by GD4AI · Agent Tool · ★ 699
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 | 699 |
| Forks | 86 |
| Language | TypeScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 57/100 |
| Open Issues | 37 |
| Last Updated | 2026-10-11 |
| Created | 2026-04-26 |
| Platforms | node |
| Est. Tokens | ~24k |
= 1.11.4 (desktop + mobile) dependencies: zero runtime dependencies (Vercel AI SDK v6 bundled) obsidian-plugin-id: karpathywiki obsidian-marketplace: https://community.obsidian.md/plugins/karpathywiki repo: https://github.com/GD4AI/obsidian-llm-wiki sister-cli-repo: https://github.com/green-dalii/obsidian-llm-wiki-cli docs: README.md + docs/README.md (11 locales) + docs/MODEL-GUIDE.md +...
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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: