by matterai · Agent Tool · ★ 55
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 55 |
| Forks | 13 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 76/100 |
| Last Updated | 2025-03-17 |
| Created | 2025-03-17 |
| Platforms | node |
| Est. Tokens | ~10k |
🦊 Data Kitsune Idea by Alexey @darkolorin Moiseenkov Design by Oleksandr @alexbemore Shatov Executed by Vladimir @matterai Vlasiuk Data Kitsune is a microservices-based application for content extraction, processing, and delivery through Telegram. It leverages multiple AI services, including OpenAI, Gemini, Grok, and R2R for enhanced content understanding and retrieval.
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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: