What is awesome-gemini GEMINI.md?

Repository instructions for awesome-gemini, a collection of guides and reusable custom instructions for Google's Gemini AI models. It explains the project's structure and where new gems and guides belong.

Use it when working on the awesome-gemini repository, especially when adding a Gemini guide or gem.

It gives contributors the project rules needed to add documentation or reusable assistant instructions in the right place.

How aaronhuff/awesome-gemini configures Gemini CLI

Reuse

Borrowing it

Nothing to install: this file belongs to aaronhuff/awesome-gemini. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/aaronhuff/awesome-gemini/main/GEMINI.md

Clone the repo

git clone --depth 1 https://github.com/aaronhuff/awesome-gemini

Made for: Gemini CLI.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/aaronhuff/awesome-gemini/gemini-md/github.svg)](https://agentmods.dev/instructions/aaronhuff/awesome-gemini/gemini-md)

Your own site

<a href="https://agentmods.dev/instructions/aaronhuff/awesome-gemini/gemini-md"><img src="https://agentmods.dev/badge/instructions/aaronhuff/awesome-gemini/gemini-md/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/aaronhuff/awesome-gemini/gemini-md"><img src="https://agentmods.dev/badge/instructions/aaronhuff/awesome-gemini/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 554 This file is loaded in full into every session.

When invoked 554 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00554	$0.00554
Opus 5.5	$0.00222	$0.00222
Sonnet 5.5	$0.00111	$0.00111
Haiku 4.5	$0.00055	$0.00055

Measured 2mo ago against content hash a6234435e55a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

awesome-gemini GEMINI.md 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 2mo 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.

GEMINI.md · 40 lines

How it starts

The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Welcome to the Gemini Documentation

This repository contains a collection of guides and "gems" to help you get the most out of the Gemini family of models.

Introduction to Gemini

Gemini is a family of multimodal AI models developed by Google. They are capable of understanding and processing text, code, images, and video.

Getting Started

To learn how to write effective prompts for Gemini, please refer to our Prompting Best Practices guide. For hands-on tutorials and practical examples, check out the Gemini API Cookbook.

Project Structure

This repository is organized into two main categories:

Gems: These are pre-built custom instructions that you can use to create specialized AI assistants. They are located in the gems/ directory.
Guides: These are in-depth tutorials and walkthroughs that explain how to use Gemini for a variety of tasks. They are located in the guides/ directory.

When adding new content, please make sure to place it in the appropriate directory. If you are adding a new set of custom instructions, it should be a "gem". If you are adding a tutorial or a "how-to" article, it should be a "guide".

Gems

Gems are pre-built custom instructions that you can use to create specialized AI assistants.

Adaptive Fitness Coach: A personal fitness coach that creates customized workout and nutrition plans.
Financial Advisor: A personal finance assistant that helps you manage your budget, savings, and investments.
Google Workspace Assistant: Turn Gemini into a powerful productivity assistant for Google Workspace.

Guides

Our guides provide in-depth information on how to use Gemini for a variety of tasks.

AI Studio Guide: Learn how to use Google AI Studio to prototype and test your prompts.
Gemini Code Review Guide: See how to use Gemini to automatically review your code on GitHub.
Jules: Your AI Coding Partner: Learn how to interact with Jules, your AI software engineer.
Learning Tools Guide: Explore how to use Gemini as a personalized learning companion.
Prompting Best Practices: Learn how to write effective prompts for Gemini.

Read the full file on GitHub · 40 lines

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.

2mo ago First seen · 40 lines · 554 tokens per session scan A a6234435e55a

Subscribe to this mod's changes

awesome-gemini GEMINI.md is an instructions file published in the GitHub repository aaronhuff/awesome-gemini (4 stars, last pushed 1y ago), licensed MIT. It adds 554 tokens to every session, about $0.0022 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 2026-08-31.

Building agents Learning and teaching ai gemini gemini-ai gemini-api gemini-cli gemini-client

awesome-gemini GEMINI.md next to 6 instructions from other repositories
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awesome-gemini: Instructions file for Gemini CLI