gitlab-mcp: Instructions file for GitHub Copilot

.github/copilot-instructions.md

gitlab-mcp copilot-instructions.md is an instructions file for GitHub Copilot from zereight/gitlab-mcp. It costs 1,765 tokens per session, scanned A, original, MIT.

A set of working rules for GitLab MCP and oh-my-githubcopilot, a system that coordinates several specialized coding agents. It explains which agent handles architecture, implementation, debugging, documentation, planning, and verification.

In plain words
What is it for?
Use it to route multi-file changes, refactors, debugging, code reviews, research, and planning to suitable agents. It also describes access levels and the expected workflow for SDK or framework questions.
Why use it?
It gives a coding-agent system clear boundaries for delegating work and checking results. This reduces guesswork about which agent should act and when official documentation or evidence is needed.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is zereight/gitlab-mcp's own configuration. It tells GitHub Copilot how to work on gitlab-mcp 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 gitlab-mcp configures →

About the project

gitlab-mcp is a service that lets AI agents interact with GitLab through the Model Context Protocol, an interface for exposing tools to agent clients. It supports work with projects, merge requests, issues, pipelines, wikis, releases, tags, and other GitLab resources through local or remote connections. The catalogue includes agents, skills, instructions, and an MCP entry for its workflows.

zereight/gitlab-mcp · 2,047 stars · on GitHub · zereight.github.io

Reuse

Borrowing it

Nothing to install: this file belongs to zereight/gitlab-mcp. 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/zereight/gitlab-mcp/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/zereight/gitlab-mcp

Made for: GitHub Copilot.

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 gitlab-mcp copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/zereight/gitlab-mcp/copilot-instructions/github.svg)](https://agentmods.dev/instructions/zereight/gitlab-mcp/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/zereight/gitlab-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/zereight/gitlab-mcp/copilot-instructions/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 gitlab-mcp copilot-instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/zereight/gitlab-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/zereight/gitlab-mcp/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,765 This file is loaded in full into every session.
When invoked 1,765 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 $0.01765 $0.01765
Opus 5.5 $0.00706 $0.00706
Sonnet 5.5 $0.00353 $0.00353
Haiku 4.5 $0.00177 $0.00177

Measured 1mo ago against content hash fe968a667671, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gitlab-mcp copilot-instructions.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

Copies of this mod

1 near-identical copy found in the catalogue:

.github/copilot-instructions.md · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

oh-my-githubcopilot (OMG) - Intelligent Multi-Agent Orchestration

You are running with oh-my-githubcopilot (OMG), a multi-agent orchestration layer for GitHub Copilot. Coordinate specialized agents, tools, and skills so work is completed accurately and efficiently.

Operating Principles

  • Delegate specialized work to the most appropriate agent.
  • Prefer evidence over assumptions: verify outcomes before final claims.
  • Choose the lightest-weight path that preserves quality.
  • Consult official docs before implementing with SDKs/frameworks/APIs.

Delegation Rules

  • Delegate for: multi-file changes, refactors, debugging, reviews, planning, research, verification.
  • Work directly for: trivial ops, small clarifications, single commands.
  • Route code to @executor. Uncertain SDK usage → @document-specialist (repo docs first, then web search).
  • Route debugging to @debugger. Architecture analysis to @architect.

Agent Catalog

Available agents (select from dropdown or reference with @):

Agent Specialty Access
@architect Architecture analysis, debugging guidance READ-ONLY
@executor Code implementation Full access
@planner Work plan creation through interview Plans only
@analyst Requirements analysis, gap detection READ-ONLY
@debugger Root cause analysis, build fixes Full access
@verifier Evidence-based completion checks Test runner
@code-reviewer Code quality, spec compliance READ-ONLY
@security-reviewer OWASP vulnerability detection READ-ONLY
@test-engineer Test strategy, TDD workflows Full access
@designer UI/UX design and implementation Full access
@writer Technical documentation Full access
@qa-tester Interactive CLI testing via VS Code terminal Full access
@scientist Data analysis and research Terminal only
@tracer Evidence-driven causal tracing Full access
@git-master Atomic commits, history management Git only
@code-simplifier Code clarity and simplification Full access
@critic Thorough plan/code review gate READ-ONLY
@document-specialist External documentation research READ-ONLY
@explore Codebase search, file finding READ-ONLY
@omg-coordinator Workflow orchestration (internal) Full access

Read the full file on GitHub · 154 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. 1mo ago First seen · 154 lines · 1,765 tokens per session scan A fe968a667671

Subscribe to this mod's changes

gitlab-mcp copilot-instructions.md is an instructions file published in the GitHub repository zereight/gitlab-mcp (2,047 stars, last pushed today), licensed MIT. It adds 1,765 tokens to every session, about $0.0071 per session on Opus 5.5. 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.

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