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 Barty-Bart · Claude Skill · ★ 649
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is motion-graphics safe to install? View the security audit →
motion-graphics Free video-editing skills for Claude Code. Each skill does one job. Want my entire AI video editing process? I teach it step by step, with the full set of skills, in my community: Bart's AI Workshop More skills will be added to this repo. motion-broll Motion-graphic B-roll for your videos, made by Claude Code. Give it a video and a transcript and it plans, animates and renders clips timed to your words. Each clip is one continuous shape that keeps morphing (pill → card → terminal → chart) and never cuts, with a cursor driving every change. What you get You run , answer a few questions, approve a plan, and get back: The clips, named by where they go on your timeline (). Full-frame cutaways are MP4. Panels that
| Stars | 649 |
| Forks | 112 |
| Language | HTML |
| Category | Claude Skill |
| Quality Score | 59.4099941896954/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-13 |
| Created | 2026-09-25 |
| Platforms | claude-code, codex |
| Est. Tokens | ~17k |
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motion-graphics is Motion-graphics skills for Claude Code and Codex.. It is categorized as a Claude Skill with 649 GitHub stars.
motion-graphics is primarily written in HTML.
You can find installation instructions and usage details in the motion-graphics GitHub repository at github.com/Barty-Bart/motion-graphics. The project has 649 stars and 112 forks, indicating an active community.
The top alternatives to motion-graphics on Agent Skills Hub include claude-codex-settings, digital-marketing-pro, life-sciences. 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: