google-yandex-seo-skill: Self-contained Cursor/OpenClaw SEO audit skill for Google and Yandex

by Horosheff · Codex Skill · ★ 39

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

Security audit verdict: SAFE · quality 65/100

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.

Quick Facts

Stars39
Forks8
LanguageJavaScript
CategoryCodex Skill
LicenseMIT
Quality Score65/100
Last Updated2026-03-11
Created2026-03-10
Platformsnode
Est. Tokens~15k

About google-yandex-seo-skill

Self-contained Cursor/OpenClaw SEO audit skill for Google and Yandex.

Compatible Skills

These tools work well together with google-yandex-seo-skill for enhanced workflows:

  • claude-code-mcp-enhanced — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (60%)
  • agentic-seo — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)
  • yan-skills — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)

google-yandex-seo-skill alternative? Top 1 similar tools

Looking for a google-yandex-seo-skill alternative? If you're comparing google-yandex-seo-skill with other codex skill tools, these 1 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • theorist by blader · ⭐ 191

    A Codex/Claude skill that maintains per-repo operating theory documents.

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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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