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Debug Cluster

Official
openshift·vlatest·cloud·Apache-2.0

Automatically identifies and resolves common cluster configuration issues during OpenShift testing cycles.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it Debug Cluster, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add openshift/hypershift --skill "Debug Cluster" -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

openshift

Matched to the vendor's own GitHub organisation.

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 openshift/hypershift at dd2a3e4e4a.

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

Scanned
2 files, 367 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 enables AI agents to provision and manage a dedicated, isolated OpenShift cluster specifically designed for debugging and testing purposes. It automates the setup of a hypershift-enabled environment where agents can safely deploy workloads without impacting production systems.

When to use it

  • Running integration tests that require a full Kubernetes/OpenShift control plane.
  • Debugging complex application issues in an environment mirroring production but with zero risk.
  • Validating CI/CD pipeline configurations before merging code to main branches.
  • Simulating specific cluster conditions or resource constraints for performance testing.

Key capabilities

  • Instantly provisions a standalone OpenShift cluster via Hypershift.
  • Creates isolated environments tailored for troubleshooting and development workflows.
  • Manages the lifecycle of test clusters from initialization to teardown.

Example prompts

  • "Provision a debug cluster for me so I can run my integration tests in isolation."
  • "Set up a temporary OpenShift environment to troubleshoot why my deployment is failing."
  • "Create a fresh hypershift cluster configured with specific resource limits for stress testing."

Tips & gotchas

Ensure your AI agent has the necessary permissions to interact with the underlying infrastructure provider, as Hypershift requires specific IAM roles. Be mindful of cleanup policies; always instruct the agent to delete the debug cluster after testing to prevent unnecessary cloud costs and resource clutter.