Agent skill · Data & Analytics

jet-replication-and-data-policy

Use when handling the Journal of Economic Theory (JET) data/code expectations — JET is theorem-proof oriented, but Elsevier Option C applies when research data exist: deposit/cite/link data in a repository or explain why sharing is not possible. Focuses on reproducible computation when a paper has any, plus generative-AI disclosure. Light by design.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jet-replication-and-data-policy --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: Journal-of-Economic-Theory-Skills/skills/jet-replication-and-data-policy/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Replication & Data Policy (jet-replication-and-data-policy) ## When to trigger - Your JET paper includes numerical examples, simulations, or computed results and you want to share them well - You are checking what JET requires for data/code at submission or acceptance - You need to get the generative-AI disclosure right ## What JET actually requires - **No journal-run replication archive.** Unlike empirical AEA / Econometric Society journals, JET has no JAE-Data-Archive-style replication archive. Most JET papers are pure theory, so the main reproducibility object is the proof and any supplementary appendix. - **Elsevier Option C applies when research data exist.** Deposit research data in a relevant repository and cite/link it, or state why the data cannot be shared. Data statements are supported in the submission flow and appear with the published article. - **Pure theorem papers still need a clear statement.** If there are no external research data and no computation, say so plainly. If there are numerical examples, simulations, or computer-assisted proof steps, make those artifacts reproducible and link/deposit them where appropriate. - **Generative-AI disclosure is required:*

What's inside
Steps it walks through
  1. When to trigger
  2. What JET actually requires
  3. Reproducible-computation playbook (when the paper has computation)
  4. What to package, by content type
  5. Supplementary-appendix culture (the theory analogue of replication)
  6. Companion README template
  7. Anti-patterns
  8. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the jet-replication-and-data-policy skill do?

Use when handling the Journal of Economic Theory (JET) data/code expectations — JET is theorem-proof oriented, but Elsevier Option C applies when research data exist: deposit/cite/link data in a repository or explain why sharing is not possible. Focuses on reproducible computation when a paper has any, plus generative-AI disclosure. Light by design.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jet-replication-and-data-policy --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going