Azure Compute Skill
OfficialManage Azure virtual machines, scale sets, and related compute resources programmatically through Microsoft's azure-compute skill.
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/github-copilot-for-azure --skill azure-compute --full-depth -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 8)
- 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… - 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=$filter" - plugins/azure-skills/skills/azure-compute/references/retail-prices-api.md:43contacts prices.azure.com
curl -s "https://prices.azure.com/api/retail/prices?\$filter=serviceName%20eq%20'Virtual%20Machines'%20and%20armRegionName%20eq%20'eastus'%20and%20contains(arm…
No credential access: failed
Touches credential material in 11 places.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
What it found (3 of 11)
- plugins/azure-skills/skills/azure-compute/workflows/vm-creator/examples/bicep/README.md:16SSH private keys or config
--parameters vmName={vmName} adminUsername={adminUsername} adminPublicKey="$(cat ~/.ssh/id_rsa.pub)" - plugins/azure-skills/skills/azure-compute/workflows/vm-creator/examples/bicep/README.md:21SSH private keys or config
--parameters vmName={vmName} adminUsername={adminUsername} adminPublicKey="$(cat ~/.ssh/id_rsa.pub)" - plugins/azure-skills/skills/azure-compute/workflows/vm-creator/examples/terraform/README.md:16SSH private keys or config
terraform plan -var "vm_name=dev-vm" -var "admin_public_key=$(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/github-copilot-for-azure at f2526ae581.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- f2526ae581
- Scanned
- 38 files, 2,326 lines
About this skill
What it does
The azure-compute skill enables AI agents to manage and interact with Azure Compute resources, such as virtual machines (VMs), scale sets, and containers. It provides capabilities for provisioning, configuring, and monitoring compute instances within the Microsoft Azure cloud platform.
When to use it
- Automating the deployment of new virtual machines in Azure for development or production environments.
- Scaling compute resources dynamically based on workload demands using Azure Scale Sets.
- Managing containerized applications with Azure Kubernetes Service (AKS) or Azure Container Instances.
Key capabilities
- Provision and manage Azure Virtual Machines
- Configure and monitor Azure Compute Scale Sets
- Deploy and manage containers in Azure
Example prompts
- "Create a new virtual machine in Azure with Ubuntu OS and 4GB RAM."
- "Scale up the compute resources of my web application using Azure Scale Sets."
- "Deploy a containerized app to Azure Container Instances."
Tips & gotchas
- Ensure you have appropriate Azure credentials and permissions before deploying or managing resources.
- Be mindful of costs, as provisioning and running compute instances can incur charges based on usage.