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git clone https://github.com/aronhy/geo-llms-toolkit.gitTaken 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 | 81 |
| Forks | 14 |
| Language | PHP |
| Category | AI Tool |
| Quality Score | 52/100 |
| Last Updated | 2026-03-31 |
| Created | 2026-03-24 |
| Est. Tokens | ~52k |
geo-llms-toolkit 开源 GEO 工具集，提供两条交付路径： Standalone CLI（任意站点：静态站 / Shopify / 自建 CMS） WordPress 插件（后台按钮化运维） 当前版本 Standalone CLI: WordPress Plugin (): 已补齐 WordPress 对 CLI 关键参数的对齐项（brand-token / exclude-domain / enrich-contacts / apify-allow-fallback-first）。 能力地图 GEO 扫描：robots / sitemap / llms 端点 + SEO/GEO 信号检查 LLMS 生成： / 竞品监控：关键词级监控、评分、优先级动作建议 外联流程：plan / run / verify / status / update 收录流程：discover /...
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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: