A
licenseNot graded
qualityC
maintenanceExposes a Dockerfile auditing engine to AI assistants, letting them scan a Dockerfile for the 32 deterministic layer-aware rules, print a stage/layer map showing what each layer adds or deletes, explain any rule's rationale and fix, and list available rules. Findings include file:line evidence so agents can surface and triage image-safety issues directly in Claude Code, Cursor, or Cline.
MIT