No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Leonxlnx · Claude Skill · ★ 83
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cinetic safe to install? View the security audit →
Cinematic launch films and motion design from code, directed by your coding agent. Kiln: a 25-second launch teaser that an agent branded, directed, scored and rendered from a two-sentence brief. The GIF is an excerpt; click it to download the full 1920x1080, 60 fps MP4 with sound (7 MB). cinetic (cinema + kinetic) is an agent skill that makes your co
| Stars | 83 |
| Forks | 9 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 64.5947519996334/100 |
| Last Updated | 2026-10-05 |
| Created | 2026-09-28 |
| Platforms | claude-code, python |
| Est. Tokens | ~20k |
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cinetic is Cinematic launch films and motion design from code, directed by your coding agent.. It is categorized as a Claude Skill with 83 GitHub stars.
cinetic is primarily written in Python. It covers topics such as agent-skills, claude-code, claude-skills.
You can find installation instructions and usage details in the cinetic GitHub repository at github.com/Leonxlnx/cinetic. The project has 83 stars and 9 forks, indicating an active community.
cinetic is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cinetic on Agent Skills Hub include genjutsu, product-launch-motion, tutor-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: