model-deployment

The skill's footprint is coherent with its stated purpose: it describes a standard ML deployment workflow (Docker image build, push to registry, Kubernetes deployment, scaling). The credential exposure points are appropriate for deployment contexts but rely on secure secret management; no suspicious external executables or data exfiltration patterns are evident. Overall risk is moderate due to secrets handling requirements; no immediate red flags for malicious behavior.