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Prometheus Grafana

Checked
bagelhole·vlatest·devops·MIT

This skill integrates Prometheus and Grafana for visualizing time-series data, offering powerful monitoring and alerting capabilities.

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 bagelhole/devops-security-agent-skills --skill prometheus-grafana -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

bagelhole

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 bagelhole/devops-security-agent-skills at 0365f57a07.

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

Commit
0365f57a07
Manifest
devops/observability/prometheus-grafana/SKILL.md
Scanned
7 files, 1,185 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 integrates Prometheus and Grafana, enabling AI agents to query metrics stored in Prometheus and visualize them using Grafana dashboards. It allows for real-time monitoring of system performance, identification of anomalies, and generation of reports based on collected data. The agent can retrieve specific metric values or even trigger dashboard updates based on conditions.

When to use it

  • Troubleshooting application performance: Identify bottlenecks by querying Prometheus for response times and error rates, then visualizing the data in a Grafana dashboard.
  • Monitoring infrastructure health: Track CPU usage, memory consumption, and disk I/O across servers using Prometheus metrics displayed on Grafana dashboards.
  • Alerting on critical events: Configure the agent to query Prometheus for specific metric thresholds and trigger alerts when those thresholds are breached, visualized in Grafana.
  • Generating performance reports: Automatically pull data from Prometheus and create formatted reports with key performance indicators (KPIs) displayed via Grafana charts.

Key capabilities

  • Prometheus Querying: Retrieves metrics from a configured Prometheus instance.
  • Grafana Dashboard Integration: Displays data within existing Grafana dashboards.
  • Metric Visualization: Generates graphs and charts based on retrieved metric data.
  • Alert Triggering (implied): Can be used to monitor for conditions that would trigger alerts.

Example prompts

  • "Show me the CPU usage of server 'web-01' from the last 5 minutes in a Grafana dashboard."
  • "What is the average response time for API endpoint '/users' over the past hour?"
  • "Create a Grafana chart displaying memory consumption trends for all database servers."

Tips & gotchas

  • Requires access to both a Prometheus instance and a Grafana environment.
  • The agent needs appropriate credentials to query Prometheus and interact with Grafana APIs.