Install any skill in seconds. Free to start, no credit card required.
Get Started Free →brycewang-stanford/cps-transparency-and-data
Use when preparing the replication and transparency materials for a Comparative Political Studies (CPS) manuscript. Quantitative papers cannot be finally accepted until replication materials are deposited at the CPS Dataverse; a data availability statement is required. Prepares the package; it does not waive requirements.
Passed 20 of 23 test cases with the skill, and 11 of 23 without it.
and 12 more in the full report
11 fixed9 passed either way1 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
I am preparing to submit our final files for a quantitative political science paper using cross-national survey data, and I need to verify our replication materials before acceptance. Please evaluate my package readiness and structure your report with these sections: - Repository staging status on the Harvard Dataverse instance - Table and figure reproduction check via the master script - Data availability statement draft details (location or restriction justification) - Documentation check (README, provenance, random seeds, pinned versions) - Selected sharing posture route - Restricted data procedures (explanation, retrieval path, editorial contact note) - Qualitative evidence transparency check - Pre-analysis plan status (anonymization and registered versus exploratory tagging) - Next journal workflow step
| Checked | Without skill | With skill |
|---|---|---|
| Requires deposit to the CPS Dataverse on Harvard Dataverse as a condition of final acceptance | Missed | Passed |
| Specifies cps-review-process in the next step field | Missed | Passed |
| Classifies the dataset posture under the public cross-national dataset route | Missed | Passed |
The instructions your model reads when the skill loads.
CPS enforces political-science replication norms. Papers presenting quantitative analyses will not be granted final acceptance until replication materials (data, code, log files, etc.) are deposited at the CPS Dataverse on Harvard Dataverse, and every paper needs a data availability statement. Build the package as you go so final acceptance does not stall — and follow DA-RT-style transparency for qualitative evidence too.
dataverse.harvard.edu/dataverse/cps). This gates final acceptance, not post-publication.Choose the transparency route before drafting the data availability statement:
test cases passed, vs 11 / 23 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.