seo-project-setup

seo-project-setup is a skill for Claude Code, Codex from every-app/open-seo. It costs 36 tokens per session (2,068 once invoked), scanned A, original, MIT.

A setup workflow that records the shared context for one SEO project, including its website, goals, positioning, competitors, important pages, and writing preferences. SEO means improving a website's visibility in search engines.

In plain words
What is it for?
Collecting project details, adding competitors and key pages, saving preferences, checking existing context, and taking in Search Console information.
Why use it?
It prevents repeated interviews and gives later SEO workflows the business context needed to produce relevant work.

Skill for Claude CodeCodex

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

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 · 17,305 stars · on GitHub · openseo.so

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/every-app/open-seo/seo-project-setup
Any agent
npx skills add every-app/open-seo --skill seo-project-setup
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-project-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/every-app/open-seo/seo-project-setup.svg)](https://agentmods.dev/skills/every-app/open-seo/seo-project-setup)
Your own site
<a href="https://agentmods.dev/skills/every-app/open-seo/seo-project-setup"><img src="https://agentmods.dev/badge/skills/every-app/open-seo/seo-project-setup.svg" alt="Measured on agentmods" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,068 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00036 $0.02068
Opus 5 $0.00018 $0.01034
Sonnet 5 $0.00007 $0.00414
Haiku 4.5 $0.00004 $0.00207

Measured 6d ago against content hash 3dd3e0dc904b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

seo-project-setup 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 6d 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.

.agents/skills/seo-project-setup/SKILL.md · 196 lines

How it starts

The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OpenSEO SEO Project Setup

Goal

Interview the user once about one website or SEO project, and store the answers in that project's shared context in OpenSEO with update_project_context. That context is read by every other skill, by SAM in the app, and by the user on the project's Context settings page — so it survives new sessions, new machines, and new agents. This is a context setup workflow, not a full audit.

Tone

Be friendly, practical, and structured. Ask questions in small batches. Explain why each item matters only when useful. Do not overwhelm a beginner with jargon.

Where the answers go

Two project-context MCP tools do all the writing. Both are free — they spend no credits.

  • get_project_context(projectId): everything already known about the project, plus a missingSections list.
  • update_project_context(projectId, updates): a list of patch ops. The ones this skill uses:
    • { section: "business_overview" | "current_goal" | "positioning" | "writing_preferences", content }
    • { addCompetitors: [{ domain, name?, notes? }] }
    • { addKeyPages: [{ url, role: "hub" | "spoke" | "money" | "other", topic?, notes? }] }
    • { customSection: "<slug>", title?, content } for anything that does not fit a typed section
    • { appendResearchLog: { summary } } when this session spends credits

Write in batches as the interview progresses — do not hold every answer until the end. Sections are prose (~4,000 characters each), so a few tight paragraphs, not a transcript.

Checklist

1. Verify OpenSEO MCP and resolve the project

Writes need a projectId, so do this first:

  1. Use whoami if available.
  2. Use list_projects to confirm the user can access projects.
  3. Match the project to the website/domain they want to rank for.
  4. If the project list is ambiguous, ask the user which project should be used.
  5. If no project matches, offer to create one with create_project.
  6. If the MCP is unavailable, tell the user to connect OpenSEO MCP; without it, nothing can be saved.

Read the full file on GitHub · 196 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. 6d ago First seen · 196 lines · 36 tokens per session scan A 3dd3e0dc904b

Subscribe to this mod's changes

seo-project-setup is a skill published in the GitHub repository every-app/open-seo (17,305 stars, last pushed 2d ago), licensed MIT. It adds 36 tokens to every session and 2,068 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

setup-svelte-vitals

Set up svelte-vitals in a SvelteKit project: inspect what the project already uses, derive a svelte-vitals.config from its markuplint / eslint-plugin-check-file config and its actual directory conventions, measure each candidate rule before adopting it, and hand the remaining targets to svelte-vitals install. Use when…

oekazuma/svelte-vitals · 109 tokens

improve-svelte

Survey a whole SvelteKit codebase as a senior Svelte/SvelteKit engineer, using svelte-vitals' scan as evidence, then produce a prioritized audit and self-contained implementation plans for other agents (or cheaper models) to execute. Read-only on source code — it plans improvements, it does not apply them. Use when…

oekazuma/svelte-vitals · 136 tokens

seo-pipeline-llm

4-stage SEO content pipeline: keyword research → competitor scraping → SEO analysis → content creation. Outputs local files, no CMS integration.

attaxr/attaxr-seo-pipeline · 33 tokens

dataseo-seo-research

Use DataSEO MCP for SEO research workflows including backlink analysis, keyword research, traffic checks, domain comparison, backlink opportunity discovery, AI search query planning, and SEO content briefs. Use this whenever the user asks to investigate a domain, compare competitors, plan SEO content, find backlink…

egebese/dataseo-mcp · 76 tokens

commodity-checker

Analysiert URLs oder Content-Texte auf Commodity-Gehalt und bewertet sie mit einem heuristischen Content-Score auf Basis eines eigenen 8-Dimensionen-Modells, das sich an öffentlich diskutierten Leak-Analysen rund um contentEffort orientiert. Gibt einen strukturierten Report mit Ampel-Bewertung…

seo-kreativ/commodity-checker · 313 tokens

marketing-seo

SEO keyword research, content planning, and competitor analysis with anti-hallucination gates.

itsbariscan/claude-code-marketing · 21 tokens