by Priler · Agent Tool · ★ 304
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
docker run -e BOT_TOKEN="..." -e BOT_OWNER="..." samurai-bot
docker run --env-file .env samurai-botTaken 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 | 304 |
| Forks | 63 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 67/100 |
| Last Updated | 2026-10-08 |
| Created | 2021-06-06 |
| Platforms | python |
| Est. Tokens | ~16k |
👹 Samurai Telegram Bot Simple, yet effective auto-moderator bot for telegram. With reports, logs, profanity filter, anti-spam AI, NSFW detection, reputation system and more :3 What does Samurai do? Anti-Profanity: Automatically detects and removes messages containing profanity (Russian/English) Anti-Spam: ML-based spam detection for new users NSFW Detection: Analysis of eligible in-chat images...
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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: