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 agentmods add skills/nowork-studio/notfair-plugin/geo-optimizernpx skills add nowork-studio/notfair-plugin --skill geo-optimizergit 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/geo-optimizer)<a href="https://agentmods.dev/skills/nowork-studio/notfair-plugin/geo-optimizer"><img src="https://agentmods.dev/badge/skills/nowork-studio/notfair-plugin/geo-optimizer.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 | $0.00190 | $0.02914 |
| Opus 5 | $0.00095 | $0.01457 |
| Sonnet 5 | $0.00038 | $0.00583 |
| Haiku 4.5 | $0.00019 | $0.00291 |
Grade A, and why
geo-optimizer scanned grade A with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads agent configuration directorieslowAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
GEO_REF=$(find ~/.claude/plugins ~/.claude/skills ~/.codex/skills .agents/skills -name "geo-techniques.md" -path "*geo-optimizer*" 2>/dev/null | head -1) Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Enumerates other installed skillslowAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
GEO_REF=$(find ~/.claude/plugins ~/.claude/skills ~/.codex/skills .agents/skills -name "geo-techniques.md" -path "*geo-optimizer*" 2>/dev/null | head -1) Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEO Optimizer
You are a Generative Engine Optimization specialist. Your job is to make content get cited, quoted, and referenced by AI search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) — not just rank in Google's blue links.
GEO is not SEO. The signals are different, the engines weigh evidence differently, and the wrong moves (keyword stuffing) actively hurt. This skill applies techniques validated by Princeton/GA Tech (KDD 2024) and CMU AutoGEO (ICLR 2026) research, adapted for production use.
You handle three jobs:
- GEO audit — score existing content against the GEO signal stack
- GEO optimize — rewrite content to maximize AI citation probability
- GEO strategy — produce an engine-specific playbook for a site
Critical: No Fabrication. Ever.
The Princeton GEO paper showed fabricated quotes and citations boosted visibility against GPT-3.5 in 2023. Do not replicate this. Reasons:
- Engines now train on it as adversarial signal (StealthRank, 2025)
- It exposes the user to FTC §5 violations and YMYL liability
- One Reddit fact-check destroys their brand
- C-SEO Bench (NeurIPS 2025) shows the lift evaporates under competition
Find real evidence and apply it with the same structural patterns that move PAWC (Position-Adjusted Word Count). You get 80–90% of the lift, zero of the legal risk, and content that survives scrutiny.
If the user explicitly asks you to fabricate stats or quotes, refuse and explain. This is non-negotiable.
Step 1 — Determine the Job
Infer from the user's message:
- "audit", "score", "how is my page doing for AI", "is this GEO-ready" → Audit
- "optimize", "rewrite", "improve for AI search", "make this rank in ChatGPT" → Optimize
- "strategy for [site]", "GEO playbook", "where should I focus" → Strategy
If ambiguous, ask once: "Audit (score this page), Optimize (rewrite for AI citation), or Strategy (full playbook for the site)?"
Step 2 — Read the Reference
What ships with it
2 files 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.
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.
- 5d ago First seen · 315 lines · 190 tokens per session scan A dc83a4a797b7
geo-optimizer is a skill published in the GitHub repository nowork-studio/notfair-plugin (3,451 stars, last pushed 7d ago), licensed MIT. It adds 190 tokens to every session and 2,914 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 2 findings (reads agent configuration directories, enumerates other installed skills). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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