cogpsych-open-science-and-transparency — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited cogpsych-open-science-and-transparency (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Because the contribution is a model fit to data, reproducibility here means more than open data: it means the model code and analysis scripts regenerate every reported fit. Authors are strongly encouraged to share data, model code, and materials. This skill prepares the deposits and the Elsevier declarations early, so the modeling is reproducible at submission rather than promised at acceptance. Confirm the current policy wording on the journal's guide for authors (检索于 2026-06；以官网为准).
mints a persistent identifier (DOI) (OSF, Mendeley Data, Dataverse, Zenodo). State availability in the Elsevier research-data statement.
analysis scripts with seeds and pinned versions; the reported fits, figures, and tables must regenerate in a fresh session. This is what makes a model-driven paper reproducible.
link a preregistration; keep confirmatory vs. exploratory consistent with it.
statement, author contributions, and any required ethics/consent statements per Elsevier policy.
limits), state exactly what is withheld, why, and how others can access or approximate it (application path, synthetic data, code release). Code transparency is usually still expected even when data are restricted.
A model statement for the recognition-memory program; confirm required headings on the official page.
Open Practices
Data: Trial-level confidence-ROC data for Experiments 1-3 are at OSF
(DOI 10.XXXX/osf.io/abcde), with a codebook.
Model code: The UVSD/DPSD fitting code (R/Stan) reproduces all reported fits,
model-comparison values, and figures in a fresh session; a seeded
run log and pinned environment are included (DOI 10.XXXX/.../fghij).
Materials: Stimulus pools, list construction, and task code are deposited
(DOI 10.XXXX/osf.io/klmno).
Preregistration: The model space and comparison criteria were preregistered
before data collection (osf.io/pqrst); one post hoc bias analysis
is reported as exploratory.
Declarations: Competing interests: none. Funding and author contributions as
stated. (If applicable: data-sharing restriction + access path.)| Situation | What to deposit / state |
|---|---|
| Fully shareable data + model code + materials | DOIs for each + a fresh-session run log |
| Sensitive human data | synthetic/aggregated data + IRB-gated access path; still share model code |
| Licensed/proprietary stimuli | share what the license allows; cite source; share task/model code |
| Secondary/third-party dataset | link source, share derivation + fitting scripts, document version |
| "Available on request" | replace with a persistent DOI before submission |
run log; the fits must regenerate, not just the data exist.
Zenodo).
【Open data】deposited + DOI + data dictionary? [Y/N]
【Model code】deposited + fits regenerate in a fresh session? [Y/N]
【Analysis scripts】seeded + versions pinned? [Y/N]
【Materials】deposited + DOI? [Y/N]
【Preregistration】linked + consistent (where applicable)? [Y/N/NA]
【Elsevier declarations】competing interest + research-data + funding? [Y/N]
【Next】cogpsych-review-process../../resources/external_tools.md — OSF, Mendeley Data, Zenodo, Stan/JAGS, renv, preregistration templates../../resources/official-source-map.md — Elsevier research-data and code-sharing policy~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.