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Azure Vms

Listed
bagelhole·vlatest·cloud·MIT

Manage Azure Virtual Machines: start, stop, list, and retrieve details about your VMs using natural language commands.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add bagelhole/devops-security-agent-skills --skill azure-vms -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

bagelhole

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 3 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: aka.ms.

    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

    aka.msundeclared

    What it found

    • infrastructure/cloud-azure/azure-vms/SKILL.md:26contacts aka.ms
      curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash

  • No credential access: failed

    Touches credential material in 3 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

    • infrastructure/cloud-azure/azure-vms/SKILL.md:395SSH private keys or config
      public_key = file("~/.ssh/id_rsa.pub")
    • infrastructure/cloud-azure/azure-vms/SKILL.md:447SSH private keys or config
      public_key = file("~/.ssh/id_rsa.pub")
    • infrastructure/cloud-azure/azure-vms/references/vm-operations.md:80SSH private keys or config
      public_key = file("~/.ssh/id_rsa.pub")

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 1 place.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • infrastructure/cloud-azure/azure-vms/SKILL.md:26remote script piped into a shell
      curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash

  • 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.

  • Pinned to a commit: passed

    Scanned bagelhole/devops-security-agent-skills at 0365f57a07.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
0365f57a07
Manifest
infrastructure/cloud-azure/azure-vms/SKILL.md
Scanned
2 files, 576 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows AI agents to interact with and manage Azure Virtual Machines (VMs). It can retrieve information about existing VMs, start or stop them, and potentially perform other management tasks. The agent can leverage this skill for automating routine VM operations and providing insights into their status.

When to use it

  • Troubleshooting: Quickly check the status of a specific Azure VM to diagnose performance issues or errors.
  • Scheduled Maintenance: Automatically start and stop VMs based on predefined schedules, optimizing resource usage and costs.
  • Resource Monitoring: Gather information about VM CPU utilization, memory consumption, and other metrics for reporting and analysis.
  • Automated Deployment: Integrate with deployment pipelines to manage the lifecycle of VMs as part of application deployments.

Key capabilities

  • Retrieve Azure VM details (status, size, location)
  • Start/Stop Azure VMs
  • Potentially perform other management tasks (not explicitly listed in source)

Example prompts

  • "What is the status of my webserver-vm?"
  • "Please stop the database-vm at 6 PM EST."
  • "Show me a list of all running VMs in the 'eastus' region."

Tips & gotchas

Requires appropriate Azure credentials and permissions for the AI agent to access and manage virtual machines. The specific actions available may be limited by the configured role assignments within your Azure environment.