multi-agent-collaboration-system: Instructions file for GitHub Copilot

.github/copilot-instructions.md

multi-agent-collaboration-system copilot-instructions.md is an instructions file for GitHub Copilot from lxyer/multi-agent-collaboration-system. It costs 31 tokens per session, scanned A, original, MIT.

Project instructions for a multi-agent collaboration system, including rules for task management and stored project memory.

In plain words
What is it for?
Use them when working in that project, following its root-level CLAUDE.md rules, its ./m task tool, and its .agent-memory directory.
Why use it?
They give coding agents shared procedures and a place to retain project context across work.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file. Also seen: mentions CLAUDE.md.

This is lxyer/multi-agent-collaboration-system's own configuration. It tells GitHub Copilot how to work on multi-agent-collaboration-system 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 multi-agent-collaboration-system configures →

Reuse

Borrowing it

Nothing to install: this file belongs to lxyer/multi-agent-collaboration-system. 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/lxyer/multi-agent-collaboration-system/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/lxyer/multi-agent-collaboration-system

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 multi-agent-collaboration-system copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/lxyer/multi-agent-collaboration-system/copilot-instructions/github.svg)](https://agentmods.dev/instructions/lxyer/multi-agent-collaboration-system/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/lxyer/multi-agent-collaboration-system/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/lxyer/multi-agent-collaboration-system/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 multi-agent-collaboration-system copilot-instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/lxyer/multi-agent-collaboration-system/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/lxyer/multi-agent-collaboration-system/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 This file is loaded in full into every session.
When invoked 31 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 $0.00031 $0.00031
Opus 5.5 $0.00012 $0.00012
Sonnet 5.5 $0.00006 $0.00006
Haiku 4.5 $0.00003 $0.00003

Measured 1mo ago against content hash 0e105900d23d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

multi-agent-collaboration-system 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.

.github/copilot-instructions.md · 4 lines

What it actually says

遵循项目根目录 CLAUDE.md 中的开发协议。 任务管理: ./m 项目记忆: .agent-memory/ 目录

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 · 4 lines · 31 tokens per session scan A 0e105900d23d

Subscribe to this mod's changes

multi-agent-collaboration-system copilot-instructions.md is an instructions file published in the GitHub repository lxyer/multi-agent-collaboration-system (1 stars, last pushed 6mo ago), licensed MIT. It adds 31 tokens to every session, about $0.0001 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 2026-08-31.

Related

Other instructions, from other repositories