Borrowing it
Nothing to install: this file belongs to Azure-Samples/agent-architecture-review-sample. 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/Azure-Samples/agent-architecture-review-sample/main/AGENTS.mdgit clone --depth 1 https://github.com/Azure-Samples/agent-architecture-review-sampleWrote 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/instructions/azure-samples/agent-architecture-review-sample/agents-md)<a href="https://agentmods.dev/instructions/azure-samples/agent-architecture-review-sample/agents-md"><img src="https://agentmods.dev/badge/instructions/azure-samples/agent-architecture-review-sample/agents-md/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/instructions/azure-samples/agent-architecture-review-sample/agents-md"><img src="https://agentmods.dev/badge/instructions/azure-samples/agent-architecture-review-sample/agents-md.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 | $0.02993 | $0.02993 |
| Opus 5.5 | $0.01197 | $0.01197 |
| Sonnet 5.5 | $0.00599 | $0.00599 |
| Haiku 4.5 | $0.00299 | $0.00299 |
Grade A, and why
agent-architecture-review-sample AGENTS.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.
How it starts
The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agents Guide — Architecture Review Agent Sample
This file helps AI coding agents (GitHub Copilot, Copilot Workspace, Codespaces agents, etc.) understand and work effectively with this repository.
Repository Purpose
This is an AI-powered Architecture Review Agent that analyses software architecture descriptions and generates interactive diagrams. It accepts any input format (YAML, Markdown, plaintext, code, design docs, prose) and returns structured risk assessments, Excalidraw diagrams, PNG exports, and actionable recommendations.
Project Structure
agent-architecture-review-sample/
├── main.py # Hosted agent entry point (Microsoft Agent Framework / Foundry)
├── api.py # FastAPI backend (REST API for the web UI)
├── tools.py # Core engine — all tool logic (parser, risk detector, diagram renderer, MCP client, PNG export)
├── run_local.py # CLI runner for local testing (no Azure required for structured inputs)
├── agent.yaml # Foundry hosted agent deployment manifest
├── requirements.txt # Python dependencies (pinned versions)
├── pyproject.toml # Pytest configuration
├── Dockerfile # Container for hosted agent deployment
├── Dockerfile.web # Container for web app deployment (FastAPI + React)
├── docs/deployment.md # Step-by-step deployment & RBAC guide
├── frontend/ # React UI (Vite + Excalidraw)
│ ├── src/App.jsx # Main React app with input, tabs, results
│ ├── src/api.js # API client — calls FastAPI backend
│ └── src/components/ # Summary, RiskTable, ComponentMap, DiagramViewer, Recommendations
├── scenarios/ # Pre-built demo architecture files (YAML, Markdown)
├── tests/ # Pytest test suite
│ ├── conftest.py # Shared fixtures (sample components, connections)
│ ├── test_tools.py # Unit tests for tools.py functions
│ ├── test_api.py # FastAPI endpoint tests
│ └── test_integration.py # Integration tests
├── scripts/ # Automation scripts
│ ├── windows/ # PowerShell: setup.ps1, dev.ps1, deploy-webapp.ps1, teardown.ps1
│ └── linux-mac/ # Bash: setup.sh, dev.sh, deploy-webapp.sh, teardown.sh
└── output/ # Generated outputs (auto-created): .excalidraw, .png, .json
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.
- 1mo ago Changed · +18 tokens per session bc8c0bf37a31
- 2mo ago First seen · 272 lines · 2,975 tokens per session scan A c6aa06171556
agent-architecture-review-sample AGENTS.md is an instructions file published in the GitHub repository Azure-Samples/agent-architecture-review-sample (111 stars, last pushed 12d ago), licensed MIT. It adds 2,993 tokens to every session, about $0.0120 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.
agent-architecture-review-sample AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agent-architecture-review-sample AGENTS.mdAzure-Samples/agent-architecture-review-sample | Instructions file | 111 | 12d ago | MIT | A | 2,993 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |