by Moh4696 · Codex Skill · ★ 55
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Claude Video Editing & Remotion Skills
npx skills add Moh4696/cinematic-skill
/plugin marketplace add Moh4696/cinematic-skillTaken from the project's README on GitHub.
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 | 55 |
| Forks | 2 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 72/100 |
| Last Updated | 2026-11-09 |
| Created | 2026-11-09 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~15k |
Cinematic Skill Narrated cinematic films, built entirely from code, by your coding agent. Ask your agent for "a 90 second documentary about the Wright brothers" and it writes the script, records a voice, finds public-domain photos with their licences, and builds one continuous camera move over a single designed world.
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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: