comp-statistics-topic SKILL.md skillA
comp-statistics-topic from fourteen1416/academic-agent-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add fourteen1416/academic-agent-toolkit/comp-statistics-topic@git:20260927.0c37720Pins git:20260927.0c37720 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- fourteen1416/academic-agent-toolkit
- Path
academic-toolkit/skills/comp-statistics-topic/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260927.0c37720, committed Sep 27, 2026
- First version recorded
- Sep 23, 2026
- Size
- 10,981 bytes
- Repository stars
- 12
- License
- a license file GitHub does not identify
统计建模大赛选题与数据规划。根据官方主题方向，自拟具体题目、设计研究方案、规划数据来源。Use when user says ”统计建模选题”, ”stats topic”, ”自拟题目”.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 统计建模大赛：选题与数据规划 根据官方主题方向进行选题和研究设计：**$ARGUMENTS** ## 背景 统计建模大赛与数学建模竞赛不同：没有固定赛题，需自拟题目、自找数据，侧重统计方法规范性。 ## 工作流程 ### Step 1: 主题解读与选题 搜索相关热点和公开数据，提出 3-5 个候选题目，每个包含：研究问题、数据来源、统计方法、创新点、可行性。 ### Step 2: 数据源规划 公开数据源：国家统计局、中国知网、Wind、CSMAR、UCI、Kaggle、世界银行、WHO。 优先使用 `user_data/` 中已有数据。 ### Step 3: 研究设计 研究问题（2-3 个子问题）、研究设计（按题目类型调整）、论文结构规划。 **根据题目类型选择研究设计框架**： - **因果推断类**（DID/RDD/IV/政策评估/影响因素）：研究假设（H1/H2/H3）→ 变量定义（因变量/自变量/控制变量）→ 统计方法（描述性统计→回归分析→稳健性检验→异质性分析） - **预测类**（时序预测/需求预测/趋势预测）：预测目标定义 → 特征变量选择 → 模型候选列表（≥3 个模型）→ 评价指标（MAE/RMSE/MAPE/R²）→ 训练/验证/测试划分策略 - **分类/聚类类**（用户画像/异常检测/模式识别）：分类/聚类目标定义 → 特征工程方案 → 模型候选列表 → 评价指标（Accuracy/F1/AUC/Silhouette）→ 交叉验证策略 - **综合评价类**（效率评价/质量排名/指标体系）：评价对象与目标 → 指标体系层次结构 → 权重确定方法（AHP/熵权法/组合赋权）→ 综合评价模型（TOPSIS/灰色关联/DEA） ### Step 4: 数据来源建议 列出推荐的数据获取方式（网站名+具体数据集名），不写代码 — 代码由 comp-code 负责。 ### Step 5: 图表预规划 在输出前，**读取图表范例文件**了解统计建模获奖论文的图表分布： ```bash # 1. 读图表范例和套餐（了解各方法类型推荐的图表组合） cat _utils/figure_exemplars.md 2>/dev/null || cat skills/shared-scripts/figure_exemplars.md # 2. 读图表选择指南（了解每种图表的适用场景和数据特征匹配） cat _utils/figure_style_guide.md 2>/dev/null || cat skills/shared-scripts/figure_style_guide.md ``` …
Read the whole file at its exact version.
How to install
mdr add fourteen1416/academic-agent-toolkit/comp-statistics-topic@sha256:c0ec4348c746819cThe line at the top of this page pins the label git:20260927.0c37720, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_m5wqwjqruxtihpwq)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Sep 23, 2026 and Sep 27, 2026, about one every 2 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260927.0c37720 latest | 2026-09-27 | 0c37720 | 10,981 B | A | view · diff |
| git:20260927.efd5131 | 2026-09-27 | efd5131 | 10,987 B | A | view · diff |
| git:20260923.ee897a0 | 2026-09-23 | ee897a0 | 11,564 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10981 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
fourteen1416/academic-agent-toolkit · 12 stars · license a license file GitHub does not identify · pushed 2026-10-27 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_m5wqwjqruxtihpwq GET https://markdownregistry.com/api/v1/resolve?ref=fourteen1416/academic-agent-toolkit/comp-statistics-topic GET https://markdownregistry.com/api/v1/blob/c0ec4348c746819ce9645f457348a4c9df4c2e1d71b7acd60b4d123eed1eb058
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.