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Kubespray Deployment

Listed
sigridjineth·vlatest·cloud

Automates Kubernetes cluster deployment using Kubespray, simplifying infrastructure provisioning and configuration for DevOps teams.

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-deployment -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 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 3 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: 192.168.10.10, 192.168.10.11, 192.168.10.12.

    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

    0.0.0.0local192.168.10.10undeclared192.168.10.11undeclared192.168.10.12undeclared

    What it found

    • kubespray-deployment/SKILL.md:293contacts 192.168.10.10
      curl -sk https://192.168.10.10:6443/version
    • kubespray-deployment/SKILL.md:294contacts 192.168.10.11
      curl -sk https://192.168.10.11:6443/version
    • kubespray-deployment/SKILL.md:295contacts 192.168.10.12
      curl -sk https://192.168.10.12:6443/version

  • No credential access: failed

    Touches credential material in 4 places.

    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 (3 of 4)

    • kubespray-deployment/SKILL.md:188SSH private keys or config
      -u root -b -v --private-key=~/.ssh/id_rsa
    • kubespray-deployment/SKILL.md:241Kubernetes credentials
      scp root@<control-plane-ip>:/etc/kubernetes/admin.conf ~/.kube/config
    • kubespray-deployment/SKILL.md:244Kubernetes credentials
      sed -i 's/127.0.0.1/<control-plane-ip>/g' ~/.kube/config

  • 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 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-deployment/SKILL.md
Scanned
1 file, 339 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 Kubernetes cluster deployments using Kubespray. It handles the provisioning of infrastructure, configuration of control plane and worker nodes, and subsequent cluster setup based on predefined or custom configurations. The resulting Kubernetes clusters are ready for application deployment and management.

When to use it

  • Rapid Cluster Creation: Quickly deploy a new Kubernetes cluster for testing, development, or staging environments.
  • Consistent Deployments: Ensure consistent cluster deployments across different infrastructure providers by leveraging Kubespray's declarative approach.
  • Automated Upgrades: Automate the process of upgrading existing Kubernetes clusters to newer versions using Kubespray’s upgrade procedures.
  • Infrastructure as Code (IaC): Integrate Kubernetes deployment into your IaC workflows for reproducible and automated infrastructure management.

Key capabilities

  • Kubernetes cluster provisioning
  • Control plane node configuration
  • Worker node configuration
  • Cluster upgrades
  • Declarative configuration via Ansible playbooks

Example prompts

  • "Deploy a Kubernetes cluster with three control plane nodes and five worker nodes."
  • "Upgrade my existing Kubernetes cluster to version 1.28 using Kubespray."
  • "Create a new Kubernetes cluster based on the 'production' configuration profile."

Tips & gotchas

  • Requires familiarity with Ansible and Kubernetes concepts for advanced customization.
  • Ensure proper network connectivity between nodes during deployment.