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 AgriciDaniel · Claude Skill · ★ 16.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-seo safe to install? View the security audit →
Claude SEO Comprehensive SEO analysis skill for Claude Code. Covers technical SEO, on-page analysis, content quality (E-E-A-T), schema markup, image optimization, sitemap architecture, AI search optimization (GEO), and strategic planning. Installation One-Command Install (Unix/macOS/Linux) Manual Install Windows Quick Start Demo: Watch the full demo on YouTube — full site audit with parallel subagents: Command
| Stars | 16,746 |
| Forks | 2,451 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 76.397596542892/100 |
| Open Issues | 16 |
| Last Updated | 2026-09-11 |
| Created | 2026-02-07 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
These tools work well together with claude-seo for enhanced workflows:
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claude-seo is Universal SEO skill for Claude Code. 25 sub-skills + 18 sub-agents covering technical SEO, E-E-A-T, schema, GEO/AEO, backlinks, local SEO, maps intelligence, semantic clustering, e-commerce SEO, inter. It is categorized as a Claude Skill with 16.7k GitHub stars.
claude-seo is primarily written in Python. It covers topics such as ai, ai-seo, claude-code.
You can find installation instructions and usage details in the claude-seo GitHub repository at github.com/AgriciDaniel/claude-seo. The project has 16.7k stars and 2451 forks, indicating an active community.
claude-seo is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-seo on Agent Skills Hub include rowboat, serena, context-mode. 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: