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 CloudAI-X · AI Tool · ★ 3.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is threejs-skills safe to install? View the security audit →
Three.js Skills for Claude Code A curated collection of Three.js skill files that provide Claude Code with foundational knowledge for creating 3D elements and interactive experiences. Purpose When working with Three.js, Claude Code starts with general programming knowledge but lacks specific Three.js API details, best practices, and common patterns. These skill files bridge that gap by providing: Accurate API references and constructor signatures Working code examples for common use cases Performance optimization tips Integration patterns between different Three.js systems Installation Clone this repository into your project or copy the directory: Or add as a submodule: Skills Included Light types, shadows, environment lighting,
| Stars | 3,446 |
| Forks | 390 |
| Category | AI Tool |
| Quality Score | 59.1705535284114/100 |
| Open Issues | 9 |
| Last Updated | 2026-07-09 |
| Created | 2026-01-19 |
| Est. Tokens | ~6k |
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threejs-skills is an open-source ai tool by CloudAI-X with 3.4k GitHub stars.
You can find installation instructions and usage details in the threejs-skills GitHub repository at github.com/CloudAI-X/threejs-skills. The project has 3.4k stars and 390 forks, indicating an active community.
The top alternatives to threejs-skills on Agent Skills Hub include claude-code-infrastructure-showcase, vision-agent, axton-obsidian-visual-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: