azure-expert

azure-expert is a skill for Claude Code from personamanagmentlayer/pcl. It costs 33 tokens per session (983 once invoked), scanned A, original, Apache-2.0.

A reference guide for Microsoft Azure, Microsoft's cloud platform. It covers hosted servers, databases, storage, serverless functions, containers, identity, and command-line management.

In plain words
What is it for?
Use it to plan or manage virtual machines, App Services, Azure Functions, Blob or queue storage, Azure SQL, Cosmos DB, Kubernetes clusters, and Azure identity.
Why use it?
It helps you map an application's needs to Azure services and consider how those services fit together.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to plan or manage virtual machines, App Services, Azure Functions, Blob or queue storage, Azure SQL, Cosmos DB, Kubernetes clusters, and Azure identity.

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Install with agentmods
npx agentmods add skills/personamanagmentlayer/pcl/azure-expert
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 personamanagmentlayer/pcl --skill azure-expert
Clone the repo
git clone --depth 1 https://github.com/personamanagmentlayer/pcl

Made for: Claude Code.

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 azure-expert

README.md
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Your own site
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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 azure-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/azure-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/azure-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 983 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00033 $0.00983
Opus 5 $0.00016 $0.00491
Sonnet 5 $0.00007 $0.00197
Haiku 4.5 $0.00003 $0.00098

Measured 5d ago against content hash 042a2ab8e37c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

azure-expert 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 5d 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.

stdlib/cloud/azure-expert/SKILL.md · 177 lines

How it starts

The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Microsoft Azure Expert

Expert guidance for Microsoft Azure cloud platform, services, and cloud-native architecture.

Core Concepts

  • Azure Resource Manager (ARM)
  • Virtual Machines and App Services
  • Azure Functions (serverless)
  • Azure Storage (Blob, Queue, Table)
  • Azure SQL Database
  • Cosmos DB
  • Azure Kubernetes Service (AKS)
  • Azure Active Directory

Azure CLI

# Login
az login

# Create resource group
az group create --name myResourceGroup --location eastus

# Create VM
az vm create \
  --resource-group myResourceGroup \
  --name myVM \
  --image UbuntuLTS \
  --admin-username azureuser \
  --generate-ssh-keys

# Create App Service
az webapp create \
  --resource-group myResourceGroup \
  --plan myAppServicePlan \
  --name myWebApp \
  --runtime "NODE|14-lts"

# Create storage account
az storage account create \
  --name mystorageaccount \
  --resource-group myResourceGroup \
  --location eastus \
  --sku Standard_LRS

Azure Functions

import azure.functions as func
import logging

app = func.FunctionApp()

@app.function_name(name="HttpTrigger")
@app.route(route="hello")
def main(req: func.HttpRequest) -> func.HttpResponse:
    logging.info('Python HTTP trigger function processed a request.')

    name = req.params.get('name')
    if not name:
        try:
            req_body = req.get_json()
            name = req_body.get('name')
        except ValueError:
            pass

    if name:
        return func.HttpResponse(f"Hello, {name}!")
    else:
        return func.HttpResponse(
            "Please pass a name",
            status_code=400
        )

@app.function_name(name="QueueTrigger")
@app.queue_trigger(arg_name="msg", queue_name="myqueue",
                   connection="AzureWebJobsStorage")
def queue_trigger(msg: func.QueueMessage):
    logging.info(f'Python queue trigger function processed: {msg.get_body().decode("utf-8")}')

Cosmos DB

from azure.cosmos import CosmosClient, PartitionKey

endpoint = "https://myaccount.documents.azure.com:443/"
key = "YOUR_KEY"

client = CosmosClient(endpoint, key)
database = client.create_database_if_not_exists(id="myDatabase")
container = database.create_container_if_not_exists(
    id="myContainer",
    partition_key=PartitionKey(path="/userId")
)

# Create item
item = {
    "id": "1",
    "userId": "user123",
    "name": "John Doe"
}
container.create_item(body=item)

# Query items
query = "SELECT * FROM c WHERE c.userId = @userId"
items = container.query_items(
    query=query,
    parameters=[{"name": "@userId", "value": "user123"}],
    enable_cross_partition_query=True
)

for item in items:
    print(item)

Read the full file on GitHub · 177 lines

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. 5d ago Changed · +2 lines · +18 tokens per session 042a2ab8e37c
  2. 10d ago First seen · 175 lines · 15 tokens per session scan A 475e3a55b172

Subscribe to this mod's changes

azure-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed 3d ago), licensed Apache-2.0. It adds 33 tokens to every session and 983 once invoked, about $0.0002 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 2026-08-30.