layered-boundary-refactor
layered-boundary-refactor is a Design patterns & component architecture skill for AI agents, published by NVIDIA-Omniverse in the omniverse-labs repository on GitHub. Skillspace rates layered-boundary-refactor D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Refactor disjoint or duplicated projects into clear layered architecture with canonical contracts and thin adapters. Use when viewers, renderers, bindings, data libraries, plugins, or services overlap and need maintainable ownership boundaries without losing behavior.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
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
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