Use when preparing the transparency, reporting, and data-availability materials for an American Educational Research Journal (AERJ) manuscript. AERJ expects work to meet the AERA Standards for Reporting on Empirical Social Science Research (quantitative + qualitative) and the AERA Code of Ethics expectations on making data available. Prepares the materials; it does not waive requirements.
SkillScore91Maintained
Automatic
◆Research pack
Last verified 8/15/2026
What it changes
Passed 19 of 21 test cases with the skill, and 13 of 21 without it.
Without skill64%
With skill91%
Checks it passed that the model alone missed
The output specifies aerj-review-process as the next stage value
The output includes the bracketed header 【Next】aerj-review-process
The output requires a master script that regenerates reported results
and 7 more in the full report
8 fixed12 passed either way0 still failing2 broke
Pass-rate lift
+27 pp
Tokens
+40%
Agent turns
0%
Response time
-31%
Model gemini-3.6-flashMeasured 8/15/2026v120 of 22 cases passed with skill · 21 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 7
Prompt
Audit our quantitative study package (includes master script, pinned versions, seeds, README) and format your response using the standard evaluation template.
What was checked, without and with the skill
Checked
Without skill
With skill
The output includes the bracketed header 【Documentation】README + provenance + seeds + pinned versions? [Y/N]
Missed
Passed
case-21 · gemini-3.6-flash · 8/15/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md98 linessingle file
Transparency & Data Policy (aerj-transparency-and-data-policy)
AERJ is an AERA journal: it expects reporting that is warranted and transparent, per the AERA
reporting standards, and adherence to the AERA Code of Ethics, which expects authors to make data
available for reanalysis after publication (within confidentiality and legal limits). Build
transparency in as you write, not after acceptance.
When to trigger
Aligning the manuscript with the AERA reporting standards
Planning data/code availability and documentation
Human-subjects data that cannot be fully shared (privacy, IRB, provider restrictions)
A qualitative or mixed-methods study where transparency means more than a dataset
What to satisfy (verify current wording on the official pages)
Reporting standards. Meet the AERA Standards for Reporting on Empirical Social Science
Research — adequate evidence (warrant) and explicit logic of inquiry (transparency), for both
quantitative and qualitative work. Humanities-oriented work follows the companion 2009 standards.
Data availability. Per the AERA Code of Ethics, be prepared to share data and the basis of
interpretations for reanalysis after results are published, subject to participant confidentiality
and legal/IRB limits. Document provenance and construction.
Quantitative materials. Data (or access path), code, and documentation sufficient to regenerate
reported results: master script + README + pinned versions + seeds.
Qualitative transparency. Make the analytic process inspectable — coding scheme, exemplar
evidence, audit trail, reflexivity — rather than dumping raw transcripts. QDR supports controlled
access where raw data are sensitive.
When data cannot be shared
Explain why (human-subjects confidentiality, IRB constraints, or data-provider restrictions such
as state SLDS / district agreements).
Give access instructions (application process, provider contact, restricted-use license).
Where feasible, provide synthetic or de-identified data so analysis code can be exercised.
Build-as-you-go checklist
Reporting matches the AERA standard appropriate to the method (quant / qual)
Master script regenerates every table/figure (quant) or analytic process documented (qual)
README: provenance, construction, how to reproduce/inspect each exhibit
Use when preparing the transparency, open-science, and reproducibility materials for a Communication Research (CR) manuscript — data-availability statement, deposited data/code/materials, preregistration, and the restricted-data path. Prepares the materials; it does not waive requirements.