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 iannuttall · MCP Server · ★ 469
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is seo safe to install? View the security audit →
SEO Skill The SEO command for AI agents. Audit sites, find search opportunities, research competitors, and verify the work from one local command and MCP server. Get started · Features · SEO MCP server · Documentation · npm · Questions · Privacy · Security · License · Agent notes <img alt="Node 22 or newer
| Stars | 469 |
| Forks | 36 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 65.2656513186716/100 |
| Last Updated | 2026-09-06 |
| Created | 2026-07-10 |
| Platforms | cli, mcp, node |
| Est. Tokens | ~23k |
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seo is The only SEO skill your agent needs. 70+ SEO audit tools through a local CLI and MCP server, using your own crawl, Search Console, and GA4 data.. It is categorized as a MCP Server with 469 GitHub stars.
seo is primarily written in TypeScript. It covers topics such as ai-agents, cli, google-analytics.
You can find installation instructions and usage details in the seo GitHub repository at github.com/iannuttall/seo. The project has 469 stars and 36 forks, indicating an active community.
seo 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 on Agent Skills Hub include maestro, canonry, better-agents. 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: