by sunxiayi · Claude Skill · ★ 67
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Featured in: Blender, Unity & Godot MCP · Claude Video Editing & Remotion Skills
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 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 | 67 |
| Forks | 13 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 67/100 |
| Last Updated | 2026-07-25 |
| Created | 2026-07-18 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~14k |
Make Blender Education Video An installable Codex and Claude Code skill for creating fact-checked English cinematic educational videos in Blender. The skill guides an AI coding agent through the full production process: collecting a precise brief, researching and fact-checking the subject, finding reusable Blender workflows on GitHub, designing the explanation, building the scene, approving one...
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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: