tracepilot-gemini-cli: Instructions file for Gemini CLI

GEMINI.md

tracepilot-gemini-cli GEMINI.md is an instructions file for Gemini CLI from priyanshuchawda/tracepilot-gemini-cli. It costs 1,140 tokens per session, scanned A, a copy of gemini-cli GEMINI.md, Apache-2.0.

Project instructions for Tracepilot Gemini CLI, an open-source terminal coding assistant built with TypeScript, React, and Node.js. The project is a monorepo, meaning one repository contains several related packages.

In plain words
What is it for?
They help with building, running, testing, linting, formatting, and understanding packages such as the terminal interface, backend, SDK, and developer tools.
Why use it?
They give the assistant the project’s structure, tools, and development conventions so its changes and checks fit the codebase.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md. Also seen: mentions Gemini CLI.

This is priyanshuchawda/tracepilot-gemini-cli's own configuration. It tells Gemini CLI how to work on tracepilot-gemini-cli 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 tracepilot-gemini-cli configures →

Reuse

Borrowing it

Nothing to install: this file belongs to priyanshuchawda/tracepilot-gemini-cli. 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/priyanshuchawda/tracepilot-gemini-cli/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/priyanshuchawda/tracepilot-gemini-cli

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 tracepilot-gemini-cli GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/priyanshuchawda/tracepilot-gemini-cli/gemini-md/github.svg)](https://agentmods.dev/instructions/priyanshuchawda/tracepilot-gemini-cli/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/priyanshuchawda/tracepilot-gemini-cli/gemini-md"><img src="https://agentmods.dev/badge/instructions/priyanshuchawda/tracepilot-gemini-cli/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.

agentmods 80×15 button for tracepilot-gemini-cli GEMINI.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/priyanshuchawda/tracepilot-gemini-cli/gemini-md"><img src="https://agentmods.dev/badge/instructions/priyanshuchawda/tracepilot-gemini-cli/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,140 This file is loaded in full into every session.
When invoked 1,140 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 100% copy Near-identical to another mod 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 $0.01140 $0.01140
Opus 5 $0.00570 $0.00570
Sonnet 5 $0.00228 $0.00228
Haiku 4.5 $0.00114 $0.00114

Measured 9d ago against content hash 74dab8e16a1a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

tracepilot-gemini-cli 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 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.

Origin

This is a copy

100% identical to gemini-cli GEMINI.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

GEMINI.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 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/a2a-server: Experimental Agent-to-Agent server.
    • packages/sdk: Programmatic SDK for embedding Gemini CLI capabilities.
    • packages/devtools: Integrated developer tools (Network/Console inspector).
    • packages/test-utils: Shared test utilities and test rig.
    • 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
    • NOTE: Please run the memory and perf tests locally only if you are implementing changes related to those test areas. Otherwise skip these tests locally and rely on CI to run them on nightly builds.

    • Memory (Nightly): npm run test:memory (Runs memory regression tests against baselines. Excluded from preflight, run nightly.)
    • Performance (Nightly): npm run test:perf (Runs CPU performance regression tests against baselines. Excluded from preflight, run nightly.)
    • 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 · 97 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. 9d ago First seen · 97 lines · 1,140 tokens per session scan A 74dab8e16a1a

Subscribe to this mod's changes

tracepilot-gemini-cli GEMINI.md is an instructions file published in the GitHub repository priyanshuchawda/tracepilot-gemini-cli (1 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 1,140 tokens to every session, about $0.0057 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gemini-cli GEMINI.md, differing in 0 lines, and is treated as a copy.

Related

Other instructions, from other repositories

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

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

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

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

deepseek-harness AGENTS.md

AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.

deepseek-ai/deepseek-harness · 3,735 tokens