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coreweave-security-basics

Secure CoreWeave deployments with RBAC, network policies, and secrets management. Use when hardening GPU workloads, managing model access, or configuring namespace isolation. Trigger with phrases like

by jeremylongshore(0) 0 installs
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About

Imported from jeremylongshore/tons-of-skills-marketplace (skills/.curated/coreweave-security-basics/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill coreweave-security-basics. Copyright stays with the author (MIT).

CoreWeave Security Basics

Community-contributed. Not affiliated with, endorsed by, or sponsored by CoreWeave, Inc. CoreWeave is a registered trademark of CoreWeave, Inc.

Overview

CoreWeave provides bare-metal GPU cloud on Kubernetes. Security concerns center on compute credential management (kubeconfig, deploy tokens), network isolation between inference workloads, secrets for model registry access (HuggingFace, container registries), and protecting sensitive training data on persistent volumes. A compromised namespace can expose GPU resources, model weights, and customer inference data.

Prerequisites

  • A named namespace owner and a current data classification for the workload.
  • Secrets-manager access for deployment credentials; no credentials in manifests or git.
  • Authority to apply Kubernetes policies in the target namespace and an approved rollback plan.

Instructions

  1. Store API, registry, and model credentials in the approved secrets manager and mount only the minimum secret into the intended workload.
  2. Apply namespace-scoped RBAC, ResourceQuota, and default-deny NetworkPolicy before exposing an inference endpoint.
  3. Validate images and request payloads in CI, then test webhook signatures with a known valid and invalid payload without logging raw secrets.
  4. Review access events and rotate/revoke the affected secret after suspected exposure.

API Key Management

import { KubeConfig, CoreV1Api } from "@kubernetes/client-node";

function createCoreWeaveClient(): CoreV1Api {
  const apiKey = process.env.COREWEAVE_API_KEY;
  if (!apiKey) {
    throw new Error("Missing COREWEAVE_API_KEY — set via secrets manager");
  }
  const kc = new KubeConfig();
  kc.loadFromDefault();
  const api = kc.makeApiClient(CoreV1Api);
  // Never log kubeconfig or API key contents
  console.log("CoreWeave client initialized for namespace:", process.env.CW_NAMESPACE);
  return api;
}

Webhook Signature Verification

import crypto from "crypto";
import { Request, Response, NextFunction } from "express";

function verifyCoreWeaveWebhook(req: Request, res: Response, next: NextFunction): void {
  const signature = req.headers["x-coreweave-signature"] as string;
  const secret = process.env.COREWEAVE_WEBHOOK_SECRET!;
  const expected = crypto.createHmac("sha256", secret).update(req.body).digest("hex");
  const supplied = Buffer.from(signature ?? "");
  const expectedBuffer = Buffer.from(expected);
  if (supplied.length !== expectedBuffer.length || !crypto.timingSafeEqual(supplied, expectedBuffer)) {
    res.status(401).send("Invalid signature");
    return;
  }
  next();
}

Input Validation

import { z } from "zod";

const WorkloadRequestSchema = z.object({
  namespace: z.string().regex(/^[a-z0-9-]+$/).max(63),
  gpu_type: z.enum(["A100_80GB", "A100_40GB", "H100_80GB", "RTX_A6000"]),
  gpu_count: z.number().int().min(1).max(8),
  image: z.string().regex(/^[a-z0-9.\-/]+:[a-z0-9.\-]+$/),
  model_id: z.string().min(1).max(200),
});

function validateWorkloadRequest(data: unknown) {
  return WorkloadRequestSchema.parse(data);
}

Data Protection

const CW_SENSITIVE_FIELDS = ["kubeconfig", "hf_token", "registry_password", "api_key", "model_weights_url"];

function redactCoreWeaveLog(record: Record<string, unknown>): Record<string, unknown> {
  const redacted = { ...record };
  for (const field of CW_SENSITIVE_FIELDS) {
    if (field in redacted) redacted[field] = "[REDACTED]";
  }
  return redacted;
}

Security Checklist

  • Kubeconfig stored in secrets manager, never in repos
  • Kubernetes Secrets used for model tokens (not env vars in YAML)
  • Network policies restrict inference endpoint access
  • RBAC limits namespace access per team
  • Container images scanned for CVEs before deployment
  • PVCs encrypted at rest for training data
  • GPU workload namespaces isolated with NetworkPolicy
  • Deploy tokens scoped per-namespace, not cluster-wide

Error Handling

Vulnerability Risk Mitigation
Leaked kubeconfig Full cluster access, GPU resource theft Secrets manager + RBAC scoping
Open inference endpoints Unauthorized model access NetworkPolicy ingress rules
Unscanned container images CVE exploitation in GPU pods CI image scanning before deploy
Overly broad RBAC Cross-namespace data leakage Per-team namespace RBAC bindings
Unencrypted PVCs Training data exposure Encrypted storage classes

Output

  • A namespace-level hardening baseline covering secrets, RBAC, network isolation, image validation, and protected persistent storage.
  • A safe signature-validation and input-validation path that rejects malformed requests without leaking credentials or workload data.
  • An incident response path that revokes access, preserves redacted evidence, and verifies recovery with the namespace owner.

Examples

Apply a default-deny ingress policy before adding an explicitly reviewed service exception. Test it in the target namespace with a non-sensitive health endpoint:

kubectl -n inference apply -f networkpolicy-default-deny.yaml
kubectl -n inference get networkpolicy
kubectl -n inference run policy-check --rm -i --restart=Never \
  --image=curlimages/curl -- curl -fsS http://approved-service/health

If the expected workload is blocked, add the smallest labelled ingress rule and retest. Never temporarily open all namespace ingress as a diagnostic workaround.

Resources

Next Steps

See coreweave-prod-checklist.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/jeremylongshore-tons-of-skills-marketplace-coreweave-sec-ad8667/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

jeremylongshore-tons-of-skills-marketplace-coreweave-sec-ad8667.ocm.jsonjson
{
  "ocm": "1",
  "id": "jeremylongshore-tons-of-skills-marketplace-coreweave-sec-ad8667",
  "kind": "skill",
  "name": "coreweave-security-basics",
  "description": "Secure CoreWeave deployments with RBAC, network policies, and secrets management. Use when hardening GPU workloads, managing model access, or configuring namespace isolation. Trigger with phrases like \"coreweave security\", \"coreweave rbac\", \"secure coreweave\", \"coreweave secrets\".",
  "publisher": "jeremylongshore",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "saas",
      "gpu-cloud",
      "kubernetes",
      "inference",
      "coreweave",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Secure CoreWeave deployments with RBAC, network policies, and secrets management. Use when hardening GPU workloads, managing model access, or configuring namespace isolation. Trigger with phrases like \"coreweave security\", \"coreweave rbac\", \"secure coreweave\", \"coreweave secrets\"."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/jeremylongshore/tons-of-skills-marketplace",
      "path": "skills/.curated/coreweave-security-basics/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/jeremylongshore/tons-of-skills-marketplace/blob/HEAD/skills/.curated/coreweave-security-basics/SKILL.md",
      "key": "jeremylongshore/tons-of-skills-marketplace/skills/.curated/coreweave-security-basics/SKILL.md"
    },
    "compatibility": "Designed for Claude Code",
    "allowed_tools": [
      "Read,",
      "Write,",
      "Edit,",
      "Bash(kubectl:*),",
      "Grep"
    ],
    "license": "MIT"
  },
  "instructions": "# CoreWeave Security Basics\n\n> **Community-contributed.** Not affiliated with, endorsed by, or sponsored by CoreWeave, Inc. CoreWeave is a registered trademark of CoreWeave, Inc.\n\n## Overview\n\nCoreWeave provides bare-metal GPU cloud on Kubernetes. Security concerns center on compute credential management (kubeconfig, deploy tokens), network isolation between inference workloads, secrets for model registry access (HuggingFace, container registries), and protecting sensitive training data on persistent volumes. A compromised namespace can expose GPU resources, model weights, and customer inferen",
  "cost": {
    "context_tokens": 1438
  }
}

Fetch it by URL: GET /api/v1/registry/jeremylongshore-tons-of-skills-marketplace-coreweave-sec-ad8667/manifest?version=1.0.0

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