot of things. 👉 check the 'branches' for all the features..! Please use the TAB, above to deploy this application! Credits, and Thanks to Dan Tès for his Pyrogram Library Yoily for his UploaditBot For FeedBack and Suggestions, please feel free to say in @SpEcHlDe LICENSE GPLv3
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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: