Skip to content
TrustedSkillsbeta
Back to all skills

Azure Monitor Opentelemetry Exporter Py

Checked
claudedjale·vlatest·cloud·MIT

Helps with Azure, monitoring 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-py -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-python/skills/azure-monitor-opentelemetry-exporter-py/SKILL.md
Scanned
2 files, 387 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-py, enables Python applications to export OpenTelemetry traces and metrics directly to Azure Monitor. It provides a convenient way to instrument your code with OpenTelemetry and leverage Azure's observability platform for monitoring and troubleshooting. This allows you to gain insights into application performance, identify bottlenecks, and proactively address issues.

When to use it

  • Monitoring Python microservices: Instrumenting individual microservices deployed in containers or serverless functions to track their behavior and resource usage.
  • Observability for web applications: Integrating OpenTelemetry data from a Django or Flask application into Azure Monitor dashboards.
  • Troubleshooting performance issues: Correlating traces and metrics within Azure Monitor to pinpoint the root cause of slow response times or errors in your Python application.
  • Centralized monitoring: Consolidating telemetry data from multiple Python applications into a single Azure Monitor instance for comprehensive visibility.

Key capabilities

  • Exports OpenTelemetry data to Azure Monitor.
  • Supports both traces and metrics.
  • Provides a Python package for easy integration.
  • Leverages the OpenTelemetry standard for instrumentation.

Example prompts

  • "Configure this application to export OpenTelemetry traces to Azure Monitor."
  • "Instrument this function with OpenTelemetry and send the data to Azure Monitor."
  • "Show me how to set up the Azure Monitor OpenTelemetry exporter in Python."

Tips & gotchas

  • Requires an Azure subscription and appropriate permissions to access Azure Monitor.
  • Ensure you have correctly configured your Azure Monitor resource and connection string for proper data transmission.