by remotion-dev · Agent Tool · ★ 6.5k
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Featured in: Claude Code Skills · Claude Video Editing & Remotion Skills
npx skills add remotion-dev/skillsTaken 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.
One of 36 tools we ran end to end on the same task for our Claude Code Skills page (2026-10-11).
Result: 12 distinct skills · 100% meet the format · installed whole, every skill keeps its description
One of 16 tools we ran end to end on the same task for our Claude Video Editing & Remotion Skills page (2026-10-11).
Our pick (To build your own design in Remotion): Remotion's own skills: reliable rendering in 4.5 minutes. The film it makes unprompted is close to the default, so bring your own design direction.
Result: Remotion's own skills: a solid film in 4.5 minutes, no sound. · made the 15-second test film in 4.5 min · all four checks passed · no sound · close to the no-skill film
| Stars | 6,528 |
| Forks | 709 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 50/100 |
| Open Issues | 23 |
| Last Updated | 2026-11-05 |
| Created | 2026-01-19 |
| Platforms | node |
| Est. Tokens | ~14k |
Remotion Agent Skills Remotion maintains a list of Agent Skills that define best practices for working in Remotion projects. These skills are useful for AI agents like Claude Code, Codex, Kimi Code or Cursor. You can install them by running: You are also offered the option to add skills when you create a new Remotion project: For more information, see the Remotion Agent Skills documentation.
These tools work well together with skills for enhanced workflows:
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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: