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K8S Debug

Listed
akin-ozer·vlatest·cloud·Apache-2.0

Troubleshoot Kubernetes deployments, identify errors, and suggest fixes using automated analysis and expert knowledge.

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 akin-ozer/cc-devops-skills --skill k8s-debug -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

akin-ozer

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 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: kubernetes.default.svc.

    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

    kubernetes.default.svcundeclared

    What it found

    • devops-skills-plugin/skills/k8s-debug/scripts/network_debug.sh:20contacts kubernetes.default.svc
      KUBERNETES_API_URL="https://kubernetes.default.svc/api"

  • 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 akin-ozer/cc-devops-skills at 276af751e6.

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

Commit
276af751e6
Manifest
devops-skills-plugin/skills/k8s-debug/SKILL.md
Scanned
8 files, 2,443 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 k8s-debug skill allows AI agents to troubleshoot and diagnose issues within Kubernetes clusters. It can analyze logs, describe pods and services, and execute commands within containers to identify the root cause of problems. This capability significantly reduces debugging time for common Kubernetes operational tasks.

When to use it

  • Debugging application failures: Investigate why a specific pod is crashing or experiencing errors by analyzing its logs and resource usage.
  • Troubleshooting network connectivity issues: Diagnose problems with service discovery or communication between pods within the cluster.
  • Identifying resource constraints: Determine if pods are being throttled due to insufficient CPU or memory allocation.
  • Investigating deployment rollbacks: Analyze why a Kubernetes deployment failed and requires a rollback.

Key capabilities

  • Log analysis from pods and containers
  • Kubernetes object description (pods, services, deployments)
  • Container command execution within the cluster
  • Resource usage monitoring for pods

Example prompts

  • "Describe pod 'my-app-pod' in namespace 'production'."
  • "Show me the logs from container 'webserver' in pod 'my-app-pod'."
  • "Execute kubectl exec -it my-app-pod -- ps aux inside the 'my-app-pod' pod."

Tips & gotchas

Requires appropriate Kubernetes cluster access and credentials for the AI agent. The skill’s effectiveness depends on having sufficient logging enabled within your Kubernetes environment.