Skip to content
TrustedSkillsbeta
Back to all skills

Python Micrometer Metrics Setup

Checked
dawiddutoit·vlatest·backend

Helps with Python, setup and configuration as part of developing backend services and APIs 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 dawiddutoit/custom-claude --skill python-micrometer-metrics-setup -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

dawiddutoit

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 dawiddutoit/custom-claude at 17b45a90a6.

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

Commit
17b45a90a6
Manifest
skills/python-micrometer-metrics-setup/SKILL.md
Scanned
1 file, 678 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 automates the setup of Micrometer metrics collection in Python applications. It configures a Prometheus client, registers a meter and counter, and ensures proper metric reporting. This allows for easy monitoring and performance analysis of your application's behavior.

When to use it

  • Monitoring API Performance: Track response times and error rates for critical API endpoints.
  • Tracking Background Jobs: Measure the duration and frequency of asynchronous tasks.
  • Resource Usage Analysis: Monitor CPU usage, memory consumption, or other resource metrics within your application.
  • Debugging Slow Operations: Identify bottlenecks by tracking specific operations' execution times.

Key capabilities

  • Prometheus client configuration
  • Meter registration for measuring cumulative values
  • Counter registration for tracking event occurrences
  • Metric reporting

Example prompts

  • "Set up Micrometer metrics to track the duration of my API endpoint /users."
  • "Configure a counter to measure the number of successful database connections."
  • "Initialize Micrometer and register a meter named 'queue_size'."

Tips & gotchas

This skill requires a Prometheus server to be accessible for metric reporting. Ensure your application has network access to the Prometheus endpoint during setup.