Coreweave Install Auth

What it does

When your agent uses it

• Setting up kubectl access to CoreWeave
• Configuring CKS clusters
• Authenticating with CoreWeave cloud services
• With phrases like install coreweave

Example prompts

• “install coreweave”
• “setup coreweave”
• “coreweave kubeconfig”
• “/coreweave-install-auth”

Requirements

• A credential in COREWEAVE_API_TOKEN
• Compatibility (from SKILL.md): Designed for Claude Code
• Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(kubectl:*), Grep

Workflow steps

4 steps, taken from the step headings in SKILL.md.

1. 1Download Kubeconfig
2. 2Configure API Token
3. 3Verify GPU Access
4. 4Test with a Simple GPU Pod

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Read
  • Write
  • Edit
  • Bash(kubectl:*)
  • Grep

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • kubectl

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Links to these hosts (documentation or services it may open):

  • docs.coreweave.com
  • cloud.coreweave.com

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • COREWEAVE_API_TOKEN

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

• Compatibility

  Designed for Claude Code

  From compatibility in the SKILL.md frontmatter.

Context cost

Coreweave Install Auth loads about 1.1k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 254 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~91

When it runs · the whole SKILL.md, loaded when a task matches

~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NoteMentions a .env fileSKILL.md:69

  AVE_API_TOKEN=${COREWEAVE_API_TOKEN}" >> .env

• NoteMentions a .env fileSKILL.md:70

  echo "KUBECONFIG=~/.kube/coreweave" >> .env

• NoteMentions a .env fileSKILL.md:145

  namespace owner. Do not put a token in `.env`, a manifest, shell history, or support tickets.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 254 words, ~1,110 tokens.

name

coreweave-install-auth

description

Configure CoreWeave Kubernetes Service (CKS) access with kubeconfig and API tokens. Use when setting up kubectl access to CoreWeave, configuring CKS clusters, or authenticating with CoreWeave cloud services. Trigger with phrases like "install coreweave", "setup coreweave", "coreweave kubeconfig", "coreweave auth", "connect to coreweave".

allowed-tools

Read, Write, Edit, Bash(kubectl:*), Grep

compatibility

Designed for Claude Code

version

1.11.0

license

MIT

author

Jeremy Longshore <jeremy@intentsolutions.io>

tags

saas, gpu-cloud, kubernetes, inference, coreweave

# Save kubeconfig
mkdir -p ~/.kube
cp ~/Downloads/coreweave-kubeconfig.yaml ~/.kube/coreweave

# Set as active context
export KUBECONFIG=~/.kube/coreweave

# Verify connection
kubectl get nodes
kubectl get namespaces

# CoreWeave API token for programmatic access
export COREWEAVE_API_TOKEN="your-api-token"

# Store securely
echo "COREWEAVE_API_TOKEN=${COREWEAVE_API_TOKEN}" >> .env
echo "KUBECONFIG=~/.kube/coreweave" >> .env

# List available GPU nodes
kubectl get nodes -l gpu.nvidia.com/class -o custom-columns=\
NAME:.metadata.name,GPU:.metadata.labels.gpu\.nvidia\.com/class,\
STATUS:.status.conditions[-1].type

# Check GPU allocatable resources
kubectl describe nodes | grep -A5 "Allocatable:" | grep nvidia

# test-gpu.yaml
apiVersion: v1
kind: Pod
metadata:
  name: gpu-test
spec:
  restartPolicy: Never
  containers:
    - name: cuda-test
      image: nvidia/cuda:12.2.0-base-ubuntu22.04
      command: ["nvidia-smi"]
      resources:
        limits:
          nvidia.com/gpu: 1
  affinity:
    nodeAffinity:
      requiredDuringSchedulingIgnoredDuringExecution:
        nodeSelectorTerms:
          - matchExpressions:
              - key: gpu.nvidia.com/class
                operator: In
                values: ["A100_PCIE_80GB"]

kubectl apply -f test-gpu.yaml
kubectl logs gpu-test  # Should show nvidia-smi output
kubectl delete pod gpu-test

export KUBECONFIG="$HOME/.kube/coreweave-sandbox"
kubectl -n sandbox apply -f test-gpu.yaml
kubectl -n sandbox wait --for=condition=Ready pod/gpu-test --timeout=10m
kubectl -n sandbox logs gpu-test
kubectl -n sandbox delete -f test-gpu.yaml

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/.curated/coreweave-install-auth of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287