Agent skill · software engineering · jeremylongshore
coreweave-debug-bundle
Collect CoreWeave cluster diagnostics for support tickets.
Why this skill is useful
Adds an executable script for collecting detailed diagnostics from CoreWeave clusters, which is not commonly found in public documentation.
What it needs
Requires curl, kubectl, tar installed locally. Requires coreweave account access. About 4k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
CoreWeave Debug Bundle Overview Collect the minimum redacted cluster, workload, and rate-limit evidence needed to triage a CoreWeave incident. A debug bundle is diagnostic evidence, not an archive for credentials, prompts, model weights, datasets, kubeconfigs, or raw secret values. Prerequisites Authorized read-only Kubernetes access to the affected namespace or cluster. An incident identifier, retention destination, and named incident owner. A local encrypted workspace with sufficient space; do not collect a bundle on a shared or unmanaged machine. Instructions 1. Create the bundle for the affected scope and set restrictive file permissions. 2. Capture status, events, allocation, and bounded log tails; remove headers or values that contain credentials before packaging. 3. Inspect the archive locally for secrets and customer data, then attach it only to the approved incident record with the required retention period. 4. Delete the local copy after verified upload, according to the incident policy. Community-contributed. Not affiliated with, endorsed by, or sponsored by CoreWeave, Inc. CoreWeave is a registered trademark of CoreWeave, Inc. Scope Collect GPU node health, Kubernetes pod status, event logs, and API connectivity into a single diagnostic archive for CoreWeave support tickets. This bundle captures cluster-level resource allocation, failed pod logs, GPU device plugin state, and network reachability so support engineers can diagnose infrastructure issues without requesting additional information. Useful when GPU pods are stuck pending, inference workloads OOM, or node autoscaling behaves unexpectedly. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/coreweave-debug-bundle