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.
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.
curl -O https://raw.githubusercontent.com/microsoft/AKS-Lab-GitHubCopilot/main/.github/skills/a2a-loopback-tests/SKILL.mdgit clone --depth 1 https://github.com/microsoft/AKS-Lab-GitHubCopilotWrote 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.
[](https://agentmods.dev/skills/microsoft/aks-lab-githubcopilot/a2a-loopback-tests)<a href="https://agentmods.dev/skills/microsoft/aks-lab-githubcopilot/a2a-loopback-tests"><img src="https://agentmods.dev/badge/skills/microsoft/aks-lab-githubcopilot/a2a-loopback-tests/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.
<a href="https://agentmods.dev/skills/microsoft/aks-lab-githubcopilot/a2a-loopback-tests"><img src="https://agentmods.dev/badge/skills/microsoft/aks-lab-githubcopilot/a2a-loopback-tests.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00645 |
| Opus 5.5 | $0.00000 | $0.00258 |
| Sonnet 5.5 | $0.00000 | $0.00129 |
| Haiku 4.5 | $0.00000 | $0.00064 |
Grade A, and why
a2a-loopback-tests 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.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: A2A Loopback Tests
Use this skill in test-author mode when writing integration tests that exercise multiple agents without Docker.
The fixture
# tests/integration/conftest.py
import httpx
import pytest
from httpx import ASGITransport
from agent_framework.testing import MockChatClient
from src.agents.inventory.server import app as inventory_app
from src.agents.supplier.server import app as supplier_app
# ...orchestrator etc.
@pytest.fixture
async def fleet(monkeypatch):
# 1. Patch GitHubCopilotAgent at every agent's import site so the
# real SDK / bundled Node CLI never starts.
fake = MockChatClient() # exposes async .run(message) -> AgentResponse[None]
for mod in (
"src.agents.inventory.agent",
"src.agents.supplier.agent",
"src.agents.logistics.agent",
"src.agents.pricing.agent",
"src.agents.orchestrator.agent",
):
monkeypatch.setattr(f"{mod}.GitHubCopilotAgent", lambda **_: fake)
# 2. Mount each FastAPI app behind ASGITransport.
clients = {
"inventory": httpx.AsyncClient(transport=ASGITransport(app=inventory_app),
base_url="http://inventory"),
# ... etc
}
yield clients
for c in clients.values():
await c.aclose()
Rules
- Never import
GitHubCopilotAgentdirectly in a test — always patch its import site so the real SDK / Node CLI never runs. - Never start a real network server (no
uvicorn.run). ASGITransport only. - Do not patch
MCPStreamableHTTPTool— it is not used in this repo. MCP wiring lives insideGitHubCopilotOptions(mcp_servers={...}); the agent is already mocked at step 1, so MCP is short-circuited automatically. - Assert structure (
response.json()["tool_calls"]) and keyword presence ("store-101" in response.json()["output"]). No exact string equality. - Mark every test
pytest.mark.asyncio(or rely onasyncio_mode = "auto"inpyproject.toml).
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.
- 2mo ago First seen · 66 lines · 0 tokens per session scan A a62e38630b79
a2a-loopback-tests is a skill published in the GitHub repository microsoft/AKS-Lab-GitHubCopilot (10 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 645 tokens. 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.
a2a-loopback-tests compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| a2a-loopback-testsmicrosoft/AKS-Lab-GitHubCopilot | Skill | 10 | 8d ago | MIT | A | 0 | Claude Code, Codex |
| verify-omnigentomnigent-ai/omnigent | Skill | 11k | yesterday | Apache-2.0 | A | 100 | Claude Code, Codex |
| test-masterJeffallan/claude-skills | Skill | 12k | 7d ago | MIT | A | 104 | Claude Code |
| eval-dataset-designbojieli/ai-agent-book | Skill | 57k | 29d ago | Apache-2.0 | A | 138 | Claude Code, Codex |
| dogfoodcallstack/agent-device | Skill | 5.3k | yesterday | MIT | A | 55 | Claude Code |
| cua-driverdavidondrej/skills | Skill | 4.3k | 3d ago | MIT | A | 68 | Claude Code, Codex |
| test-warp-uiwarpdotdev/warp | Skill | 66k | yesterday | AGPL-3.0 | A | 55 | Claude Code |