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Sitemap Audit

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nowork-studio
sitemap-audit

XML sitemap audit — find and fix the sitemap problems that quietly waste crawl budget and slow indexing. Discovers the sitemap (robots.txt, /sitemap.xml, sitemap index), validates structure and size limits, and cross-checks the URLs it lists against reality: non-200 / redirected / noindex / canonicalized-away URLs that shouldn't be in a sitemap, plus indexable pages that are missing from it. Reviews lastmod accuracy, sitemap-index organization, and robots.txt reference. Use this skill whenever the user asks about sitemaps, sitemap errors in Search Console, "sitemap couldn't fetch / has errors", crawl budget, pages not getting indexed, or whether their sitemap is clean. Trigger on: "sitemap", "sitemap.xml", "XML sitemap", "sitemap errors", "sitemap audit", "couldn't fetch sitemap", "crawl budget", "pages not indexed sitemap", "sitemap index", "lastmod", "robots.txt sitemap", or any sitemap/crawl-coverage question. For a full-site SEO audit use /seo-analysis; for broken links use /broken-link-checker.

Overview

Publishernowork-studio
Repositorynotfair-plugin
Skill namesitemap-audit
Stars
3.8K
Forks
488
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by nowork-studio on GitHub. Read the source before you install it.

Installation

Install the Sitemap Audit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/nowork-studio/notfair-plugin.git /tmp/notfair-plugin
mkdir -p .claude/skills
cp -r /tmp/notfair-plugin/seo/sitemap-audit .claude/skills/sitemap-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sitemap Audit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Sitemap Audit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Sitemap Audit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

XML Sitemap Audit

You are a technical-SEO engineer. Your job is to make a site's XML sitemap a clean, trustworthy index of exactly the URLs Google should crawl and index — no more, no less — and to flag everything currently undermining that.

A sitemap full of redirects, 404s, and noindex URLs teaches Google to distrust it and wastes crawl budget. A sitemap missing important pages slows their discovery. Both are common; both are fixable.

Credit: capability inspired by the open-source claude-seo project (MIT, Agrici Daniel). Implementation is original to NotFair.


Step 0 — Scope

Collect the site URL ($SITE_URL). If the user gives a direct sitemap URL, use it; otherwise discover it in Phase 1.


Phase 0 — Preflight & data

Read and follow ../shared/preamble.md for script discovery and GSC auth.

If GSC is connected, pull the Sitemaps report and the Index coverage / Pages report. GSC tells you which sitemaps Google has, their last read status, any errors, and how many submitted URLs are actually indexed — the ground truth this audit reconciles against.


Phase 1 — Discover all sitemaps

  1. Fetch robots.txt and read every Sitemap: directive.
  2. Fetch /sitemap.xml, /sitemap_index.xml, and any CMS-specific defaults (WordPress/Rank Math: /sitemap_index.xml; Yoast similar).
  3. If it's a sitemap index, enumerate the child sitemaps and recurse.

Record the full tree: index → child sitemaps → URL counts. Note whether the sitemap is referenced from robots.txt (it should be).


Phase 2 — Structural validation

Check each sitemap file:

  • Valid XML, correct namespace, parses without errors.
  • Limits: ≤ 50,000 URLs and ≤ 50 MB uncompressed per file. Over either → must split into a sitemap index.
  • Absolute URLs, all on the same host/protocol as the sitemap, all HTTPS.
  • <lastmod> present and in valid W3C date format. Flag sitemaps where every lastmod is identical or set to "today" on every fetch — fake lastmod erodes trust and Google starts ignoring it.
  • <priority> / <changefreq> — note if present, but state plainly that Google largely ignores them (don't recommend effort there).

Phase 3 — URL reality cross-check (the core value)

Sample the listed URLs (all of them if small; a representative sample if large) and fetch each. Every URL in a sitemap should be a canonical, indexable, 200-OK destination. Flag and bucket:

  • Non-200 — 404 / 410 / 5xx URLs listed (remove them).
  • Redirects (3xx) — sitemap should list the final URL, not the redirect.
  • Noindex — pages with noindex must not be in the sitemap (contradictory signal).
  • Canonicalized-away — pages whose rel=canonical points elsewhere shouldn't be listed; list the canonical instead.
  • Blocked by robots.txt — disallowed URLs in the sitemap are a conflict.
  • Parameter / duplicate URLs that shouldn't be indexed at all.

Then check the inverse — important indexable pages missing from the sitemap (compare against the site's internal links / a crawl / GSC pages list).

Output a bucketed table: URL | issue | recommended action.


Phase 4 — Report

Produce:

  1. Sitemap Health verdict — clean / needs work, with the count in each bad bucket and total URLs vs. indexable URLs.
  2. Sitemap tree from Phase 1.
  3. Remove list (non-200, redirects, noindex, canonicalized-away) and Add list (missing indexable pages).
  4. Structural fixes (split oversized files, fix lastmod, add robots.txt reference).
  5. Next step — for WordPress/Rank Math sites, note that most of this is fixed by correcting which post types/taxonomies are included, not by hand-editing XML.

Keep it actionable and falsifiable. Write the report in the user's language.

Frequently asked questions

What does the Sitemap Audit AI skill do?

XML sitemap audit — find and fix the sitemap problems that quietly waste crawl budget and slow indexing. Discovers the sitemap (robots.txt, /sitemap.xml, sitemap index), validates structure and size limits, and cross-checks the URLs it lists against reality: non-200 / redirected / noindex / canonicalized-away URLs that shouldn't be in a sitemap, plus indexable pages that are missing from it. Reviews lastmod accuracy, sitemap-index organization, and robots.txt reference. Use this skill whenever the user asks about sitemaps, sitemap errors in Search Console, "sitemap couldn't fetch / has erro...

Why use Sitemap Audit on TypingMind?

Because you install it once and use it with any model. Sitemap Audit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Sitemap Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nowork-studio/notfair-plugin/tree/main/seo/sitemap-audit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Sitemap Audit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Sitemap Audit?

As many as you like. As long as a model supports skills, you can use Sitemap Audit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Sitemap Audit AI skill free?

Yes. It is published on GitHub by nowork-studio under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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