JJKoubo — security grade SAFE, quality 64/100

Security audit verdict: SAFE · quality 64/100

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 darrenli6 · Codex Skill · ★ 32

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

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About JJKoubo

JJ Koubo (JJ口播) is a local-first collection of video editing Skills for talking-head, interview, knowledge-sharing, and other videos centered on spoken content. The Skills can be used through Codex or other compatible Agent environments.

Quick Facts

Stars32
Forks7
LanguageJavaScript
CategoryCodex Skill
Quality Score63.5091141883553/100
Last Updated2026-08-20
Created2026-08-14
Platformscodex, node
Est. Tokens~15k

Compatible Skills

These tools work well together with JJKoubo for enhanced workflows:

  • ContentMachine — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)
  • skillboss-skills — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • cutcli-cookbook — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)

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Frequently Asked Questions

What is JJKoubo?

JJKoubo is JJ Koubo (JJ口播) is a local-first collection of video editing Skills for talking-head, interview, knowledge-sharing, and other videos centered on spoken content. The Skills can be used through Codex or. It is categorized as a Codex Skill with 32 GitHub stars.

What programming language is JJKoubo written in?

JJKoubo is primarily written in JavaScript.

How do I install or use JJKoubo?

You can find installation instructions and usage details in the JJKoubo GitHub repository at github.com/darrenli6/JJKoubo. The project has 32 stars and 7 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:

View on GitHub → Browse Codex Skill tools