open-seo: Skill for Claude Code

.agents/skills/openseo-review-web-content/SKILL.md

openseo-review-web-content is a skill for Claude Code, Codex from every-app/open-seo. It costs 58 tokens per session (446 once invoked), scanned A, original, MIT.

A writing and review guide for user-facing OpenSEO website content, such as blog posts, guides, feature pages, and FAQs. It keeps claims tied to what the product actually does and costs.

In plain words
What is it for?
Use it when adding or editing prose in the website's content files, including articles, guides, feature explanations, and frequently asked questions.
Why use it?
It helps prevent inaccurate product descriptions, misleading pricing, and vague or overly polished writing. It keeps website copy useful and understandable to readers.

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/openseo-review-web-content/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 openseo-review-web-content

README.md
[![agentmods](https://agentmods.dev/badge/skills/every-app/open-seo/openseo-review-web-content/github.svg)](https://agentmods.dev/skills/every-app/open-seo/openseo-review-web-content)
Your own site
<a href="https://agentmods.dev/skills/every-app/open-seo/openseo-review-web-content"><img src="https://agentmods.dev/badge/skills/every-app/open-seo/openseo-review-web-content/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 openseo-review-web-content

Your own site · 80×15
<a href="https://agentmods.dev/skills/every-app/open-seo/openseo-review-web-content"><img src="https://agentmods.dev/badge/skills/every-app/open-seo/openseo-review-web-content.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 446 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
  • 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 $0.00058 $0.00446
Opus 5.5 $0.00023 $0.00178
Sonnet 5.5 $0.00012 $0.00089
Haiku 4.5 $0.00006 $0.00045

Measured 13d ago against content hash 64af84b49ee6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

openseo-review-web-content 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 13d 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:

.agents/skills/openseo-review-web-content/SKILL.md · 36 lines

What it actually says

OpenSEO Web Content

Every page is for a specific reader. A blog post should leave them better at SEO. A product page should help them decide whether OpenSEO solves their problem. Judge every edit by one question: is this better for that reader? We are not writing to pass a review.

Write for the reader

  • Say up front what the reader will get, in their terms.
  • Organize around their job, not the source material. Interviews become a plan, not a roundup of quotes.
  • Carry one real example through, with real numbers.
  • Use lists instead of dense paragraphs: bullet points for things the reader needs to do or check, and numbered lists for steps in order.
  • Give practical advice, even when it's messier than the official rules.
  • Answer straight. "No" and "it costs money" are complete answers.

Cut what isn't for them

  • Notes for whoever checks the draft: method footers, "verbatim" assurances, tool or API names, "re-checked on" dates.
  • Hedges that protect the writer, and links or asides that interrupt.
  • Anything that reads like an ad. A company used as an example is there to teach.

Don't make things up

That's the whole accuracy bar. Product capabilities, prices, quotes, and data must be real, so check product claims against the code. Framing, figures of speech, and opinions are the writer's call. Don't ask for disclosures or a source for every number. Never call OpenSEO simply "free."

Voice

Use the deslop skill for AI tells. When editing someone else's post, keep their voice and examples. In the playbook library, an approach is a "strategy," never a "play."

Run prettier on the files you touch.

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. 13d ago Changed · +58 tokens per session 64af84b49ee6
  2. 21d ago Changed · -2 lines · -58 tokens per session bbd69189011f
  3. 1mo ago First seen · 38 lines · 58 tokens per session scan A 52dc4858851d

Subscribe to this mod's changes

openseo-review-web-content is a skill published in the GitHub repository every-app/open-seo (25,345 stars, last pushed yesterday), licensed MIT. It adds 58 tokens to every session and 446 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 2026-08-30.

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