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 paid-ads-launchgit 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/paid-ads-launch)<a href="https://agentmods.dev/skills/nowork-studio/notfair-plugin/paid-ads-launch"><img src="https://agentmods.dev/badge/skills/nowork-studio/notfair-plugin/paid-ads-launch/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.
<a href="https://agentmods.dev/skills/nowork-studio/notfair-plugin/paid-ads-launch"><img src="https://agentmods.dev/badge/skills/nowork-studio/notfair-plugin/paid-ads-launch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00047 | $0.00467 |
| Opus 5 | $0.00023 | $0.00234 |
| Sonnet 5 | $0.00009 | $0.00093 |
| Haiku 4.5 | $0.00005 | $0.00047 |
Grade A, and why
paid-ads-launch 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 10d 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 — 33 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paid Ads Launch
Read ../shared/operating-contract.md and ../shared/measurement-framework.md.
Gate the launch
Do not build or recommend a spend plan until these are known: primary conversion and verification method, target CPA/ROAS or customer economics, daily and monthly budget, destination URL, geography, approved offer and claims, and the user who can approve spend. Diagnose tracking before optimizing toward it.
Choose the narrowest viable test. Search demand generally merits Google Search; visual discovery can suit Meta; B2B job/company targeting can suit LinkedIn; marketplace product demand can suit Amazon. A small budget split across several channels is usually an underpowered experiment: explain the tradeoff and set a review date if the user chooses it anyway.
Produce a preflight brief
Mark the following artifact ready_for_review:
| Field | Required content |
|---|---|
| Objective and measurement | Conversion, source of truth, attribution window, baseline, target, and review date |
| Channel and structure | Platform, campaign/ad-set or ad-group structure, audience/query intent, and exclusions |
| Budget | Currency, daily cap, implied monthly maximum, allocation, and pacing guardrail |
| Message chain | Audience motivation, approved claim source, ad concept, CTA, and matching landing URL |
| Experiment | Single primary variable, success metric, guardrail, minimum observation window, and stop condition |
| Readiness | Tracking, policy/rights, creative, access, and dependencies marked complete or blocked |
Execute only on verified surfaces
For Google Ads, hand the approved brief to /notfair:google-ads, then create paused and read it back. For Meta, use /notfair:meta-ads for supported operations and route unavailable creation steps to Ads Manager. For all other platforms, provide an operator-ready brief unless the current session exposes a verified NotFair connector with the needed capability. Never resume a campaign without a separate explicit approval.
What ships with it
1 file 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.
- 10d ago First seen · 33 lines · 47 tokens per session scan A 8b601304bed5
paid-ads-launch is a skill published in the GitHub repository nowork-studio/notfair-plugin (3,690 stars, last pushed 4d ago), licensed MIT. It adds 47 tokens to every session and 467 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.
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