s33k: Open, self-hosted, single-user SEO, AI-search (AEO), and analytics suite you run from your own LLM over MCP

by benjaminard · MCP Server · ★ 2

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

Security audit verdict: SAFE · quality 45/100

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.

aeoanalyticscookielessgenerative-engine-optimizationheadlessllmmcpmodel-context-protocolnextjsprivacy

Quick Facts

Stars2
Forks0
LanguageTypeScript
CategoryMCP Server
Quality Score45/100
Open Issues5
Last Updated2026-07-07
Created2026-07-01
Platformsmcp, node
Est. Tokens~13k

About s33k

Open, self-hosted, single-user SEO, AI-search (AEO), and analytics suite you run from your own LLM over MCP. A fork of SerpBear (MIT).

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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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