by jovaneyck · Agent Tool · ★ 99
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 | 99 |
| Forks | 16 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 50/100 |
| Last Updated | 2025-08-18 |
| Created | 2025-08-10 |
| Platforms | node |
| Est. Tokens | ~4k |
CLAUDE.md Repository Architecture This is a multi-project repository focused on Obsidian AI agent integrations and semantic search capabilities. It contains three main project areas: Core Projects Semantic Search System () ChromaDB Backend (): Vector database for semantic search using ChromaDB Context Fetcher Plugin (): Obsidian plugin for retrieving contextually relevant notes Quiz System ()...
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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: