Docs Auditor

What it does

When your agent uses it

• A user provides a docs URL and asks to audit it
• Check its quality
• Evaluate it for AI discoverability
• The user says run a docs audit

Example prompts

• “run a docs audit”
• “audit these docs”
• “check this documentation”
• “/docs-auditor”

Requirements

• Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

1. 1Run All 33 Checks
2. 2Score Calculation
3. 3Render the Report
4. 4After the Report

What it can do on your machine

Read from SKILL.md and the folder at commit 02cfefb. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • pip

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Docs Auditor loads about 3k tokens when it runs, and up to ~6.8k if it reads all its reference files. Until then it costs about 162 tokens; SKILL.md has 1,499 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~162

When it runs · the whole SKILL.md, loaded when a task matches

~3k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~6.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Infrasity-Labs/dev-gtm-claude-skills at commit 02cfefb, republished under its MIT licence (© Infrasity-Labs). 1,499 words, ~3,009 tokens.

name

docs-auditor

description

Audits any developer documentation site across 33 checks in 7 categories and produces a scored report (out of 100) with Pass / Warn / Fail status per check. Use this skill whenever a user provides a docs URL and asks to audit it, review it, score it, check its quality, or evaluate it for AI discoverability, SEO, structure, content, or completeness. Also trigger when the user says "run a docs audit", "audit these docs", "check this documentation", "how good are the docs for X", or pastes a docs URL with any evaluative intent. Always use this skill — do not attempt a freeform docs review without following this structured workflow.

docs.example.com/llms.txt docs.example.com/robots.txt docs.example.com/sitemap.xml example.com/llms.txt example.com/robots.txt example.com/sitemap.xml

{base}/robots.txt
{base}/sitemap.xml
{base}/llms.txt
{base}/llms-full.txt

https://{root-domain}/robots.txt
https://{root-domain}/llms.txt
https://{root-domain}/llms-full.txt
https://{root-domain}/sitemap.xml

{base}/                          ← landing / intro page
{base}/quickstart  (or /getting-started, /get-started)
{base}/changelog   (or /releases, /release-notes)
{base}/api         (or /api-reference, /reference)
{base}/faq         (or /troubleshooting, /help)
{base}/[one use-case or tutorial page]
{base}/[one deep settings or config page]

© Infrasity-Labs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references) in skills/docs-auditor of Infrasity-Labs/dev-gtm-claude-skills.

• SKILL.md
• README.md
• references/fetch-strategy.md
• references/scoring.md
• references/widget-template.md
• tests/test-cases.json

Open the folder on GitHubat commit 02cfefb