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Kcli Cluster Deployment

Checked
karmab·vlatest·cloud·Apache-2.0

Automates Kubernetes cluster deployments using kcli, streamlining infrastructure provisioning and application rollout.

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 karmab/kcli --skill kcli-cluster-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

karmab

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 karmab/kcli at 7a148ef6ea.

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

Scanned
1 file, 193 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 you to deploy Kubernetes resources using the kcli command-line tool. It simplifies common deployment tasks by providing a structured interface and automating repetitive steps. You can create, update, and delete Kubernetes deployments, services, and other related objects directly through AI agent prompts.

When to use it

  • Automated Deployments: Quickly deploy new application versions to your Kubernetes cluster without manual YAML editing.
  • Infrastructure as Code (IaC): Manage and maintain your Kubernetes infrastructure using a declarative approach guided by natural language instructions.
  • DevOps Workflows: Integrate deployment tasks into automated CI/CD pipelines managed by an AI agent.
  • Troubleshooting: Easily revert to previous deployments or modify existing resources in response to incidents.

Key capabilities

  • Deployment creation and management
  • Service definition and updates
  • Kubernetes resource manipulation via kcli commands

Example prompts

  • "Deploy the latest version of my application named 'my-app' to the 'production' namespace."
  • "Update the image tag for the deployment 'web-server' to 'v2.0'."
  • "Delete the service called 'database-service'."

Tips & gotchas

  • Requires kcli to be installed and configured with access to your Kubernetes cluster.
  • The AI agent needs appropriate permissions within the Kubernetes cluster to perform deployment actions.