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Azure Observability

Checked
tyler-r-kendrick·vlatest·cloud·MIT

Analyzes Azure observability data (logs, metrics, traces) to identify performance bottlenecks and security risks.

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 tyler-r-kendrick/agent-skills --skill azure-observability -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

tyler-r-kendrick

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 undeclared network calls: passed

    Makes no network calls.

    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.

  • 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 tyler-r-kendrick/agent-skills at b6b5c287c7.

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

Commit
b6b5c287c7
Manifest
.agent/skills/azure-observability/SKILL.md
Scanned
3 files, 279 lines
Copies in repo
3 — all of them scanned
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 Observability services. It allows querying and analyzing data from Application Insights, Log Analytics Workspace, and other related Azure monitoring tools. The agent can retrieve metrics, logs, and traces to provide insights into application performance and system health.

When to use it

  • Troubleshooting a production issue: Use the skill to quickly identify error rates or latency spikes in an application.
  • Analyzing resource utilization: Determine if your Azure resources are being over or underutilized based on collected metrics.
  • Creating custom dashboards: Generate visualizations and reports from Azure observability data for stakeholders.
  • Proactive performance monitoring: Set up alerts and automated responses to potential issues detected through log analysis.

Key capabilities

  • Application Insights integration
  • Log Analytics Workspace access
  • Metric retrieval
  • Trace analysis

Example prompts

  • "Show me the average response time for my web application over the last hour."
  • "What are the top 5 error messages in my Application Insights logs today?"
  • "Create a dashboard visualizing CPU usage across all VMs in my Log Analytics Workspace."

Tips & gotchas

  • Requires appropriate Azure permissions to access observability data. Ensure the AI agent has been granted necessary roles and access keys.