extreme-motion-design — security grade SAFE, quality 61/100

Security audit verdict: SAFE · quality 61/100

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 dev-isaacmello · Codex Skill · ★ 10

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

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

About extreme-motion-design

Skill de motion design por código (Remotion) com trilha, narração e QA automático. Para Claude, Claude Code e Codex.

agent-skillsclaude-codecodexmotion-designremotion

Quick Facts

Stars10
Forks2
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score60.9445747156921/100
Last Updated2026-10-11
Created2026-10-08
Platformsclaude-code, codex, python
Est. Tokens~15k

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Frequently Asked Questions

What is extreme-motion-design?

extreme-motion-design is Skill de motion design por código (Remotion) com trilha, narração e QA automático. Para Claude, Claude Code e Codex.. It is categorized as a Codex Skill with 10 GitHub stars.

What programming language is extreme-motion-design written in?

extreme-motion-design is primarily written in Python. It covers topics such as agent-skills, claude-code, codex.

How do I install or use extreme-motion-design?

You can find installation instructions and usage details in the extreme-motion-design GitHub repository at github.com/dev-isaacmello/extreme-motion-design. The project has 10 stars and 2 forks, indicating an active community.

What license does extreme-motion-design use?

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

What are the best alternatives to extreme-motion-design?

The top alternatives to extreme-motion-design on Agent Skills Hub include deterministic-agent-control-protocol, claude-memory-mcp, youtube-marketing-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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:

View on GitHub → Browse Codex Skill tools