seo-auditor

seo-auditor is a command for Claude Code from alirezarezvani/claude-skills. It costs 19 tokens per session (750 once invoked), scanned A, original, MIT.

A command that checks documentation for search-engine metadata, readability, keywords, links, and sitemap-related issues. SEO means improving how pages can be found and understood by search engines.

In plain words
What is it for?
Use it to scan documentation or a README, review titles and descriptions, find broken links, and run the command in report-only mode when you do not want edits.
Why use it?
It identifies common documentation problems and can automatically fix some non-destructive issues while preserving page content and URLs.

Command for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 marketing-skill/skills/seo-audit/scripts/seo_checker.py --file site/{path}/index.html.

Good fit Use it to scan documentation or a README, review titles and descriptions, find broken links, and run the command in report-only mode when you do not want edits.

Compare 6 commands from other repositories ↓
About the project

claude-skills is a large collection of reusable skills, commands, plugins, and supporting resources for coding agents across engineering, business, research, compliance, and productivity work. It is used by people who want agents such as Claude Code, Codex, Gemini CLI, or Cursor to follow specialized workflows. The catalogue contains selected skills and settings from the collection.

alirezarezvani/claude-skills · 25,742 stars · on GitHub · alirezarezvani.medium.com

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/alirezarezvani/claude-skills
agentmods
npx agentmods add commands/alirezarezvani/claude-skills/seo-auditor

Made for: Claude Code.

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-auditor

README.md
[![agentmods](https://agentmods.dev/badge/commands/alirezarezvani/claude-skills/seo-auditor/github.svg)](https://agentmods.dev/commands/alirezarezvani/claude-skills/seo-auditor)
Your own site
<a href="https://agentmods.dev/commands/alirezarezvani/claude-skills/seo-auditor"><img src="https://agentmods.dev/badge/commands/alirezarezvani/claude-skills/seo-auditor/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-auditor

Your own site · 80×15
<a href="https://agentmods.dev/commands/alirezarezvani/claude-skills/seo-auditor"><img src="https://agentmods.dev/badge/commands/alirezarezvani/claude-skills/seo-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 750 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.
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 $0.00019 $0.00750
Opus 5 $0.00010 $0.00375
Sonnet 5 $0.00004 $0.00150
Haiku 4.5 $0.00002 $0.00075

Measured 10d ago against content hash 8ca1c96d3207, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

seo-auditor 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 10d 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

1 near-identical copy found in the catalogue:

.claude/commands/seo-auditor.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Run the SEO auditor on documentation files. Target path: $ARGUMENTS (default: all docs/ and root README.md).

If $ARGUMENTS is --report-only, scan without making changes.

Execute all 7 phases. Auto-fix non-destructive issues. Never change URLs. Preserve content on high-ranking pages.

Phase 1: Discovery

Find all target markdown files:

  • docs/**/*.md — all documentation pages
  • README.md files in domain root directories
  • If $ARGUMENTS specifies a path, scope to that path only

For each file, extract current state: title: frontmatter, description: frontmatter, H1, H2s, word count, link count. Store as baseline for the report.

Identify recently changed files: git log --oneline -2 --name-only -- docs/ README.md

Phase 2: Meta Tags

For each file with YAML frontmatter:

Title (title: field):

  • Must be 50-60 characters
  • Must contain a primary keyword
  • Must be unique across all pages
  • Auto-fix generic titles using domain context

Description (description: field):

  • Must be 120-160 characters
  • Must contain primary keyword
  • Must be unique — no duplicates
  • Auto-fix from SKILL.md frontmatter or first paragraph

Run SEO checker on built HTML pages:

python3 marketing-skill/skills/seo-audit/scripts/seo_checker.py --file site/{path}/index.html

Phase 3: Content Quality

Heading structure: One H1 per page, no skipped levels, keywords in headings.

Readability: Run content scorer:

python3 marketing-skill/skills/content-production/scripts/content_scorer.py {file}

Target: readability ≥ 70, structure ≥ 60.

AI detection (on non-generated files only):

python3 marketing-skill/skills/content-humanizer/scripts/humanizer_scorer.py {file}

Flag pages < 50. Fix AI clichés: "delve", "leverage", "it's important to note", "comprehensive".

Do NOT rewrite pages ranking well — only fix critical issues on those.

Phase 4: Keywords

Check each page has its primary keyword in: title, description, H1, first paragraph, at least one H2.

Read the full file on GitHub · 98 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. 10d ago First seen · 98 lines · 19 tokens per session scan A 8ca1c96d3207

Subscribe to this mod's changes

seo-auditor is a command published in the GitHub repository alirezarezvani/claude-skills (25,742 stars, last pushed 10d ago), licensed MIT. It adds 19 tokens to every session and 750 once invoked, about $0.0001 per session on Opus 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 2026-08-30.