programmatic-seo

programmatic-seo is a skill for Claude Code from nowork-studio/notfair-plugin. It costs 204 tokens per session (318 once invoked), scanned A, original, MIT.

A planning and audit guide for programmatic SEO: creating many search-focused pages from templates and data. It covers patterns such as a service combined with a city and checks whether each page offers useful, distinct information.

In plain words
What is it for?
Use it to design or review large sets of generated SEO pages, validate demand, inspect indexing, and improve templates and data sources.
Why use it?
It helps avoid pages that are thin, duplicated, aimed at searches nobody makes, or treated by search engines as doorway pages.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the notfair plugin — 48 skills, 1 MCP server shipped together

Good fit Use it to design or review large sets of generated SEO pages, validate demand, inspect indexing, and improve templates and data sources.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nowork-studio/notfair-plugin/programmatic-seo
About the project

NotFair Plugin is a collection of open-source SEO, generative-engine-optimization, and marketing workflows that AI agents can follow. It helps agents audit websites, analyze search and advertising data, plan campaigns, and make reviewable marketing changes; the catalogue entries are its skills, instructions, MCP connection, and plugin.

nowork-studio/notfair-plugin · 4,064 stars · on GitHub · notfair.co

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.

Any agent
npx skills add nowork-studio/notfair-plugin --skill programmatic-seo
Clone the repo
git clone --depth 1 https://github.com/nowork-studio/notfair-plugin

Made for: Claude Code.

Or install notfair, the plugin that ships this one along with the rest of its 48 skills, 1 MCP server.

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 programmatic-seo

README.md
[![agentmods](https://agentmods.dev/badge/skills/nowork-studio/notfair-plugin/programmatic-seo/github.svg)](https://agentmods.dev/skills/nowork-studio/notfair-plugin/programmatic-seo)
Your own site
<a href="https://agentmods.dev/skills/nowork-studio/notfair-plugin/programmatic-seo"><img src="https://agentmods.dev/badge/skills/nowork-studio/notfair-plugin/programmatic-seo/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 programmatic-seo

Your own site · 80×15
<a href="https://agentmods.dev/skills/nowork-studio/notfair-plugin/programmatic-seo"><img src="https://agentmods.dev/badge/skills/nowork-studio/notfair-plugin/programmatic-seo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 204 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 318 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 $0.00204 $0.00318
Opus 5.5 $0.00082 $0.00127
Sonnet 5.5 $0.00041 $0.00064
Haiku 4.5 $0.00020 $0.00032

Measured 17d ago against content hash f1cf8622aa79, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

programmatic-seo 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 17d 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.

skills/programmatic-seo/SKILL.md · 22 lines

What it actually says

Canonical NotFair workflow

Read ../../seo/programmatic-seo/WORKFLOW.md completely, then follow it as the active workflow. Resolve every relative reference from that file against ../../seo/programmatic-seo/.

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. 17d ago Changed · -56 lines f1cf8622aa79
  2. 1mo ago Changed · -2 lines · -24 tokens per session c66694085ffe
  3. 1mo ago First seen · 80 lines · 228 tokens per session scan A 90cde0e1a3e7

Subscribe to this mod's changes

programmatic-seo is a skill published in the GitHub repository nowork-studio/notfair-plugin (4,064 stars, last pushed 4d ago), licensed MIT. It adds 204 tokens to every session and 318 once invoked, about $0.0008 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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