Borrowing it
Nothing to install: this file belongs to janegilring/awesome-azure-landing-zones. 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/janegilring/awesome-azure-landing-zones/main/AGENTS.mdgit clone --depth 1 https://github.com/janegilring/awesome-azure-landing-zonesWrote 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/janegilring/awesome-azure-landing-zones/agents-md)<a href="https://agentmods.dev/instructions/janegilring/awesome-azure-landing-zones/agents-md"><img src="https://agentmods.dev/badge/instructions/janegilring/awesome-azure-landing-zones/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/janegilring/awesome-azure-landing-zones/agents-md"><img src="https://agentmods.dev/badge/instructions/janegilring/awesome-azure-landing-zones/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 | $0.02347 | $0.02347 |
| Opus 5 | $0.01174 | $0.01174 |
| Sonnet 5 | $0.00469 | $0.00469 |
| Haiku 4.5 | $0.00235 | $0.00235 |
Grade A, and why
awesome-azure-landing-zones 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 11d 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Awesome Azure Landing Zones
This repository is a library of AI Skills and Agents for Microsoft Cloud Adoption Framework (CAF) and Azure Landing Zones (ALZ). It gives AI coding agents reusable, grounded domain knowledge for designing, deploying, governing, and operating Azure landing zones.
All artifacts in this repository are authored in English.
Repository layout
| Path | Purpose |
|---|---|
skills/ |
One folder per skill. Each contains a SKILL.md and an optional references/ folder for deep-dive content. |
agents/ |
One *.agent.md per specialized agent persona. |
docs/ |
Index tables: README.skills.md and README.agents.md. End-to-end scenarios.md. |
skills/_shared/ |
Shared references used by multiple skills (e.g. the curated CAF link catalog). |
.vscode/mcp.json |
MCP server configuration that gives the agents live tools (Azure, Terraform, Bicep, draw.io, docs). |
CONTRIBUTING.md |
Authoring conventions for skills and agents. |
plugin.json |
Copilot CLI plugin manifest: makes the whole repo installable as one plugin. |
.github/plugin/marketplace.json |
Marketplace manifest: publishes the plugin for copilot plugin marketplace add + install by name. |
README.md |
Human-facing overview and install instructions (Copilot CLI plugin / marketplace). |
docs/resources.md |
Curated aka.ms link catalog and other useful resources. |
What is a skill vs. an agent?
- Skill (
skills/<name>/SKILL.md) — packaged, on-demand domain knowledge for one topic. Loaded into context only when its triggers match. Design-area skills are IaC-agnostic (conceptual CAF guidance); only the ALZ Accelerator skill splits Bicep vs Terraform. - Agent (
agents/<name>.agent.md) — a persona with a scope, a workflow, and a set of linked skills it relies on. Use agents to frame multi-step engagements (architecture, migration, governance, networking, vending, accelerator deployment).
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.
- 11d ago First seen · 133 lines · 2,347 tokens per session scan A 15555f655ab4
awesome-azure-landing-zones AGENTS.md is an instructions file published in the GitHub repository janegilring/awesome-azure-landing-zones (3 stars, last pushed 2mo ago), licensed MIT. It adds 2,347 tokens to every session, about $0.0117 per session on Opus 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.
Other instructions, from other repositories
plan-forge naming.instructions.md
Azure naming conventions — Microsoft CAF abbreviations, constraints, uniqueness, tagging.
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.