by AgriciDaniel · AI Tool · ★ 703
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/AgriciDaniel/jev-seo.gitTaken from the project's README on GitHub. Check the security audit before running it.
Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
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.
| Stars | 703 |
| Forks | 109 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 61/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-22 |
| Created | 2026-09-22 |
| Platforms | browser, python |
| Est. Tokens | ~16k |
jev-seo is a live SEO audit for any website, from one homepage URL. It crawls the site, checks it against 52 rules tied to Google Search Central, measures Core Web Vitals, and asks Jev, TypeSafe's System One model, typed questions about every page. Code scores and ranks every fix, and you get a designed PDF, an Excel action tracker and a Markdown report, all built from the same data.
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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: