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 google-ads-assetsgit 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/google-ads-assets)<a href="https://agentmods.dev/skills/nowork-studio/notfair-plugin/google-ads-assets"><img src="https://agentmods.dev/badge/skills/nowork-studio/notfair-plugin/google-ads-assets.svg" alt="Measured on agentmods" 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 | $0.00072 | $0.00151 |
| Opus 5 | $0.00036 | $0.00076 |
| Sonnet 5 | $0.00014 | $0.00030 |
| Haiku 4.5 | $0.00007 | $0.00015 |
Grade A, and why
google-ads-assets 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 8d 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.
What it actually says
Canonical NotFair workflow
Read ../../google-ads/assets/SKILL.md completely, then follow it as the active workflow. Resolve every relative reference from that file against ../../google-ads/assets/.
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.
- 8d ago First seen · 10 lines · 72 tokens per session scan A bdb972adfcc5
google-ads-assets is a skill published in the GitHub repository nowork-studio/notfair-plugin (3,662 stars, last pushed 2d ago), licensed MIT. It adds 72 tokens to every session and 151 once invoked, about $0.0004 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.
Other skills, from other repositories
setup
Setup orchestrator for the Octowiz Bridge. Re-runs the live environment check, builds a gap list, and runs only the phases needed: plugins, memory, repo, verify. Invoked automatically by octowiz:octowiz when hard gaps are detected.
octowiz
Octowiz AI coding workflow coordinator. Reads IntegraHub memory doctrine at runtime, detects where you are in the development lifecycle, and routes to the right skill combination from superpowers + mattpocock-skills. Use this skill at the START of any development work — whether you have a fresh idea, an existing plan…
build-user-persona
Build evidence-backed user personas from research inputs. Creates structured persona documents grounded in evidence, with each attribute clearly labeled as research-validated or inferred. Use this skill when you need personas for an FR, strategy doc, or design brief. Trigger on: "build a persona", "create user…
competitive-analysis
Structure a competitive landscape analysis — player profiles, capability comparison matrix, whitespace opportunities, and strategic implications. Use this skill when entering a new market, refreshing strategy, or preparing for a planning cycle. Trigger on: "do a competitive analysis", "who are our competitors"…
write-product-strategy
Generate comprehensive product strategy documents aligned with business goals. Use this when defining or updating your product's strategic direction, aligning teams on where to play and how to win, or creating a STRATEGY.md that bridges vision and execution. Triggers include: clarifying product strategy, articulating…
synthesize-user-research
Synthesize raw user research (interview notes, survey results, support tickets, NPS verbatims) into structured insights: themes, pain points, jobs-to-be-done, and research gaps. Use this skill when you need to make sense of qualitative research data before writing a feature request or building personas. Trigger on…