Skip to content
TrustedSkillsbeta
Back to all skills

Prometheus Configuration

Checked
wshobson·vlatest·devops·MIT

Automates Prometheus configuration updates via templating, streamlining deployments and ensuring consistent monitoring setups.

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 wshobson/agents --skill prometheus-configuration -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

wshobson

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 wshobson/agents at 46891e7e60.

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

Commit
46891e7e60
Manifest
plugins/observability-monitoring/skills/prometheus-configuration/SKILL.md
Scanned
2 files, 365 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

The prometheus-configuration skill enables AI agents to generate and manage Prometheus configuration files, such as prometheus.yml, which define scrape targets, alerting rules, and global settings. It supports creating configurations tailored to specific monitoring needs, including multi-target setups and custom metrics.

When to use it

  • You need to set up a new Prometheus instance with multiple scrape targets.
  • You want to automate the generation of alerting rules based on predefined thresholds.
  • Your infrastructure requires dynamic configuration updates without manual editing.
  • You are integrating Prometheus into a CI/CD pipeline for automated monitoring setup.

Key capabilities

  • Generate prometheus.yml files with custom scrape configurations.
  • Define and manage alerting rules using user-specified metrics and thresholds.
  • Support for multiple targets, including static and dynamic discovery methods.
  • Integration with external configuration templates or existing setups.

Example prompts

  • "Generate a Prometheus config file to monitor http://example.com:9090 and http://metrics.example.net:8080."
  • "Create alerting rules that trigger if CPU usage exceeds 85% for more than 5 minutes."
  • "Write a Prometheus configuration with scrape intervals set to every 30 seconds."

Tips & gotchas

  • Ensure the AI agent has access to accurate endpoint URLs and authentication details when generating configurations.
  • Validate generated files using Prometheus' built-in tools or linters before deployment.