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 buildwithhanif · AI Tool · ★ 34
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-animation-skill safe to install? View the security audit →
Hand-drawn 2D animation written as code: detail bible, a detailed ant rig, brush/watercolour pen, frame-matched recreation loop, synthesised sound. Node canvas + ffmpeg.
| Stars | 34 |
| Forks | 5 |
| Language | JavaScript |
| Category | AI Tool |
| License | MIT |
| Quality Score | 63.9167708252839/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-23 |
| Created | 2026-09-23 |
| Platforms | claude-code, node |
| Est. Tokens | ~14k |
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claude-animation-skill is Hand-drawn 2D animation written as code: detail bible, a detailed ant rig, brush/watercolour pen, frame-matched recreation loop, synthesised sound. Node canvas + ffmpeg.. It is categorized as a AI Tool with 34 GitHub stars.
claude-animation-skill is primarily written in JavaScript.
You can find installation instructions and usage details in the claude-animation-skill GitHub repository at github.com/buildwithhanif/claude-animation-skill. The project has 34 stars and 5 forks, indicating an active community.
claude-animation-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-animation-skill on Agent Skills Hub include claude-code-voice-skill, maui-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: