Contestant-scale code simplification
SkillAI & modelsContestant-scale code simplification. Simplify unnecessary engineering structure while preserving mathematical/numerical behavior; any executable hash change requires result/evaluator regression.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Contestant-scale code simplification skill
What this skill tells your AI
The instructions your AI receives, as published by mantou6666/math-modeling-agent-flow in math-modeling-finalizer/skills/modeling-behavior-refactor/SKILL.md and read by ahel’s review.
Compare baseline and current executable hashes. Simplify only unnecessary engineering structure. Preserve mathematical kernels, formal evaluator, numerical stability and performance-critical vectorization. After changes, compare official Result IDs/values, feasibility, key intermediates and independent evaluator outputs within declared tolerance. No freeze/state-machine dependency is required.
Signals
- GitHub stars
- 22
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
modeling-behavior-refactor- Source
- github.com/mantou6666/math-modeling-agent-flow