ai-directories: Instructions file for Gemini CLI

GEMINI.md

ai-directories GEMINI.md is an instructions file for Gemini CLI from man0l/ai-directories. It costs 1,027 tokens per session, scanned A, original, no licence file.

A Gemini CLI instruction file for ai-directories, covering the first interaction with a user and the questions needed to collect a directory submission.

In plain words
What is it for?
Use it when onboarding users, collecting required details, discussing optional preferences, or preparing an ai-directories submission.
Why use it?
It helps the agent gather required information in the intended order instead of guessing what the user wants.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md.

This is man0l/ai-directories's own configuration. It tells Gemini CLI how to work on ai-directories itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-directories configures →

Reuse

Borrowing it

Nothing to install: this file belongs to man0l/ai-directories. 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/man0l/ai-directories/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/man0l/ai-directories

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.

agentmods badge for ai-directories GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/man0l/ai-directories/gemini-md.svg)](https://agentmods.dev/instructions/man0l/ai-directories/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/man0l/ai-directories/gemini-md"><img src="https://agentmods.dev/badge/instructions/man0l/ai-directories/gemini-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,027 This file is loaded in full into every session.
When invoked 1,027 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 unknown 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 $0.01027 $0.01027
Opus 5 $0.00513 $0.00513
Sonnet 5 $0.00205 $0.00205
Haiku 4.5 $0.00103 $0.00103

Measured 8d ago against content hash b3583f0526e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

ai-directories 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 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.

GEMINI.md · 118 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 8d ago First seen · 118 lines · 1,027 tokens per session scan A b3583f0526e2

Subscribe to this mod's changes

ai-directories GEMINI.md is an instructions file published in the GitHub repository man0l/ai-directories (39 stars, last pushed 3mo ago), with no licence file. It adds 1,027 tokens to every session, about $0.0051 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.

Related

Other instructions, from other repositories

vibetags com-example-config-AsyncTestConfig.instructions.md

Instructions for PIsberg/vibetags, covering copilot instructions for asynctestconfig and immutable type.

PIsberg/vibetags · 82 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,153 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,469 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens