by ALLENLION35 · Agent Tool · ★ 91
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx skills add ALLENLION35/geo-first-principles --skill geo-first-principles
npx skills add ALLENLION35/geo-first-principles --listTaken 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 | 91 |
| Forks | 2 |
| Language | HTML |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 58/100 |
| Last Updated | 2026-09-14 |
| Created | 2026-09-06 |
| Est. Tokens | ~17k |
GEO第一性原理 先讲清客户为什么买，再判断 GEO 是否值得做、值在哪里。 作者：allenlion · 版本：1.1 · 许可证：MIT 面向企业负责人、营销负责人和企业服务团队的经营分析 Skill。从行业竞争、客户购买与企业增长出发，判断 AI 能改变哪项选择、带来什么业务价值，以及当前最值得的投入方式。 GEO（Generative Engine Optimization，生成式引擎优化）关注内容在生成式 AI 回答中的可见性，概念可参见 GEO 原始论文。本 Skill 从经营角度进一步分析：这种呈现能否帮助客户发现、理解和核验企业的真实价值，影响选择并带来业务改善。 这里的“第一性原理”，是从客户任务、交易条件与企业收益出发推导投入必要性。分析不预设每家企业都适合 GEO，结论可以是开始、扩大、改善、维持、小范围确认机会或暂缓。 本 Skill 是 GEO 十环开源体系的第...
Explore other popular agent tool tools:
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: