youtube-sponsor-detection: Detect youtube sponsor segment with live audio and transcript powered by Jev

by trungdq88 · AI Tool · ★ 116

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

Security audit verdict: SAFE · quality 59/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars116
Forks16
LanguageJavaScript
CategoryAI Tool
Quality Score59/100
Open Issues2
Last Updated2026-09-18
Created2026-09-17
Platformsnode
Est. Tokens~15k

About youtube-sponsor-detection

Sponsor Skip Skips sponsor reads on YouTube. A Chrome extension finds each read with Jev (TypeSafe's System One model) and jumps past it while you watch; a small web app does the same for a pasted link. Code owns every timestamp: Jev only ever names a transcript line or answers yes/no about what it heard. You need a TypeSafe API key.

Compatible Skills

These tools work well together with youtube-sponsor-detection for enhanced workflows:

  • youtube-marketing-skills — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (60%)
  • jev-browser — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • awesome-jev-projects — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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