CozyClay: Open source previs software in the browser: block a scene, pose characters, author camera moves and cuts, then

by HaD0Yun · Agent Tool · ★ 168

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install CozyClay

git clone https://github.com/HaD0Yun/CozyClay.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 67/100

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.

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.

3d3d-animationaiai-videoanimationblendercamera-controlllm-agentmotion-generationprevis

Quick Facts

Stars168
Forks20
LanguageJavaScript
CategoryAgent Tool
LicenseGPL-3.0
Quality Score67/100
Open Issues7
Last Updated2026-08-20
Created2026-07-28
Platformsbrowser, node
Est. Tokens~13k

About CozyClay

CozyClay CozyClay is an independent, browser-based 3D staging studio built with Three.js and React Three Fiber. It combines scene blocking, character posing, prompt-block sequencing, waypoint planning, IK editing, and generated-motion preview in one local workspace. CozyClay can connect to NVIDIA ARDY for motion generation.

Compatible Skills

These tools work well together with CozyClay for enhanced workflows:

  • blender-skills — semantic(0.44)+complementary+rare_topics+same_lang+similar_pop+shared_platform (70%)
  • meshy-mcp-server — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • Vibe3DScene — semantic(0.47)+complementary+rare_topics+similar_pop (60%)

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How this security grade is produced

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:

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