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K8S Cluster Api

Listed
itechmeat·vlatest·cloud·MIT

Provides API guidance and assistance for deploying and managing cloud 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 itechmeat/llm-code --skill k8s-cluster-api -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

itechmeat

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 2 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 6 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: cluster-api.sigs.k8s.io, gallery.azure.com, kubernetes.default.svc, login.microsoftonline.com, management.azure.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

    github.comsource hostkubernetes.default.svcundeclaredlogin.microsoftonline.comundeclaredmanagement.azure.comundeclaredmanagement.core.windows.netundeclaredgallery.azure.comundeclaredcluster-api.sigs.k8s.ioundeclaredraw.githubusercontent.comsource host

    What it found (3 of 10)

    • skills/k8s-cluster-api/assets/argocd-cluster-app.yaml:49contacts kubernetes.default.svc
      server: https://kubernetes.default.svc
    • skills/k8s-cluster-api/assets/argocd-cluster-app.yaml:137contacts kubernetes.default.svc
      server: https://kubernetes.default.svc
    • skills/k8s-cluster-api/assets/argocd-cluster-app.yaml:159contacts kubernetes.default.svc
      server: https://kubernetes.default.svc

  • No credential access: failed

    Touches credential material in 1 place.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

    What it found

    • skills/k8s-cluster-api/assets/azure-credentials.yaml:84SSH private keys or config
      # export AZURE_SSH_PUBLIC_KEY_B64=$(cat ~/.ssh/id_rsa.pub | base64 | tr -d '\n')

  • 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 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 itechmeat/llm-code at 7ae8a00524.

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

Commit
7ae8a00524
Manifest
skills/k8s-cluster-api/SKILL.md
Scanned
48 files, 14,762 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 allows AI agents to interact with and manage Kubernetes clusters using Cluster API. It can provision, configure, and monitor Kubernetes clusters programmatically, automating cluster lifecycle management tasks. The agent can also perform actions like scaling worker nodes or updating the Kubernetes version on a managed cluster.

When to use it

  • Automating the creation of new development or testing Kubernetes clusters.
  • Managing multiple Kubernetes clusters across different environments (e.g., staging, production).
  • Scaling existing Kubernetes clusters based on resource utilization metrics.
  • Performing rolling upgrades of Kubernetes versions on managed clusters.

Key capabilities

  • Cluster provisioning
  • Node scaling
  • Kubernetes version updates
  • Cluster monitoring

Example prompts

  • "Create a new Kubernetes cluster named 'dev-cluster' in the us-east region."
  • "Scale up the number of worker nodes in the 'prod-cluster' to 10."
  • "Upgrade the Kubernetes version on the 'staging-cluster' to v1.28."

Tips & gotchas

Requires appropriate credentials and permissions within your Kubernetes environment for the agent to execute commands successfully. The specific Cluster API controllers and infrastructure provider (e.g., AWS, Azure, GCP) must be configured beforehand.