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 NomaDamas · Agent Tool · ★ 711
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is CozyClay safe to install? View the security audit →
Block a scene, pose the cast, cut the camera — in a browser tab. Created and maintained by Doyun at NomaDamas. Try it in the browser · Greybox to AI video · Previs software compared · Quick start · Features · AI control · Controls · Issues CozyClay is a browser-based 3D staging studio built with Three.js and React Three Fiber. Block a scene, pose characters, sequence motion prompts on a timeline, a
| Stars | 711 |
| Forks | 77 |
| Language | JavaScript |
| Category | Agent Tool |
| License | AGPL-3.0 |
| Quality Score | 67.3514229722665/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-20 |
| Created | 2026-07-28 |
| Platforms | browser, node |
| Est. Tokens | ~17k |
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CozyClay is Open source previs software in the browser: block a scene, pose characters, author camera moves and cuts, then take the same shots to an AI video model.. It is categorized as a Agent Tool with 711 GitHub stars.
CozyClay is primarily written in JavaScript. It covers topics such as 3d, 3d-animation, ai.
You can find installation instructions and usage details in the CozyClay GitHub repository at github.com/NomaDamas/CozyClay. The project has 711 stars and 77 forks, indicating an active community.
CozyClay is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to CozyClay on Agent Skills Hub include CozyClay, img2threejs, noobot. 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: