refining-business-logic-for-implementation
refining-business-logic-for-implementation is a Discovery & requirements clarification skill for AI agents, published by meirm in the reverse-engineering-skill repository on GitHub. Skillspace rates refining-business-logic-for-implementation D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Rewrites vague business logic into deterministic, testable rules by separating policy from mechanism, normalizing terminology, and defining explicit state machines. Use when preparing BL for code implementation, making BL executable, or normalizing ambiguous requirements.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 26
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
- 93 / 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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