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azure-devops

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sanjay3290·v1.0.0·cloud·Apache-2.0

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Install on your platform

Showing OpenClaw.

  1. 1

    Run this in your terminal

    terminal
    $

What we know about this skill

Publisher

sanjay3290

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 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 5 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: advsec.dev.azure.com, almsearch.dev.azure.com, dev.azure.com, login.microsoftonline.com, vssps.dev.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

    vssps.dev.azure.comundeclaredalmsearch.dev.azure.comundeclaredadvsec.dev.azure.comundeclareddev.azure.comundeclaredlogin.microsoftonline.comundeclared

    What it found (3 of 8)

    • skills/azure-devops/scripts/api_client.py:21contacts vssps.dev.azure.com
      return f"https://vssps.dev.azure.com/{org}"
    • skills/azure-devops/scripts/api_client.py:23contacts almsearch.dev.azure.com
      return f"https://almsearch.dev.azure.com/{org}"
    • skills/azure-devops/scripts/api_client.py:25contacts advsec.dev.azure.com
      return f"https://advsec.dev.azure.com/{org}"

  • 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

    • skills/azure-devops/scripts/auth.py:50OS keychain / credential manager
      data_str = keyring.get_password(KEYCHAIN_SERVICE, KEYCHAIN_ACCOUNT)
    • skills/azure-devops/scripts/auth.py:56OS keychain / credential manager
      access_token = keyring.get_password(KEYCHAIN_SERVICE, KEYCHAIN_ACCOUNT_ACCESS_TOKEN)
    • skills/azure-devops/scripts/auth.py:60OS keychain / credential manager
      refresh_token = keyring.get_password(KEYCHAIN_SERVICE, KEYCHAIN_ACCOUNT_REFRESH_TOKEN)

  • 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 sanjay3290/ai-skills at 281d88df19.

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

Commit
281d88df19
Manifest
skills/azure-devops/SKILL.md
Scanned
18 files, 3,524 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, specifically focusing on managing work items. It can create new work items (like tasks and bugs), update existing ones by modifying fields such as state and assigned users, and retrieve information about work items based on specified criteria. The agent utilizes the Azure DevOps REST API for these operations.

When to use it

  • Automate bug reporting: Automatically create a bug in Azure DevOps when an error is detected during automated testing.
  • Task assignment: Assign new tasks generated from project management software directly into Azure DevOps and assign them to specific team members.
  • Work item status updates: Update the state of work items (e.g., "To Do" to "In Progress") based on triggers like code commits or build successes.
  • Progress tracking: Retrieve a list of all tasks assigned to a particular user and their current status for daily stand-up meetings.

Key capabilities

  • Create new work items (Tasks, Bugs, User Stories, etc.)
  • Update existing work item fields (State, Assigned To, Description)
  • Retrieve work item details based on query parameters
  • Uses Azure DevOps REST API

Example prompts

  • "Create a bug in Azure DevOps with the title 'Login button unresponsive' and assign it to John Doe."
  • "Update the state of work item ID 12345 to 'Resolved'."
  • “Find all tasks assigned to Jane Smith that are currently ‘In Progress’.”

Tips & gotchas

  • Requires appropriate Azure DevOps API credentials for authentication. Ensure the AI agent has been granted necessary permissions within your Azure DevOps organization.