docker-optimisations
docker-optimisations is a Containers & Kubernetes skill for AI agents, published by razorpay in the trino-gateway repository on GitHub. Skillspace rates docker-optimisations C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Optimise Dockerfiles in repositories for better Docker layer caching. Reorders layers so static/rarely-changing layers are at the top and build-specific ARGs/ENVs are placed after the cache-busting source copy.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 31
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it looks written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill 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.