gemini

gemini is a skill for Claude Code from nowork-studio/notfair-plugin. It costs 184 tokens per session (335 once invoked), scanned A, original, MIT.

A second-opinion workflow that asks Google's Gemini command-line tool to review code, Google Ads changes, or search-engine optimisation changes. It can review, challenge, or discuss the proposed work.

In plain words
What is it for?
Review code diffs and refactors, test Google Ads campaigns and budgets, or check SEO titles, descriptions, schema, robots rules, sitemaps, and rewritten content.
Why use it?
A different AI may catch problems the first review missed, especially in Google products where Gemini has relevant platform context. The challenge mode deliberately tests whether a change can fail.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the notfair plugin — 48 skills, 1 MCP server shipped together

Good fit Review code diffs and refactors, test Google Ads campaigns and budgets, or check SEO titles, descriptions, schema, robots rules, sitemaps, and rewritten content.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nowork-studio/notfair-plugin/gemini
About the project

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.

nowork-studio/notfair-plugin · 3,958 stars · on GitHub · notfair.co

Install

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.

Any agent
npx skills add nowork-studio/notfair-plugin --skill gemini
Clone the repo
git clone --depth 1 https://github.com/nowork-studio/notfair-plugin

Made for: Claude Code.

Or install notfair, the plugin that ships this one along with the rest of its 48 skills, 1 MCP server.

Wrote 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.

agentmods badge for gemini

README.md
[![agentmods](https://agentmods.dev/badge/skills/nowork-studio/notfair-plugin/gemini/github.svg)](https://agentmods.dev/skills/nowork-studio/notfair-plugin/gemini)
Your own site
<a href="https://agentmods.dev/skills/nowork-studio/notfair-plugin/gemini"><img src="https://agentmods.dev/badge/skills/nowork-studio/notfair-plugin/gemini/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.

agentmods 80×15 button for gemini

Your own site · 80×15
<a href="https://agentmods.dev/skills/nowork-studio/notfair-plugin/gemini"><img src="https://agentmods.dev/badge/skills/nowork-studio/notfair-plugin/gemini.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 184 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 335 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00184 $0.00335
Opus 5.5 $0.00074 $0.00134
Sonnet 5.5 $0.00037 $0.00067
Haiku 4.5 $0.00018 $0.00034

Measured 9d ago against content hash a37ba2b01596, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gemini 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.

skills/gemini/SKILL.md · 32 lines

What it actually says

Canonical NotFair workflow

Read ../../gemini/WORKFLOW.md completely, then follow it as the active workflow. Resolve every relative reference from that file against ../../gemini/.

Files

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.

Changes

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.

  1. 9d ago Changed · -279 lines a37ba2b01596
  2. 1mo ago First seen · 311 lines · 184 tokens per session scan A 8e9ffe960913

Subscribe to this mod's changes

gemini is a skill published in the GitHub repository nowork-studio/notfair-plugin (3,958 stars, last pushed 3d ago), licensed MIT. It adds 184 tokens to every session and 335 once invoked, about $0.0007 per session on Opus 5.5. 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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