claude-music-videos — security grade SAFE, quality 49/100

Security audit verdict: SAFE · quality 49/100

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 IdkwhatImD0ing · AI Tool · ★ 15

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

🔒 Is claude-music-videos safe to install? View the security audit →

About claude-music-videos

Music videos made with Claude in Claude Code, every frame rendered from code: a Blender tabletop miniature (P(doom)) and a League of Legends montage (PARANOIA)

Quick Facts

Stars15
Forks3
LanguagePython
CategoryAI Tool
LicenseMIT
Quality Score49.3926348788018/100
Open Issues1
Last Updated2026-10-04
Created2026-10-02
Platformsclaude-code, python
Est. Tokens~14k

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Frequently Asked Questions

What is claude-music-videos?

claude-music-videos is Music videos made with Claude in Claude Code, every frame rendered from code: a Blender tabletop miniature (P(doom)) and a League of Legends montage (PARANOIA). It is categorized as a AI Tool with 15 GitHub stars.

What programming language is claude-music-videos written in?

claude-music-videos is primarily written in Python.

How do I install or use claude-music-videos?

You can find installation instructions and usage details in the claude-music-videos GitHub repository at github.com/IdkwhatImD0ing/claude-music-videos. The project has 15 stars and 3 forks, indicating an active community.

What license does claude-music-videos use?

claude-music-videos 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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