by Polaris-Aeterna · Claude Skill · ★ 173
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git clone https://github.com/Polaris-Aeterna/loom-notes.gitTaken 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 | 173 |
| Forks | 13 |
| Language | TeX |
| Category | Claude Skill |
| Quality Score | 62/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-29 |
| Created | 2026-06-27 |
| Platforms | claude-code |
| Est. Tokens | ~17k |
🧶 Loom Weave your understanding — a gorgeous XeLaTeX class for fill-in study notes Notes you both read and fill: statements and intuition to take in, blanks and proof-skeletons to work out. Learn by active recall, on paper that looks like an illuminated manuscript. Why Loom Most notes are read-only: definition → theorem → proof, flowing past your eyes. You finish the page and remember nothing.
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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: