dsh-k8s
Run the following command in DeepSeek Harness:
dsh plugin install MrYangyt/dsh-k8s
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install MrYangyt/dsh-k8s in DeepSeek Harness to install this plugin; the full source code is available at https://github.com/MrYangyt/dsh-k8s .
About this plugin
Managing Kubernetes clusters typically means stepping away from your current workflow and firing off kubectl commands in a terminal. dsh-k8s brings a Lens-style cluster management interface directly into the DSH conversation view, letting you flip between Chat, Trajectory, and Kubernetes tabs without ever leaving the session you are already working in.
The plugin covers the full breadth of day-to-day cluster operations: add, switch, and remove multiple kubeconfig clusters from a dropdown; browse more than a dozen resource types including Pods, Deployments, StatefulSets, Jobs, Services, Ingresses, ConfigMaps, Secrets, Nodes, and Namespaces with per-namespace filtering; inspect any resource YAML and tail logs in a dedicated detail panel; drop into an interactive Pod shell built on xterm.js and node-pty for in-container debugging; and perform write operations such as restarting workloads, scaling replica counts, and editing plus applying YAML with a second-confirmation guard. Every kubectl call runs against your local binary with no remote service in the middle, and each cluster config is stored under ~/.kube/configs/ so the plugin never overwrites your existing ~/.kube/config.
If you already live inside DSH for daily development and frequently need a quick glance at cluster state, a service restart, a scale-up, or a dive into a Pod to chase down a flaky container, dsh-k8s keeps those operational steps in the same session and removes the constant context-switching cost.
Screenshots
Use Cases
- Quickly browse and troubleshoot K8s cluster resources within a DSH session
- Drop into a Pod shell for in-container interactive debugging
- Restart, scale, or apply YAML changes to Deployments
Best For
- Developers working in DSH who frequently need to check cluster state
- SREs or DevOps engineers managing multiple clusters who want to reduce terminal switching
- Platform engineers looking to integrate K8s operations into their existing workflow
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