SoDam-SeoMedic: Claude Code 플러그인 — 웹사이트 SEO/GEO 진단 + GSC/GA4/PSI 연동

by sodam-ai · MCP Server · ★ 16

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

Security audit verdict: SAFE · quality 53/100

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.

claude-codegeomcpnextjsplaywrightseoseo-toolssqlitetypescript

Quick Facts

Stars16
Forks3
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score53/100
Last Updated2026-09-11
Created2026-07-03
Platformsclaude-code, mcp, node
Est. Tokens~13k

About SoDam-SeoMedic

Claude Code 플러그인 — 웹사이트 SEO/GEO 진단(크롤·렌더·CWV·구조화데이터·AI크롤러정책·회귀감지) + GSC/GA4/PSI 연동. Next.js 프로젝트 승인 기반 자동수정(canonical·OG·noindex·robots·JSON-LD·제목·메타설명) + GitHub 저장소 PR 제안(실험적)

Compatible Skills

These tools work well together with SoDam-SeoMedic for enhanced workflows:

  • agentic-seo-skills — semantic(0.40)+complementary+same_lang+similar_pop+shared_platform (64%)
  • localseoskills — semantic(0.49)+complementary+rare_topics+similar_pop+shared_platform (61%)

SoDam-SeoMedic alternative? Top 6 similar tools

Looking for a SoDam-SeoMedic alternative? If you're comparing SoDam-SeoMedic with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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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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