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 aaron-he-zhu · Claude Skill · ★ 191
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is seo-geo-claude-skills safe to install? View the security audit →
SEO & GEO Skills Library Claude Skills and Commands for Search Engine Optimization (SEO) and Generative Engine Optimization (GEO). 20 skills, 9 commands, tool-agnostic, works with or without integrations. Content quality powered by the CORE-EEAT Content Benchmark. Domain authority powered by the CITE Domain Rating. SEO gets you ranked in search results. GEO gets you cited by AI systems (ChatGPT, Perplexity, Google AI Overviews). This library covers both. Quick Start Works with Claude Code, OpenClaw, Cursor, Codex, and 35+ other agents. No other dependencies. Install — pick the method for your tool: /plugin marketplace add a
| Stars | 191 |
| Forks | 25 |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 66.9567617937564/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-04 |
| Created | 2026-06-28 |
| Platforms | claude-code |
| Est. Tokens | ~20k |
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seo-geo-claude-skills is Signpost → the 16 SEO/GEO agent skills live in aaron-marketing-skills; this repo's standalone 20-skill line is preserved at tag v9.9.12. Install: npx skills add aaron-he-zhu/aaron-marketing-skills. It is categorized as a Claude Skill with 191 GitHub stars.
You can find installation instructions and usage details in the seo-geo-claude-skills GitHub repository at github.com/aaron-he-zhu/seo-geo-claude-skills. The project has 191 stars and 25 forks, indicating an active community.
seo-geo-claude-skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to seo-geo-claude-skills on Agent Skills Hub include digital-marketing-pro, life-sciences, claude-ai-mcp. 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: