docker-optimization

docker-optimization is a Containers & Kubernetes skill for AI agents, published by stefan-jansen in the claude-code-toolkit repository on GitHub. Skillspace rates docker-optimization F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.

Docker image optimization patterns including multi-stage builds, layer caching, security hardening, and size reduction techniques. Use when building Docker images, optimizing container size, improving build performance, or implementing Docker security best practices. Reduces image sizes by 70-90% and build times by 50-80%.

Grade
F
Quality
15 / 100
Safety
Unsafe
GitHub stars
79

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
88 / 100
Maturity
Basic: a single SKILL.md
Security scan
Critical-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • destructive rm -rf on home/root

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.