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Azure Monitor Opentelemetry Py

Listed
sickn33·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 sickn33/agentic-awesome-skills --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

sickn33

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.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Commit
5a4cdd9df8
Manifest
skills/azure-monitor-opentelemetry-py/SKILL.md
Scanned
0 files
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 Python applications to automatically export OpenTelemetry traces and metrics to Azure Monitor. It simplifies the instrumentation process by handling the complexities of data formatting and transmission, allowing developers to focus on application logic rather than monitoring infrastructure. The skill provides a convenient way to gain observability into your Python applications running in various environments.

When to use it

  • Monitoring microservices: Instrument individual microservices with OpenTelemetry and send telemetry data to Azure Monitor for centralized visibility.
  • Debugging performance issues: Capture detailed traces of application execution to pinpoint bottlenecks and optimize performance.
  • Tracking custom metrics: Define and export application-specific metrics to monitor key business indicators in Azure Monitor.
  • Observability in development environments: Easily collect telemetry data during local development for quicker debugging cycles.

Key capabilities

  • OpenTelemetry trace and metric export to Azure Monitor
  • Automatic instrumentation of Python applications
  • Simplified configuration via environment variables
  • Support for various OpenTelemetry SDKs

Example prompts

  • "Configure the skill to send traces to my Azure Monitor workspace."
  • "What environment variables are required to use this skill?"
  • "How do I define custom metrics using this skill?"

Tips & gotchas

  • Requires an active Azure subscription and a configured Azure Monitor workspace.
  • Ensure that the OpenTelemetry SDK is properly initialized within your Python application before utilizing this skill.