Skip to content
TrustedSkillsbeta
Back to all skills

Prometheus

Checked
ionfury·vlatest·devops·WTFPL

Prometheus monitors your conversations, analyzing sentiment & key topics to provide insights and improve chatbot performance over time.

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 ionfury/homelab --skill prometheus -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

ionfury

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 ionfury/homelab at 059c09aa25.

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

Commit
059c09aa25
Manifest
.claude/skills/prometheus/SKILL.md
Scanned
4 files, 742 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 enables AI agents to interact with Prometheus, a powerful open-source monitoring and alerting toolkit. It allows the agent to query time-series data, retrieve metrics from targets, and manage recording rules within a homelab environment.

When to use it

  • You need to analyze real-time server performance metrics like CPU usage or memory consumption.
  • Your AI agent must trigger alerts based on specific threshold breaches in your infrastructure.
  • You want to visualize historical data trends for capacity planning in a self-hosted setup.
  • The agent needs to execute PromQL queries to filter and aggregate complex metric datasets.

Key capabilities

  • Querying time-series data using PromQL syntax.
  • Retrieving metrics from various monitoring targets.
  • Managing recording rules for efficient data aggregation.
  • Integrating with the Prometheus ecosystem in homelab configurations.

Example prompts

  • "Query the current CPU usage percentage for all nodes in my cluster over the last 5 minutes."
  • "Create a recording rule that calculates the average memory utilization across all web servers."
  • "Alert me if any target's disk space drops below 10% within the next hour based on current trends."

Tips & gotchas

Ensure your Prometheus instance is properly exposed and accessible to the AI agent before attempting queries. Complex PromQL expressions may require precise syntax; test them in a sandbox environment first to avoid errors.