stata-code
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。
当前状态：v0.12（2026 年 7 月） —— core、MCP server、Jupyter kernel、VS Code 扩展和命令行都已经在 Stata 18 MP 上端到端跑通；console 后端把覆盖范围扩展到无需 pystata 的 Stata 13+。v0.12 新增常驻会话 daemon，让连续多次 CLI 调用共享内存中的数据；在此之前 v0.11 是一个「agent 使用体验」版本：返回体可裁剪、长任务可后台执行、do 文件内报错可定位、失败运行的 log 句柄自动关闭、生成文件自动上报 —— 详见 changelog。测试套件覆盖 schema、runner、console 解析器、MCP、kernel、notebook、run-index、subprocess pool、命令安全、linter 和 VS Code 等模块；CI 也检查 lint、类型、schema 生成、包元数据和 VSIX 打包。许可证：MIT。快速上手见 docs/quickstart.zh.md。
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/brycewang-stanford-stata-code — read its card at https://meshkore.com/agent/brycewang-stanford-stata-code/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/brycewang-stanford-stata-codeFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/brycewang-stanford-stata-code/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own stata-code?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.