patterns-entity-modeling
patterns-entity-modeling is a Design patterns & component architecture skill for AI agents, published by deepeshBodh in the human-in-loop repository on GitHub. Skillspace rates patterns-entity-modeling C (73/100) and it passed the safety scan; the rating is based on static analysis only.
This skill MUST be invoked when the user says "extract entities", "define data model", "model relationships", "entity modeling", or "domain model". SHOULD also invoke when user mentions "relationship", "cardinality", "state machine", or "data attributes".
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 34
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, so go by its current files.
Our review
- Architecture
- 93 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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.