Analyze Dockerfiles for build efficiency and security risks.
npx skills add https://github.com/47network/Sven --skill docker-optimizer-47network
Please help me install this Agent Skill. Skill: docker-optimizer Source: https://github.com/47network/Sven/tree/main/skills/compute-mesh/docker-optimizer Command: npx skills add https://github.com/47network/Sven --skill docker-optimizer-47network
Docker image creation often leads to large, slow builds with maintenance and security overhead. This skill analyzes Dockerfiles to surface opportunities to reduce image size, improve layer caching, and harden security practices.
Provide a Dockerfile and select an action (analyze, optimize, or security_scan) to receive actionable results immediately.
High-intent search queries and answers about installing and using this skill.
To optimize a Dockerfile, you can analyze it to identify unnecessary packages and suboptimal layering, then apply recommendations like multi-stage builds, smaller base images, and cleanup steps to minimize the image footprint and improve build cache efficiency.
A multi-stage build is a Docker optimization technique that uses multiple FROM statements to copy only the necessary build artifacts into the final image, reducing image size and separating the build environment from the runtime environment for better security.
Yes, you can perform a security scan on a Dockerfile to harden container images by identifying security risks and recommending practices that limit vulnerabilities in your Docker build process.
Dockerfile analysis supports both single-repo and multi-service environments, allowing you to audit Dockerfiles and apply build cache optimization or security scanning across complex containerized projects.
Docker build cache invalidation often occurs due to suboptimal layering in the Dockerfile, where early instructions change frequently, and can be resolved by reordering commands to leverage caching for dependencies and optimize build efficiency.
The best way to audit Dockerfiles for CI pipelines is to run an automated analysis that checks for missing --no-install-recommends flags, unnecessary packages, and security hardening opportunities to ensure efficient and safe image builds.
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