geo-doctor: GEO 医生:一句话装进 AI 助手,查清豆包、DeepSeek、ChatGPT、Claude 为什么不推荐你,改资料、写内容、再复查

by Fangx-AI · Agent Tool · ★ 156

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install geo-doctor

npx github:Fangx-AI/geo-doctor https://你的网站/重要页面 --phrase "页面里的一句关键正文"
npx github:Fangx-AI/geo-doctor https://你的网站 --badge geo-badge.svg

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 60/100

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.

agent-skillsai-overviewsai-searchchatgptchinesedeepseekdoubaogenerative-engine-optimizationgeogeo-doctor

Quick Facts

Stars156
Forks92
LanguageJavaScript
CategoryAgent Tool
LicenseMIT
Quality Score60/100
Open Issues6
Last Updated2026-10-21
Created2026-10-14
Platformsclaude-code, node
Est. Tokens~17k

About geo-doctor

🩺 GEO 医生 让豆包、DeepSeek、ChatGPT、Claude 愿意推荐你的产品 国内的豆包、DeepSeek、元宝、千问、文心、Kimi,海外的 ChatGPT、Claude、Perplexity、Gemini、Copilot,中文网站、英文网站都能看。 一句话装进你的 AI 助手。它会查出 AI 推荐了哪些竞品、为什么不是你、推荐别人时读的是哪些网站,再帮你写 AI 愿意引用的内容、发到 AI 会读的地方,最后用推荐率复查有没有涨。 🔍 找到差距AI 推荐了谁、推荐几次、引用了哪些网站,你缺在哪一题,一张表看清 ✍️ 写到被引用按论文验证过的写法:具体数据、注明来源、权威引语,只用你的真实事实 📈 看推荐率涨没涨同一批问题改前改后各问一遍,你和竞品的推荐次数并排对比 免费开源 · 不用服务器 · 一句话安装 · 中英双语 · 已在 WorkBuddy 实测可用 📦...

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How this security grade is produced

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:

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