by KyaniteLabs · MCP Server · ★ 222
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uvx --from kinocut kino doctor
pip install kinocutTaken from the project's README on GitHub. Check the security audit before running it.
Flagged: sudo usage. 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 | 222 |
| Forks | 47 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68/100 |
| Open Issues | 6 |
| Last Updated | 2026-10-26 |
| Created | 2026-03-21 |
| Platforms | claude-code, cli, gemini, mcp, python |
| Est. Tokens | ~18k |
Kinocut Guardrailed video editing MCP server for AI agents. Structured tools for FFmpeg video editing, cinematic prompt planning, media analysis, subtitles, audio, effects, Hyperframes video creation, local repurposing packages, and preflight validation that helps prevent silent bad media output.
These tools work well together with kinocut 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: