A Stata data-analysis and econometrics skill that writes Stata commands and do-files and runs them in a local Stata installation. Stata is software for statistics; a do-file is a script containing Stata commands.

Loading and cleaning data, exploring variables, producing descriptive statistics and tables, running regressions and hypothesis tests, analysing panel or time-series data, using instrumental variables, evaluating policies with difference-in-differences, performing robustness checks, and exporting results.

It supports repeatable analysis while keeping data loaded in a persistent Stata session, and helps avoid common mistakes such as using unknown variable names or producing unnecessarily large output.

How aliveranme/stata-mcp configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to aliveranme/stata-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/aliveranme/stata-mcp/master/.claude/skills/stata/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/aliveranme/stata-mcp

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/aliveranme/stata-mcp/stata/github.svg)](https://agentmods.dev/skills/aliveranme/stata-mcp/stata)

Your own site

<a href="https://agentmods.dev/skills/aliveranme/stata-mcp/stata"><img src="https://agentmods.dev/badge/skills/aliveranme/stata-mcp/stata/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/aliveranme/stata-mcp/stata"><img src="https://agentmods.dev/badge/skills/aliveranme/stata-mcp/stata.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 281 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 8,336 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00281	$0.08336
Opus 5.5	$0.00112	$0.03334
Sonnet 5.5	$0.00056	$0.01667
Haiku 4.5	$0.00028	$0.00834

Measured 2mo ago against content hash 4207419188fe, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

stata scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/stata/SKILL.md · 486 lines

How it starts

The opening of the file, as written. The whole thing — 486 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Stata 数据分析与计量经济学编程

概述

此 Skill 指导你撰写正确的 Stata 命令和 do 文件，并通过 MCP Server (stata) 在本地 StataNow 19 MP 环境中实时执行。你可以独立完成数据加载、清洗、分析、结果输出全流程。

MCP Server 信息：

名称：stata，75 个工具覆盖数据管理/生成、数据清洗、探索、估计、后估计、图形导出、文件资源回传、包管理与帮助、会话生命周期、长任务控制；stata_run + stata_help 覆盖全部内置命令
Stata 版本：StataNow 19 / Stata 18+（取决于安装的版本）
连接方式：本地 stdio，通过 pystata 直接调用 DLL
会话持久：Stata 在服务器启动时初始化一次，所有命令共享同一会话。数据加载后会一直保留在内存中，直到被 clear 或替换
协议版本：MCP initialize 协商支持 2024-11-05 ~ 2025-11-25（未知版本回退最新）； serverInfo.version 反映项目版本（当前 1.0.10），不是 fastmcp 框架版本

核心原则

每次分析前

先了解数据 — 使用 stata_describe 和 stata_codebook 查看变量信息
变量名大小写敏感 — mpg 和 MPG 是不同的变量
路径用正斜杠 — D:/data/file.dta，不要用反斜杠
带空格的路径用双引号包裹 — use "D:/my data/file.dta", clear
检查返回值 — 用 stata_display 查看 r(mean)、e(N)、e(r2) 等
限制输出大小 — 永远不要执行 list 而不限制观测数（见下方「输出大小控制」）

命令执行策略

单次查询 → 使用专用工具（stata_summarize、stata_tabulate 等，输出紧凑）
多步骤流程 → 使用 stata_run，用 \n 连接多条命令
已有 .do 文件 → 使用 stata_run_do_file
每次 stata_run 应包含逻辑完整的一组命令，避免零碎调用
多命令链首错即停：链中某条命令报错（变量名拼错、数据未加载、语法错）会中止后续命令并指出第一条错误 —— 这是刻意行为（对齐 Stata do 文件语义），防止后续命令在上一个错误状态上继续跑、覆盖磁盘数据。需要「跳过失败继续」时用 capture 包裹期望失败的命令。报错后先看第一条错误信息定位问题，再修正重跑，不要盲目重发整条链

输出大小控制（重要！）

始终在产生输出的命令中限制范围，避免生成几万字符的原始输出（硬上限 120K，超出部分真的被丢弃，翻页也找不回）：

命令	不推荐（输出过大）	推荐（限制输出）
`list`	`list` — 输出全部 74 条，40K 字符	`list in 1/10` — 只显示前 10 条
`summarize`	无限制 — 通常安全	`summarize varlist if condition`
`tabulate`	无限制 — 通常安全	`tabulate var in 1/100`
`browse`	不可用（GUI 命令）	改用 `list in 1/N`
`describe`	永远安全	—

分页工作流：

1. stata_list(n=10)         → 先看前 10 条了解数据结构
2. stata_summarize()         → 用描述统计看整体
3. stata_list(in_range="1/l") → 确实需要全部数据时，会自动分页
4. stata_more(page=2)        → 翻页浏览

经验法则：

观测数 < 50：list 全部输出通常 OK
观测数 50-500：list in 1/20 预览 + summarize + codebook 了解全貌
观测数 > 500：只用 summarize、tabulate、codebook，避免用 list
回归/检验命令的输出通常不会过大，无需限制

Read the full file on GitHub · 486 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 486 lines · 281 tokens per session scan A 4207419188fe

Subscribe to this mod's changes

stata is a skill published in the GitHub repository aliveranme/stata-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 281 tokens to every session and 8,336 once invoked, about $0.0011 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Analytics and metrics Scientific

stata next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
stataaliveranme/stata-mcp	Skill	0	2mo ago	MIT	A	281	Claude Code
instrument-data-to-allotropeanthropics/knowledge-work-plugins	Skill	35k	2d ago	Apache-2.0	A	123	Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	83	Claude Code
matlabK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	44	Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	71	Claude Code, Codex
research-engineerdavila7/claude-code-templates	Skill	33k	yesterday	MIT	A	43	Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmed	Skill	5.8k	yesterday	Apache-2.0	A	205	Claude Code

stata-mcp: Skill for Claude Code