# K8s Manifest Validator

> Validate and lint Kubernetes manifest files (YAML/JSON) against required fields, resource constraints, and best practices, with an optional kubectl dry-run schema check.

- Skill: `rmazrim/k8s-manifest-validator` (Agent Skill)
- Install (CLI): `npx skillmds@latest add rmazrim/k8s-manifest-validator`
- Raw SKILL.md: https://api.skillmd.com/api/skills/rmazrim/k8s-manifest-validator/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: RMAzrim (https://skillmd.com/u/rmazrim)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/rmazrim/k8s-manifest-validator

---


# K8s Manifest Validator

## Prerequisites & Dependencies

- Python 3.10+ (for YAML/JSON parsing)
- `kubectl` for Kubernetes cluster interaction (optional, for validation)
- `jq` for JSON parsing (optional)

## Execution Steps

1. **Parse the Kubernetes manifest**: Read the YAML or JSON file containing the Kubernetes resource definition.

2. **Validate required fields**: Check for essential fields like `apiVersion`, `kind`, `metadata.name`, and appropriate `spec` structure based on the resource type.

3. **Check resource constraints**: Validate CPU/memory requests and limits, replica counts, and service account settings.

4. **Generate validation report**: Output a structured report listing:
   - Valid fields and structures
   - Missing or invalid fields
   - Warnings for deprecated or recommended settings
   - Suggested fixes for common issues

5. **Optional kubectl dry-run**: If `kubectl` is available, run `kubectl apply --dry-run=client` to validate the manifest against the cluster's schema.

6. **Example output**: A validation report indicating the manifest is valid, or listing issues like missing `selector`, incorrect `apiVersion`, or improper `metadata` formatting.

```bash
kubectl apply --dry-run=client -f manifest.yaml
```