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AI crawler access audit for a website v1.0.0

Use this resource to audit AI crawler access to your website

New

  • 435 downloads
  • 235 likes
  • 144 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ai-crawler-access-audit

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent fetches and reviews a site's robots.txt, meta robots tags, HTTP headers and AI-specific files. You get a report that separates training access from search and AI answer access.

Mostly picked by

Updated November 2, 2026

Card for the “AI crawler access audit for a website” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: six-step procedure (robots.txt, meta tags, headers, AI files)
  • SKILL.md: verified AI crawler table and report format

Good fit for

  • You want to know which AI crawlers can reach your site
  • You must weigh AI answer visibility against model training opt-outs

Not for

    Tags

    • ai crawlers
    • geo
    • robots.txt
    • seo
    • access

    About

    You say

    “Check AI crawler access to my site example.com and tell me what blocks visibility.”

    Card for the “AI crawler access audit for a website” skill

    Skill published by sickn33 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to audit AI crawler access to your website
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md11.5 KB

    Origin and licence

    Listed unmodified

    Author
    sickn33
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/geo-crawlers
    Licence
    MIT

    Notice

    « geo-crawlers » (sickn33, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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