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Azure Devops

Listed
bagelhole·vlatest·cloud·MIT

Helps with Azure, DevOps as part of deploying and managing cloud infrastructure workflows.

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-devops -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 1 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: vstsagentpackage.azureedge.net.

    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

    vstsagentpackage.azureedge.netundeclared

    What it found

    • devops/ci-cd/azure-devops/SKILL.md:383contacts vstsagentpackage.azureedge.net
      curl -o vsts-agent.tar.gz https://vstsagentpackage.azureedge.net/agent/3.227.2/vsts-agent-linux-x64-3.227.2.tar.gz

  • 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 credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • 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 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
devops/ci-cd/azure-devops/SKILL.md
Scanned
1 file, 391 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 Azure DevOps, enabling tasks like retrieving build status, managing work items (tasks, bugs), and querying pipelines. It facilitates automation of DevOps processes by providing a programmatic interface to Azure DevOps resources. The agent can also be used to create new pipelines or modify existing ones.

When to use it

  • Automated Status Checks: Get the current build status for a specific project or pipeline, triggering alerts based on failure or success.
  • Work Item Management: Automatically assign work items based on predefined rules or triage incoming bugs.
  • Pipeline Creation/Modification: Generate basic Azure DevOps pipelines from templates or modify existing ones to incorporate new steps.
  • Release Tracking: Monitor release progress and identify potential bottlenecks in the deployment process.

Key capabilities

  • Retrieve build status
  • Manage work items (tasks, bugs)
  • Query pipelines
  • Create pipelines
  • Modify Pipelines

Example prompts

  • "What is the current status of the 'MyProject' build pipeline?"
  • "Assign this bug to the 'DevOps Team'."
  • "Show me all work items assigned to me."
  • “Can you create a new Azure DevOps pipeline using this YAML?”

Tips & gotchas

  • Requires appropriate permissions within your Azure DevOps organization. The AI agent will need authentication credentials and access rights to perform actions.