No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Polaris-Aeterna · Claude Skill · ★ 140
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is loom-notes safe to install? View the security audit →
🧶 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. Loom typesets the other layer too — the weave of your own understanding: 🧵 A page is cloth on a loom. Warp threads are the ideas in play (a left selvage rail). Knots are results that bind them (theorem boxes). Loose threads are your open questions. A warmth gauge records how well you actually grok each block. ✍️ Passive + active in one document. The exposition is written to be read; the high-value steps are left blank (), proofs ship as skeletons (), and the book's examples are restaged as "your turn" computations. The source is your answer key. 🎨 Dyed in real pigments. Indigo, madder, weld, iron-gall — his
| Stars | 140 |
| Forks | 12 |
| Language | TeX |
| Category | Claude Skill |
| Quality Score | 61.7546675463337/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-29 |
| Created | 2026-06-27 |
| Platforms | claude-code |
| Est. Tokens | ~17k |
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loom-notes is A gorgeous XeLaTeX class + Claude skill for fill-in study notes — read and fill, learn by active recall.. It is categorized as a Claude Skill with 140 GitHub stars.
loom-notes is primarily written in TeX. It covers topics such as active-recall, claude, education.
You can find installation instructions and usage details in the loom-notes GitHub repository at github.com/Polaris-Aeterna/loom-notes. The project has 140 stars and 12 forks, indicating an active community.
The top alternatives to loom-notes on Agent Skills Hub include beamer-academic, Archon, zettelkasten-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: