open-seo: Skill for Claude Code

.agents/skills/seo-audit/SKILL.md

seo-audit is a skill for Claude Code, Codex from every-app/open-seo. It costs 34 tokens per session (3,319 once invoked), scanned A, original, MIT.

A website SEO audit that produces a one-page report in plain language. SEO means improving how a site appears in search engines such as Google.

In plain words
What is it for?
Use it to review a domain, identify the most important search-related issue, and create a practical report based on the site's business and project context.
Why use it?
It turns a broad website review into one clear action the site owner can take this week. It also explains findings for people who do not work in SEO.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is every-app/open-seo's own configuration. It tells Claude Code and Codex how to work on open-seo itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything open-seo configures →

About the project

OpenSEO is an open-source SEO platform for keyword research, rank tracking, competitor analysis, backlink analysis, site audits, and AI visibility work. It connects SEO data to AI agents through an MCP server and reusable agent skills, while allowing users to supply their own DataForSEO API key and self-host the tool. Catalogue add-ons guide agents through OpenSEO's SEO workflows.

every-app/open-seo · 25,345 stars · on GitHub · openseo.so

Reuse

Borrowing it

Nothing to install: this file belongs to every-app/open-seo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/every-app/open-seo/main/.agents/skills/seo-audit/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/every-app/open-seo

Made for: Claude Code, Codex.

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/every-app/open-seo/seo-audit/github.svg)](https://agentmods.dev/skills/every-app/open-seo/seo-audit)
Your own site
<a href="https://agentmods.dev/skills/every-app/open-seo/seo-audit"><img src="https://agentmods.dev/badge/skills/every-app/open-seo/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/every-app/open-seo/seo-audit"><img src="https://agentmods.dev/badge/skills/every-app/open-seo/seo-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,319 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 20 Sept 2026
  • Snyk warn 20 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 $0.00034 $0.03319
Opus 5.5 $0.00014 $0.01328
Sonnet 5.5 $0.00007 $0.00664
Haiku 4.5 $0.00003 $0.00332

Measured 1mo ago against content hash 39e2ae3cc8de, 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

1 near-identical copy found in the catalogue:

  • seo-audit — 88% identical, 157 lines differ
.agents/skills/seo-audit/SKILL.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OpenSEO SEO Audit

Goal

Find the work that would most improve a site's useful organic traffic, then explain it so a non-expert can act on it. Research broadly; recommend selectively. The report leads with one to three recommendations that either capture meaningfully more qualified search demand or stop a real loss.

Use this when asked for an SEO audit or review of a domain, especially for a shareable report. For expert-facing analysis of a competitor or market, use competitor-analysis or competitive-landscape instead.

Inputs and project context

  • Domain to audit and projectId (list_projects; if no project matches, create_project).
  • Call get_project_context first. This skill needs business_overview. If it is empty, infer what the business does from the site, confirm it with the user in one question, write it back with update_project_context, and continue. Suggest seo-project-setup at the end for the rest; never front-load the full interview.
  • Reuse research-log results under 30 days old for discovery. A ranking claim that drives a recommendation still needs a live check made during this audit.
  • On finish, write back what is durable with update_project_context (a corrected business_overview, the pages the report names via addKeyPages) and append { appendResearchLog: { summary: "Site audit: <domain>. Verdict: <conclusion>" } }.

Deliver through the seo-report skill, saving with skill: "seo-audit". If that skill is unavailable, say so and stop before writing HTML.

OpenSEO MCP tools

  • whoami: confirm the connection and credits before spending. If OpenSEO is not connected, stop and ask the user to connect it.
  • run_site_audit, then get_audit_status (wait a minute or two between checks), get_audit_issues, get_audit_pages. Leave Lighthouse off unless the user asked for performance depth. Crawl reads are free.
  • get_backlinks_overview and get_domain_overview: orientation only. Provider traffic and keyword counts are estimates with no single observation date; they are not measured visits.
  • get_ranked_keywords: which queries send which pages traffic. Start with one domain-level call with resultTypes: ["organic"]; use scope: "exact_url" for the specific pages you compare. A page missing from a limited domain sample is not proof it has no rankings. Ranking rows carry their own last_updated_time; keyword metric dates are not ranking dates.
  • get_serp_results: the live check behind every ranking claim in the report. The returned rank counts every result block, so count organic (unpaid) listings yourself and report the spot with its page, ten spots per page: "#10 (page 1)", "#11 (page 2)". Request depth 20; a page not seen is "not in the first 20 results". Record the exact query, country, language, date, how many organic listings came back, and the matching URL; those details go in the evidence appendix, not the tables. A failed lookup is unknown, not "not in the first 20 results".
  • get_search_console_performance: when connected, first-party clicks and impressions separate low visibility from low click-through. Missing access is a coverage gap, not a blocker.
  • get_keyword_metrics and research_keywords: demand for the queries a candidate page targets. One focused metrics batch usually suffices; one research call with 1–3 seeds when a demand gap could change the decision.
  • Web reading (fetch, scrape, or search): the site's own pages, sitemap, the leading results for a query, and competitor pages.

Read the full file on GitHub · 141 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 Changed · +56 lines · +3 tokens per session 39e2ae3cc8de
  2. 1mo ago Changed · +12 lines 976769fe3ac4
  3. 1mo ago First seen · 73 lines · 31 tokens per session scan A 66c406d371ad

Subscribe to this mod's changes

seo-audit is a skill published in the GitHub repository every-app/open-seo (25,345 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 3,319 once invoked, about $0.0001 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 2026-08-30.

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