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Kubernetes Debug

Listed
incidentfox·vlatest·cloud

Helps with Kubernetes, debugging as part of deploying and managing cloud infrastructure workflows.

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 incidentfox/incidentfox --skill kubernetes-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

incidentfox

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 credential access: failed

    Touches credential material in 8 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 8)

    • sre-agent/.claude/skills/infrastructure-kubernetes/scripts/describe_deployment.py:41Kubernetes credentials
      "Error: Kubernetes not configured. No in-cluster token or ~/.kube/config.",
    • sre-agent/.claude/skills/infrastructure-kubernetes/scripts/describe_node.py:39Kubernetes credentials
      "Error: Kubernetes not configured. No in-cluster token or ~/.kube/config.",
    • sre-agent/.claude/skills/infrastructure-kubernetes/scripts/describe_pod.py:41Kubernetes credentials
      "Error: Kubernetes not configured. No in-cluster token or ~/.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 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 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 incidentfox/incidentfox at 1b6ffad455.

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

Commit
1b6ffad455
Manifest
sre-agent/.claude/skills/infrastructure-kubernetes/SKILL.md
Scanned
11 files, 1,716 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 assists in debugging Kubernetes deployments and clusters. It can analyze error messages, identify potential causes of issues like pod failures or service unavailability, and suggest troubleshooting steps. The agent leverages its knowledge of Kubernetes concepts to provide targeted assistance during incidents.

When to use it

  • You're experiencing application errors within a Kubernetes cluster and need help diagnosing the root cause.
  • Pods are failing repeatedly, and you require guidance on interpreting logs and events.
  • A service is unavailable, and you want to quickly identify potential issues with deployments, services, or networking.
  • You suspect configuration problems in your Kubernetes manifests and need assistance validating them.

Key capabilities

  • Error message analysis
  • Log interpretation
  • Event correlation
  • Kubernetes concept understanding
  • Troubleshooting suggestions

Example prompts

  • "My pod is stuck in CrashLoopBackOff, what should I check?"
  • "I'm seeing a 503 error when accessing my service. Can you help me debug it?"
  • "Analyze these Kubernetes events and tell me why my deployment isn’t scaling up."

Tips & gotchas

This skill requires access to relevant logs, event data, and potentially the cluster configuration for effective debugging. Providing detailed context about the issue will improve the accuracy of its suggestions.