by k-telux · Agent Tool · ★ 221
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npx skills add k-telux/OpticalModelerTaken from the project's README on GitHub.
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.
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 | 221 |
| Forks | 2 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 71/100 |
| Last Updated | 2026-10-07 |
| Created | 2026-07-15 |
| Platforms | python |
| Est. Tokens | ~14k |
OpticalModeler From 2D photonics schematics to physically auditable Blender optical tables. OpticalModeler is an evidence-first Agent Skill for reconstructing laboratory optical paths in Blender. It treats optical topology, real apertures, manufacturer CAD, fasteners, load paths, fiber routing, and artifact lineage as hard acceptance gates—not decorative details. Independent community project.
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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: