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Kcli Plan Authoring

Checked
karmab·vlatest·cloud·Apache-2.0

Generate structured kcli plans from natural language requests to automate complex Kubernetes workflows.

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-plan-authoring -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, 231 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

The kcli-plan-authoring skill allows AI agents to create and manage KubePlan files. These files define a sequence of Kubernetes operations, enabling automated deployments and infrastructure management. It simplifies complex tasks by translating human instructions into executable plans for Kubernetes clusters.

When to use it

  • Automated Deployments: Generate deployment plans for new applications or updates to existing ones.
  • Infrastructure Provisioning: Create plans to automatically set up required Kubernetes resources like namespaces, services, and deployments.
  • Rollback Procedures: Define a plan that can revert changes made by previous deployments in case of errors.
  • Complex Workflow Automation: Orchestrate multi-step processes involving multiple Kubernetes objects into a single, manageable plan.

Key capabilities

  • Generates KubePlan files from natural language instructions.
  • Manages and edits existing KubePlan files.
  • Supports defining sequences of Kubernetes operations within plans.
  • Allows for the creation of rollback procedures within plans.

Example prompts

  • "Create a KubePlan to deploy a new Nginx service in the 'staging' namespace."
  • "Generate a plan to update the image version of my existing 'web-app' deployment."
  • "Show me the current KubePlan for deploying the database."

Tips & gotchas

The skill requires familiarity with Kubernetes concepts and resources. While it simplifies plan creation, understanding the underlying Kubernetes objects is beneficial for troubleshooting and ensuring accurate deployments.