GEOHub: open, evidence-bounded GEO and SEO agent skills for AI Search, with research-grounded discovery, diagnosis

by yaojingang · Codex Skill · ★ 123

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

Security audit verdict: SAFE · quality 69/100

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.

agent-skillsai-searchclaudecodexgenerative-engine-optimizationgeopythonseo

Quick Facts

Stars123
Forks19
LanguageHTML
CategoryCodex Skill
LicenseAGPL-3.0
Quality Score69/100
Last Updated2026-08-31
Created2026-08-09
Platformsclaude-code, codex
Est. Tokens~17k

About GEOHub

GEO SEO Hub Version 0.5.0 · Experimental · GEO-first · SEO-ready GEO SEO Hub is an open, protocol-first agent skill hub with active GEO workflows and an SEO-ready shared foundation. Version 0.5.0 turns generative engine optimization work into auditable, reusable runs through a registry-driven control plane, Artifact Bus, evaluation lab, discovery, diagnosis, content, measurement, strategy...

Compatible Skills

These tools work well together with GEOHub for enhanced workflows:

  • seo-skills — semantic(0.55)+complementary+rare_topics+same_lang+similar_pop+shared_platform (78%)
  • eGEOagents — semantic(0.53)+complementary+rare_topics+same_lang+similar_pop+shared_platform (73%)

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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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