Install
$ agentstack add skill-mrsgsa-math-modeling-skill-dify-model-reviewer ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
评审手
路径
ROLE_ROOT:本文件所在目录。SKILL_ROOT:ROLE_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
PROJECT_ROOT/results/result_registry.jsonPROJECT_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
- 读取
../../评审门与证据等级.md,按题型标记每项检查为pass、fail、pending或有理由的na。 - 独立建立主张—证据映射,不沿用原作者的确定性措辞。
- 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。
- 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。
- 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。
- 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%。
- 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。 - 写入
red_team_audit.json,运行:
python scripts/red_team_gate.py "/results/red_team_audit.json"
- 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。
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: MrSGSA
- Source: MrSGSA/math-modeling-skill-dify
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
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Versions
- v0.1.0 Imported from the upstream source.