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llms-txt-checker

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Audits any domain's AI-readiness by using curl to directly probe robots.txt, llms.txt, and llms-full.txt, then scores each file against a structured checklist and delivers a formatted report with pass/warn/fail findings and actionable fixes. Use this skill whenever a user provides a domain or URL and wants to know if llms.txt or llms-full.txt is available, discoverable, or properly structured. Trigger on phrases like "check llms.txt for", "does this site have llms.txt", "find llms.txt", "check llms for this url", "audit llms.txt", "is llms-full.txt available", or any time a user shares a domain/docs URL and wants AI-readiness checked. Also trigger when the user wants to verify GEO/AEO readiness of a documentation site.

skills/llms-txt-checker/SKILL.md

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Nov 6, 2026

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Repository last updated
Jun 28, 2026
License
MIT

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# LLMs.txt Checker Skill

Audits any domain's AI-readiness by using `curl` to directly probe `robots.txt`, `llms.txt`, and `llms-full.txt`, then scores each file against a structured checklist and delivers a formatted report with pass/warn/fail findings and actionable fixes.

The user provides **only a domain** (e.g. `anthropic.com` or `docs.example.com`). Claude uses `bash_tool` with `curl` commands to directly probe the domain — no guessing, no page-scraping required.

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## How it works

Instead of relying on web_fetch and hoping links surface organically, this skill uses **curl via bash_tool** to directly request the well-known paths for `robots.txt`, `llms.txt`, and `llms-full.txt`. This is reliable, fast, and works regardless of how the site is built.

The curl commands follow HTTP redirects, capture response codes, and save content to temp files for auditing.
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