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.
npx skills add selvarajmurugesan90/ops-engineering-skills --skill azure-landing-zone-setupgit clone --depth 1 https://github.com/selvarajmurugesan90/ops-engineering-skillsWrote 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/selvarajmurugesan90/ops-engineering-skills/azure-landing-zone-setup)<a href="https://agentmods.dev/skills/selvarajmurugesan90/ops-engineering-skills/azure-landing-zone-setup"><img src="https://agentmods.dev/badge/skills/selvarajmurugesan90/ops-engineering-skills/azure-landing-zone-setup/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/selvarajmurugesan90/ops-engineering-skills/azure-landing-zone-setup"><img src="https://agentmods.dev/badge/skills/selvarajmurugesan90/ops-engineering-skills/azure-landing-zone-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 167 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00094 | $0.02604 |
| Opus 5.5 | $0.00038 | $0.01042 |
| Sonnet 5.5 | $0.00019 | $0.00521 |
| Haiku 4.5 | $0.00009 | $0.00260 |
Grade A, and why
azure-landing-zone-setup 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 — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Landing Zone Setup
Purpose
Azure's isolation boundary is the subscription, not the account — and subscriptions default to being cheap and numerous, which is a feature if the tenant has a real Management Group hierarchy and a liability if it doesn't. Without a landing zone, organizations end up with dozens of subscriptions with inconsistent Azure Policy assignments, no shared connectivity hub, and RBAC assigned ad hoc at the resource group level. This skill defines a landing zone aligned to Microsoft's Cloud Adoption Framework (CAF) "enterprise-scale" pattern: a Management Group hierarchy that mirrors organizational/environment boundaries, policy-as-guardrail enforced at scale, and a repeatable subscription vending process — so new teams get compliant subscriptions in hours, not weeks of manual RBAC and policy setup.
When to use
- Standing up a new Azure tenant or restructuring subscriptions under Management Groups for the first time.
- Deciding the Management Group hierarchy and which Azure Policy initiatives apply at which level.
- Onboarding a new subscription for a business unit, product team, or environment (dev/test/prod).
- Migrating from the classic CAF "foundation" template to "enterprise-scale," or from a flat single-subscription tenant.
- Auditing an existing tenant for Azure Policy compliance drift or subscriptions that sit outside any Management Group governance.
Prerequisites & environment
- Global Administrator or at least
Owner/User Access Administratorat the tenant root Management Group to create the Management Group hierarchy. - Azure CLI ≥ 2.60 or Azure PowerShell
Azmodule, and Terraform ≥ 1.5 with theazurermprovider ≥ 3.x if using IaC (theazurermprovider's Management Group and Policy resources changed materially between 2.x and 3.x — do not mix generations of examples). - An Enterprise Agreement (EA), Microsoft Customer Agreement (MCA), or Cloud Solution Provider (CSP) billing relationship — subscription creation mechanics (and who can automate it) differ by agreement type.
- Decide the accelerator: the Azure Landing Zone (ALZ) Bicep/Terraform
modules (
Azure/alz-terraform-accelerator) for enterprise-scale, or a lighter hand-rolled Management Group + Policy setup for smaller estates. Enterprise-scale is the right default above roughly a handful of subscriptions or multiple business units. - Microsoft Entra ID (formerly Azure AD) tenant with groups already modeled for RBAC assignment (don't assign roles to individual users in a landing zone).
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 First seen · 254 lines · 94 tokens per session scan A 009589954733
azure-landing-zone-setup is a skill published in the GitHub repository selvarajmurugesan90/ops-engineering-skills (42 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 94 tokens to every session and 2,604 once invoked, about $0.0004 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.
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