by deepakness · Agent Tool · ★ 137
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npx skills add deepakness/google-ai-search-optimization
npx skills add deepakness/google-ai-search-optimization --globalTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 137 |
| Forks | 10 |
| Category | Agent Tool |
| Quality Score | 69/100 |
| Open Issues | 3 |
| Last Updated | 2026-05-16 |
| Created | 2026-05-16 |
| Est. Tokens | ~2k |
Google AI Search Optimization Skill An open Agent Skill for applying Google's official guidance on optimizing websites for generative AI features in Google Search, including AI Overviews and AI Mode. This skill helps AI agents explain, audit, plan, and implement SEO work based on Google's current public recommendations.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: