aeri-replication-package
Use when assembling the data and code deposit for an American Economic Review: Insights (AER: Insights) short-format manuscript to pass the AEA Data and Code Availability Policy and the AEA Data Editor's pre-publication reproducibility check.
Install / Use
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-replication-packageInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of aeri-replication-package
aeri-replication-package scores 85/100 on our quality scale, 2244th of 4,610 Development & Engineering skills we index (top 49%).
Its SKILL.md is 5.3 KB long, well organised into 10 sections with 1 code example: a solid amount of guidance for an agent.
With 1,158 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 18 days ago, so aeri-replication-package is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
aeri-replication-package compared with similar skills
All 4 of these similar skills score higher than aeri-replication-package; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| aeri-replication-package (this skill)by brycewang-stanford | 85 | 1.2k | 18d ago | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 44.8k | today | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 3d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 10d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 10d ago | SKILL.md |
Frequently asked questions
- How do I install aeri-replication-package?
- Run
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-replication-package. The install tabs above show the steps for each supported agent. - Which AI agents does aeri-replication-package work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is aeri-replication-package safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is aeri-replication-package still maintained?
- The repository was last updated 18 days ago, so aeri-replication-package is actively maintained.
Skill content
View source on GitHubname: aeri-replication-package description: Use when assembling the data and code deposit for an American Economic Review: Insights (AER: Insights) short-format manuscript to pass the AEA Data and Code Availability Policy and the AEA Data Editor's pre-publication reproducibility check. Builds the package and README; it does not run the analysis.
Replication Package — AEA Data Editor Ready (aeri-replication-package)
When to trigger
- A conditional accept is likely or in hand and the deposit is not assembled
- Unsure what the AEA Data and Code Availability Policy requires
- Results were produced ad hoc and cannot yet be regenerated by one script
- Restricted/proprietary data raise an access question for the data editor
The AEA reproducibility regime (检索于 2026-06;以官网为准)
AER: Insights enforces the AEA Data and Code Availability Policy, administered by the AEA Data Editor (Lars Vilhuber). Before publication, authors deposit data, code, and documentation sufficient to permit replication of every result in the paper and approved appendices in the AEA Data and Code Repository (openICPSR); the data editor's team verifies reproducibility before the paper is published. The short format does not shrink this requirement — the Supplemental Appendix results are in scope too. Build the package as you go, not after the conditional accept, because the verification step is a gate to publication.
What the package must contain
- All code to go from raw (or provided) data to every table, figure, and in-text number, organized and runnable.
- Data that are non-exclusive to the authors; where data are restricted, provide access instructions and the code that would run on them, plus a clear restricted-data statement.
- A master script (
run/00_master) that regenerates every exhibit end-to-end. - A README following the AEA/Social Science Data Editors README template: data sources and provenance, file-by-file description, computational requirements (software + versions), instructions to reproduce, and a mapping from each exhibit to the code that produces it.
- Seeds set and reported for any simulation, bootstrap, or randomization inference.
- Disclosure of data citations and a data availability statement.
Short-paper specifics
- Exhibit-to-code map is small but must be complete — five exhibits plus the appendix; every in-text number too.
- Online appendix is in scope. Material you pushed out of the main text to fit the cap (
aeri-robustness,aeri-theory-model) must still be reproducible. - Keep a clean separation:
data/raw(read-only) →code→output; see../../resources/code/for a runnable skeleton.
Timing relative to the fast review
Because AER: Insights decisions are conditional accept or reject with no traditional R&R
(aeri-referee-strategy), a conditional accept moves quickly to the
data-editor stage. There is no long revision phase in which to build the package retroactively. Have the
deposit essentially ready at submission, so a conditional accept does not stall on reproducibility. The
data editor's check is a gate to publication, not a formality — non-reproducible code delays or blocks
the paper regardless of the editor's decision.
Worked vignette (illustrative)
A fictional staggered-DiD paper has five exhibits and a dozen appendix tables. The package contains a
00_master script that runs 01_clean → 02_descriptive → 03_did_modern → 08_robustness →
09_tables, regenerating Figures 1–2 and Tables 1–3 plus every appendix table, with seeds set in the
bootstrap step. The README maps "Figure 1 ← code/03_did_modern.do, lines 40–80" and lists Stata 18 with
pinned csdid/reghdfe versions. The restricted payroll extract is described with an application link and
the exact code that would run on it. This is what passes the AEA Data Editor on the first pass.
Checklist
- [ ] One master script regenerates every exhibit and in-text number
- [ ] README per the AEA/SSDE template: sources, file list, requirements, exhibit→code map
- [ ] Data non-exclusive, or a restricted-data statement + access instructions + runnable code
- [ ] Software and package versions pinned; seeds set and reported
- [ ] Supplemental Appendix results reproducible too (in scope)
- [ ] Deposit prepared for the AEA Data and Code Repository (openICPSR)
- [ ] Data citations and availability statement included
Anti-patterns
- Assembling the package only after the conditional accept (verification is a publication gate)
- A README missing the exhibit→code mapping or version information
- Excluding appendix results from the reproducible set
- Hard-coded paths, unset seeds, or manual steps the master script does not capture
- Treating "short paper" as exempting any result from reproducibility
Output format
【Master script】regenerates all exhibits + in-text numbers? [Y/N]
【README】sources / file list / versions / exhibit→code map present? [Y/N]
【Data status】public deposit / restricted (statement + access + code)?
【Seeds & versions】set and pinned? [Y/N]
【Appendix in scope】appendix results reproducible? [Y/N]
【Deposit target】AEA Data and Code Repository (openICPSR)
【Next step】aeri-referee-strategy (or aeri-submission if submitting)
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
