by NicholasSpisak · Agent Tool · ★ 737
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npx skills add NicholasSpisak/second-brainTaken 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 | 737 |
| Forks | 109 |
| Language | Shell |
| Category | Agent Tool |
| Quality Score | 68/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-07 |
| Created | 2026-04-06 |
| Platforms | cli |
| Est. Tokens | ~12k |
Second Brain An LLM-maintained personal knowledge base built on the LLM Wiki pattern. Drop raw sources into a folder, let the LLM compile them into a structured wiki, and browse it all in Obsidian. How It Works You feed raw material (articles, papers, notes, transcripts) into a folder. The LLM reads everything, writes structured wiki pages, creates cross-references, and maintains an index.
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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: