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Azure Monitor Opentelemetry 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-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-py/SKILL.md
Scanned
2 files, 348 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.
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About this skill

What it does

This skill enables AI agents to instrument Python applications and send telemetry data to Azure Monitor using the OpenTelemetry protocol. It facilitates comprehensive application performance monitoring, including metrics, logs, and traces. This allows for detailed insights into application behavior and identification of potential issues.

When to use it

  • Troubleshooting Performance Issues: Identify bottlenecks in a Python application by analyzing collected metrics and traces within Azure Monitor.
  • Monitoring Application Health: Proactively track key performance indicators (KPIs) like request latency, error rates, and resource utilization.
  • Debugging Distributed Systems: Correlate events across multiple services to understand the flow of requests and pinpoint the root cause of errors in complex architectures.
  • Observability for Cloud-Native Apps: Integrate telemetry data from Python applications into a centralized Azure Monitor environment for comprehensive cloud observability.

Key capabilities

  • OpenTelemetry integration for Python
  • Sending telemetry data (metrics, logs, traces) to Azure Monitor
  • Application performance monitoring
  • Comprehensive application insights

Example prompts

  • "Instrument this Python script with OpenTelemetry and send the metrics to Azure Monitor."
  • "Show me the error rates for my API endpoint in Azure Monitor using OpenTelemetry data."
  • "Generate a trace showing the request flow for order processing, using OpenTelemetry instrumentation."

Tips & gotchas

  • Requires an active Azure subscription and appropriate permissions to configure Azure Monitor.
  • Ensure the OpenTelemetry SDK is correctly configured within your Python application before utilizing this skill.