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git clone https://github.com/makevoid/motion-graphics-music-video-skill.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 | 184 |
| Forks | 24 |
| Language | Ruby |
| Category | AI Tool |
| License | MIT |
| Quality Score | 66/100 |
| Last Updated | 2026-10-13 |
| Created | 2026-09-26 |
| Platforms | ruby |
| Est. Tokens | ~17k |
Motion graphics music video plugin A Claude Code plugin for creating high quality motion graphics videos from just a music track and a prompt - This skill is made to be used with Opus 5.5 It includes Image generation and editing with GPT 2.5 Sunburts xhigh for generating characters and potentially other graphics, MiniMax H3 to animate the characters and the graphics in a with a greenscreen...
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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: