seo-audit

seo-audit is a skill for Claude Code from anthropics/knowledge-work-plugins. It costs 61 tokens per session (1,970 once invoked), scanned A, original, Apache-2.0.

A website SEO audit tool that checks search keywords, page content, technical issues, content gaps, and competitor performance.

In plain words
What is it for?
Use it for full site audits, keyword research, content-gap analysis, technical SEO checks, and competitor SEO comparisons.
Why use it?
It brings different parts of search visibility into one review and organizes the resulting work into prioritized actions.

Skill for Claude Code ✓ vendor

Written for Claude Code: argument-hint in frontmatter.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../../CONNECTORS.md)..

Part of the marketing plugin — 8 skills shipped together

Good fit Use it for full site audits, keyword research, content-gap analysis, technical SEO checks, and competitor SEO comparisons.

Compare 6 skills from other repositories ↓
About the project

Knowledge Work Plugins is an open-source collection of Claude extensions organized around roles such as productivity, sales, and customer support. Each plugin combines role-specific guidance, connectors, commands, and sub-agents so knowledge workers can use Claude with their team’s tools and processes. The catalogue entries are examples of, or workflows from, this plugin collection.

anthropics/knowledge-work-plugins · 33,434 stars · on GitHub

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/anthropics/knowledge-work-plugins
agentmods
npx agentmods add skills/anthropics/knowledge-work-plugins/seo-audit

Made for: Claude Code.

Or install marketing, the plugin that ships this one along with the rest of its 8 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for seo-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/seo-audit/github.svg)](https://agentmods.dev/skills/anthropics/knowledge-work-plugins/seo-audit)
Your own site
<a href="https://agentmods.dev/skills/anthropics/knowledge-work-plugins/seo-audit"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/seo-audit/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for seo-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/anthropics/knowledge-work-plugins/seo-audit"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/seo-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,970 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 14 Sept 2026
  • Snyk warn 14 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00061 $0.01970
Opus 5.5 $0.00024 $0.00788
Sonnet 5.5 $0.00012 $0.00394
Haiku 4.5 $0.00006 $0.00197

Measured 1mo ago against content hash 25008ccdda6f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

seo-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

marketing/skills/seo-audit/SKILL.md · 191 lines

How it starts

The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/seo-audit

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Audit a website's SEO health, research keyword opportunities, identify content gaps, and benchmark against competitors. Produces a prioritized action plan a marketer can execute immediately.

Trigger

User runs /seo-audit or asks for an SEO audit, keyword research, content gap analysis, technical SEO check, or competitor SEO comparison.

Inputs

Gather the following from the user. If not provided, ask before proceeding:

  1. URL or domain — the site to audit, or a topic/keyword if running in keyword research mode

  2. Audit type — one of:

    • Full site audit — end-to-end SEO review covering all sections below
    • Keyword research — identify keyword opportunities for a topic or domain
    • Content gap analysis — find topics competitors rank for that you don't
    • Technical SEO check — crawlability, speed, structured data, and infrastructure issues
    • Competitor SEO comparison — head-to-head SEO benchmarking against specific competitors

    If not specified, default to full site audit.

  3. Target keywords or topics (optional) — specific keywords the user is already targeting or wants to rank for

  4. Competitors (optional) — domains or companies to compare against. If not provided and the audit type requires competitor data, use web search to identify 2-3 likely competitors based on the user's domain and keyword space.

Process

1. Keyword Research

Research keywords related to the user's domain, topic, or target keywords.

If ~~SEO tools are connected:

  • Pull keyword data, search volume, keyword difficulty scores, and ranking positions automatically
  • Identify keywords the site currently ranks for and where it's gaining or losing ground

If ~~product analytics are connected:

  • Cross-reference keyword targets with actual organic traffic data to validate which keywords are driving visits and conversions

Read the full file on GitHub · 191 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 191 lines · 61 tokens per session scan A 25008ccdda6f

Subscribe to this mod's changes

seo-audit is a skill published in the GitHub repository anthropics/knowledge-work-plugins (33,434 stars, last pushed today), licensed Apache-2.0. It adds 61 tokens to every session and 1,970 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens