Kubernetes Config Review with Codex: SKILL.md Template
A production playbook for Kubernetes config review in cross-industry operations using Codex: skill.md template, 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
Put the operating procedure in SKILL.md, keep examples beside the skill, attach manifests, Helm values, policy rules, and cluster constraints per run, and let Argo turn the folder into a repeatable Codex execution.
Tradeoffs and failure modes
A skill folder is less flexible than an open chat, but it gives the product a versioned workflow that can be tested and rolled back. 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.
SKILL.md starter
# SKILL.md
You run Kubernetes config review using Codex.
Read only /skill/.argo/inputs.
Write artifacts to /skill/output/artifacts.
Return argo.result.v1 with body.type = "kubernetes_config_review".
Run this on Argo