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 keyword-researchgit 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/keyword-research)<a href="https://agentmods.dev/skills/nowork-studio/notfair-plugin/keyword-research"><img src="https://agentmods.dev/badge/skills/nowork-studio/notfair-plugin/keyword-research/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/keyword-research"><img src="https://agentmods.dev/badge/skills/nowork-studio/notfair-plugin/keyword-research.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 | $0.00116 | $0.02340 |
| Opus 5 | $0.00058 | $0.01170 |
| Sonnet 5 | $0.00023 | $0.00468 |
| Haiku 4.5 | $0.00012 | $0.00234 |
Grade A, and why
keyword-research 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- keyword-research — 97% identical, 14 lines differ
How it starts
The opening of the file, as written. The whole thing — 304 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Keyword Research
Discovers, analyzes, and prioritizes keywords for SEO and GEO content strategies. Identifies high-value opportunities based on search volume, competition, intent, and business relevance.
When This Must Trigger
Use this when the conversation involves any of these situations — even if the user does not use SEO terminology:
Use this whenever the task needs reusable market intelligence that should influence strategy, not just an ad hoc answer.
- Starting a new content strategy or campaign
- Expanding into new topics or markets
- Finding keywords for a specific product or service
- Identifying long-tail keyword opportunities
- Understanding search intent for your industry
- Planning content calendars
- Researching keywords for GEO optimization
What This Skill Does
- Keyword Discovery: Generates comprehensive keyword lists from seed terms
- Intent Classification: Categorizes keywords by user intent (informational, navigational, commercial, transactional)
- Difficulty Assessment: Evaluates competition level and ranking difficulty
- Opportunity Scoring: Prioritizes keywords by potential ROI
- Clustering: Groups related keywords into topic clusters
- GEO Relevance: Identifies keywords likely to trigger AI responses
Quick Start
Start with one of these prompts.
Basic Keyword Research
Research keywords for [topic/product/service]
Find keyword opportunities for a [industry] business targeting [audience]
With Specific Goals
Find low-competition keywords for [topic] with commercial intent
Identify question-based keywords for [topic] that AI systems might answer
Competitive Research
What keywords is [competitor URL] ranking for that I should target?
Data Sources
Note: All integrations are optional. This skill works without any API keys — users provide data manually when no tools are connected.
With ~~SEO tool + ~~search console connected: Automatically pull historical search volume data, keyword difficulty scores, SERP analysis, current rankings from ~~search console, and competitor keyword overlap. The skill will fetch seed keyword metrics, related keyword suggestions, and search trend data.
What ships with it
5 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.
- 9d ago First seen · 304 lines · 116 tokens per session scan A 25c3a98b6a81
keyword-research is a skill published in the GitHub repository nowork-studio/notfair-plugin (3,662 stars, last pushed 3d ago), licensed MIT. It adds 116 tokens to every session and 2,340 once invoked, about $0.0006 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…