functionality-complexity-tradeoff
functionality-complexity-tradeoff is a Structured reasoning & decision frameworks skill for AI agents, published by l-gevity in the l-gevity-skills repository on GitHub. Skillspace rates functionality-complexity-tradeoff F (49/100) and it passed the safety scan; the rating is based on static analysis only.
Decides whether functionality solves a real problem and is worth its complexity cost. Use in prospective mode to build, defer, or drop proposed capabilities, and in retrospective mode to keep, simplify, deprecate, delete, or mark existing code obsolete. Trigger for feature triage, backlog grooming, PR scope review, dead-code audits, tech-debt reviews, "is this worth it?", "should we remove this?", "is this defensive check necessary?", and cases involving impossible-state guards, redundant validation, cargo-culted patterns, phantom requirements, or unused generality.
- Grade
- F
- Quality
- 49 / 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
- 73 / 100
- Maturity
- Basic: a single SKILL.md
- 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
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