make-blender-education-video-skill — security grade SAFE, quality 67/100

Security audit verdict: SAFE · quality 67/100

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 sunxiayi · Claude Skill · ★ 45

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

🔒 Is make-blender-education-video-skill safe to install? View the security audit →

About make-blender-education-video-skill

A Codex and Claude Code skill for creating fact-checked cinematic educational videos with Blender

Quick Facts

Stars45
Forks13
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score66.7274451708533/100
Last Updated2026-07-25
Created2026-07-18
Platformsclaude-code, codex, python
Est. Tokens~14k

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Frequently Asked Questions

What is make-blender-education-video-skill?

make-blender-education-video-skill is A Codex and Claude Code skill for creating fact-checked cinematic educational videos with Blender. It is categorized as a Claude Skill with 45 GitHub stars.

What programming language is make-blender-education-video-skill written in?

make-blender-education-video-skill is primarily written in Python.

How do I install or use make-blender-education-video-skill?

You can find installation instructions and usage details in the make-blender-education-video-skill GitHub repository at github.com/sunxiayi/make-blender-education-video-skill. The project has 45 stars and 13 forks, indicating an active community.

What license does make-blender-education-video-skill use?

make-blender-education-video-skill 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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