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 JeffLi1993 · Codex Skill · ★ 762
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is seo-audit-skill safe to install? View the security audit →
seo-audit-skill English · 中文 Reusable Agent Skills for single-page SEO auditing. Give it a URL — get a structured HTML report with actionable findings. Built on a Script + LLM two-layer architecture: Python scripts handle deterministic checks (HTTP status, XML parsing, string matching), while the LLM handles semantic judgment (keyword intent, content quality, page type inference). Works with Claude Code, Cursor, and any agent runtime that supports SKILL.md. Report Output Each audit produces a standalone HTML report saved to . Skills | seo-audit
| Stars | 762 |
| Forks | 98 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70.0501932343483/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-17 |
| Created | 2026-03-10 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
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seo-audit-skill is SEO agent skill for OpenClaw,Claude Code, and AI agents. Generate beginner SEO audits and advanced technical SEO reports for any page.. It is categorized as a Codex Skill with 762 GitHub stars.
seo-audit-skill is primarily written in Python.
You can find installation instructions and usage details in the seo-audit-skill GitHub repository at github.com/JeffLi1993/seo-audit-skill. The project has 762 stars and 98 forks, indicating an active community.
seo-audit-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to seo-audit-skill on Agent Skills Hub include Claude-to-IM-skill, pi-skills, agent-skill-creator. 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: