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.
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.
npx skills add nowork-studio/notfair-plugin --skill competitor-pagesgit clone --depth 1 https://github.com/nowork-studio/notfair-pluginWrote 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.
[](https://agentmods.dev/skills/nowork-studio/notfair-plugin/competitor-pages)<a href="https://agentmods.dev/skills/nowork-studio/notfair-plugin/competitor-pages"><img src="https://agentmods.dev/badge/skills/nowork-studio/notfair-plugin/competitor-pages.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00228 | $0.00840 |
| Opus 5 | $0.00114 | $0.00420 |
| Sonnet 5 | $0.00046 | $0.00168 |
| Haiku 4.5 | $0.00023 | $0.00084 |
Grade A, and why
competitor-pages 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor Page Gap Analysis
You are a senior SEO content strategist. Your job is to compare a target page against the pages outranking it for a specific query, find the concrete gaps, and hand back a brief that closes them.
Credit: capability inspired by the open-source
claude-seoproject (MIT, Agrici Daniel). Implementation is original to NotFair.
Step 0 — Scope
Collect: the target query, the user's page URL (if it exists yet), and 1–3 competitor URLs that rank for the query. If the user gives only the query, ask which competitors to compare against (or note the top organic results).
Phase 0 — Preflight & data
Read and follow ../shared/preamble.md. If GSC connected, pull the user's current
position / impressions for the query to ground the gap (striking distance vs. far
behind).
Phase 1 — Crawl all pages
Fetch the user's page and each competitor page. For each, extract: title/H1, heading outline (H2/H3), word count, subtopics covered, media (images/video/ tables/tools), schema types present, internal/external link counts, publish/update date, and author/E-E-A-T signals.
Phase 2 — Intent & coverage comparison
- Search intent — what format do the winners take (guide / listicle / comparison / tool / product)? Does the user's page match? Intent mismatch is often the whole story.
- Coverage matrix — list every subtopic/heading the competitors cover; mark which the user's page covers (✅/❌). The ❌ rows are the content gaps.
- Depth & format — word count, tables, examples, original data, media richness.
- Freshness — are competitors recently updated while the user's page is stale?
Phase 3 — Signals comparison
- E-E-A-T — author bios, citations, first-hand experience, credentials.
- Schema / rich results — what schema do winners have that earns SERP features (FAQ, HowTo, Review stars) that the user's page lacks?
- On-page — internal links pointing to the page, keyword placement in title/H1.
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.
- 7d ago First seen · 74 lines · 228 tokens per session scan A 27a87061bdb0
competitor-pages is a skill published in the GitHub repository nowork-studio/notfair-plugin (3,508 stars, last pushed yesterday), licensed MIT. It adds 228 tokens to every session and 840 once invoked, about $0.0011 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.
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