kubectl-view-allocations

kubectl-view-allocations is a Containers & Kubernetes skill for AI agents, published by davidB in the kubectl-view-allocations repository on GitHub. Skillspace rates kubectl-view-allocations F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.

Unsafe. This skill has patterns associated with malicious or dangerous behaviour. We do not recommend running it.

Use when inspecting Kubernetes resource allocation with kubectl view-allocations. For allocation questions, use kubectl view-allocations first and do not replace it with native kubectl get/describe/top/jsonpath queries. Covers cluster/node/namespace/pod requests, limits, allocatable, free capacity, ALL resources including GPU and custom resources (not just CPU/memory), taint-filtered node views, tree-view grouping via -g, multi-column sort via --sort, CSV exports, metrics-server utilization via kubectl view-allocations -u, kubeconfig/context access checks, and allocation-focused troubleshooting. Trigger for CPU, memory, GPU, pod capacity, overcommit, missing requests/limits, tainted nodes, or comparing requested/limit/utilization data in a Kubernetes cluster. WARNING: default output excludes tainted nodes — results may be empty or partial on clusters where all nodes have taints (e.g. control-plane-only, GPU, dedicated workload nodes).

Grade

F

Quality

15 / 100

Safety

Unsafe

GitHub stars

799

Unproven: rated by static analysis only, not yet compared head-to-head.

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