code-intel: Instructions file for Gemini CLI

GEMINI.md

code-intel GEMINI.md is an instructions file for Gemini CLI from SecondLifes/code-intel. It costs 362 tokens per session, scanned A, a copy of delphi-expert GEMINI.md, Apache-2.0.

A Gemini CLI instruction file that loads project rules and shared agent guidance into Gemini's working context. Gemini CLI is a command-line AI coding tool, and GEMINI.md files tell it how to work in a project.

In plain words
What is it for?
Use it to connect Gemini with the project's main rules, topic-specific rules, and the single file where project instructions are maintained.
Why use it?
It prevents Gemini from silently missing the rules that other coding tools already use.

Instructions file for Gemini CLI

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

This is SecondLifes/code-intel's own configuration. It tells Gemini CLI how to work on code-intel 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 code-intel configures →

Reuse

Borrowing it

Nothing to install: this file belongs to SecondLifes/code-intel. 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/SecondLifes/code-intel/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/SecondLifes/code-intel

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 code-intel GEMINI.md

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

Your own site · 80×15
<a href="https://agentmods.dev/instructions/secondlifes/code-intel/gemini-md"><img src="https://agentmods.dev/badge/instructions/secondlifes/code-intel/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 362 This file is loaded in full into every session.
When invoked 362 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 98% 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 $0.00362 $0.00362
Opus 5.5 $0.00145 $0.00145
Sonnet 5.5 $0.00072 $0.00072
Haiku 4.5 $0.00036 $0.00036

Measured 1mo ago against content hash 39ef62ecbb6d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

code-intel 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 1mo 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

98% identical to delphi-expert GEMINI.md — 2 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 · 30 lines

What it actually says

CodeIntel AI Spec-Kit — Gemini CLI / Antigravity Context

Gemini CLI builds its context from a hierarchy of GEMINI.md files — the global ~/.gemini/GEMINI.md, then every GEMINI.md from the working directory up to the project root. It does not read .gemini/rules/project-rules.md on its own; that file is this kit's hand-authored Gemini summary, and this file is what actually puts it in front of the model.

Nothing is duplicated here. The import below pulls in the real content, so .gemini/rules/project-rules.md stays the single place it is edited.

@./.gemini/rules/project-rules.md

Also binding

The universal, tool-independent rules live in AGENTS.md, and the per-topic rules in .agents/rules/*.md. Read them when the task they govern comes up — they are as binding here as they are for any other tool this kit supports.

Why this file exists: this kit shipped a .gemini/rules/project-rules.md and an AI-tool table naming it as Gemini's source, but no GEMINI.md anywhere and no context.fileName override in a .gemini/settings.json — so Gemini CLI loaded none of it. Verified against geminicli.com/docs/cli/gemini-md. The alternative fix is a .gemini/settings.json with {"context": {"fileName": ["GEMINI.md", "AGENTS.md"]}}; this file was chosen instead because it works with no configuration at all.

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. 1mo ago First seen · 30 lines · 362 tokens per session scan A 39ef62ecbb6d

Subscribe to this mod's changes

code-intel GEMINI.md is an instructions file published in the GitHub repository SecondLifes/code-intel (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 362 tokens to every session, about $0.0014 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to delphi-expert GEMINI.md, differing in 2 lines, and is treated as a copy.

Related

Other instructions, from other repositories

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 · 9,715 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 · 7,581 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, cache eligibility and rollout and applying the notice (cutover).

microsoft/vscode · 5,262 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 · 4,680 tokens

vscode copilot-instructions.md

Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).

microsoft/vscode · 2,731 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 · 4,261 tokens