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AKS-Lab-GitHubCopilot: Instructions file for GitHub Copilot

.github/copilot-instructions.md

AKS-Lab-GitHubCopilot copilot-instructions.md is an instructions file for GitHub Copilot from microsoft/AKS-Lab-GitHubCopilot. It costs 698 tokens per session, scanned A, original, MIT.

A set of GitHub Copilot instructions for the ZavaShop retail supply-chain demo, which runs multiple AI agents and services on Azure. It defines coding rules, agent structure, testing tools, and how agents connect to MCP servers.

In plain words
What is it for?
Creating or modifying ZavaShop agents and infrastructure using async Python, Pydantic models, structured logging, Azure authentication, and the repository's Copilot SDK setup.
Why use it?
It keeps generated code aligned with the repository's Python version, libraries, data contracts, authentication, and service boundaries.

Instructions file for GitHub Copilot ✓ vendor

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

This is microsoft/AKS-Lab-GitHubCopilot's own configuration. It tells GitHub Copilot how to work on AKS-Lab-GitHubCopilot 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 AKS-Lab-GitHubCopilot configures →

not rated 10repo 8d ago A scan 698 tokens original MIT
View source ↗ microsoft/AKS-Lab-GitHubCopilot
About the project

ZavaShop on AKS and Azure Container Apps is a hands-on lab for delivering a multi-agent retail supply-chain application from requirements through deployment. It demonstrates a team of six GitHub Copilot custom coding agents working across specifications, application code, MCP servers, tests, infrastructure, and CI. The catalogue entries define the agents, skills, and instructions used in that workflow.

microsoft/AKS-Lab-GitHubCopilot · 10 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to microsoft/AKS-Lab-GitHubCopilot. 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/microsoft/AKS-Lab-GitHubCopilot/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/microsoft/AKS-Lab-GitHubCopilot

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 AKS-Lab-GitHubCopilot copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/microsoft/aks-lab-githubcopilot/copilot-instructions/github.svg)](https://agentmods.dev/instructions/microsoft/aks-lab-githubcopilot/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/microsoft/aks-lab-githubcopilot/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/microsoft/aks-lab-githubcopilot/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 AKS-Lab-GitHubCopilot copilot-instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/microsoft/aks-lab-githubcopilot/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/microsoft/aks-lab-githubcopilot/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 698 This file is loaded in full into every session.
When invoked 698 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 $0.00698 $0.00698
Opus 5.5 $0.00279 $0.00279
Sonnet 5.5 $0.00140 $0.00140
Haiku 4.5 $0.00070 $0.00070

Measured 2mo ago against content hash f1e77cdf5f22, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

AKS-Lab-GitHubCopilot 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 2mo 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 · 46 lines

How it starts

The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Copilot — always-on instructions

You are assisting on ZavaShop, a multi-agent retail supply-chain demo deployed to AKS + Azure Container Apps, written in Python 3.11+ with Microsoft Agent Framework and the GitHub Copilot SDK.

Before generating code, read AGENTS.md at the repo root. It is the source of truth.

Hard rules

  1. Python 3.11+, fully typed, async-first. No blocking I/O inside coroutines.
  2. Use uv for dependency management, ruff for lint/format, pyright --strict for types, pytest for tests.
  3. Use structlog for logging — never print.
  4. Data crossing a process boundary → pydantic.BaseModel.
  5. Agent folder layout: agent.py, tools.py, prompts.py, server.py, tests/.
  6. All agents use GitHubCopilotAgent from agent_framework.github with client=build_copilot_client() and GitHubCopilotOptions(model="gpt-5.5", timeout=settings.copilot_timeout_seconds, on_permission_request=_approve_all, mcp_servers={...}). Never import GitHubCopilotChatClient, ChatAgent, or MCPStreamableHTTPTool — they do not exist in this repo's agent-framework version.
  7. External I/O lives in MCP servers, not agent code.
  8. Azure auth = Workload Identity + DefaultAzureCredential. Copilot auth = Key Vault GITHUB-TOKEN projected as GITHUB_TOKEN and passed explicitly by build_copilot_client(); never commit token values.
  9. K8s/ACA images are tagged with the git SHA, never :latest.

Style cues

  • Prefer match over chains of isinstance.
  • Use Self from typing, | unions, list[T] not List[T].
  • Pydantic v2 (model_config = ConfigDict(frozen=True)).
  • Imports: stdlib → third-party → first-party, separated by blank lines.

When generating an agent

Always include:

  • SYSTEM_PROMPT constant in prompts.py — terse, role-scoped, with explicit refusal rules.
  • A build_agent() factory in agent.py returning the shared _RunnableAgent adapter.
  • A FastAPI app in server.py with /healthz, /readyz, /invoke.
  • A Dockerfile based on python:3.11-slim with non-root user, multi-stage build.
  • A test file mocking the model with MockChatClient.

Read the full file on GitHub · 46 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. 2mo ago First seen · 46 lines · 698 tokens per session scan A f1e77cdf5f22

Subscribe to this mod's changes

AKS-Lab-GitHubCopilot copilot-instructions.md is an instructions file published in the GitHub repository microsoft/AKS-Lab-GitHubCopilot (10 stars, last pushed 8d ago), licensed MIT. It adds 698 tokens to every session, about $0.0028 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.

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