Kubernetes
ListedAutomates Kubernetes cluster deployments, scaling, and management using declarative configurations via openhands' intuitive interface.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add openhands/extensions --skill kubernetes -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
openhands
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.
Automated safety checks
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 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: dl.k8s.io, kind.sigs.k8s.io.
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
kind.sigs.k8s.ioundeclareddl.k8s.ioundeclaredWhat it found (3 of 7)
- skills/kubernetes/README.md:29contacts kind.sigs.k8s.io
curl -Lo ./kind https://kind.sigs.k8s.io/dl/v0.22.0/kind-linux-amd64 - skills/kubernetes/SKILL.md:25contacts kind.sigs.k8s.io
curl -Lo ./kind https://kind.sigs.k8s.io/dl/v0.22.0/kind-linux-amd64 - skills/kubernetes/README.md:40contacts dl.k8s.io
curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"
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 openhands/extensions at 9c140e285e.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 9c140e285e
- Manifest
- skills/kubernetes/SKILL.md
- Scanned
- 4 files, 141 lines
About this skill
What it does
This skill enables AI agents to interact with and manage Kubernetes clusters. It allows users to deploy applications, inspect cluster resources (like pods and services), and perform common administrative tasks within a Kubernetes environment. The agent can execute commands against the cluster using kubectl.
When to use it
- Automating deployments: Deploy new application versions or rollbacks based on defined criteria.
- Troubleshooting issues: Investigate pod status, logs, and resource utilization to diagnose problems.
- Managing infrastructure: Scale services up or down based on demand or perform routine maintenance tasks.
- Checking cluster health: Verify the overall health of the Kubernetes cluster by inspecting node statuses and component readiness.
Key capabilities
kubectlcommand execution- Resource inspection (pods, services, etc.)
- Application deployment management
Example prompts
- "Deploy the 'my-app' Docker image to the 'development' namespace."
- "Show me the status of all pods in the 'production' environment."
- "Scale the 'web-service' to 3 replicas."
Tips & gotchas
- Requires proper Kubernetes cluster access credentials configured for the AI agent.
- The skill’s effectiveness depends on the accuracy and completeness of the provided
kubectlcommands.