ajs-data-and-transparency — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited ajs-data-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.
AJS's public author guidance is less prescriptive on mandatory replication than APSR or AJPS: there is no advertised editor-verified reproducibility deposit comparable to a Dataverse verification step. Do not assert a requirement that AJS does not state. The right posture is: document thoroughly, share what you ethically can, protect informants, and confirm the current supplementary-materials / data-availability policy on the live AJS pages before submission.
practice you choose**, not a stated gate; live-check current data-availability or supplementary policy before submission.
a brief originality statement saying what is new here.
standards** and leads to rejection.
variable definitions, and analysis steps so the work is checkable.
restricted data cannot be redistributed (give an access path).
followed.
material; a controlled-access repository (e.g., QDR) where appropriate; share what supports the claims without exposing participants.
data cannot be shared, and what can (synthetic data, code, documentation).
AJS is method-pluralist, so "transparency" means a checkable evidentiary trail proportionate to the claim, not a one-size deposit. Confirm current policy wording against the journal's current submission guidelines.
| Tradition | Minimum documentation | Substitute when full sharing is impossible |
|---|---|---|
| Quantitative (public data) | master script, codebook, pinned versions, seeds | post code + derivation steps |
| Quantitative (restricted) | as above + an access path | synthetic data + application instructions |
| Comparative-historical | primary-source citations, archive locators | a source appendix readers can retrieve |
| Ethnographic / interview | coding scheme, within-case sampling logic | aggregated excerpts; controlled-access deposit (QDR) |
| Network / computational | boundary rules, tie definitions, missingness | anonymized edgelist + generation code |
AJS's craftsmanship culture means referees value a documentation trail that lets a skeptical reader follow the inference — even though AJS does not advertise an editor-verified replication gate the way some political-science journals do. Unlike a parsimony-first sibling that may lean on one mandatory deposit, at AJS the depth and checkability of the tradition-appropriate trail carry the day; treat thorough documentation as a craft choice, and confirm the live data-availability policy before submission.
Illustrative: a welfare-state study draws on three archives plus a restricted panel that cannot be redistributed. Applying the table, the author posts the script and codebook, adds a source appendix with exact archive locators (an illustrative ~140 primary sources), and supplies a synthetic panel plus data-access steps — documentation chosen to make the inference checkable, not overstated as an AJS-verified deposit.
【Sharing posture】what can be shared (data / code / docs / synthetic) and what cannot, and why
【Documentation】README/codebook + provenance + (quant) seeds/pinned versions? [Y/N]
【Confidentiality】informant/participant protection handled? [Y/N]
【Originality statement】prepared if overlap with prior work? [Y/N/NA]
【Policy check】current AJS data/supplementary policy confirmed on live page? [Y/N/live-check needed]
【Next】ajs-review-process../../resources/external_tools.md — reproducibility tooling and controlled-access options (QDR)../../resources/official-source-map.md — AJS ethics / originality and the live-check boundary for data policy~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.