Conditional length control

SkillAI & models

Conditional paper length control. Run only when an explicit page limit is exceeded or the user asks to compress; preserve core claims, formulas, figures and evidence.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Conditional length control 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-paper-compressor/SKILL.md and read by ahel’s review.

Trigger only from Contest/Profile page-limit evidence or explicit user request. If already within the limit, return NO_CHANGE. Compression must not alter Result Certificate facts or silently remove required claims/references.

Signals

GitHub stars
22
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
modeling-paper-compressor
Source
github.com/mantou6666/math-modeling-agent-flow