by assimon · Agent Tool · ★ 109
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/assimon/ai-anti-bot.git && cd ai-anti-bot && mkdir dataTaken 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 | 109 |
| Forks | 34 |
| Language | Go |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 66/100 |
| Last Updated | 2025-02-05 |
| Created | 2024-07-26 |
| Platforms | go |
| Est. Tokens | ~16k |
ai-anti-bot Anti-spam robot for Telegram groups English | 简体中文 is a world-renowned, very convenient and elegant anonymous communication tool. However, due to the anonymity of the software, a lot of spam promotion information often appears in the group. We have no way to identify whether there is spam information in the group at all times. Fortunately, provides us with a very powerful .
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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: