claude-video-kit: Agent Skill + Remotion pipeline: brief/script → review receipt → narrated 9:16 explainer

by runesleo · Agent Tool · ★ 120

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

How to install claude-video-kit

git clone https://github.com/runesleo/claude-video-kit.git
npx skills add runesleo/claude-video-kit --skill video-explainer

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

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-skillsclaude-coderemotionshort-videotts

Quick Facts

Stars120
Forks26
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score71/100
Open Issues1
Last Updated2026-10-26
Created2026-04-06
Platformsclaude-code, node
Est. Tokens~16k

About claude-video-kit

claude-video-kit English · 中文 · README.en.md Turn a research brief or JSON script into a vertical explainer — TTS + caption alignment + Remotion — without opening a timeline editor. Who it's for: people already writing research / technical explainers in Claude Code or Cursor who want a repeatable 9:16 pipeline with a pre-render review gate.

Compatible Skills

These tools work well together with claude-video-kit for enhanced workflows:

  • 30x-video — semantic(0.44)+complementary+rare_topics+same_lang+similar_pop+shared_platform (70%)
  • video-shotcraft — semantic(0.43)+complementary+rare_topics+same_lang+similar_pop+shared_platform (70%)
  • saas-product-demo-video — semantic(0.41)+complementary+rare_topics+same_lang+similar_pop+shared_platform (69%)
  • OpenChatCut — semantic(0.33)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • clipforge — semantic(0.29)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 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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