gemini-cli-googleadsagent GEMINI.md

gemini-cli-googleadsagent GEMINI.md is an instructions file for Gemini CLI from itallstartedwithaidea/gemini-cli-googleadsagent. It costs 1,084 tokens per session, scanned A, original, Apache-2.0.

A set of instructions for developing Gemini CLI, an open-source terminal program for working with Gemini models. It explains the project structure, technologies, building, running, testing, and coding conventions; a monorepo means one repository containing multiple related packages.

In plain words
What is it for?
Use it when building, running, testing, or changing the Gemini CLI and its packages, including the VS Code companion and agent-to-agent server.
Why use it?
It helps agents understand how the Gemini CLI codebase is organized and how to verify changes correctly.

Instructions file for Gemini CLI

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.

agentmods
npx agentmods add instructions/itallstartedwithaidea/gemini-cli-googleadsagent/gemini-md
Clone the repo
git clone --depth 1 https://github.com/itallstartedwithaidea/gemini-cli-googleadsagent

Made for: Gemini CLI.

Per session 1,084 This file is loaded in full into every session.
When invoked 1,084 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.01084 $0.01084
Opus 5 $0.00542 $0.00542
Sonnet 5 $0.00217 $0.00217
Haiku 4.5 $0.00108 $0.00108

Measured 3d ago against content hash 6e08b210ea0a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gemini-cli-googleadsagent 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 3d 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 · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gemini CLI Project Context

Gemini CLI is an open-source AI agent that brings the power of Gemini directly into the terminal. It is designed to be a terminal-first, extensible, and powerful tool for developers.

Project Overview

  • Purpose: Provide a seamless terminal interface for Gemini models, supporting code understanding, generation, automation, and integration via MCP (Model Context Protocol).
  • Main Technologies:
    • Runtime: Node.js (>=20.0.0, recommended ~20.19.0 for development)
    • Language: TypeScript
    • UI Framework: React (using Ink for CLI rendering)
    • Testing: Vitest
    • Bundling: esbuild
    • Linting/Formatting: ESLint, Prettier
  • Architecture: Monorepo structure using npm workspaces.
    • packages/cli: User-facing terminal UI, input processing, and display rendering.
    • packages/core: Backend logic, Gemini API orchestration, prompt construction, and tool execution.
    • packages/core/src/tools/: Built-in tools for file system, shell, and web operations.
    • packages/a2a-server: Experimental Agent-to-Agent server.
    • packages/vscode-ide-companion: VS Code extension pairing with the CLI.

Building and Running

  • Install Dependencies: npm install
  • Build All: npm run build:all (Builds packages, sandbox, and VS Code companion)
  • Build Packages: npm run build
  • Run in Development: npm run start
  • Run in Debug Mode: npm run debug (Enables Node.js inspector)
  • Bundle Project: npm run bundle
  • Clean Artifacts: npm run clean

Testing and Quality

  • Test Commands:
    • Unit (All): npm run test
    • Integration (E2E): npm run test:e2e
    • Workspace-Specific: npm test -w <pkg> -- <path> (Note: <path> must be relative to the workspace root, e.g., -w @google/gemini-cli-core -- src/routing/modelRouterService.test.ts)
  • Full Validation: npm run preflight (Heaviest check; runs clean, install, build, lint, type check, and tests. Recommended before submitting PRs. Due to its long runtime, only run this at the very end of a code implementation task. If it fails, use faster, targeted commands (e.g., npm run test, npm run lint, or workspace-specific tests) to iterate on fixes before re-running preflight. For simple, non-code changes like documentation or prompting updates, skip preflight at the end of the task and wait for PR validation.)
  • Individual Checks: npm run lint / npm run format / npm run typecheck

Read the full file on GitHub · 95 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.

  1. 3d ago First seen · 95 lines · 1,084 tokens per session scan A 6e08b210ea0a

Subscribe to this mod's changes

gemini-cli-googleadsagent GEMINI.md is an instructions file published in the GitHub repository itallstartedwithaidea/gemini-cli-googleadsagent (5 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 1,084 tokens to every session, about $0.0054 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 2026-08-31.