Use when preparing the replication / transparency materials for a British Journal of Political Science (BJPS) manuscript. BJPS is a DA-RT signatory and requires authors to deposit replication data and code in the BJPolS Dataverse (Harvard Dataverse) at acceptance, with restricted-access exemptions. Covers quantitative and qualitative transparency. Prepares the package; it does not waive requirements.
SkillScore82Maintained
Automatic
◆Research pack
Last verified 8/15/2026
What it changes
Passed 18 of 22 test cases with the skill, and 14 of 22 without it.
Without skill64%
With skill82%
Checks it passed that the model alone missed
Concludes with the exact tag 【Next】bjps-review-process.
Includes the bracketed summary line 【Next】bjps-review-process.
Includes the structured field 【Next】bjps-review-process at the end of the report.
and 8 more in the full report
6 fixed12 passed either way2 still failing2 broke
Pass-rate lift
+18 pp
Tokens
+5%
Agent turns
0%
Response time
-38%
Model gemini-3.6-flashMeasured 8/15/2026v118 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 6
Prompt
We have finalized our BJPS replication deposit: staged on Harvard Dataverse, master script verified, README with seeds and renv.lock included, no restricted data, no qualitative data. Format a complete readiness summary for our team.
What was checked, without and with the skill
Checked
Without skill
With skill
Includes the exact bracketed tags 【Repository】, 【Reproduces tables/figures?】, 【Documentation】, 【Restricted data?】, and 【Qualitative transparency】.
Missed
Passed
Concludes with the exact tag 【Next】bjps-review-process.
Missed
Passed
case-22 · 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.md72 linessingle file
Transparency & Replication Data (bjps-transparency-and-data)
BJPS is a signatory of the Data Access and Research Transparency (DA-RT) statement: authors "are
not allowed to withhold information used to perform an analysis featured in a BJPolS piece." At
acceptance, replication data and code are deposited in the BJPolS Dataverse on Harvard Dataverse,
which issues a citable DOI for the data. Build the package as you go so acceptance does not stall.
When to trigger
Building the replication / transparency package
A manuscript reached acceptance and you must deposit materials
Data cannot be fully shared (privacy, ethics, legal/provider restrictions) and you need the
restricted-access exemption path
A Comment that re-analyzes a published result (materials expectations are central)
What BJPS requires (verify current wording on the policy page)
Deposit to the BJPolS Dataverse. Replication data and code are uploaded to the BJPolS
Dataverse on Harvard Dataverse, the journal's dedicated collection with permanent identifiers;
you receive citation information including a DOI for the data. Not a personal website or generic
cloud link.
No withholding. You may not withhold information used to produce an analysis in the paper.
Treat the deposit as enabling independent replication, not as a formality.
Quantitative materials. Data, code, and documentation sufficient to regenerate every reported
result. Master script + README + pinned versions + seeds.
Qualitative materials. Share the materials and evidence used to support the claims (e.g.,
evidence tables, annotated sources, interview protocols), with access controls where needed (the
Qualitative Data Repository, QDR, supports controlled access).
When data cannot be shared (restricted-access exemption)
Explain why the relevant data are not available — BJPS allows exemptions for restricted-access
source data (ethical/privacy concerns or provider/legal restrictions).
Provide README instructions on exactly how others can obtain the data (access process,
application, provider contact).
Where possible, provide synthetic data resembling the unavailable data so the code can be run.
Questions about the replication policy can be directed to the BJPolS editorial staff (待核实 current
contact on the live policy page).
Use when building the replication package for an American Journal of Political Science (AJPS) manuscript. AJPS is famous for MANDATORY third-party PRE-publication verification — an independent verifier re-runs your deposited code and confirms it reproduces the numerical results in the main text before the article is published, with materials deposited to the AJPS Dataverse on Harvard Dataverse. Prepares the package; it does not waive requirements.