# stata-code

> stata-code — brycewang-stanford-stata-code. Use this tool when you need to streamline empirical research by running statistical models like DiD, IV, and RDD, and generating publication-ready tables with cross-validation capabilities. It integrates with various coding platforms, including Claude Code, Jupyter, and VS Code, and provides a unified result schema. Ideal for researchers seeking to efficiently analyze data and validate results with minimal token economy overhead.

Canonical page: https://skillsregistry.net/skills/brycewang-stanford-stata-code  
JSON: https://api.skillsregistry.net/v1/skills/brycewang-stanford-stata-code

## Description

Agent-native Stata bridge for empirical research — run DiD/IV/RDD and publication-ready tables from Claude Code, Jupyter, or VS Code on one token-economy result schema, with StatsPAI cross-validation. | 面向实证研究的智能体 Stata 桥接器——在 Claude Code、Jupyter、VS Code 中用一套省 token 的结果格式跑 DiD/IV/RDD 与出版级表格，并支持 StatsPAI 跨栈交叉验证。

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/brycewang-stanford/stata-code)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "brycewang-stanford-stata-code"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/brycewang-stanford-stata-code` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/brycewang-stanford-stata-code/pull`

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