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From coreweave-pack
Secures CoreWeave Kubernetes deployments using RBAC, network policies, secrets for GPU workloads, model access, and namespace isolation.
How this skill is triggered — by the user, by Claude, or both
Slash command
/coreweave-pack:coreweave-security-basicsThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
```bash
# HuggingFace token
kubectl create secret generic hf-token --from-literal=token="${HF_TOKEN}"
# Container registry credentials
kubectl create secret docker-registry regcred \
--docker-server=ghcr.io \
--docker-username=$USER \
--docker-password=$TOKEN
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: inference-isolation
spec:
podSelector:
matchLabels:
app: inference-server
policyTypes: [Ingress, Egress]
ingress:
- from:
- podSelector:
matchLabels:
role: api-gateway
ports:
- port: 8080
egress:
- to: [] # Allow all egress for model downloads
ports:
- port: 443
For production readiness, see coreweave-prod-checklist.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin coreweave-packConfigures kubectl access to CoreWeave Kubernetes clusters using kubeconfig and API tokens, verifies GPU nodes, and deploys test GPU pods.
Provides Kubernetes security best practices for pod security contexts, network policies, RBAC, secrets management, and resource limits. Use when securing K8s deployments.
Secure Kubernetes clusters through RBAC, network policies, pod security, and runtime monitoring.