Dockerfile Validator

Overview

This skill validates Dockerfiles using a single self-contained script (dockerfile-validate.sh) that handles everything: tool installation, validation, and cleanup.

Key Features:

• ✅ Single script execution - no dependencies on other scripts
• ✅ Auto-installs hadolint and Checkov in Python venvs if not found
• ✅ Runs all 4 validation stages (syntax, security, best practices, optimization)
• ✅ Auto-cleanup on exit using bash trap (success or failure)
• ✅ Zero configuration required

Quick Start

Single command to validate any Dockerfile:

bash scripts/dockerfile-validate.sh Dockerfile

The script automatically checks for hadolint and Checkov, installs them temporarily in Python venvs if needed, runs all 4 validation stages, then cleans up on exit via trap cleanup EXIT INT TERM (ensures cleanup on normal exit, validation failure, Ctrl+C, and script errors).

Validation Workflow

The dockerfile-validate.sh script runs a comprehensive 4-stage validation:

1. Auto-Install (if needed) — Check for hadolint and Checkov; install in Python venvs if absent; set TEMP_INSTALL=true to trigger cleanup on exit
2. [1/4] Syntax Validation (hadolint) — Dockerfile syntax checking, instruction validation, shell script validation via ShellCheck, 100+ built-in linting rules
3. [2/4] Security Scan (Checkov) — Security policy validation, hardcoded secret detection, port exposure checks, USER directive validation, 50+ security policies
4. [3/4] Best Practices Validation (custom) — Base image tag validation, non-root USER enforcement, HEALTHCHECK presence, layer efficiency, package cache cleanup, COPY ordering
5. [4/4] Optimization Analysis (custom) — Base image size analysis, multi-stage build opportunities, layer count, .dockerignore check, build structure recommendations
6. Auto-Cleanup (bash trap — always runs) — Remove temp venvs if TEMP_INSTALL=true

Core Capabilities

1. Syntax Validation with hadolint

Workflow:

# Run hadolint on Dockerfile
hadolint Dockerfile

# Run with JSON output for parsing
hadolint --format json Dockerfile

# Run with specific rules ignored
hadolint --ignore DL3006 --ignore DL3008 Dockerfile

# Using Docker if not installed
docker run --rm -i hadolint/hadolint < Dockerfile

For the full list of DL-prefixed (hadolint) and SC-prefixed (ShellCheck) rules, see references/docker_best_practices.md.

Rule Severity Levels: error → warning → info → style

Best Practices:

• Run hadolint before every docker build
• Integrate into CI/CD pipelines
• Configure .hadolint.yaml for project-specific rules
• Address errors before warnings

2. Security Scanning with Checkov

Installation (permanent):

pip3 install checkov          # direct
brew install checkov          # macOS

Workflow:

# Scan a Dockerfile
checkov -f Dockerfile --framework dockerfile

# Scan a directory (finds all Dockerfiles)
checkov -d . --framework dockerfile

# Compact output (failures only)
checkov -f Dockerfile --framework dockerfile --compact

# Skip specific checks
checkov -f Dockerfile --framework dockerfile --skip-check CKV_DOCKER_2

For the full list of CKV_DOCKER_* security checks, see references/security_checklist.md.

Suppressing False Positives:

# checkov:skip=CKV_DOCKER_2:Health check not applicable for this init container
FROM alpine:3.21

Best Practices:

• Run Checkov after hadolint (syntax first, then security)
• Address high-severity findings first
• Document all suppressions with clear justification
• Integrate into CI/CD pipelines

3. Best Practices Validation

Custom Validation Checks:

# Check for :latest tag usage
grep -E "^FROM.*:latest" Dockerfile

# Count FROM statements (single FROM = multi-stage opportunity)
grep -c "^FROM" Dockerfile

# Ensure USER is set before CMD/ENTRYPOINT
grep "^USER" Dockerfile

# Verify HEALTHCHECK is defined for services
grep "^HEALTHCHECK" Dockerfile

# Count RUN commands (>5 suggests combination opportunity)
grep -c "^RUN" Dockerfile

# Verify cache cleanup in same RUN layer
grep "rm -rf /var/lib/apt/lists" Dockerfile
grep "--no-cache" Dockerfile  # for apk

Non-Obvious Checks (project-specific):

4. Optimization Analysis

Optimization Categories:

Image Size Reduction:

# Bad: Full distro
FROM ubuntu:22.04
RUN apt-get update && apt-get install -y curl

# Good: Minimal distro
FROM alpine:3.21
RUN apk add --no-cache curl

# Better: Multi-stage with distroless
FROM golang:1.21 AS build
WORKDIR /app
COPY . .
RUN go build -o myapp

FROM gcr.io/distroless/base-debian11
COPY --from=build /app/myapp /
ENTRYPOINT ["/myapp"]

Layer Optimization:

# Bad: Separate RUN commands (creates many layers)
RUN apt-get update
RUN apt-get install -y curl
RUN apt-get install -y git

# Good: Combined RUN (single layer)
RUN apt-get update && apt-get install -y --no-install-recommends \
    curl \
    git \
    && rm -rf /var/lib/apt/lists/*

Build Cache Efficiency:

# Bad: Copy all, then install dependencies
COPY . /app
RUN pip install -r requirements.txt

# Good: Copy dependency file first
COPY requirements.txt /app/
RUN pip install -r requirements.txt
COPY . /app

5. .dockerignore Validation

# Check if .dockerignore exists
if [ ! -f .dockerignore ]; then
    echo "WARNING: .dockerignore file not found"
fi

Common patterns to include:

.git
.gitignore
.env
*.log
node_modules
Dockerfile*
docker-compose*.yml

Tool Prerequisites

The validation script automatically installs tools if not found. No manual installation required.

For permanent installations:

# hadolint
brew install hadolint  # macOS
wget -O ~/.local/bin/hadolint https://github.com/hadolint/hadolint/releases/latest/download/hadolint-Linux-x86_64 && chmod +x ~/.local/bin/hadolint  # Linux

# Checkov
pip3 install checkov

Minimum Versions: hadolint >= 2.12.0 | Checkov: latest | Python >= 3.8

Testing Auto-Install:

# Force temporary installation for testing
FORCE_TEMP_INSTALL=true bash scripts/dockerfile-validate.sh Dockerfile

Handling Missing Tools

When tools are not installed, the script auto-installs them temporarily. If auto-install fails:

1. Complete available validations — continue with custom best practices checks and note skipped stages
2. Provide installation guidance:
   • hadolint: brew install hadolint (macOS) or wget from GitHub releases (Linux)
   • Checkov: pip3 install checkov
3. Offer to rerun after installation

Tool Priority:

• Required (always run): Custom best practices validation, file existence checks
• Recommended: hadolint (syntax/linting), Checkov (security scanning)
• Optional: docker (test builds), trivy (vulnerability scanning)

Error Troubleshooting

Resources

scripts/

dockerfile-validate.sh

• Single self-contained validation script
• Auto-installs hadolint and Checkov if needed
• Runs all 4 validation stages (syntax, security, best practices, optimization)
• Auto-cleanup on exit
• Usage: bash scripts/dockerfile-validate.sh [Dockerfile]

assets/

references/

Mandatory Workflow

Follow these steps in order for every validation request:

1. Pre-Validation

• Read the Dockerfile first — Use the Read tool to examine the Dockerfile before running validation.

2. Validation

• Run the validation script — Execute bash scripts/dockerfile-validate.sh <Dockerfile> to run all 4 stages.

3. Post-Validation

• Summarize findings by severity:

  • Critical (security vulnerabilities, hardcoded secrets)
  • High (missing USER, HEALTHCHECK, :latest tags)
  • Medium (layer optimization, version pinning)
  • Low (style, informational)

• Propose specific fixes — Use the Read tool to load appropriate reference files before proposing fixes:

  Issue Type	Reference File
  Security issues (secrets, USER, ports)	references/security_checklist.md
  Size/performance optimization	references/optimization_guide.md
  General best practices	references/docker_best_practices.md

• Offer to apply fixes — Ask the user if they want fixes applied, then apply if approved.

Example interaction:

User: "Validate my Dockerfile"

1. Read the Dockerfile using Read tool
2. Run: bash scripts/dockerfile-validate.sh Dockerfile
3. Review output from all 4 stages
4. Summarize findings by severity (critical → low)
5. Use Read tool to load relevant reference files:
   - Read references/security_checklist.md (if security issues found)
   - Read references/optimization_guide.md (if optimization issues found)
   - Read references/docker_best_practices.md (if best practice issues found)
6. Propose specific fixes with code examples from reference content
7. Ask: "Would you like me to apply these fixes?"
8. Apply fixes if user approves

For multi-Dockerfile projects: find all Dockerfile* files, validate each sequentially, aggregate results, and provide a unified report with project-wide improvement suggestions.

Integration with Other Skills

• dockerfile-generator — Generate optimized Dockerfiles
• k8s-yaml-validator — Validate Kubernetes deployments that reference Docker images
• helm-validator — Validate Helm charts with container configurations

Notes

• Always validate before building images
• Address security issues before optimizations
• Test builds after applying fixes
• Version pin base images for reproducibility
• Use multi-stage builds for compiled languages
• Keep production images minimal (distroless, Alpine)
• Never commit Dockerfiles with hardcoded secrets
• Document inline suppressions with clear justification
• Regularly update base images for security patches
• Integrate validation into CI/CD pipelines

Sources

Official Docker Documentation:

• Docker Best Practices
• Dockerfile Reference
• Multi-stage Builds

Security Guidelines:

• Checkov Dockerfile Scanning
• hadolint Rules

Best Practices Resources:

• Dockerfile Best Practices 2025
• Docker Security Best Practices