Azure Compute
OfficialManage Azure virtual machines, scale sets, and container instances to optimize compute resources and costs.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add microsoft/azure-skills --skill azure-compute -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
microsoft
Matched to the vendor's own GitHub organisation.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 2 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: prices.azure.com.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
prices.azure.comundeclaredWhat it found (3 of 16)
- .github/plugins/azure-skills/skills/azure-compute/references/retail-prices-api.md:27contacts prices.azure.com
curl -s "https://prices.azure.com/api/retail/prices?\$filter=serviceName%20eq%20'Virtual%20Machines'%20and%20armRegionName%20eq%20'eastus'%20and%20armSkuName%2… - .github/plugins/azure-skills/skills/azure-compute/references/retail-prices-api.md:32contacts prices.azure.com
$response = Invoke-RestMethod "https://prices.azure.com/api/retail/prices?`$filter=$filter" - .github/plugins/azure-skills/skills/azure-compute/references/retail-prices-api.md:43contacts prices.azure.com
curl -s "https://prices.azure.com/api/retail/prices?\$filter=serviceName%20eq%20'Virtual%20Machines'%20and%20armRegionName%20eq%20'eastus'%20and%20contains(arm…
No credential access: failed
Touches credential material in 16 places.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
What it found (3 of 16)
- .github/plugins/azure-skills/skills/azure-compute/workflows/vm-creator/examples/bicep/README.md:16SSH private keys or config
--parameters vmName={vmName} adminUsername={adminUsername} adminPublicKey="$(cat ~/.ssh/id_rsa.pub)" - .github/plugins/azure-skills/skills/azure-compute/workflows/vm-creator/examples/bicep/README.md:21SSH private keys or config
--parameters vmName={vmName} adminUsername={adminUsername} adminPublicKey="$(cat ~/.ssh/id_rsa.pub)" - .github/plugins/azure-skills/skills/azure-compute/workflows/vm-creator/examples/terraform/README.md:16SSH private keys or config
terraform plan -var "vm_name=dev-vm" -var "admin_public_key=$(cat ~/.ssh/id_rsa.pub)" -var "subscription_id=$AZ_SUB" -var "resource_group_name=dev-vm-rg" -var…
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned microsoft/azure-skills at 9bb168c343.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 9bb168c343
- Manifest
- skills/azure-compute/SKILL.md
- Scanned
- 60 files, 3,898 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
The Microsoft Azure Compute skill enables AI agents to manage and interact with compute resources on Microsoft Azure, such as virtual machines, containers, and serverless functions. It provides capabilities like provisioning, scaling, and monitoring of cloud-based workloads.
When to use it
- Deploy new virtual machines or scale existing ones based on demand.
- Automate container orchestration using Azure Kubernetes Service (AKS).
- Monitor compute resource usage and optimize costs in real time.
- Set up serverless functions for event-driven computing tasks.
Key capabilities
- Provision and manage Azure Virtual Machines
- Deploy and manage containers with Azure Container Instances or AKS
- Configure and monitor Azure Functions for serverless computing
- Scale compute resources automatically based on workload
Example prompts
- "Provision a new Ubuntu virtual machine in the East US region."
- "Deploy a containerized application to Azure Kubernetes Service."
- "Monitor CPU usage of all running Azure functions and alert if it exceeds 80%."
Tips & gotchas
Ensure you have appropriate Azure credentials and permissions before using this skill. Resource costs can add up quickly, so always monitor usage and set budget alerts.