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Kubespray Monitoring

Listed
sigridjineth·vlatest·devops

Automates Kubespray cluster monitoring setup and configuration using Prometheus and Grafana for enhanced observability.

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 realsigridjin/kubespray-skills --skill kubespray-monitoring -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

sigridjineth

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.

  • No undeclared network calls: failed

    Contacts 4 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: 192.168.10.11, 192.168.10.12, 192.168.10.13, grafana.com.

    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.

    Hosts contacted

    grafana.comundeclared0.0.0.0local192.168.10.11undeclared192.168.10.12undeclared192.168.10.13undeclared

    What it found (3 of 6)

    • kubespray-monitoring/SKILL.md:179contacts grafana.com
      curl -s https://grafana.com/api/dashboards/12693/revisions/latest/download \
    • kubespray-monitoring/SKILL.md:183contacts grafana.com
      curl -s https://grafana.com/api/dashboards/15661/revisions/latest/download \
    • kubespray-monitoring/SKILL.md:326contacts 192.168.10.11
      curl http://192.168.10.11:2381/metrics | head -20

  • 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 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 sigridjineth/kubespray-skills at c7de3c148c.

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

Commit
c7de3c148c
Manifest
kubespray-monitoring/SKILL.md
Scanned
1 file, 404 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 deployment of monitoring tools within a Kubernetes cluster managed by Kubespray. It configures Prometheus, Grafana, and related components to provide comprehensive observability into your cluster's health and performance. The skill simplifies the often complex process of setting up robust monitoring infrastructure for Kubespray deployments.

When to use it

  • You’ve deployed a Kubernetes cluster using Kubespray and need to establish centralized monitoring.
  • Your team requires dashboards and alerting based on Kubernetes metrics, but lacks the expertise or time to manually configure Prometheus and Grafana.
  • You want to ensure consistent monitoring configuration across multiple Kubespray clusters.
  • You're troubleshooting performance issues in your cluster and require detailed metric data for analysis.

Key capabilities

  • Automated deployment of Prometheus operator.
  • Automatic creation of Grafana dashboards.
  • Configuration of service discovery for Kubernetes metrics.
  • Simplified monitoring setup for Kubespray clusters.

Example prompts

  • "Deploy monitoring to my existing Kubespray cluster."
  • "Configure Prometheus and Grafana with default dashboards for my Kubespray environment."
  • “Show me the current status of my Prometheus deployment in my Kubespray cluster.”

Tips & gotchas

  • This skill requires a working Kubespray Kubernetes cluster. Ensure your cluster is properly deployed before attempting to use this skill.
  • The initial setup may take some time as it deploys and configures multiple components.