Run replication, robustness, and specification-sensitivity workflows for Stata projects.

Custom licenceAuto-check passedResearch & Science

Install Stata Replication

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata-replication -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills stata-replication --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/64-tmonk-mcp-stata/skills/stata-replication .claude/skills/stata-replication && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
stata-replication
GitHub stars
4.5k
Token cost
~195 tokens
SKILL.md length
62 words
Files
6 (incl. scripts, references)
Skills in repo
364
Repo updated
First seen
Licence
Custom licence

At a glance

Run replication, robustness, and specification-sensitivity workflows for Stata projects.

  • Works in 4 steps: Identify the replication entrypoint. → Run the baseline cleanly and capture… → Compare requested variants in a… → …
  • A researcher wants to reproduce a result
  • Runs Python scripts from its folder
  • Rerun a pipeline

What it does

Stata Replication is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Run replication, robustness, and specification-sensitivity workflows for Stata projects. Use when a researcher wants to reproduce a result, rerun a pipeline, compare specifications, audit a do-file sequence, or check whether a claim is stable.

Its SKILL.md is about 200 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `agents/openai.yaml`, `manifest.json` and `references/workflow.md`).

It sits in Research & Science, covering Econometrics and empirical research and Database administration. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • A researcher wants to reproduce a result
  • Rerun a pipeline
  • Compare specifications
  • Audit a do-file sequence

Example prompts

  • “/stata-replication”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Identify the replication entrypoint.
  2. Run the baseline cleanly and capture logs and stored results.
  3. Compare requested variants in a structured way.
  4. Say whether the result truly replicates, partly matches, or breaks.

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Stata Replication loads about 195 tokens when it runs, and up to ~317 if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 62 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~195
With references · SKILL.md plus every file in references/, read only if the agent opens them
~317

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 62 words (~195 tokens).

“Use this skill for reproducibility work rather than one-off execution.”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
stata-replication

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files (scripts, references) in skills/64-tmonk-mcp-stata/skills/stata-replication of brycewang-stanford/Auto-Empirical-Research-Skills.

  • SKILL.md
  • agents/openai.yaml
  • manifest.json
  • references/workflow.md
  • scripts/compare_specs.py
  • scripts/summarize_log.py

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Stata Replication next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Stata Replication compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Stata Replication this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~195Automated safety check: PassCustom licence
Referee2scunning1975/MixtapeTools4702 repos~2.4kAutomated safety check: PassNone
Ectheory Replication And Data Policyfranklee16/academic-research-skills2231 repos~983Automated safety check: PassNone
Joe Replication And Data Policyfranklee16/academic-research-skills2231 repos~986Automated safety check: PassNone
Qe Replication And Data Policyfranklee16/academic-research-skills2231 repos~1.2kAutomated safety check: PassNone
Eer Replication Packagebrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT

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Questions about Stata Replication

What does Stata Replication do?

Run replication, robustness, and specification-sensitivity workflows for Stata projects. Stata Replication is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Run replication, robustness, and specification-sensitivity workflows for Stata projects.

When should I use Stata Replication?

Stata Replication fits situations like: A researcher wants to reproduce a result; rerun a pipeline; compare specifications; audit a do-file sequence.

How do I install Stata Replication in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata-replication -a claude-code`. Or copy the skill folder (skills/64-tmonk-mcp-stata/skills/stata-replication in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/stata-replication in your project. Claude Code loads it when a task matches its description.

How do I install Stata Replication in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata-replication -a codex`. Or copy the skill folder (skills/64-tmonk-mcp-stata/skills/stata-replication in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/stata-replication in your project. Codex loads it when a task matches its description.

Can I use Stata Replication in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata-replication -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/stata-replication, .gemini/skills/stata-replication, .github/skills/stata-replication and .opencode/skills/stata-replication in your project.

What does Stata Replication need to run?

Going by SKILL.md and its folder, Stata Replication needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Stata Replication access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Stata Replication safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Stata Replication use?

Stata Replication has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Stata Replication use?

About 195 tokens (SKILL.md is roughly 780 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 122 tokens, read only when the agent opens those files.

What are the alternatives to Stata Replication?

Skills that share tags, products or a category with Stata Replication: Referee2 (scunning1975/MixtapeTools, 470 stars), Ectheory Replication And Data Policy (franklee16/academic-research-skills, 223 stars), Joe Replication And Data Policy (franklee16/academic-research-skills, 223 stars) and Qe Replication And Data Policy (franklee16/academic-research-skills, 223 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Stata Replication?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,529 GitHub stars. The repository holds 364 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.