Dockerfile Audit

Enables users to audit Dockerfiles for container-security anti-patterns, including missing USER, baked-in secrets, curl | sh / wget | bash, unpinned base images, and ADD with remote URLs. It parses Dockerfile structure to return risk levels and actionable fixes.

Exposes 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.

Audits infrastructure configurations (Dockerfiles, GitHub Actions, Kubernetes, Terraform/Compose) against 14 deterministic security rules, returning BLOCK/REVIEW/PASS verdicts and signing attestations. Helps agents verify deployment configs before applying them.

Enables agents to validate Dockerfiles for build-breaking syntax errors, risky patterns like root users and secrets in ENV/ARG, and cache-order problems, returning every finding with its line and a fix. It also verifies referenced container images against public registries, reporting tag existence, digests to pin, supported platforms, last rebuild time, and end-of-life status with an upgrade tag.