Agentic-SEO-Skill: An LLM-first SEO analysis skill for Antigravity, Codex, Claude with 16 specialized sub-skills, 10 specialist

by Bhanunamikaze · Claude Skill · ★ 968

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

Featured in: Claude SEO Skills & SEO MCP Servers

How to install Agentic-SEO-Skill

git clone https://github.com/Bhanunamikaze/Agentic-SEO-Skill.git

Taken from the project's README on GitHub. Check the security audit before running it.

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. 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.

ai-skillai-skillsantigravity-aiantigravity-skillsantigravity-toolsclaude-skillclaude-skillscodex-skillcodex-skillsseo

Quick Facts

Stars968
Forks151
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score69/100
Open Issues11
Last Updated2026-10-14
Created2026-03-02
Platformsclaude-code, codex, python
Est. Tokens~18k

About Agentic-SEO-Skill

SEO Skill (Antigravity / Claude / Codex) An LLM-first SEO analysis skill for agent IDEs, with 16 specialized sub-skills, 10 specialist agents, and 33 scripts used as evidence collectors and workflow automation.

Compatible Skills

These tools work well together with Agentic-SEO-Skill for enhanced workflows:

  • skill-generator — semantic(0.39)+complementary+rare_topics+same_lang+similar_pop+shared_platform (68%)
  • seo-research-mcp — semantic(0.26)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • claude-skills — semantic(0.27)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)

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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:

View on GitHub → Browse Claude Skill tools