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    Docker Production Readiness Auditor

    2

    Audits Dockerfiles and Compose setups for production readiness, security risks, image size, build speed, health checks, secrets handling, and deployment compatibility.

    $50

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    Docker Production Readiness Auditor

    Docker Production Readiness Auditor

    Example session with this skill installed

    Audit this Node.js Dockerfile for production readiness. Check image size, multi-stage build opportunities, dependency layers, .dockerignore, non-root user, exposed ports, secrets handling, health checks, startup command, and deployment compatibility. Do not expose secrets or provide destructive operations.

    • Read your context and instructions
    • Compiled the docker production readiness

    === DOCKER PRODUCTION READINESS AUDIT ===

    Context
    Node.js web API Dockerfile review.

    Files reviewed
    Dockerfile only. No Compose file or deployment config provided.

    Application type
    Long-running API service.

    Deployment target
    Unknown.

    Overall readiness level
    Level 2 — Deployable but fragile.

    Executive summary
    The Dockerfile may build and run locally, but it is not production-ready. The main risks are use of a floating base tag, running as root, copying the full repository before dependency installation, likely missing .dockerignore, possible dev dependency inclusion, no health check, and unclear production command.

    Critical issues
    None confirmed from the provided Dockerfile, assuming no secrets are copied. Secret handling still needs verification.

    High-risk issues

    1. Runtime likely runs as root.
    2. Floating or overly broad base tag may create non-deterministic builds.
    3. No health check is defined.
    4. Dependency install may include dev dependencies.
    5. Build context may include unnecessary or sensitive files if .dockerignore is missing.

    Medium issues

    1. Build cache likely inefficient if full source is copied before dependency installation.
    2. Image may be larger than necessary.
    3. Port and runtime command need confirmation.

    Base image audit
    Use an explicit runtime version appropriate for the application. Avoid production reliance on floating tags.

    Build structure audit
    Copy package manifest and lockfile before application source to improve cache reuse.

    Dependency layer audit
    Use deterministic dependency installation based on the lockfile. Ensure production image excludes dev dependencies where appropriate.

    .dockerignore audit:

    Recommended exclusions

    • local dependencies
    • Git history
    • local environment files
    • logs
    • coverage
    • build outputs regenerated during image build
    • editor files
    • private keys or certificates

    Secrets/config audit
    Do not copy .env or credentials into the image. Runtime configuration should come from the deployment platform or secret manager.

    Runtime user and permissions audit
    Add a non-root runtime user and ensure file ownership supports the application.

    Ports/networking audit
    Confirm the app listens on the same port documented by EXPOSE and expected by the deployment platform.

    Health check audit
    Add or document a lightweight health endpoint if supported by the application.

    Entrypoint/CMD audit
    Confirm the command starts the production server, not a development server.

    Safe fix plan

    1. Add .dockerignore.
    2. Pin base image version.
    3. Reorder dependency install for cache.
    4. Use production dependencies in runtime.
    5. Add non-root user.
    6. Add or document health check.
    7. Validate port and production command.
    8. Test in staging.

    Improved Dockerfile draft
    The skill returns a reviewable multi-stage Dockerfile draft with no secrets and no destructive operations.

    Validation checklist

    • build succeeds in CI
    • image starts locally or in staging
    • app responds on the expected port
    • health endpoint returns success
    • container runs as non-root user where possible
    • no .env or private files are in the image
    • dependency install is deterministic
    • production command starts the correct artifact
    • logs are visible on stdout/stderr

    Open questions

    1. What framework is this app using?
    2. What is the real build output path?
    3. Which deployment platform will run this image?
    4. Does the app expose a health endpoint?

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Docker Production Readiness Auditor helps developers, SaaS builders, agencies, startups, DevOps teams, and AI coding agents review Dockerfiles and Docker Compose setups before production deployment. It audits base images, dependency layers, multi-stage build opportunities, build cache structure, .dockerignore files, image size, non-root runtime users, secrets handling, exposed ports, health checks, entrypoints, production commands, Compose services, volumes, networks, resource assumptions, logging, graceful shutdown, and deployment-platform compatibility. The skill produces risk-ranked audits, safe fix plans, improved Dockerfile drafts, Compose improvement notes, validation checklists, PR review comments, and production-readiness recommendations without executing container commands or exposing secrets.

    This skill provides Docker production-readiness analysis and safe improvement recommendations, but it does not execute builds, inspect live containers, access private registries, scan images directly, apply infrastructure changes, approve production deployments, or replace DevOps/security review. Actual production readiness depends on the application stack, deployment platform, CI/CD process, runtime environment, vulnerability scan results, performance testing, secrets management, and organizational security requirements.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Security scanned

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    Recently published to Agensi

    Money-back guarantee

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    Trust & safety

    Security scan

    Security scan passed 5 months ago

    Permissions

    Write Files
    Read Files

    File Scopes

    Dockerfile
    Dockerfile.*
    docker-compose.yml
    docker-compose.yaml
    compose.yml
    compose.yaml
    .dockerignore
    *.md
    *.txt
    *.yaml
    *.yml
    *.json
    *.log
    *.env.example
    README.md
    docker/**
    compose/**
    containers/**
    deploy/**
    deployment/**
    infra/**
    ci/**
    .github/**
    .gitlab/**
    scripts/**
    configs/**
    logs/**

    This skill uses file access to read user-provided Dockerfiles, Docker Compose files, .dockerignore files, build logs, package manifests, lockfiles, CI/CD configuration, deployment notes, registry scan summaries, and documentation. It uses write access to create structured Markdown/text outputs such as Docker production-readiness audits, security reviews, safe fix plans, improved Dockerfile drafts, Compose improvement notes, validation checklists, PR review comments, incident reviews, runbooks, and SKILL.md files. Browser access is optional and should only be used for public documentation research when explicitly requested. The default safe setup does not require network access, shell access, environment variable access, registry write access, production host access, or secret-value access.

    Listed5 months ago

    What's inside

    Frequently Asked Questions

    This skill performs a comprehensive audit of your Dockerfiles and Compose files to identify security vulnerabilities (like root usage), optimize image size via multi-stage builds, and ensure reliable deployments with proper health checks and signal handling.

    No, for security reasons, the auditor never executes your code or container commands; it performs a static analysis of your configuration files and provides risk-ranked recommendations for you to review and apply.

    Yes, the skill is designed to work seamlessly with AI coding agents and IDE extensions, allowing you to integrate production-readiness checks directly into your automated development and PR review workflows.

    The auditor is compatible with all standard Dockerfile syntax and Docker Compose specifications (V2/V3), making it suitable for any tech stack or deployment platform including Kubernetes, AWS ECS, or simple VPS setups.

    You receive the full skill integration, which includes the ability to generate risk-ranked audit reports, optimized Dockerfile drafts, .dockerignore suggestions, and ready-to-use PR review comments.

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