alz-accelerator

alz-accelerator is a skill for Claude Code, Codex from janegilring/awesome-azure-landing-zones. It costs 213 tokens per session (1,587 once invoked), scanned A, original, MIT.

Instructions for deploying an Azure Landing Zone, a prepared foundation for managing Azure subscriptions, using Microsoft's official ALZ Accelerator. It covers Terraform and Bicep infrastructure-as-code options and the accelerator's deployment stages.

In plain words
What is it for?
Use it to choose an infrastructure-as-code variant, bootstrap repositories and deployment pipelines, deploy platform foundations, customize modules, and plan migration from classic ALZ-Bicep to AVM Bicep.
Why use it?
It helps turn an already-decided Azure architecture into a repeatable deployment and keeps that deployment aligned with updated modules and policies.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to choose an infrastructure-as-code variant, bootstrap repositories and deployment pipelines, deploy platform foundations, customize modules, and plan migration from classic ALZ-Bicep to AVM Bicep.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/janegilring/awesome-azure-landing-zones/alz-accelerator
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add janegilring/awesome-azure-landing-zones --skill alz-accelerator
Clone the repo
git clone --depth 1 https://github.com/janegilring/awesome-azure-landing-zones

Made for: Claude Code, Codex.

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 alz-accelerator

README.md
[![agentmods](https://agentmods.dev/badge/skills/janegilring/awesome-azure-landing-zones/alz-accelerator/github.svg)](https://agentmods.dev/skills/janegilring/awesome-azure-landing-zones/alz-accelerator)
Your own site
<a href="https://agentmods.dev/skills/janegilring/awesome-azure-landing-zones/alz-accelerator"><img src="https://agentmods.dev/badge/skills/janegilring/awesome-azure-landing-zones/alz-accelerator/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 alz-accelerator

Your own site · 80×15
<a href="https://agentmods.dev/skills/janegilring/awesome-azure-landing-zones/alz-accelerator"><img src="https://agentmods.dev/badge/skills/janegilring/awesome-azure-landing-zones/alz-accelerator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 213 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,587 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00213 $0.01587
Opus 5.5 $0.00085 $0.00635
Sonnet 5.5 $0.00043 $0.00317
Haiku 4.5 $0.00021 $0.00159

Measured 2mo ago against content hash 6a79f9cd78aa, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

alz-accelerator 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.

skills/alz-accelerator/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ALZ Accelerator

Overview

The Azure Landing Zones Accelerator turns the conceptual ALZ architecture into a deployable platform: management groups, policies, the platform subscriptions (Connectivity, Identity, Management), and the connectivity foundation, delivered as infrastructure as code. It ships in three IaC flavors — Terraform and Bicep (both on Azure Verified Modules), plus the original ALZ-Bicep "classic" framework. This skill is the implementation layer: it assumes the architecture is already decided (the caf-* design-area skills) and focuses on how to bootstrap and deploy it. Tool-specific detail lives in references/.

When to use this skill

  • Choosing between the Terraform, Bicep (AVM), and Bicep classic accelerators.
  • Running the bootstrap (repos, pipelines, deployment identity) before deploying the platform.
  • Deploying and tailoring the platform / starter modules through the accelerator phases.
  • Planning a migration from ALZ-Bicep classic → Bicep (AVM).
  • Keeping an accelerator deployment up to date with upstream module/AVM/policy releases.

Key concepts

  • IaC variants:
    • terraform — Azure/alz-terraform-accelerator, using AVM for Terraform (the platform landing zone module).
    • bicep — the current Bicep accelerator built on Azure Verified Modules.
    • bicep-classic — the original Azure/ALZ-Bicep framework (still supported; migrate to AVM Bicep when ready).
  • Phases — the accelerator follows a phased path: planning → prerequisites → getting started → deployment. See references/phases.md.
  • Bootstrap — one-time setup of the toolchain (Git repo, CI/CD, service connection, and a least-privilege deployment identity using OIDC/workload identity federation) that precedes platform deployment. See references/bootstrap.md.
  • Starter / platform module — the opinionated module that deploys the management groups, policies, and platform resources; you tailor it to your design.
  • Azure Verified Modules (AVM) — Microsoft-verified building blocks. Reached via the bicep MCP server (list_avm_metadata) and the Terraform Registry; there is no separate AVM server.
  • Azure Landing Zones Library — shared definitions (archetypes, policies) consumed by the accelerators.

Read the full file on GitHub · 109 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 109 lines · 213 tokens per session scan A 6a79f9cd78aa

Subscribe to this mod's changes

alz-accelerator is a skill published in the GitHub repository janegilring/awesome-azure-landing-zones (4 stars, last pushed 4mo ago), licensed MIT. It adds 213 tokens to every session and 1,587 once invoked, about $0.0009 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

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alz-accelerator next to 6 skills from other repositories
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