jru-replication-package
Use when assembling the data, code, and experiment materials for a Journal of Risk and Uncertainty (JRU) manuscript and writing its Data Availability Statement. Builds a transparent, reproducible package; it does not invent evidence or citations.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jru-replication-package --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Replication Package (jru-replication-package) ## When to trigger - The paper has experimental or field results and you need a Data Availability Statement for the Springer submission - z-Tree / oTree / Qualtrics materials and the structural estimation code exist but are not organized for a stranger to run - A referee or the editor asks whether the elicitation could be reproduced from the materials provided - Decisions about what data can be shared (human-subjects constraints) versus what must be documented are unsettled ## What JRU / Springer expect JRU requires a **Data Availability Statement** on original research articles, and Springer strongly encourages sharing the underlying research data (deposit in a recognized repository, with a citable DOI where possible). For this journal the package has two faces that generic econ replication advice misses: the **experiment must be reproducible as a procedure** (instructions, screens, incentive rules — not just the resulting dataset), and the **structural estimation must be re-runnable** (code that recovers the reported parameters). Exact policy wording and any mandatory-deposit details are 待核实 — verify on the official submission guide
- When to trigger
- What JRU / Springer expect
- The two-face package
- Human-subjects and proprietary data
- Layout that a stranger can run
- Writing the Data Availability Statement
- Checklist
- Common reproducibility failures in risk papers
- Anti-patterns
- Worked vignette (illustrative)
- Output format
What does the jru-replication-package skill do?
Use when assembling the data, code, and experiment materials for a Journal of Risk and Uncertainty (JRU) manuscript and writing its Data Availability Statement. Builds a transparent, reproducible package; it does not invent evidence or citations.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jru-replication-package --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.