motion-design-claude-code — security grade SAFE, quality 56/100

Security audit verdict: SAFE · quality 56/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by cblain100-prog · AI Tool · ★ 13

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

🔒 Is motion-design-claude-code safe to install? View the security audit →

About motion-design-claude-code

Motion design de lancement façon agence avec Claude Code + HyperFrames (HeyGen), sans savoir coder : la méthode en skill, les patterns de 56 films, les modèles et 3 exemples.

Quick Facts

Stars13
Forks8
LanguageHTML
CategoryAI Tool
LicenseMIT
Quality Score56.0902361350725/100
Last Updated2026-09-30
Created2026-09-28
Platformsclaude-code
Est. Tokens~21k

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Frequently Asked Questions

What is motion-design-claude-code?

motion-design-claude-code is Motion design de lancement façon agence avec Claude Code + HyperFrames (HeyGen), sans savoir coder : la méthode en skill, les patterns de 56 films, les modèles et 3 exemples.. It is categorized as a AI Tool with 13 GitHub stars.

What programming language is motion-design-claude-code written in?

motion-design-claude-code is primarily written in HTML.

How do I install or use motion-design-claude-code?

You can find installation instructions and usage details in the motion-design-claude-code GitHub repository at github.com/cblain100-prog/motion-design-claude-code. The project has 13 stars and 8 forks, indicating an active community.

What license does motion-design-claude-code use?

motion-design-claude-code is released under the MIT license, making it free to use and modify according to the license terms.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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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