video-editor-agent — 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 krusemediallc · Claude Skill · ★ 18

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

🔒 Is video-editor-agent safe to install? View the security audit →

About video-editor-agent

Claude Code skill pack: edit short-form videos end to end — style-clone a reference reel, build a branded motion-graphics edit, ElevenLabs sound design, frame-level QA, timeline-comment review loop

Quick Facts

Stars18
Forks10
LanguagePython
CategoryClaude Skill
Quality Score56.0724862761838/100
Last Updated2026-09-25
Created2026-08-29
Platformsclaude-code, python
Est. Tokens~16k

Compatible Skills

These tools work well together with video-editor-agent for enhanced workflows:

  • agent-link — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)

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Frequently Asked Questions

What is video-editor-agent?

video-editor-agent is Claude Code skill pack: edit short-form videos end to end — style-clone a reference reel, build a branded motion-graphics edit, ElevenLabs sound design, frame-level QA, timeline-comment review loop. It is categorized as a Claude Skill with 18 GitHub stars.

What programming language is video-editor-agent written in?

video-editor-agent is primarily written in Python.

How do I install or use video-editor-agent?

You can find installation instructions and usage details in the video-editor-agent GitHub repository at github.com/krusemediallc/video-editor-agent. The project has 18 stars and 10 forks, indicating an active community.

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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