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 Bhanunamikaze · Claude Skill · ★ 832
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Agentic-SEO-Skill safe to install? View the security audit →
SEO Skill (Antigravity / Claude / Codex) An LLM-first SEO analysis skill for agent IDEs, with 16 specialized sub-skills, 10 specialist agents, and 33 scripts used as evidence collectors and workflow automation. IDE Compatibility Antigravity IDE () Claude Code () Codex () 📦 Current Inventory Specialized sub-skills: Specialist agents: Scripts in : ( Python + shell validation helper) 🐙 GitHub SEO Metadata Recommended GitHub repository description (About field): Suggested GitHub topics: ✨ Features | seo image
| Stars | 832 |
| Forks | 131 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 69.2731399827643/100 |
| Open Issues | 11 |
| Last Updated | 2026-07-23 |
| Created | 2026-03-02 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~18k |
These tools work well together with Agentic-SEO-Skill for enhanced workflows:
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Agentic-SEO-Skill is An LLM-first SEO analysis skill for Antigravity, Codex, Claude with 16 specialized sub-skills, 10 specialist agents, and 88 optional utility scripts used as evidence collectors.. It is categorized as a Claude Skill with 832 GitHub stars.
Agentic-SEO-Skill is primarily written in Python. It covers topics such as ai-skill, ai-skills, antigravity-ai.
You can find installation instructions and usage details in the Agentic-SEO-Skill GitHub repository at github.com/Bhanunamikaze/Agentic-SEO-Skill. The project has 832 stars and 131 forks, indicating an active community.
Agentic-SEO-Skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Agentic-SEO-Skill on Agent Skills Hub include playwright-skill, marketplace, antigravity-workflows. 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: