remotion-motion-graphics-skill: Production-ready Remotion motion graphics skills for AI video workflows

by Liamrjohnston · Agent Tool · ★ 160

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: Claude Video Editing & Remotion Skills

How to install remotion-motion-graphics-skill

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.

Security audit verdict: SAFE · quality 69/100

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.

Quick Facts

Stars160
Forks16
LanguageJavaScript
CategoryAgent Tool
LicenseMIT
Quality Score69/100
Last Updated2026-07-24
Created2026-07-23
Platformsnode
Est. Tokens~17k

About remotion-motion-graphics-skill

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.

Compatible Skills

These tools work well together with remotion-motion-graphics-skill for enhanced workflows:

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How this security grade is produced

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:

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