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Azure Monitor Opentelemetry Exporter Java

Checked
claudedjale·vlatest·cloud·MIT

Helps with Azure, monitoring, Java as part of deploying and managing cloud infrastructure workflows.

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-monitor-opentelemetry-exporter-java -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 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 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-sdk-java/skills/azure-monitor-opentelemetry-exporter-java/SKILL.md
Scanned
3 files, 514 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, claudedjale-azure-monitor-opentelemetry-exporter-java, enables Java applications to export OpenTelemetry traces and metrics directly to Azure Monitor. It provides a convenient way to instrument your Java code and leverage Azure's monitoring capabilities for observability. This allows you to gain insights into application performance, identify bottlenecks, and troubleshoot issues efficiently within the Azure ecosystem.

When to use it

  • Monitoring Java Microservices: Instrumenting microservices deployed on Azure to track request latency, error rates, and resource consumption.
  • Observability for Existing Applications: Adding observability to legacy Java applications without significant code refactoring.
  • Centralized Monitoring: Consolidating telemetry data from multiple Java applications into a single Azure Monitor instance for comprehensive monitoring.
  • Performance Troubleshooting: Quickly identify performance bottlenecks in Java applications by analyzing traces and metrics collected by Azure Monitor.

Key capabilities

  • Exports OpenTelemetry data to Azure Monitor.
  • Supports both Traces and Metrics.
  • Specifically designed for Java applications.
  • Provides a convenient integration with the OpenTelemetry ecosystem.

Example prompts

  • "Configure my Java application to send traces to Azure Monitor using this skill."
  • "Instrument this Java method to track its execution time and report it as a metric in Azure Monitor."
  • "Set up automatic export of OpenTelemetry metrics from my Java application to Azure Monitor."

Tips & gotchas

  • Ensure you have an Azure subscription and appropriate permissions to configure Azure Monitor.
  • Familiarity with OpenTelemetry concepts (Traces, Metrics) is helpful for effective utilization of this skill.