by gustavomenani · Claude Skill · ★ 63
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/gustavomenani/editing-gameplay-montages.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 | 63 |
| Forks | 7 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 61/100 |
| Last Updated | 2026-10-21 |
| Created | 2026-10-11 |
| Platforms | claude-code, cli, python |
| Est. Tokens | ~16k |
Edit de gameplay no beat, feito pelo Claude Code Uma skill do Claude Code que transforma clipes de Valorant, CS2 ou outro FPS e uma música num edit pronto para TikTok, Reels ou Shorts. Ela coloca cada kill no beat, faz slow motion suave com interpolação por IA, transições no grave da música ou no ritmo das kills (você escolhe), zooms curtos nas kills e palavras da letra na tela, e entrega até a...
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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: