Agent skill

Restat Replication Package

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when assembling the data-and-code replication package for a The Review of Economics and Statistics (REStat) manuscript under the journal's Data and Code Availability Policy —…

MITAuto-check passedResearch & Science

Install Restat Replication Package

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-replication-package -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills restat-replication-package --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/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Review-of-Economics-and-Statistics-Skills/skills/restat-replication-package .claude/skills/restat-replication-package && 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
restat-replication-package
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
466 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when assembling the data-and-code replication package for a The Review of Economics and Statistics (REStat) manuscript under the journal's Data and Code Availability Policy —…

  • Tasks that involve Econometrics and empirical research
  • SKILL.md covers When to trigger, The REStat data/code bar…, Package architecture (build it… and README contents (what permits…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Statistics

What it does

Restat Replication Package is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when assembling the data-and-code replication package for a The Review of Economics and Statistics (REStat) manuscript under the journal's Data and Code Availability Policy — the deposit to the REStat Harvard Dataverse with a README that permits replication. Builds the package; it does not run the primary analysis.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Econometrics and empirical research, Statistics and Database administration. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Tasks that involve Econometrics and empirical research
  • Tasks that involve Statistics
  • Tasks that involve Database administration

Example prompts

  • “/restat-replication-package”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Restat Replication Package loads about 1.2k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 466 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~87
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 466 words, ~1,225 tokens.

Download SKILL.mdSave it as .claude/skills/restat-replication-package/SKILL.md (or your agent's skills folder).
name
restat-replication-package
description
Use when assembling the data-and-code replication package for a The Review of Economics and Statistics (REStat) manuscript under the journal's Data and Code Availability Policy — the deposit to the REStat Harvard Dataverse with a README that permits replication. Builds the package; it does not run the primary analysis.

Replication Package & Data/Code Policy (restat-replication-package)

When to trigger

  • The paper is approaching acceptance and a data/code deposit will be required
  • You use proprietary or restricted data and must plan for the policy before paying the fee
  • A README, master script, or directory structure needs to be assembled
  • You are unsure what REStat's Data and Code Availability Policy actually requires

The REStat data/code bar (refreshed 2026-06-20; live-check the official policy page)

REStat operates a Data and Code Availability Policy for empirical papers. The signature features that distinguish REStat from its siblings:

  • Deposit to the REStat Harvard Dataverse (dataverse.harvard.edu/dataverse/restat) — REStat uses a proper Dataverse archive, NOT openICPSR (which the AEA journals use) and NOT the JAE Data Archive. Getting the repository right is a load-bearing REStat detail.
  • Post data and code, with documented README files, before publication. The goal is to provide enough information to permit replication of the results in the paper.
  • Proprietary / restricted data: indicate this at submission. When data cannot be posted, you must document the data and provide instructions for how other researchers can obtain it. Practical note: if your paper uses proprietary data, the journal asks you not to pay the submission fee until the editorial office confirms your data comply with the policy.
  • Policy generally applies to papers from volume 92 onward per the REStat Harvard Dataverse API description.

Package architecture (build it as you go)

restat-replication/
  README.(md|pdf)        # the heart of the deposit — see contents below
  data/
    raw/                 # source data (or access instructions if restricted)
    processed/           # built analysis files, regenerated by code
  code/
    00_run_all.do/.R/.py # one master script regenerating EVERY exhibit
    01_build.*           # raw → processed
    02_analysis.*        # processed → estimates
    03_exhibits.*        # estimates → tables/figures
  output/
    tables/  figures/    # exactly what appears in the paper + appendix

README contents (what permits replication)

  • Data availability statement: each dataset, its source, terms, and (if restricted) exact access instructions; flag proprietary data clearly.
  • Computational requirements: software + versions (Stata 18 MP / R 4.x / Python 3.x), packages with versions, OS, approximate run time and hardware.
  • Instructions: how to run 00_run_all from raw data to every table/figure; what each script produces.
  • Mapping: a table linking each exhibit number in the paper/appendix to the script and line that generates it.
  • Seeds: set and report seeds for any simulation / bootstrap / randomization inference.
Show full SKILL.md (149 more words)Show less

Checklist

  • Target archive confirmed: REStat Harvard Dataverse (not openICPSR, not JAE)
  • One master script regenerates every table and figure from raw (or processed) data
  • README has data-availability statement, computational requirements, run instructions, exhibit↔script map
  • Software/package versions pinned; seeds set and reported
  • Proprietary/restricted data flagged at submission; access instructions documented
  • (Proprietary data) submission fee not paid until editorial office confirms policy compliance
  • Every number in the paper traces to deposited code (consistency with restat-tables-figures)

Anti-patterns

  • Depositing to openICPSR or the JAE archive — REStat uses its own Harvard Dataverse
  • Treating the package as a post-acceptance chore — assemble it alongside the analysis
  • A README that lists files but gives no run instructions or exhibit↔script mapping
  • Unpinned package versions / unset seeds — results that will not reproduce
  • Discovering only at acceptance that proprietary data cannot be posted (declare at submission)
  • Paying the submission fee on a proprietary-data paper before compliance is confirmed

Output format

【Archive】REStat Harvard Dataverse confirmed? [Y/N]
【Master script】00_run_all regenerates all exhibits from data? [Y/N]
【README】availability stmt + compute reqs + instructions + exhibit↔script map? [Y/N]
【Versions/seeds】software+packages pinned; seeds set/reported? [Y/N]
【Proprietary data】flagged at submission; access instructions; fee held? [Y/N / n/a]
【Traceability】every paper number ← deposited code? [Y/N]
【Next step】restat-referee-strategy

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Review-of-Economics-and-Statistics-Skills/skills/restat-replication-package of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Restat Replication Package 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.

Restat Replication Package compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Restat Replication Package this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT
Scholar Replicationjoshzyj/open-scholar-skill168—~19kAutomated safety check: PassCustom licence
Referee2scunning1975/MixtapeTools4732 repos~2.4kAutomated safety check: PassNone
Aer Replicationbrycewang-stanford/Auto-Empirical-Research-Skills4.5k1 repos~2.8kAutomated safety check: PassCustom licence
Audit Replicationbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~984Automated safety check: NotesCustom licence
Data Depositbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~1.2kAutomated safety check: NotesCustom licence

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Questions about Restat Replication Package

What does Restat Replication Package do?

A skill your agent uses when assembling the data-and-code replication package for a The Review of Economics and Statistics (REStat) manuscript under the journal's Data and Code Availability Policy —…. Restat Replication Package is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when assembling the data-and-code replication package for a The Review of Economics and Statistics (REStat) manuscript under the journal's Data and Code Availability Policy — the deposit to the REStat Harvard Dataverse with a README that permits replication.

When should I use Restat Replication Package?

Restat Replication Package fits situations like: tasks that involve Econometrics and empirical research; tasks that involve Statistics; tasks that involve Database administration.

How do I install Restat Replication Package in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-replication-package -a claude-code`. Or copy the skill folder (Review-of-Economics-and-Statistics-Skills/skills/restat-replication-package in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/restat-replication-package in your project. Claude Code loads it when a task matches its description.

How do I install Restat Replication Package in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-replication-package -a codex`. Or copy the skill folder (Review-of-Economics-and-Statistics-Skills/skills/restat-replication-package in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/restat-replication-package in your project. Codex loads it when a task matches its description.

Can I use Restat Replication Package 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/Awesome-Journal-Skills --skill restat-replication-package -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/restat-replication-package, .gemini/skills/restat-replication-package, .github/skills/restat-replication-package and .opencode/skills/restat-replication-package in your project.

What does Restat Replication Package need to run?

SKILL.md names no scripts, command-line tools or credentials: Restat Replication Package is instructions for the agent only. Our summary lists: Python 3.

Does Restat Replication Package 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 Restat Replication Package 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. Review the folder before installing.

What licence does Restat Replication Package use?

Restat Replication Package is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Restat Replication Package use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Restat Replication Package?

Skills that share tags, products or a category with Restat Replication Package: Scholar Replication (joshzyj/open-scholar-skill, 168 stars), Referee2 (scunning1975/MixtapeTools, 473 stars), Aer Replication (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars) and Audit Replication (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Restat Replication Package?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

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