Skip to content
TrustedSkillsbeta
Back to all skills

Azure Diagnostics

Listed
claudedjale·vlatest·cloud·MIT

Analyzes Azure resource health and performance using diagnostics data to identify and resolve potential issues.

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 claudedjale/skillset --skill azure-diagnostics -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

claudedjale

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: 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.region.azurecontainerapps.ioundeclared

    What it found

    • .github/plugins/azure-skills/skills/azure-diagnostics/references/container-apps/README.md:62contacts 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 claudedjale/skillset at 154f146735.

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

Commit
154f146735
Manifest
.github/plugins/azure-skills/skills/azure-diagnostics/SKILL.md
Scanned
4 files, 341 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 provides access to Azure Diagnostics data, enabling you to retrieve and analyze diagnostic information from Azure resources. It allows querying metrics, logs, and events related to your Azure infrastructure. This can be used for troubleshooting issues, monitoring performance, and gaining insights into resource behavior.

When to use it

  • Troubleshooting Application Errors: Investigate the root cause of errors by examining application logs stored in Azure diagnostics.
  • Performance Monitoring: Track key metrics like CPU usage, memory consumption, or network latency for your virtual machines or other resources.
  • Resource Health Checks: Proactively identify potential issues with Azure services by analyzing diagnostic events and alerts.
  • Capacity Planning: Analyze historical resource utilization data to predict future capacity needs.

Key capabilities

  • Accesses Azure Diagnostics data
  • Retrieves metrics, logs, and events
  • Supports querying of Azure resources

Example prompts

  • "Show me the CPU usage for my web server VM over the last hour."
  • "What errors were logged by my application in the past 24 hours?"
  • "Retrieve all diagnostic events related to database connection failures."

Tips & gotchas

  • Requires appropriate Azure permissions to access diagnostics data. Ensure the AI agent has the necessary roles and access policies configured within your Azure subscription.