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math-modeling

Execute and audit complete mathematical modeling competition workflows with the evidence-first mmflow runtime as the single source of truth, plus adaptive data analysis, model selection, validation, publication, presentation, privacy, reproducibility, and compliance templates. Use for 数学建模、数模、赛题、CUMCM、MCM/ICM、GMCM、MathorCup、APMCM、深圳杯 or any contest task involving problem selection, data analysis, model construction, validation, paper writing, review, packaging, defense preparation, auditing, or workflow recovery.

SKILL.md

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Aug 31, 2026
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# 数学建模自主全流程整合版

## 1. 任务定位

使用本 Skill 完成从赛题读取到本地交付的完整数学建模竞赛流程。以证据链、可复现性、题型适配、论文一致性、合规性和可审查性为首要目标；以高水平竞赛作品为质量方向，但不承诺原创性、评委接受度、奖项或任何外部检测结果。

将 `scripts/mmflow.py` 作为唯一事实入口。状态、事件账本、Registry、Lineage、stage_epoch、门禁、回退、受控执行、复现、审查关闭、隐私扫描、打包和发布标签都必须由它计算或登记。Markdown、文件名、关键词、文件大小、截图和模型自报均不能单独证明阶段完成。

把本 Skill 安装目录与具体比赛项目根目录严格分开。所有题目文件、数据、代码、实验、稿件和交付包写入用户授权的项目根目录；不要把比赛产物写入本 Skill 目录，不要把 `.mmflow` 事件或状态当作普通文本手工修改。

## 2. 不可逾越的规则

1. 读取题目原文、全部可用附件、补充说明和适用的当届官方规则；当届一手规则优先于往届经验和本 Skill 的通用建议。
2. 区分题目事实、数据事实、外部文献、数学推导、模型输出、实验观察、专业判断、假设和建议；为关键内容登记来源与适用范围。