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Agent Skill · 研究检索

geo-crawlers(地理爬虫)

geo-crawlers 用于处理浏览器自动化、网页检查和页面信息提取,适合在 Codex、Claude、Cursor、Gemini CLI 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

geo-crawlers 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 22,142。

总安装 4,647周安装 188GitHub Stars 6,912下载 1,459核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:geo-crawlers(地理爬虫)
来源仓库:https://github.com/zubair-trabzada/geo-seo-claude
仓库路径:skills/geo-crawlers
安装命令:
npx skills add https://github.com/zubair-trabzada/geo-seo-claude --skill geo-crawlers
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/zubair-trabzada/geo-seo-claude --skill geo-crawlers

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

geo-crawlers 用于处理浏览器自动化、网页检查和页面信息提取。适合让 Agent 打开页面、读取内容或验证前端流程,支持动态交互场景。通过 npx 安装,需结合原始 README 确认调用方式和参数约定。

安装命令:npx skills add https://github.com/zubair-trabzada/geo-seo-claude --skill geo-crawlers 建议评估是否依赖浏览器实例和网络访问,并注意权限与性能开销。

来源仓库内路径:skills/geo-crawlers

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/zubair-trabzada/geo-seo-claude --skill geo-cra…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

geo-crawlers 怎么安装?

在终端执行 npx skills add https://github.com/zubair-trabzada/geo-seo-claude --skill geo-crawlers。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

geo-crawlers 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

geo-crawlers 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

geo-crawlers 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

geo-crawlers 用的人多吗?

公开数据是累计安装 4,647 次,近一周安装 188 次,下载 1,459 次,GitHub 6,912 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

geo-crawlers 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 6,912 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
geo-crawlers

地理爬虫 · 本页

4,6476,912操作浏览器未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

AI Crawler Access Analysis Skill

Purpose

This skill analyzes a website's accessibility to AI crawlers -- the bots that AI companies use to discover, index, and train on web content. If AI crawlers are blocked, the site's content cannot appear in AI-generated responses regardless of its quality. Crawler access is the foundational technical requirement for GEO.

Key Insight

As of early 2026, many websites inadvertently block AI crawlers through overly aggressive robots.txt rules, inherited from legacy SEO configurations. An Originality.ai 2025 study found that over 35% of the top 1,000 websites block at least one major AI crawler, and 5-10% block all AI crawlers. Blocking AI crawlers is the single fastest way to become invisible in AI-generated search results.


Complete AI Crawler Reference

Tier 1: Critical for AI Search Visibility (RECOMMEND: ALLOW)

These crawlers power the AI search products where users actively look for answers. Blocking them directly reduces your visibility in AI-generated responses.

GPTBot
  • Operator: OpenAI
  • User-Agent: GPTBot
  • Full User-Agent String: Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; GPTBot/1.2; +https://openai.com/gptbot)
  • Purpose: Fetches content for ChatGPT's web browsing, plugins, and search features. Content accessed by GPTBot may be used to improve OpenAI models.
  • Impact of Blocking: Content will NOT appear in ChatGPT Search results or be accessible when users ask ChatGPT to browse the web. This is the highest-impact AI crawler to allow.
  • Recommendation: ALLOW -- ChatGPT has 300M+ weekly active users as of 2025. Blocking GPTBot removes your content from one of the largest AI search surfaces.
OAI-SearchBot
  • Operator: OpenAI
  • User-Agent: OAI-SearchBot
  • Full User-Agent String: Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; OAI-SearchBot/1.0; +https://docs.openai.com/bots/overview)
  • Purpose: Specifically powers ChatGPT's search feature. Unlike GPTBot, content accessed by OAI-SearchBot is NOT used for model training -- only for live search results.
  • Impact of Blocking: Content will not appear in ChatGPT's search results even if GPTBot is allowed.
  • Recommendation: ALLOW -- This is a search-only crawler with no training implications. There is no strategic reason to block it.
ChatGPT-User
  • Operator: OpenAI
  • User-Agent: ChatGPT-User
  • Full User-Agent String: Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ChatGPT-User/1.0; +https://openai.com/bot)
  • Purpose: Used when a ChatGPT user explicitly asks the model to visit a specific URL. Acts like a browser agent on behalf of the user.
  • Impact of Blocking: ChatGPT cannot visit your pages when users ask it to read or summarize them. This prevents direct user-initiated traffic.
  • Recommendation: ALLOW -- Blocking this bot prevents users who are actively trying to engage with your content from accessing it through ChatGPT.
ClaudeBot
  • Operator: Anthropic
  • User-Agent: ClaudeBot
  • Full User-Agent String: ClaudeBot/1.0; +https://www.anthropic.com/claude-bot
  • Purpose: Fetches web content for Claude's features including web search, citations, and analysis tools.
  • Impact of Blocking: Content will not be accessible to Claude for web search or when users ask Claude to analyze specific URLs.
  • Recommendation: ALLOW -- Claude is a major AI assistant with growing market share. Blocking ClaudeBot reduces your AI search footprint.
PerplexityBot
  • Operator: Perplexity AI
  • User-Agent: PerplexityBot
  • Full User-Agent String: Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; PerplexityBot/1.0; +https://perplexity.ai/perplexitybot)
  • Purpose: Powers Perplexity's AI search engine, which provides sourced answers with direct citations and links back to source pages.
  • Impact of Blocking: Content will not appear in Perplexity search results. Perplexity is one of the best referral traffic sources among AI search products because it always displays source links.
  • Recommendation: ALLOW -- Perplexity drives actual referral traffic and always attributes sources. High-value AI crawler for publishers and businesses.

Tier 2: Important for Broader AI Ecosystem (RECOMMEND: ALLOW)

These crawlers serve large AI platforms or search ecosystems. Allowing them increases your content's reach.

Google-Extended
  • Operator: Google
  • User-Agent: Google-Extended
  • Purpose: Controls whether Google uses your content for Gemini model training and AI Overviews improvement. CRITICAL NOTE: Blocking Google-Extended does NOT affect your Google Search rankings or your appearance in Google Search results. That is controlled by the standard Googlebot.
  • Impact of Blocking: Content may not be used for Gemini training or to improve AI Overviews. However, your content can still appear in AI Overviews based on standard search indexing.
  • Recommendation: ALLOW -- Blocking provides minimal content protection upside while reducing your presence in Google's AI features. Since it does not affect standard search ranking, the only reason to block is philosophical objection to training data usage.
GoogleOther
  • Operator: Google
  • User-Agent: GoogleOther
  • Purpose: Used by Google for various non-search-ranking purposes including research, one-off crawls, and AI-related data collection.
  • Impact of Blocking: Minimal impact on search rankings. May reduce presence in Google's AI research and experimental features.
  • Recommendation: ALLOW -- Low risk, moderate potential benefit for AI feature inclusion.
Applebot-Extended
  • Operator: Apple
  • User-Agent: Applebot-Extended
  • Purpose: Used by Apple to train and improve Apple Intelligence features, Siri, and Apple's AI products. Separate from standard Applebot (which powers Siri search and Spotlight Suggestions).
  • Impact of Blocking: Content may not be used in Apple Intelligence features. Standard Siri and Spotlight functionality is unaffected (controlled by Applebot).
  • Recommendation: ALLOW -- Apple Intelligence is integrated into all Apple devices (2B+ active devices). Presence in Apple's AI features has growing strategic value.
Amazonbot
  • Operator: Amazon
  • User-Agent: Amazonbot
  • Full User-Agent String: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/600.2.5 (KHTML, like Gecko) Version/8.0.2 Safari/600.2.5 (compatible; Amazonbot/0.1; +https://developer.amazon.com/support/amazonbot)
  • Purpose: Indexes content for Alexa answers and Amazon's AI features.
  • Impact of Blocking: Content will not appear in Alexa voice responses or Amazon's AI-powered search features.
  • Recommendation: ALLOW -- Relevant for voice search optimization. Lower priority than Tier 1 crawlers but no downside to allowing.
FacebookBot
  • Operator: Meta
  • User-Agent: FacebookBot
  • Purpose: Used by Meta for AI features across Facebook, Instagram, WhatsApp, and Meta AI assistant.
  • Impact of Blocking: Content may not be accessible to Meta AI. Link previews on Facebook/Instagram are handled by a different crawler and are unaffected.
  • Recommendation: ALLOW -- Meta AI is embedded in apps with 3B+ combined users. Growing importance for AI visibility.

Tier 3: Training-Only Crawlers (ALLOW or BLOCK Based on Strategy)

These crawlers are primarily used for AI model training rather than live search features. Blocking them does not affect AI search visibility.

CCBot
  • Operator: Common Crawl (nonprofit)
  • User-Agent: CCBot
  • Full User-Agent String: CCBot/2.0 (https://commoncrawl.org/faq/)
  • Purpose: Builds the Common Crawl dataset, which is used as training data by many AI companies (Google, Meta, Stability AI, and others).
  • Impact of Blocking: Content will not appear in future Common Crawl datasets. Does NOT affect any live AI search product.
  • Recommendation: CONTEXT-DEPENDENT -- Allow if you want maximum long-term AI training presence. Block if you want to control training data usage. No impact on search visibility.
anthropic-ai
  • Operator: Anthropic
  • User-Agent: anthropic-ai
  • Purpose: Used by Anthropic for AI safety research and Claude model training. Separate from ClaudeBot (which powers live features).
  • Impact of Blocking: Content will not be used for Claude training. Does NOT affect Claude's live search or web browsing features (controlled by ClaudeBot).
  • Recommendation: CONTEXT-DEPENDENT -- Similar to CCBot. Allow for training presence, block for training data control. No impact on live AI search.
Bytespider
  • Operator: ByteDance
  • User-Agent: Bytespider
  • Purpose: Used by ByteDance for various AI products including TikTok's AI features and Doubao (their ChatGPT competitor in China).
  • Impact of Blocking: Content will not be used for ByteDance AI products. Minimal impact for Western-market businesses.
  • Recommendation: BLOCK for most Western businesses (aggressive crawling behavior reported, minimal search visibility benefit). ALLOW if targeting Chinese/Asian markets.
cohere-ai
  • Operator: Cohere
  • User-Agent: cohere-ai
  • Purpose: Used by Cohere for model training. Cohere powers enterprise AI solutions and the Coral chat product.
  • Impact of Blocking: Content will not be used for Cohere model training. Minimal direct consumer-facing impact.
  • Recommendation: CONTEXT-DEPENDENT -- Low priority. Allow or block based on general training data stance.

Recommendation Matrix Summary

CrawlerTierRecommendationReason
GPTBot1ALLOWPowers ChatGPT Search (300M+ users)
OAI-SearchBot1ALLOWSearch-only, no training use
ChatGPT-User1ALLOWUser-initiated browsing
ClaudeBot1ALLOWClaude web search and analysis
PerplexityBot1ALLOWBest referral traffic AI search
Google-Extended2ALLOWGemini features; no search rank impact
GoogleOther2ALLOWGoogle AI research
Applebot-Extended2ALLOWApple Intelligence (2B+ devices)
Amazonbot2ALLOWAlexa and Amazon AI
FacebookBot2ALLOWMeta AI (3B+ app users)
CCBot3ContextTraining data only
anthropic-ai3ContextTraining data only
Bytespider3BLOCKAggressive crawler, low benefit
cohere-ai3ContextTraining data only

Maximum AI Visibility Configuration (robots.txt)

For sites wanting maximum AI search visibility:

# AI Crawlers - ALLOWED for AI search visibility
User-agent: GPTBot
Allow: /

User-agent: OAI-SearchBot
Allow: /

User-agent: ChatGPT-User
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: anthropic-ai
Allow: /

User-agent: PerplexityBot
Allow: /

User-agent: Google-Extended
Allow: /

User-agent: GoogleOther
Allow: /

User-agent: Applebot-Extended
Allow: /

User-agent: Amazonbot
Allow: /

User-agent: FacebookBot
Allow: /

# AI Crawlers - BLOCKED (aggressive/low value)
User-agent: Bytespider
Disallow: /

User-agent: CCBot
Disallow: /

Analysis Procedure

Step 1: Fetch and Parse robots.txt

  1. Use WebFetch to retrieve [domain]/robots.txt.
  2. Parse all User-agent directives and their associated Allow/Disallow rules.
  3. For each AI crawler in the reference list above:

- Check if there is a specific User-agent block for that crawler - Check if there is a wildcard (User-agent: *) block that would apply - Determine effective access: Allowed, Blocked, or Not Mentioned (inherits wildcard rules)

  1. Note any Crawl-delay directives that may slow AI crawler access.
  2. Check for Sitemap directives (AI crawlers use these for discovery).

Step 2: Check Meta Robots Tags

  1. For a sample of 5-10 key pages, fetch the HTML and check for:

- <meta name="robots" content="noindex"> -- blocks all bots - <meta name="robots" content="nofollow"> -- prevents link following - <meta name="robots" content="noai"> -- emerging tag to block AI use - <meta name="robots" content="noimageai"> -- blocks AI image training - Bot-specific meta tags: <meta name="GPTBot" content="noindex">

  1. Record any page-level overrides of the robots.txt directives.

Step 3: Check HTTP Headers

  1. For the same sample pages, check response headers for:

- X-Robots-Tag: noindex -- HTTP header equivalent of meta noindex - X-Robots-Tag: noai -- HTTP header to block AI use - X-Robots-Tag: noimageai -- blocks AI image training - Bot-specific headers: X-Robots-Tag: GPTBot: noindex

  1. Note that HTTP headers override meta tags and apply to non-HTML resources too.

Step 4: Check for AI-Specific Files

  1. Check for /llms.txt (emerging standard for AI crawler guidance).
  2. Check for /.well-known/ai-plugin.json (OpenAI plugin manifest).
  3. Check for /ai.txt (proposed standard, similar to ads.txt for AI).
  4. Record presence/absence and quality of each file.

Step 5: Assess JavaScript Rendering Requirements

  1. Check if the site is a Single Page Application (SPA) or heavily JavaScript-rendered.
  2. AI crawlers vary in their JavaScript rendering capabilities:

- GPTBot: Limited JS rendering - ClaudeBot: Limited JS rendering - PerplexityBot: Limited JS rendering - Googlebot: Full JS rendering (but Google-Extended inherits this)

  1. If critical content requires JS rendering, flag this as a potential issue.
  2. Check for Server-Side Rendering (SSR) or Static Site Generation (SSG) as mitigations.

Step 6: Parse Content Signals

Using the already-fetched robots.txt from Step 1, scan for Content-Signal: directives (IETF draft draft-romm-aipref-contentsignals).

  1. Scan every line for a line starting with Content-Signal: (case-insensitive).
  2. If found:

- Parse all key=value pairs (split on , then on =). - Validate keys against the known set: ai-train, search, ai-personalization, ai-retrieval. - Validate values: only yes and no are valid. - Flag any unknown keys or invalid values as a warning — the spec is still an IETF draft. - Record the result as Pass and surface parsed values with plain-English meaning.

  1. If absent: record as Recommendation — the site has not declared AI usage preferences.

No additional HTTP request is needed. robots.txt is already fetched in Step 1.


Output Format

Generate a file called GEO-CRAWLER-ACCESS.md:

# AI Crawler Access Report: [Domain]

**Analysis Date:** [Date]
**Domain:** [Domain]
**robots.txt Status:** [Found/Not Found/Error]

---

## Crawler Access Summary

| Crawler | Operator | Tier | Status | Impact |
|---|---|---|---|---|
| GPTBot | OpenAI | 1 | [Allowed/Blocked/Not Mentioned] | [Impact description] |
| OAI-SearchBot | OpenAI | 1 | [Status] | [Impact] |
| ChatGPT-User | OpenAI | 1 | [Status] | [Impact] |
| ClaudeBot | Anthropic | 1 | [Status] | [Impact] |
| PerplexityBot | Perplexity | 1 | [Status] | [Impact] |
| Google-Extended | Google | 2 | [Status] | [Impact] |
| GoogleOther | Google | 2 | [Status] | [Impact] |
| Applebot-Extended | Apple | 2 | [Status] | [Impact] |
| Amazonbot | Amazon | 2 | [Status] | [Impact] |
| FacebookBot | Meta | 2 | [Status] | [Impact] |
| CCBot | Common Crawl | 3 | [Status] | [Impact] |
| anthropic-ai | Anthropic | 3 | [Status] | [Impact] |
| Bytespider | ByteDance | 3 | [Status] | [Impact] |
| cohere-ai | Cohere | 3 | [Status] | [Impact] |

## AI Visibility Score: [X]/100

**Tier 1 Access:** [X/5 crawlers allowed]
**Tier 2 Access:** [X/5 crawlers allowed]
**Tier 3 Access:** [X/4 crawlers allowed]

---

## Critical Issues

[List any Tier 1 crawlers that are blocked]

## Recommendations

### Immediate Actions
[Specific robots.txt changes needed]

### robots.txt Recommendation

[Complete recommended robots.txt content for AI crawlers]

### Additional Technical Findings
- **Meta Robots Tags:** [Findings]
- **X-Robots-Tag Headers:** [Findings]
- **JavaScript Rendering:** [Assessment]
- **llms.txt:** [Present/Absent]
- **Sitemap Accessibility:** [Assessment]

### Content Signals (IETF Draft)

**Status:** Present / Absent

<!-- If present: -->
| Signal Key | Value | Meaning |
|---|---|---|
| ai-train | no | Opted out of AI model training |
| search | yes | Permits use in AI-powered search results |

<!-- If absent: -->
**Recommendation:** Add a `Content-Signal:` directive to robots.txt to declare AI usage preferences explicitly. Example:

`Content-Signal: ai-train=no, search=yes, ai-retrieval=yes`

See https://contentsignals.org/ for the full specification.

Scoring for Crawler Access

The AI Crawler Access Score is calculated as:

ComponentWeightScoring
Tier 1 Crawlers Allowed50%20 points per Tier 1 crawler allowed (5 crawlers = 100 points max, scaled to 50)
Tier 2 Crawlers Allowed25%20 points per Tier 2 crawler allowed (5 crawlers = 100 points max, scaled to 25)
No Blanket AI Blocks15%Full points if no User-agent: * Disallow: / and no noai meta tags
AI-Specific Files Present10%5 points for llms.txt, 5 points for sitemap accessible to AI crawlers

Final score = sum of all weighted components, capped at 100.

平台分布

Codex

33.75%
按下载量换算492

Claude

30.72%
按下载量换算448

Cursor

17.11%
按下载量换算250

Gemini CLI

9.79%
按下载量换算143

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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