Openclaw Skills for YAML validation that catches Kubernetes, Docker Compose, and GitHub Actions errors before they break deployment.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install yaml-config-validator
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install yaml-config-validator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Openclaw Skills turns raw YAML into a practical review by catching indentation mistakes, duplicate keys, type mismatches, missing required fields, and malformed port, resource, or environment-variable references. It is designed for the config files that power delivery pipelines and runtime infrastructure, where a small syntax error can stop a deploy or an entire CI run.
For Kubernetes, Docker Compose, and GitHub Actions manifests, Openclaw Skills also highlights risky patterns such as image: latest, missing resource limits, privileged containers, hostPath mounts, and compose volume, dependency, or port conflicts. The result is a corrected snippet plus a local validation command you can run immediately.
Openclaw Skills is ideal when you need a fast YAML review for deployment-critical files.
docker-compose.yml file before starting a local stack or shipping to staging.latest images, missing resource limits, privileged containers, and hostPath usage.yamllint, kubectl apply --dry-run=client, or docker compose config so you can confirm the fix immediately.Openclaw Skills is prompt-driven, so there is no runtime package to install inside the skill itself. Add it to your Openclaw Skills catalog or agent skill directory, then keep your preferred local validators available for the file types you work with.
pip install yamllint
yamllint config.yaml
kubectl apply --dry-run=client -f k8s.yaml
docker compose config
Openclaw Skills does not create a persistent database; it processes one YAML document or manifest fragment at a time and returns diagnostics, remediation text, and a validation command.
| Layer | Purpose | Examples |
|---|---|---|
| Input artifact | Raw YAML content supplied by the user | deployment.yaml, docker-compose.yml, workflow snippet |
| Syntax checks | Generic YAML parsing rules | indentation, duplicate keys, type mismatches |
| Domain rules | Platform-specific validation logic | image: latest, missing limits, hostPath, port conflicts |
| Remediation output | Suggested fixes and next-step commands | corrected snippet, yamllint, kubectl apply --dry-run=client, docker compose config |
| Metadata taxonomy | How findings are classified | syntax, schema, security, runtime, CI |
Generated artifacts:
Files are not written automatically; the skill is advisory and validation-focused.
Capability tiers:
latest images, privileged containers, hostPath mounts, and missing resource limits.Loading
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