3brown1blue — security grade SAFE, quality 66/100

Security audit verdict: SAFE · quality 66/100

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 AmitSubhash · Claude Skill · ★ 36

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

🔒 Is 3brown1blue safe to install? View the security audit →

About 3brown1blue

First-principles Manim skill for Claude Code — mathematical animation from scratch, paper-explainer patterns, 21 rule files.

3blue1brownai-agentsanimationclaude-codeexplainermanimmath

Quick Facts

Stars36
Forks3
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score65.9540047889304/100
Last Updated2026-06-27
Created2026-03-17
Platformsclaude-code, python
Est. Tokens~16k

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Frequently Asked Questions

What is 3brown1blue?

3brown1blue is First-principles Manim skill for Claude Code — mathematical animation from scratch, paper-explainer patterns, 21 rule files.. It is categorized as a Claude Skill with 36 GitHub stars.

What programming language is 3brown1blue written in?

3brown1blue is primarily written in Python. It covers topics such as 3blue1brown, ai-agents, animation.

How do I install or use 3brown1blue?

You can find installation instructions and usage details in the 3brown1blue GitHub repository at github.com/AmitSubhash/3brown1blue. The project has 36 stars and 3 forks, indicating an active community.

What license does 3brown1blue use?

3brown1blue is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to 3brown1blue?

The top alternatives to 3brown1blue on Agent Skills Hub include PAIDEIA, PAIDEIA, claude-historian-mcp. 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 Claude Skill tools