gemini-cli-gopls: Instructions file for Gemini CLI

GEMINI.md

gemini-cli-gopls GEMINI.md is an instructions file for Gemini CLI from Menghuan1918/gemini-cli-gopls. It costs 966 tokens per session, scanned A, original, MIT.

A set of instructions for using gopls, the official Go language server, with an MCP server. It explains how to set up and inspect a Go workspace and how to follow separate workflows for reading or editing code.

In plain words
What is it for?
Use it when an AI assistant is answering questions about, or editing, a Go codebase through gopls.
Why use it?
It provides a required sequence for understanding and changing Go projects, including checking for a go.mod file and restarting after workspace setup.

Instructions file for Gemini CLI

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

This is Menghuan1918/gemini-cli-gopls's own configuration. It tells Gemini CLI how to work on gemini-cli-gopls 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 gemini-cli-gopls configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Menghuan1918/gemini-cli-gopls. 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/Menghuan1918/gemini-cli-gopls/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/Menghuan1918/gemini-cli-gopls

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 gemini-cli-gopls GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/menghuan1918/gemini-cli-gopls/gemini-md.svg)](https://agentmods.dev/instructions/menghuan1918/gemini-cli-gopls/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/menghuan1918/gemini-cli-gopls/gemini-md"><img src="https://agentmods.dev/badge/instructions/menghuan1918/gemini-cli-gopls/gemini-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 966 This file is loaded in full into every session.
When invoked 966 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00966 $0.00966
Opus 5 $0.00483 $0.00483
Sonnet 5 $0.00193 $0.00193
Haiku 4.5 $0.00097 $0.00097

Measured 8d ago against content hash c2d88347ea4f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

gemini-cli-gopls 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 · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

The gopls MCP server

These instructions describe how to efficiently work in the Go programming language using the gopls MCP server.

Init a Go workspace

If no go.mod is detected at startup, the gopls MCP will not start. After initializing the Go workspace, you need to restart the CLI for the gopls MCP to take effect.

Detecting a Go workspace

At the start of every session, you MUST use the go_workspace tool to learn about the Go workspace. The rest of these instructions apply whenever that tool indicates that the user is in a Go workspace.

Go programming workflows

These guidelines MUST be followed whenever working in a Go workspace. There are two workflows described below: the 'Read Workflow' must be followed when the user asks a question about a Go workspace. The 'Edit Workflow' must be followed when the user edits a Go workspace.

You may re-do parts of each workflow as necessary to recover from errors. However, you must not skip any steps.

Read workflow

The goal of the read workflow is to understand the codebase.

  1. Understand the workspace layout: Start by using go_workspace to understand the overall structure of the workspace, such as whether it's a module, a workspace, or a GOPATH project.

  2. Find relevant symbols: If you're looking for a specific type, function, or variable, use go_search. This is a fuzzy search that will help you locate symbols even if you don't know the exact name or location. EXAMPLE: search for the 'Server' type: go_search({"query":"server"})

  3. Understand a file and its intra-package dependencies: When you have a file path and want to understand its contents and how it connects to other files in the same package, use go_file_context. This tool will show you a summary of the declarations from other files in the same package that are used by the current file. go_file_context MUST be used immediately after reading any Go file for the first time, and MAY be re-used if dependencies have changed. EXAMPLE: to understand server.go's dependencies on other files in its package: go_file_context({"file":"/path/to/server.go"})

Read the full file on GitHub · 53 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. 8d ago First seen · 53 lines · 966 tokens per session scan A c2d88347ea4f

Subscribe to this mod's changes

gemini-cli-gopls GEMINI.md is an instructions file published in the GitHub repository Menghuan1918/gemini-cli-gopls (13 stars, last pushed 11mo ago), licensed MIT. It adds 966 tokens to every session, about $0.0048 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

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

spec-kit AGENTS.md

AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.

github/spec-kit · 7,104 tokens