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Azure Pipelines

Official
microsoft·vlatest·cloud·MIT

Automates Azure DevOps pipelines creation, modification, and execution using natural language instructions.

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 microsoft/vscode --skill azure-pipelines -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

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.

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 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 3 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: aka.ms, dev.azure.com, docs.microsoft.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

    aka.msundeclareddev.azure.comundeclareddocs.microsoft.comundeclared

    What it found

    • .github/skills/azure-pipelines/SKILL.md:26contacts aka.ms
      curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash
    • .github/skills/azure-pipelines/azure-pipeline.ts:31contacts dev.azure.com
      const ORGANIZATION = 'https://dev.azure.com/monacotools';
    • .github/skills/azure-pipelines/azure-pipeline.ts:238contacts docs.microsoft.com
      console.log('Install it with: brew install azure-cli (macOS) or see https://docs.microsoft.com/en-us/cli/azure/install-azure-cli');

  • 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

    • .github/skills/azure-pipelines/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.

  • 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.

  • Pinned to a commit: passed

    Scanned microsoft/vscode at a37ac69a11.

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

Commit
a37ac69a11
Manifest
.github/skills/azure-pipelines/SKILL.md
Scanned
2 files, 2,173 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 enables AI agents to interact with Azure Pipelines, Microsoft’s leading CI/CD platform, to automate software delivery workflows. It allows agents to trigger builds, manage release pipelines, and monitor deployment statuses directly within the Azure cloud ecosystem.

When to use it

  • Automating build and test execution for .NET, Java, or Node.js projects hosted on Azure DevOps.
  • Triggering release pipelines upon successful code merges to streamline software delivery.
  • Monitoring pipeline health and retrieving status updates without manual dashboard checks.
  • Integrating CI/CD workflows into broader DevOps automation strategies for enterprise applications.

Key capabilities

  • Trigger builds and release pipelines programmatically via Azure Pipelines API.
  • Monitor pipeline execution status and retrieve detailed build logs.
  • Manage pipeline definitions and configurations within the Azure cloud environment.
  • Automate deployment processes across multiple environments (e.g., dev, staging, prod).

Example prompts

  • "Trigger a new build in my Azure Pipelines project for the latest commit on the main branch."
  • "Check the status of all active release pipelines and summarize any failed deployments."
  • "Create a new pipeline definition to deploy my Node.js application to an Azure Web App."

Tips & gotchas

Ensure your AI agent has proper authentication credentials (e.g., Personal Access Tokens) with sufficient permissions to interact with Azure Pipelines. Avoid using this skill for sensitive operations like production deployments without explicit human approval workflows.