by Liamrjohnston · Agent Tool · ★ 160
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Claude Video Editing & Remotion Skills
npx skills add liamrjohnston/remotion-motion-graphics-skill
npx skills add liamrjohnston/remotion-motion-graphics-skill -g
Taken from the project's README on GitHub.
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 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.
| Stars | 160 |
| Forks | 16 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 69/100 |
| Last Updated | 2026-07-24 |
| Created | 2026-07-23 |
| Platforms | node |
| Est. Tokens | ~17k |
Remotion Motion Graphics Skills Teach your AI coding agent to produce broadcast-quality motion graphics with Remotion. Kinetic text · AI workflow diagrams · cinematic camera moves · terminal demos · editorial highlights Works with Claude Code, Codex, Cursor, OpenCode, and 60+ other agents. What is this? Four Agent Skills that turn an AI coding agent into a motion-graphics artist.
These tools work well together with remotion-motion-graphics-skill for enhanced workflows:
Looking for a remotion-motion-graphics-skill alternative? If you're comparing remotion-motion-graphics-skill with other agent tool tools, these 2 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A Claude Code skill that turns PDFs, docs, and codebases into Obsidian study vaults
Power rename/refactor tool for CLI and agent use
Explore other popular agent tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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: