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 Sunwood-ai-labs · Claude Skill · ★ 100
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is hyperframes-motion-reel-skill safe to install? View the security audit →
HyperFrames Motion Reel Skill Showreel-grade motion graphics, written as code. A Claude Code skill that turns a one-line theme into a beat-synced, render-ready HyperFrames video. directs Claude Code to act as a senior motion designer and creative coder. From a s
| Stars | 100 |
| Forks | 16 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 67.270981184312/100 |
| Last Updated | 2026-09-29 |
| Created | 2026-09-29 |
| Platforms | claude-code |
| Est. Tokens | ~6k |
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hyperframes-motion-reel-skill is 🎬 Claude Code skill for showreel-grade, beat-synced motion graphics with HyperFrames (HTML + GSAP + SVG + Canvas, Apache-2.0) — 120 BPM / 60 FPS to MP4. It is categorized as a Claude Skill with 100 GitHub stars.
You can find installation instructions and usage details in the hyperframes-motion-reel-skill GitHub repository at github.com/Sunwood-ai-labs/hyperframes-motion-reel-skill. The project has 100 stars and 16 forks, indicating an active community.
hyperframes-motion-reel-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to hyperframes-motion-reel-skill on Agent Skills Hub include product-launch-motion, genjutsu, vox-ai-motion-graphics-generator. 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: