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rt-replication-package

Testing & Quality
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Use before final submission or on acceptance to assemble and validate the Data-Editor replication package against the target venue's data-and-code policy — master script, pinned environment, README/roadmap, restricted-data plan, and a script-to-exhibit output map, with a checklist that catches the numbers a Data Editor would fail to reproduce. Reads the venue policy live from the pack's source-map.

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How to use this skill

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  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
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I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/brycewang-stanford/Awesome-Journal-Skills/blob/HEAD/Research-Toolkit-Skills/skills/rt-replication-package/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/rt-replication-package/. Do not write files or run scripts until I approve.

After I approve, install the complete skill folder, including required referenced files, into that project location. Verify it is discoverable, then tell me its actual invocation name and how to use it. Do not claim it is installed until you have verified it.

Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

Replication Package (rt-replication-package)

The step that now blocks acceptance at the top (AEA / JF / Management Science Data Editors re-run your code and check every number). Full manifest + validation checklist: shared-resources/empirical-methods/replication-package.md.

When to trigger

  • Approaching final submission, or a conditional accept with a data-and-code requirement.
  • A Data Editor / verification service needs the package.

What it does

  1. Read the venue policy from the target pack's resources/official-source-map.md (code at submission vs. acceptance? Data Editor? AsCollected page? restricted-data rule? hosting?). Match it exactly.
  2. Assemble the manifest: master script (raw → all exhibits), ordered steps (clean → construct → estimate → robustness → tables), pinned environment, README/roadmap, data (or pseudo/synthetic data for restricted access + access instructions), the script→exhibit output map, and the disclosure statement.
  3. Validate with the checklist: runs clean end-to-end on a fresh machine; every reported number reproduced (body + appendix); seeded/deterministic; restricted-data plan; output map complete; venue policy satisfied.

Hard rules

  1. Every reported number traces to a script step (body and appendix).
  2. Deterministic — pin versions, seed RNGs.
  3. Restricted data → pseudo/synthetic data + access instructions, never confidential data committed.
  4. Match the venue's exact policy from the source-map; re-verify before submission.
  5. Keep it in sync with the execution bridge — when a revision re-runs an estimate, regenerate the affected outputs.

Output format

【Venue policy】(code timing, Data Editor, restricted-data rule, hosting)
【Manifest】master · steps · env · README · data · output-map · disclosure — status each
【Validation】end-to-end ✓/✗ · all numbers reproduced ✓/✗ · seeded ✓/✗ · restricted-data plan ✓/✗
【Blocking gaps】what would fail a Data-Editor check, ranked
【Ready?】GO / NOT-YET — deciding items

Anti-patterns

  • "Works on my machine" (absolute paths, unpinned versions, manual steps); reported numbers the script doesn't reproduce; committing confidential data; leaving assembly to post-accept crunch.