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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.
Passed 23 of 23 test cases with the skill, and 22 of 23 without it.
1 fixed22 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
We are submitting a paper to AER: Insights tomorrow. Should we wait until receiving a conditional acceptance before building our data and code replication package, since creating a master script and mapping exhibits takes significant time?
| Checked | Without skill | With skill |
|---|---|---|
| The response recommends preparing the replication package prior to submission. | Missed | Passed |
| The response explains that data editor verification acts as a publication gate. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
run/00_master) that regenerates every exhibit end-to-end.aeri-robustness, aeri-theory-model) must still be reproducible.data/raw (read-only) → code → output; see ../../resources/code/ for a runnable skeleton.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.
A fictional staggered-DiD paper has five exhibits and a dozen appendix tables. The package contains a
test cases passed, vs 22 / 23 without
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