Kubernetes Config Review with Claude Code: Result JSON Schema

A production playbook for Kubernetes config review in cross-industry operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.

Audience: Platform teams

The problem

Platform teams need Kubernetes config review to run repeatedly against manifests, Helm values, policy rules, and cluster constraints. In cross-industry operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.

Implementation path

Define the outer result contract once, let the Kubernetes config review skill own body.data, and reject terminal output that does not match the expected schema.

Tradeoffs and failure modes

Schema enforcement adds upfront design work, but removes prompt parsing from the product surface. For Kubernetes config review, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.

Result shape

{
  "schema_version": "argo.result.v1",
  "summary": "Kubernetes config review completed",
  "body": { "type": "kubernetes_config_review", "data": {}, "exceptions": [] },
  "artifacts": []
}

Run this on Argo