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-setupgit 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-setup)<a href="https://agentmods.dev/skills/nowork-studio/notfair-plugin/paid-ads-setup"><img src="https://agentmods.dev/badge/skills/nowork-studio/notfair-plugin/paid-ads-setup/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-setup"><img src="https://agentmods.dev/badge/skills/nowork-studio/notfair-plugin/paid-ads-setup.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 | $0.00055 | $0.00495 |
| Opus 5 | $0.00028 | $0.00247 |
| Sonnet 5 | $0.00011 | $0.00099 |
| Haiku 4.5 | $0.00006 | $0.00049 |
Grade A, and why
paid-ads-setup 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 9d 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 — 32 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paid Ads Setup
Read ../shared/operating-contract.md. Do not alter campaigns during setup.
Establish access
- Detect the requested platform on the universal NotFair MCP. Call
listConnectedPlatforms, then use the existing shared preambles for Google Ads and Meta Ads or thex_ads_andlinkedin_ads_tool surfaces. If the requested platform is missing, direct the user to connect it in NotFair and stop before claiming access. - List only accounts actually returned by the connected surface. Let the user select the intended account when more than one is available; never infer it from an account name.
- For TikTok, Amazon, and ChatGPT Ads, check the available tools before proposing a connection. If no verified connector exists, request a current export or describe the plan-only boundary.
Capture decision-quality context
Read project documents that are clearly marketing-relevant, then ask only for gaps that data cannot establish:
- product, offer, geography, and primary conversion;
- unit economics: target CPA or break-even ROAS, margin, and customer value;
- approved claims, differentiators, exclusions, and brand voice;
- monthly budget, launch constraints, seasonality, and competitors;
- landing-page URLs and analytics/tracking owner.
Use the Google and Meta audit skills to persist account-specific business context where supported. For X and LinkedIn, report the selected account and context without inventing a persistence surface. Do not overwrite an existing AGENTS.md, CLAUDE.md, or project instructions as a side effect of setup. Offer a clearly marked paid-media context file only after the user approves the exact location and content.
Finish with a gap register
Report connected platforms, selected accounts, verified conversion signals, available date range, and the smallest next action. State missing tracking, economics, claim proof, or platform access explicitly. Hand off to /notfair:paid-ads-review for a baseline, /notfair:paid-ads-launch for a new campaign, or the platform audit for a deeper diagnosis.
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.
- 9d ago First seen · 32 lines · 55 tokens per session scan A 8ea5898ee547
paid-ads-setup is a skill published in the GitHub repository nowork-studio/notfair-plugin (3,662 stars, last pushed 3d ago), licensed MIT. It adds 55 tokens to every session and 495 once invoked, about $0.0003 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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