saas-product-demo-video: Skill for shipping a 20-45s SaaS product demo video in Remotion

by noamdorr · Claude Skill · ★ 61

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

How to install saas-product-demo-video

git clone https://github.com/noamdorr/saas-product-demo-video.git

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

Security audit verdict: SAFE · quality 77/100

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.

claude-codemarketingmotion-graphicsremotionsaasvideo

Quick Facts

Stars61
Forks3
LanguageTypeScript
CategoryClaude Skill
LicenseMIT
Quality Score77/100
Last Updated2026-10-21
Created2026-05-05
Platformsclaude-code, node
Est. Tokens~13k

About saas-product-demo-video

SaaS Product Demo Video Skill for Remotion A skill for producing a 20-45 second SaaS product demo video in Remotion. End-to-end: asset intake, beat detection from the soundtrack, schematic UI mockups when the product has no real UI to film, scene composition, and final render. It's packaged as a Claude Code skill (that's where it's been used in production), but the methodology is LLM-agnostic.

Compatible Skills

These tools work well together with saas-product-demo-video for enhanced workflows:

  • Monet — semantic(0.26)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • OpenReels — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)

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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:

View on GitHub → Browse Claude Skill tools