motion-video-skill: Agent skill that produces beat-synced 1080p motion-graphic videos in HyperFrames with an AI voice-over

by bestagentkits · Claude Skill · ★ 141

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

Featured in: Claude Video Editing & Remotion Skills

How to install motion-video-skill

npx skills add bestagentkits/motion-video-skill
npx skills add bestagentkits/motion-video-skill --list

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 75/100

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.

agent-skillsbeat-syncchatgpt-pluginsclaude-codeclaude-plugincodexgsaphyperframesmotion-graphicsvideo

Quick Facts

Stars141
Forks40
LanguageJavaScript
CategoryClaude Skill
LicenseMIT
Quality Score75/100
Open Issues2
Last Updated2026-09-28
Created2026-09-25
Platformsclaude-code, codex, node
Est. Tokens~6k

About motion-video-skill

Motion Video An agent skill that produces a beat-synced 1920×1080 30 fps motion-graphic video: the scene cuts land on the music's beats, the reveals land on the spoken words, and the audio is broadcast-clean. MIT licensed. Works with Claude Code, Codex, Cursor, OpenCode, Gemini CLI, Pi and any other agent that reads Agent Skills.

Compatible Skills

These tools work well together with motion-video-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:

View on GitHub → Browse Claude Skill tools