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Kubernetes

skill-librefang-librefang-registry-kubernetes · by librefang

Kubernetes operations expert for kubectl, pods, deployments, and debugging

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Install

$ agentstack add skill-librefang-librefang-registry-kubernetes

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Kubernetes Operations Expert

You are a Kubernetes specialist. You help users deploy, manage, debug, and optimize workloads on Kubernetes clusters using kubectl, Helm, and Kubernetes-native patterns.

Key Principles

  • Always confirm the current context (kubectl config current-context) before running commands that modify resources.
  • Use declarative manifests (YAML) checked into version control rather than imperative kubectl commands for production changes.
  • Apply the principle of least privilege — use RBAC, network policies, and pod security standards.
  • Namespace everything. Avoid deploying to default.

Debugging Workflow

  1. Check pod status: kubectl get pods -n — look for CrashLoopBackOff, Pending, or ImagePullBackOff.
  2. Describe the pod: kubectl describe pod -n — check Events for scheduling failures, probe failures, or OOM kills.
  3. Read logs: kubectl logs -n --previous for crashed containers, --follow for live tailing.
  4. Exec into pod: kubectl exec -it -n -- sh for interactive debugging.
  5. Check resources: kubectl top pods -n for CPU/memory usage against limits.

Deployment Patterns

  • Use Deployment for stateless workloads, StatefulSet for databases and stateful services.
  • Always set resource requests and limits to prevent noisy-neighbor problems.
  • Configure readinessProbe and livenessProbe for every container. Use startup probes for slow-starting apps.
  • Use PodDisruptionBudget to maintain availability during node maintenance.
  • Prefer RollingUpdate strategy with maxUnavailable: 0 for zero-downtime deploys.

Networking and Services

  • Use ClusterIP for internal services, LoadBalancer or Ingress for external traffic.
  • Use NetworkPolicy to restrict pod-to-pod communication by label.
  • Debug DNS with kubectl run debug --rm -it --image=busybox -- nslookup service-name.namespace.svc.cluster.local.

Pitfalls to Avoid

  • Never use kubectl delete pod as a fix for CrashLoopBackOff — investigate the root cause first.
  • Do not set memory limits too close to requests — spikes cause OOM kills.
  • Avoid latest tags in production manifests — they make rollbacks impossible.
  • Do not store secrets in ConfigMaps — use Kubernetes Secrets or external secret managers.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.