No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Auriti-Labs · MCP Server · ★ 877
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is geo-optimizer-skill safe to install? View the security audit →
The open-source Answer Engine Optimization (AEO) & Generative Engine Optimization (GEO) toolkit. Audit, optimize, and track whether ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews can crawl, understand, and cite your website. [ & Answer Engine Optimization (AEO) toolkit — optimize content
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geo-optimizer-skill is Open-source Answer Engine Optimization (AEO) & Generative Engine Optimization (GEO) toolkit — audit, optimize & track whether ChatGPT, Perplexity, Gemini & Google AI Overviews cite your site. AI SEO /. It is categorized as a MCP Server with 877 GitHub stars.
geo-optimizer-skill is primarily written in Python. It covers topics such as aeo, ai-search-optimization, ai-seo.
You can find installation instructions and usage details in the geo-optimizer-skill GitHub repository at github.com/Auriti-Labs/geo-optimizer-skill. The project has 877 stars and 104 forks, indicating an active community.
geo-optimizer-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to geo-optimizer-skill on Agent Skills Hub include eGEOagents, codex-seo, archestra. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: