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capwitf/My-MathModeling-skills
随叫随用、证据链驱动的 CUMCM / 数理解、建模学建模 Skills:覆盖题面、复现、图表、审查与提交门禁。
History
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Heat
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Individual skills in this repository
- math-abstract
math-abstract - math-code
math-code - math-compliance
math-compliance - math-consistency
math-consistency - math-figure
math-figure - math-hub
math-hub - math-latex
math-latex - math-literature
math-literature - math-model
math-model - math-problem-reader
math-problem-reader - math-review
math-review - math-table
math-table - math-templates
math-templates - math-verifier
math-verifier
How it works
math-abstract
When your agent uses it
Use when 高教社杯/CUMCM/电工杯 mathematical modeling abstracts, keywords, highlights, first-page claims, or high-density summaries need drafting, revision, audit, or style diagnosis, especially when feedback mentions too many numbers, weak focus, process-listing, empty official prose, buzzwords, missing structure, weak keywords, unsupported values, or first-page claim verification.
What it loads into context
Frontmatter
85 tokensAlways available to the agent
SKILL.md
2,300 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Required Inputs
- Workflow
- First-Screen Judge Check
- Subproblem Coverage Table
- Chinese Contest Abstract Style Gate
- Number Selection
- One-Minute Scan
- Common Failure Repairs
- Claim Rules
- Format Gate
- Red Flags
- Anti-Template-Residue Check
- Output Contract
Files
SKILL.mdcore11,288 bytesagents/openai.yamlasset444 bytes
Read SKILL.md
# Contest Abstract
## Purpose
Turn contest evidence into a dense, judge-friendly abstract, keywords, and first-page claim set.
Two modes:
- **Style coaching mode**: diagnose or rewrite a user-provided abstract for readability, focus, number burden, contest prose, and first-screen judge value. Use only claims supplied by the user; mark evidence gaps instead of inventing support.
- **Paper-ready mode**: generate or approve a final abstract only from verified paper evidence, using the evidence gates below.
Core rule: the abstract follows evidence. No number, ranking, feasibility statement, robustness statement, or innovation claim may appear in paper-ready text unless traceable to the body, table, figure, formula, registry row, or run log.
National-first quality gate: `国一候选` is a quality target, not an award promise (`不承诺获奖`). The abstract may compress only conclusions that show 题目贴合, 建模洞察, 证据可信, 可复现, and 边界清楚. A catchy but unsupported claim must be downgraded to an evidence gap.View the complete source on GitHubmath-code
When your agent uses it
Use when 高教社杯/CUMCM 数学建模任务需要实现计算、复现结果、生成表图、验证求解器输出、更新登记表,或发现建模交接中不能凭空补全的缺口。
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
2,908 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 用途
- 运行前检查
- 执行流程
- 仿真执行门禁
- 数值稳定性硬检查
- 鲁棒性证据门禁
- 图表生产门禁
- 优化诊断
- 登记表标准
- AI 披露边界
- 输出约定
- 红线
- 阻塞协议
Files
SKILL.mdcore13,529 bytesSKILL.mdcore13,529 bytesSKILL.mdcore13,529 bytesSKILL.mdcore13,529 bytesSKILL.mdcore13,529 bytesagents/openai.yamlasset571 bytes
Read SKILL.md
# 竞赛代码与复现
## 用途
Execute contest calculations from a completed modeling handoff and produce reproducible tables, figures, logs, and evidence records.
核心规则:代码服从模型。若交接中公式、单位、阈值、输入或预期输出不明确,报告缺口,不用貌似合理的值补齐。
国一候选门槛:代码产物必须保护题目贴合、建模洞察、证据可信、可复现、边界清楚;这是提交质量门槛,不承诺获奖。计算脚本不仅要跑出数值,还要保留输入、参数、单位、基准、验证状态和降级边界,使评委能复核核心结论。
硬门禁:代码可以发现证据,但没有建模交接、完整运行记录、验证状态和登记表行时,不能把新发现的数值提升为论文就绪结果。
## 运行前检查
View the complete source on GitHubmath-compliance
When your agent uses it
Use when 高教社杯/CUMCM 数学建模论文需要检查官方规则、匿名性、AI 使用披露、页数、附录/支撑材料、代码复现、提交清单或最终提交就绪状态。
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
1,569 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 用途
- 规则来源门禁
- 合规检查面
- AI 使用披露门禁
- 复现门禁
- 提交清单约定
- 输出约定
- 红线
Files
SKILL.mdcore7,249 bytesSKILL.mdcore7,249 bytesSKILL.mdcore7,249 bytesSKILL.mdcore7,249 bytesagents/openai.yamlasset359 bytes
Read SKILL.md
# 竞赛合规与提交
## 用途
Gate the submission against official rules and reproducibility requirements. Treat compliance as part of the mathematical result: a strong model can still lose if the package is non-compliant, non-anonymous, or unreproducible.
核心规则:官方竞赛规则和用户提供的通知高于本地风格、往年习惯和模板记忆。
国一候选门槛:合规层只放行题目贴合、建模洞察、证据可信、可复现、边界清楚且不触犯规则的提交包;这是提交质量门槛,不承诺获奖。格式漂亮但规则来源、匿名性、AI 披露或复现证据缺失时,必须阻塞最终提交。
硬门禁:只要当前官方规则来源未知、匿名风险未关闭、必需附件缺失、要求披露时 AI 使用披露未解决,或核心代码不能复现论文引用结果,最终提交就必须阻塞。
返回规则:本技能只把发现返回 `math-hub`。可以建议修复面,但不能直接路由、派发或调用另一个技能。
View the complete source on GitHubmath-consistency
When your agent uses it
Use when 高教社杯/CUMCM 数学建模论文、摘要、正文、表图、附录、登记表、结论、数值、单位、场景标签、可行性措辞或提交包需要跨材料一致性审查。
What it loads into context
Frontmatter
64 tokensAlways available to the agent
SKILL.md
1,496 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 用途
- 必要输入
- 审查流程
- 一致性规则
- 摘要布尔项
- 产物约定
- 输出约定
- 红线
Files
SKILL.mdcore6,582 bytesSKILL.mdcore6,582 bytesSKILL.mdcore6,582 bytesagents/openai.yamlasset439 bytes
Read SKILL.md
# 竞赛一致性审查
## 用途
Audit whether the same claim means the same thing everywhere it appears. Compare abstract, body, tables, figures, appendix, code outputs, and registries for value, unit, scenario, baseline, feasibility, and wording drift.
核心规则:论文可以压缩证据,但不能改变结论的数值、分母、单位、场景、验证状态或确定性等级。
国一候选门槛:一致性审查保证题目贴合、建模洞察、证据可信、可复现、边界清楚在摘要、正文、表图、附录和支撑材料中保持同一含义;这是提交质量门槛,不承诺获奖。任何数值、单位、场景或证据状态漂移都会削弱国一候选质量。
硬门禁:只要任何高价值结论缺少一致的证据行,或在不同材料中措辞冲突,摘要、结论、正文主图和最终结果表都必须阻塞。
返回规则:本技能只把发现返回 `math-hub`。可以建议修复面,但不能直接路由、派发或调用另一个技能。
View the complete source on GitHubmath-figure
When your agent uses it
Use when 高教社杯/CUMCM 数学建模论文需要规划、选择、审查或修复图、图表、表格转图、图注、图像证据行、正文放置、附录降级或图后结论。
What it loads into context
Frontmatter
65 tokensAlways available to the agent
SKILL.md
1,013 tokensWhen the skill is activated
Reference documents
4,718 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 用途
- Figure First Principles
- Evidence Contract
- Selection And Review
- Visual Readiness
- Output Contract
- Red Lines
Scripts executed separately
assets/chart-templates/paper_style.pyassets/high-impact-templates/figures4papers/figure_CellSpliceNet/plot_ablation.pyassets/high-impact-templates/figures4papers/figure_CellSpliceNet/plot_comparison.pyassets/high-impact-templates/figures4papers/figure_CellSpliceNet/plot_comparison_cross_species.pyassets/high-impact-templates/figures4papers/figure_Cflows/diffusion_swiss_roll.pyassets/high-impact-templates/figures4papers/figure_Cflows/plot_comparison_Ablation.pyassets/high-impact-templates/figures4papers/figure_Cflows/plot_comparison_GeneRegulatory.pyassets/high-impact-templates/figures4papers/figure_Cflows/plot_comparison_Trajectory.pyassets/high-impact-templates/figures4papers/figure_Dispersion/plot_idea.pyassets/high-impact-templates/figures4papers/figure_Dispersion/plot_illustration.pyassets/high-impact-templates/figures4papers/figure_FPGM/plot_freq_prior.pyassets/high-impact-templates/figures4papers/figure_ImmunoStruct/plot_bars.pyassets/high-impact-templates/figures4papers/figure_ImmunoStruct/raw_data.pyassets/high-impact-templates/figures4papers/figure_RNAGenScape/plot_comparison.pyassets/high-impact-templates/figures4papers/figure_RNAGenScape/plot_hole_manifold.pyassets/high-impact-templates/figures4papers/figure_RNAGenScape/plot_manifold.pyassets/high-impact-templates/figures4papers/figure_RNAGenScape/plot_sweep.pyassets/high-impact-templates/figures4papers/figure_VIGIL/plot_ablation.pyassets/high-impact-templates/figures4papers/figure_VIGIL/plot_comparison_radar.pyassets/high-impact-templates/figures4papers/figure_VIGIL/plot_concept.pyassets/high-impact-templates/figures4papers/figure_VIGIL/plot_posttraining.pyassets/high-impact-templates/figures4papers/figure_brainteaser/plot_brute_force.pyassets/high-impact-templates/figures4papers/figure_brainteaser/plot_correctness_by_category.pyassets/high-impact-templates/figures4papers/figure_brainteaser/plot_correctness_by_subcategory.pyassets/high-impact-templates/figures4papers/figure_brainteaser/plot_rewriting.pyassets/high-impact-templates/figures4papers/figure_brainteaser/plot_selfcorrection_math.pyassets/high-impact-templates/figures4papers/figure_ophthal_review/plot_composition.pyassets/high-impact-templates/figures4papers/figure_ophthal_review/plot_trend.pyscripts/check_contest_figure.pyscripts/profile_result_table.py
Files
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Read SKILL.md
# 图表证据
## 用途
Select, generate, or review figures that prove a claim. Main-body figures must carry mechanism, comparison, robustness, or decision evidence; diagnostic and dense support figures default to appendix.
Read `math-hub/references/quality-contract.md` only when promoting a figure to paper-ready, classifying blocked status, running a final gate, or writing a cross-module handoff. Local chart choice or visual repair can stay lightweight.
## Figure First Principles
- One main-body figure should prove one central claim.
- Prefer tables for exact values and figures for patterns, mechanisms, tradeoffs, and robustness.
- Do not include every generated figure.
- Write a caption, one post-figure conclusion, and one boundary/risk note near the figure.View the complete source on GitHubmath-hub
When your agent uses it
Use when 高教社杯/CUMCM 数学建模项目需要竞赛级范围控制、轻量 hub 状态、当前分问交付物锁定、文献启发式解题路线、结论/证据一致性、数学核验、结果一致性审查、官方规则合规、AI 使用披露跟踪、最终提交门禁或明确任务派发。
What it loads into context
Frontmatter
93 tokensAlways available to the agent
SKILL.md
2,115 tokensWhen the skill is activated
Reference documents
32,556 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Modes
- Startup Lock
- Event Gates
- QC Output
- Core Artifacts
- Routing
- Evidence Rules
- Hub Red Lines
Files
SKILL.mdcore10,053 bytesSKILL.mdcore10,053 bytesSKILL.mdcore10,053 bytesagents/openai.yamlasset300 bytesreferences/a-problem-2024-casebank.mddoc7,808 bytesreferences/a-problem-decision-tree.mddoc6,826 bytesreferences/a-problem-pattern-library.mddoc8,692 bytesreferences/a-problem.mddoc1,948 bytesreferences/architect.mddoc3,842 bytesreferences/artifacts-schema.mddoc37,126 bytesreferences/code.mddoc7,248 bytesreferences/figure-evidence-rules.mddoc8,824 bytesreferences/forward-test-protocol.mddoc3,734 bytesreferences/innovation-generator.mddoc7,629 bytesreferences/modeler.mddoc4,317 bytesreferences/quality-contract.mddoc3,523 bytesreferences/review.mddoc5,564 bytesreferences/scoring.mddoc6,107 bytesreferences/writer.mddoc3,094 bytesreferences/writing-templates.mddoc18,254 bytes
Read SKILL.md
# Math Contest Hub
## Purpose
Act as the contest QC governor. Lock the active problem, subquestion, deliverables, model route quality, evidence status, wording consistency, official-rule risk, and allowed next module before downstream paper-ready work proceeds.
Quality target: `national-first-candidate` means 国一候选 quality and does not promise an award. The hub protects task fit, modeling insight, evidence, reproducibility, and boundaries without forcing every request into a long workflow.
Read `math-hub/references/quality-contract.md` only when promoting paper-ready work, classifying blocked status, running a final gate, or writing a cross-module handoff. For local advice, exploratory checks, and layout/style repairs, keep the answer local and do not load the shared contract unless the result is being promoted.
## Modes
- **QC mode**: default. Answer whether the current work is off-task, unsupported, inconsistent, non-reproducible, or non-compliant if submitted now.
- **dispatch mode**: use only when the user asks to split work, delegate lanes, create a DAG, or assign modules. Start from the QC lock and route the smallest blocker.View the complete source on GitHubmath-latex
When your agent uses it
Use when 高教社杯/CUMCM 数学建模论文需要 LaTeX 排版、模板保持、中英文摘要、公式、表格、图、参考文献、匿名性、页数、浮动体或最终 PDF 质量检查。
What it loads into context
Frontmatter
62 tokensAlways available to the agent
SKILL.md
1,599 tokensWhen the skill is activated
Reference documents
4,608 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 用途
- 核心流程
- 结构规则
- 图表密度门禁
- 标题与证据规则
- 公式与记号规则
- 表格
- 竞赛高频排版修复
- 合规报告门禁
- 最终 PDF 视觉检查
- 输出预期
- 红线
Files
SKILL.mdcore7,379 bytesSKILL.mdcore7,379 bytesagents/openai.yamlasset546 bytesreferences/final-checklist.mddoc3,073 bytesreferences/latex-patterns.mddoc14,399 bytes
Read SKILL.md
# 竞赛 LaTeX 排版
## 用途
Format mathematical modeling papers for submission. Prefer compliance, readability, and evidence visibility over decorative restyling.
核心规则:评委读到的是 PDF。必须编译并检查渲染后的页面,而不是只看源代码。
国一候选门槛:排版必须让题目贴合、建模洞察、证据可信、可复现、边界清楚被评委快速看到;这是提交质量门槛,不承诺获奖。版面修饰不能替代证据链,任何影响可读性、匿名性、页数或表图可核验性的布局都要阻塞最终状态。
硬门禁:官方模板和提交规则高于本地审美偏好。规则未知时,最终排版状态必须阻塞。
## 核心流程
View the complete source on GitHubmath-literature
When your agent uses it
Use when 高教社杯/CUMCM mathematical modeling papers need lightweight literature search, citation verification, method/background references, standards or policy sources, Chinese-English source routing, DOI/BibTeX checks, or claim-to-citation mapping without fabricated sources.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
666 tokensWhen the skill is activated
Reference documents
2,037 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Source Routing
- Workflow
- Output Contract
- Red Lines
Files
SKILL.mdcore3,134 bytesSKILL.mdcore3,134 bytesSKILL.mdcore3,134 bytesSKILL.mdcore3,134 bytesSKILL.mdcore3,134 bytesSKILL.mdcore3,134 bytesSKILL.mdcore3,134 bytesSKILL.mdcore3,134 bytesSKILL.mdcore3,134 bytesSKILL.mdcore3,134 bytesSKILL.mdcore3,134 bytesSKILL.mdcore3,134 bytesSKILL.mdcore3,134 bytesSKILL.mdcore3,134 bytesagents/openai.yamlasset306 bytesreferences/citation-evidence-contract.mddoc2,407 bytesreferences/contest-scope.mddoc2,344 bytesreferences/search-workflow.mddoc3,150 bytesreferences/source-tiers.mddoc1,986 bytes
Read SKILL.md
# Contest Literature
## Purpose
Plan lightweight source work, verify citations, map claims to references, and prevent fabricated or over-broad literature support in contest papers.
This skill is for citation and source verification in 高教社杯/CUMCM work. If the user needs literature to generate solution ideas or compare candidate model routes, return the source gap and route-search need to `math-hub`; do not reverse-cite a finished model.
国一候选门槛:引用工作应服务题目贴合、建模洞察、证据可信、可复现、边界清楚;这是提交质量门槛,不承诺获奖。
For a citation-backed `paper_ready` claim, final gate, or cross-module handoff, apply the current `math-hub` evidence rules. Local source triage can stay lightweight.
## Source Routing
View the complete source on GitHubmath-model
When your agent uses it
Use when 高教社杯/CUMCM 数学建模任务需要变量、假设、公式、约束、算法、验证设计、鲁棒性规划、灵敏度分析、结果 schema,或基于题面和本地证据的代码交接。
What it loads into context
Frontmatter
65 tokensAlways available to the agent
SKILL.md
1,507 tokensWhen the skill is activated
Reference documents
658 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 用途
- Required Inputs
- Modeling Flow
- Route Triage
- Robustness Plan
- PoC Gate
- Code Handoff
- Verification Handoff
- Output Contract
- Red Lines
Files
SKILL.mdcore7,271 bytesSKILL.mdcore7,271 bytesagents/openai.yamlasset318 bytesreferences/robustness-protocol.mddoc3,193 bytes
Read SKILL.md
# 竞赛建模
## 用途
Turn the locked problem brief into a problem-driven model route: variables, constraints, assumptions, units, objective/mechanism, validation, robustness plan, result schema, and code handoff.
Read `math-hub/references/quality-contract.md` only when promoting a route to paper-ready, classifying blocked status, preparing a final gate, or writing a cross-module handoff. For exploratory model sketches, keep the boundary local and do not load the shared contract by default.
Do not choose an algorithm because it sounds advanced. First state what mathematical problem the subquestion is, then choose the simplest route that can answer the required deliverable.
## Required Inputs
- `problem_brief.md` and `deliverable_matrix.csv`, or an equivalent current lock from `math-problem-reader`/`math-hub`;
- active subquestion, input data, assumptions, limits, and expected output;View the complete source on GitHubmath-problem-reader
When your agent uses it
Use when 高教社杯/CUMCM 数学建模任务刚开始、题面/附件/分问/交付物需要解读,或需要把模糊题意、隐含条件、数据字段、递推关系和评分侧重转成可建模的问题锁定。
What it loads into context
Frontmatter
73 tokensAlways available to the agent
SKILL.md
568 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 用途
- Reading Flow
- Output Contract
- Red Lines
Files
SKILL.mdcore2,685 bytesSKILL.mdcore2,685 bytesagents/openai.yamlasset312 bytes
Read SKILL.md
# 题面解读
## 用途
Lock what the contest problem actually asks before modeling. Separate signal from noise, identify deliverables, translate vague wording into mathematical quantities, inspect attachments, and map subquestion dependencies.
Read `math-hub/references/quality-contract.md` only when promoting paper-ready interpretation, classifying blocked status, running a final gate, or writing a cross-module handoff. Ordinary first-read triage should stay lightweight.
Core rule: prove the team understands the problem before choosing a model. If deliverables, data fields, constraints, dependencies, or scoring focus are unknown, downstream work is `diagnostic-only`.
## Reading Flow
1. Identify contest, problem id, official materials, and attachments.
2. Split statement text into signal, constraints, deliverables, and background noise.View the complete source on GitHubmath-review
When your agent uses it
Use when 高教社杯/CUMCM 数学建模论文、模型、结果集、摘要、图表包或提交草稿需要评委视角审查、评分风险映射、结论/证据检查、创新审查或可能追问准备。
What it loads into context
Frontmatter
65 tokensAlways available to the agent
SKILL.md
1,717 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 用途
- 审查视角
- 评委可读性门禁
- 严重级别门禁
- 量化评分风险
- 结论与证据约定
- 创新与追问风险
- 输出约定
- 红线
Files
SKILL.mdcore7,866 bytesSKILL.mdcore7,866 bytesSKILL.mdcore7,866 bytesagents/openai.yamlasset431 bytes
Read SKILL.md
# Contest Review
## 用途
Audit contest work from the judge's side of the table. Treat every result, figure, formula, paragraph, and package file as something a tired but sharp reviewer must verify quickly.
核心规则:审查是硬门禁,不是安慰性总结。结论只有在相关性、洞察、可信度、可复现性和边界措辞都可见时才可接受。
国一候选门槛:审查目标是让论文接近“国一候选”,但不承诺获奖。所有高价值结论都要同时显示题目贴合、建模洞察、证据可信、可复现、边界清楚;若只是格式合规或语言漂亮,仍按 P2 或更高风险处理。
硬门禁:只要当前论文、证据产物、代码包、匿名性表面或合规记录中仍有开放的 P0 或 P1 问题,最终提交就必须阻塞。
返回规则:本技能只把发现返回 `math-hub`。可以建议修复面,但不能直接路由、派发或调用另一个技能。
View the complete source on GitHubmath-table
When your agent uses it
Use when 高教社杯/CUMCM 数学建模论文需要格式化、修复、压缩或审查符号表、记号表、结果表,包括单位清理、longtable、列宽平衡或按截图修排版。
What it loads into context
Frontmatter
62 tokensAlways available to the agent
SKILL.md
882 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 用途
- 流程
- 一致性检查
- 表格清单门禁
- 红线
- 推荐模式
- 输出规则
Files
SKILL.mdcore3,690 bytesSKILL.mdcore3,690 bytesSKILL.mdcore3,690 bytesSKILL.mdcore3,690 bytesagents/openai.yamlasset395 bytes
Read SKILL.md
# 符号表与结果表
## 用途
Format notation tables without changing mathematical meaning.
核心规则:先保护符号和定义。排版修改不能悄悄重命名变量、改变定义域或修改单位。
国一候选门槛:表格必须让题目贴合、建模洞察、证据可信、可复现、边界清楚变得更可核验;这是提交质量门槛,不承诺获奖。符号、单位、来源和场景标签不清楚时,排版再紧凑也不能进入论文就绪状态。
硬门禁:单位是模型的一部分,不是装饰。单位未知或冲突时,符号表不能进入论文就绪状态。
## 流程
View the complete source on GitHubmath-templates
When your agent uses it
Use when 高教社杯/CUMCM mathematical modeling work needs lightweight reusable paper assets, national-prize style paragraph templates, section controls, per-question code/plot/test scaffolds, evidence registries, paper fragments, reproduction scripts, or safe reuse of prior contest project structure without copying old problem-specific content.
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
1,449 tokensWhen the skill is activated
Reference documents
14,908 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Asset Root
- Reference Routing
- Optional Full Scaffold
- Asset Selection
- Reuse Safety
- Output Contract
Scripts executed separately
assets/contest-project-template/problem_template/src/compute_template.pyassets/contest-project-template/problem_template/src/plot_template.pyassets/contest-project-template/problem_template/tests/test_pipeline_template.pyassets/contest-project-template/reproduce_all.py
Files
SKILL.mdcore6,933 bytesSKILL.mdcore6,933 bytesagents/openai.yamlasset558 bytesassets/contest-project-template/paper/fragments/fragment_protocol.mddoc965 bytesassets/contest-project-template/paper/paragraph_phrases_national.mddoc4,907 bytesassets/contest-project-template/paper/problem_guide_template.mddoc1,210 bytesassets/contest-project-template/paper/section_templates_national.mddoc15,014 bytesassets/contest-project-template/problem_template/src/compute_template.pyruns2,568 bytesassets/contest-project-template/problem_template/src/plot_template.pyruns2,792 bytesassets/contest-project-template/problem_template/tests/test_pipeline_template.pyruns2,012 bytesassets/contest-project-template/project_manifest_template.mddoc782 bytesassets/contest-project-template/registries/figure_evidence.csvasset294 bytesassets/contest-project-template/registries/numerical_diagnostics.csvasset104 bytesassets/contest-project-template/registries/result_registry.csvasset146 bytesassets/contest-project-template/registries/run_record.csvasset176 bytesassets/contest-project-template/reproduce_all.pyruns615 bytesreferences/asset-library-index.mddoc3,663 bytesreferences/assumption-evaluation-controls.mddoc5,587 bytesreferences/contest-language-guardrails.mddoc3,325 bytesreferences/national-prize-style-profile.mddoc2,115 bytesreferences/official-exemplar-notes.mddoc1,608 bytesreferences/paragraph-flow.mddoc3,171 bytesreferences/prior-contest-patterns.mddoc1,834 bytesreferences/section-format-controls.mddoc4,037 bytesreferences/template-usage.mddoc3,707 bytes
Read SKILL.md
# Math Modeling Templates
## Purpose
Provide lightweight reusable assets for 高教社杯/CUMCM-style mathematical modeling papers and support packages. Use the assets to preserve good structure, not to import old conclusions.
Core rule: reuse structure, not old content. Unless the user explicitly says prior contest material is current source evidence, do not copy old problem names, numbers, scenario labels, file paths, figure titles, or conclusions into a new project.
National-first quality gate: `国一候选` is a quality target, not an award promise (`不承诺获奖`). Template use is acceptable only when it helps the current paper show 题目贴合, 建模洞察, 证据可信, 可复现, and 边界清楚. A template sentence, old project scaffold, or chart script cannot replace current evidence.
Language/output boundary: skill reasoning, template selection, schemas, code scaffolds, algorithms, file names, registry statuses, LaTeX commands, English literature terms, and official rule quotations may stay English; 该英文就用英文. Paper-facing deliverables should default to Chinese contest prose: paper body, abstract snippets, copyable paragraph templates, project manifests, and reproduction user messages. Do not sacrifice model judgment, evidence chains, reproducibility, or terminology precision for localization (`不因中文化牺牲`).
Exact boundary for audits: the skill's internal 判断 may use English; only final 产出 inside paper-facing 交付文件 defaults to Chinese. Keep 算法名, 字段, code identifiers, and 官方规则原文 unchanged when precision would otherwise be lost.
View the complete source on GitHubmath-verifier
When your agent uses it
Use when 高教社杯/CUMCM 数学建模方案需要在代码、图表、摘要或最终提交前独立核验公式、单位、量纲、约束、边界情形、可行性措辞、假设或论文就绪数学结论。
What it loads into context
Frontmatter
69 tokensAlways available to the agent
SKILL.md
1,198 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 用途
- 必要输入
- 核验检查
- 产物约定
- 输出约定
- 红线
Files
SKILL.mdcore5,221 bytesSKILL.mdcore5,221 bytesagents/openai.yamlasset373 bytes
Read SKILL.md
# 数学核验
## 用途
Verify the math before it becomes paper language. Treat this skill as an independent hard gate for dimensional consistency, formula back-substitution, boundary behavior, feasibility claims, and assumption loss.
核心规则:不要解新问题,也不要发明缺失的模型部件。只按题面、建模交接、符号表和证据产物核验已经写出、算出或声称的内容。
国一候选门槛:数学核验必须保证题目贴合、建模洞察、证据可信、可复现、边界清楚有公式、单位、约束和边界案例支撑;这是提交质量门槛,不承诺获奖。漂亮结论只要无法回代、无法闭合单位或无法说明边界,就不能进入论文就绪状态。
硬门禁:单位、定义域、约束、边界条件、公式回代或可行性措辞只要未检查、不一致或未知,模型结论就不能进入论文就绪状态。
返回规则:本技能只把发现返回 `math-hub`。可以建议修复面,但不能直接路由、派发或调用另一个技能。
View the complete source on GitHubSkills included
- math-abstract
- math-code
- math-compliance
- math-consistency
- math-figure
- math-hub
- math-latex
- math-literature
- math-model
- math-problem-reader
- math-review
- math-table
- math-templates
- math-verifier
Repository facts
- License
- MIT
- Created
- Jun 11, 2026
- Last pushed
- Jul 19, 2026
- Forks
- 1
- Open issues
- 0
- Project activity
- Slowing
Before you install
Local scriptsAutomated signals, not a guarantee
Checked Nov 5, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
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math-code/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmath-code/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmath-code/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmath-code/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmath-compliance/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmath-compliance/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmath-compliance/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmath-consistency/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmath-consistency/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmath-figure/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmath-figure/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmath-figure/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmath-figure/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmath-hub/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmath-hub/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmath-latex/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmath-literature/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmath-literature/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmath-literature/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmath-literature/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- No dangerous shell commands
- No network access
- No hidden or obfuscated text
- No instruction overrides
- No access to secrets
- No requests to vote in Hot
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math-templates/assets/contest-project-template/reproduce_all.py
- Executable scriptline 1
Executable file
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Signal confidence: 34 facts
- Executable script in code of a file that runsmath-figure/assets/chart-templates/paper_style.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_CellSpliceNet/plot_ablation.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_CellSpliceNet/plot_comparison.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_CellSpliceNet/plot_comparison_cross_species.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_Cflows/diffusion_swiss_roll.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_Cflows/plot_comparison_Ablation.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_Cflows/plot_comparison_GeneRegulatory.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_Cflows/plot_comparison_Trajectory.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_Dispersion/plot_idea.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_Dispersion/plot_illustration.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_FPGM/plot_freq_prior.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_ImmunoStruct/plot_bars.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_ImmunoStruct/raw_data.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_RNAGenScape/plot_comparison.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_RNAGenScape/plot_hole_manifold.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_RNAGenScape/plot_manifold.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_RNAGenScape/plot_sweep.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_VIGIL/plot_ablation.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_VIGIL/plot_comparison_radar.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_VIGIL/plot_concept.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_VIGIL/plot_posttraining.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_brainteaser/plot_brute_force.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_brainteaser/plot_correctness_by_category.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_brainteaser/plot_correctness_by_subcategory.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_brainteaser/plot_rewriting.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_brainteaser/plot_selfcorrection_math.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_ophthal_review/plot_composition.py:1High confidence
- Executable script in code of a file that runsmath-figure/assets/high-impact-templates/figures4papers/figure_ophthal_review/plot_trend.py:1High confidence
- Executable script in code of a file that runsmath-figure/scripts/check_contest_figure.py:1High confidence
- Executable script in code of a file that runsmath-figure/scripts/profile_result_table.py:1High confidence
- Executable script in code of a file that runsmath-templates/assets/contest-project-template/problem_template/src/compute_template.py:1High confidence
- Executable script in code of a file that runsmath-templates/assets/contest-project-template/problem_template/src/plot_template.py:1High confidence
- Executable script in code of a testmath-templates/assets/contest-project-template/problem_template/tests/test_pipeline_template.py:1Low confidence
- Executable script in code of a file that runsmath-templates/assets/contest-project-template/reproduce_all.py:1High confidence
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md math-abstract/SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md math-abstract/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md math-abstract/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md math-abstract/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md math-abstract/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md math-abstract/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.