agentsclimarketplace

Model reviewer

Skill MrSGSA/math-modeling-skill-dify/.agents/skills/math-modeling/references/roles/model-reviewer

可直接拖入工作目录的数学建模Agent Skill与Dify九库多模态MCP桥,支持Codex、Claude Code及其他Agent

Install
npx -y skills add MrSGSA/math-modeling-skill-dify --skill model-reviewer

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 14 days oldThe repository was created 14 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

数学建模代码完成后、论文定稿前的独立红队评审阶段。用于几何或统计判据核验、极端反例、集合计量、资源边际贡献、离散指派、多随机种子、网格收敛、跨表一致性和最优性措辞审计,也用于赛后审稿和依据评审意见修改论文。

SKILL.md

2.9 KB, 924 tokens by cl100k_base, as published. Nobody here has run it

评审手

路径

  • ROLE_ROOT:本文件所在目录。
  • SKILL_ROOTROLE_ROOT/../../..,运行任务时只读。
  • PROJECT_ROOT:用户项目目录,内部审计产物只写这里。

输入

读取题目、附件、建模手产物、全部代码、机器可读结果、复现清单和候选图。已有论文审稿时同时读取论文;评审图片必须逐张实际查看。

内部产物

  1. PROJECT_ROOT/results/result_registry.json
  2. PROJECT_ROOT/results/red_team_audit.json

二者是论文定稿的验证输入,不作为额外最终交付物。用户要求审稿或复盘时,另按主 Skill 生成带修订痕迹的 Word 和复盘文件。

执行顺序

  1. 读取 ../../评审门与证据等级.md,按题型标记每项检查为 passfailpending 或有理由的 na
  2. 独立建立主张—证据映射,不沿用原作者的确定性措辞。
  3. 优先攻击核心判据:评价对象、可见域/样本域、充分必要性、量纲、边界、集合并交、时间窗口和极端反例。
  4. 对多资源方案计算独立效果、联合效果和逐资源删除损失;删除损失为零时不得写成正边际贡献。
  5. 对离散—连续耦合问题记录离散搜索空间、候选筛选、同预算复算和未覆盖范围。只比较过候选时不得声称全局最优。
  6. 对随机或网格算法执行多种子、扰动和逐级加密;阈值由题目精度、数值尺度或预先声明的容差确定,不机械固定为1%。
  7. 将所有重复数值注册到 result_registry.json,检查摘要、正文、表、图和附录是否同源。
  8. 写入 red_team_audit.json,运行:
python scripts/red_team_gate.py "<PROJECT_ROOT>/results/red_team_audit.json"
  1. 重大失败按 reopen_stage 回退;修正后只重跑受影响计算和下游产物。评审门通过后才交给论文手。

严重度

  • critical:判据、数据、约束或实现错误足以推翻核心结论,必须回退。
  • major:结果或最优性证据不足,可能显著改变方案或论文主张,必须修正或降级表述。
  • minor:不改变核心结论的表达、格式或小数精度问题,可在论文阶段修正。

禁止事项

  • 不把评审稿、优秀案例或历史复盘当成当前题标准答案。
  • 不因测试未执行就填写 pass;条件不适用时写 na 和理由。
  • 不用“多加采样点”“多跑几代”替代对判据和搜索空间的解释。
  • 不把可行性、局部稳定性、候选中较优和全局最优混为一谈。

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.