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Azure Diagnostics

Official
microsoft·vlatest·cloud

Retrieve detailed Azure resource health, metrics, and logs to troubleshoot issues and optimize performance.

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/github-copilot-for-azure --skill azure-diagnostics --full-depth -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 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 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: app.azurewebsites.net, app.region.azurecontainerapps.io.

    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

    app.azurewebsites.netundeclaredapp.region.azurecontainerapps.ioundeclared

    What it found

    • plugins/azure-skills/skills/azure-diagnostics/references/app-service/README.md:106contacts app.azurewebsites.net
      curl -s -o /dev/null -w "%{http_code}" https://APP.azurewebsites.net/health
    • plugins/azure-skills/skills/azure-diagnostics/references/container-apps/README.md:71contacts app.region.azurecontainerapps.io
      curl https://APP.REGION.azurecontainerapps.io/health
  • 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 microsoft/github-copilot-for-azure at f2526ae581.

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

Scanned
53 files, 4,386 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

The Azure Diagnostics skill enables AI agents to analyze, interpret, and troubleshoot diagnostic data from Microsoft Azure environments. It supports querying logs, monitoring performance metrics, and identifying anomalies in cloud infrastructure.

When to use it

  • To investigate errors or failures in Azure virtual machines or applications
  • For real-time monitoring of resource usage and performance trends
  • When diagnosing issues related to network connectivity or storage performance

Key capabilities

  • Querying Azure Monitor logs for troubleshooting
  • Analyzing metrics from Azure resources like VMs, databases, and apps
  • Generating insights based on diagnostic data for proactive issue resolution

Example prompts

  • "Show me the last 24 hours of error logs from my Azure web app."
  • "Analyze CPU usage trends across all virtual machines in my subscription."
  • "Identify potential bottlenecks in my Azure storage account performance."

Tips & gotchas

  • Ensure your AI agent has access to Azure Monitor and the necessary permissions for log retrieval.
  • Diagnostic data may be limited by retention policies or cost constraints, so review these before querying large datasets.