Agent skill · Data & Analytics

jop-replication-and-data-policy

Use when preparing the replication / data-access materials for a The Journal of Politics (JOP) manuscript. JOP makes acceptance contingent on replicability — a JOP replication analyst assigned at conditional acceptance assesses the package you deposit in the JOP Dataverse (Harvard Dataverse), and non-replicable manuscripts are rejected. Prepares the package; it does not waive the requirement.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jop-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: 6 KB
Bundled scripts: none
Path: Journal-of-Politics-Skills/skills/jop-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 (jop-replication-and-data-policy) This is JOP's signature skill. JOP does not merely request a deposit — **acceptance is contingent on replicability**. A **JOP replication analyst**, assigned at **conditional acceptance**, assesses your materials before publication, and **manuscripts that are not replicable are rejected**. Build the package **as you analyze**, not at acceptance. ## When to trigger - Building the replication / data-access package (start during analysis) - A manuscript reached **conditional acceptance** and a replication analyst was assigned - Data cannot be fully shared (privacy, ethics, legal/provider restrictions) and you need the path - Any empirical, simulation-based, or formal-theoretical paper headed for JOP ## What JOP requires (verify current wording on the policy page) 1. **Replicability-contingent acceptance.** It is JOP policy to publish a paper only if the data are **accessible**, the analyses **fully documented**, and the empirical findings **reproducible**. The conditional accept is *conditional* on passing this check. 2. **The JOP replication analyst.** At conditional acceptance, a JOP analyst is assigned and **initially as

What's inside
Steps it walks through
  1. When to trigger
  2. What JOP requires (verify current wording on the policy page)
  3. When data cannot be shared (access path)
  4. Build-as-you-go checklist
  5. Anti-patterns
  6. What the analyst checks (failure-mode table)
  7. Worked micro-example (illustrative)
  8. Analyst pushback patterns and the JOP fix
  9. Output format
  10. Supplementary resources
More from Awesome-Journal-Skills
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About this skill
What does the jop-replication-and-data-policy skill do?

Use when preparing the replication / data-access materials for a The Journal of Politics (JOP) manuscript. JOP makes acceptance contingent on replicability — a JOP replication analyst assigned at conditional acceptance assesses the package you deposit in the JOP Dataverse (Harvard Dataverse), and non-replicable manuscripts are rejected. Prepares the package; it does not waive the requirement.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jop-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