by AgriciDaniel · Agent Tool · ★ 140
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/AgriciDaniel/seo-os.git ~/seo-officeTaken from the project's README on GitHub. Check the security audit before running it.
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. 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 | 140 |
| Forks | 53 |
| Language | TypeScript |
| Category | Agent Tool |
| License | AGPL-3.0 |
| Quality Score | 67/100 |
| Open Issues | 3 |
| Last Updated | 2026-06-29 |
| Created | 2026-05-12 |
| Platforms | claude-code, node |
| Est. Tokens | ~19k |
SEO Office A local-first SEO agency operating system. Walk into a 3D office, click a desk, get work done. Twenty-five AI specialists run audits, research keywords, validate schema, plan content briefs, and tell you what to do next. Everything they learn lands in a per-client second brain on your disk. No cloud, no SaaS, no subscription. Open source under AGPL-3.0.
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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: