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Prometheus Configuration

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sickn33·vlatest·devops·MIT

This skill automates Prometheus configuration management, streamlining setup and ensuring consistent monitoring across your infrastructure.

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 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

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/prometheus-configuration/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

The prometheus-configuration skill enables AI agents to generate, modify, and validate Prometheus configuration files for monitoring systems. It automates the creation of scrape targets, alerting rules, and recording rules based on specific infrastructure requirements.

When to use it

  • Deploying new microservices that require immediate metric collection and visualization.
  • Adjusting scrape intervals or job configurations to optimize resource usage during scaling events.
  • Defining custom alerting thresholds for critical system components like database latency or CPU spikes.
  • Validating syntax errors in complex prometheus.yml files before applying them to production environments.

Key capabilities

  • Generates valid Prometheus configuration YAML structures automatically.
  • Configures global settings including scrape intervals and evaluation durations.
  • Defines target groups with specific relabeling rules for metric filtering.
  • Creates alerting rule definitions for anomaly detection and incident response.

Example prompts

  • "Create a Prometheus configuration file to monitor a Kubernetes cluster with 50 pods, setting a global scrape interval of 15 seconds."
  • "Generate an alerting rule that triggers when the average CPU usage of any node exceeds 85% for more than 5 minutes."
  • "Update my existing Prometheus config to add a new job scraping custom metrics from a Node.js application at port 9090."

Tips & gotchas

Ensure your AI agent has access to the correct target IP addresses or DNS names, as incorrect hostnames will result in failed scrapes. Always review generated alerting rules for false positives before deploying them to a live monitoring stack.