saas-motion-kit: Promo & motion videos for software products with HyperFrames + Claude Code

by tugrawork-creator · Claude Skill · ★ 254

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

Featured in: Claude Video Editing & Remotion Skills

How to install saas-motion-kit

git clone https://github.com/tugrawork-creator/saas-motion-kit && cd saas-motion-kit

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 66/100

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.

claude-codehyperframesmotion-designsaasstoryboardvideo

Quick Facts

Stars254
Forks21
LanguagePython
CategoryClaude Skill
Quality Score66/100
Last Updated2026-10-04
Created2026-09-25
Platformsclaude-code, python
Est. Tokens~16k

About saas-motion-kit

saas-motion-kit Promo and motion videos for software products, made with HyperFrames and Claude Code. The one rule: no two films should feel like the same film. Don't repeat effects, transitions or components. Invent a new component for every film. Decide the message and the tone before you pick a single effect. This kit trains that creative muscle.

Compatible Skills

These tools work well together with saas-motion-kit for enhanced workflows:

  • guizang-product-video-skill — semantic(0.33)+complementary+rare_topics+same_lang+similar_pop+shared_platform (71%)
  • MotionClone — semantic(0.36)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • motiscope — semantic(0.30)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • ai-film-skills — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop+shared_platform (64%)

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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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