Use when handling data documentation, sharing, and confidentiality for an American Sociological Review (ASR) manuscript. ASR follows the ASA data-sharing policy — share data and documentation after a project's completion or major publications, with confidentiality and proprietary exemptions — rather than a mandatory editor-verified replication deposit. Prepares documentation; it does not over-state requirements.
SkillScore100Maintained
Automatic
◆Research pack
Last verified 8/15/2026
What it changes
Passed 22 of 22 test cases with the skill, and 19 of 22 without it.
Without skill86%
With skill100%
Checks it passed that the model alone missed
States that documentation should allow a generalist sociologist from another subfield to trace the evidence and pipeline
Recommends sharing the scraping and parsing code, model versions, and label validation rules rather than the copyrighted text corpus
States that ASR data sharing operates as a professional availability norm after publication rather than an editor-run mandatory replication pre-check
3 fixed19 passed either way0 still failing0 broke
Pass-rate lift
+14 pp
Tokens
+32%
Agent turns
0%
Response time
-32%
Model gemini-3.6-flashMeasured 8/15/2026v122 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 3
Prompt
We are preparing an ASR manuscript that combines public-use survey files with a scraped web corpus. A colleague asked how future researchers could inspect our quantitative workflow given platform terms of service limitations. Please evaluate our replication package plan and present your conclusions with the exact bracketed tags: 【Sharing posture】, 【Documentation】, 【Confidentiality】, 【Prior appearance】, 【Policy check】, and 【Next】.
What was checked, without and with the skill
Checked
Without skill
With skill
States that ASR data sharing operates as a professional availability norm after publication rather than an editor-run mandatory replication pre-check
Missed
Passed
Recommends sharing scraping scripts, parsing code, and variable transformation rules rather than copyrighted corpus text
Passed
Passed
case-02 · 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.md106 linessingle file
Data & Transparency (asr-data-and-transparency)
ASR's transparency expectations follow the ASA data-sharing policy, which is a professional norm
of availability — not (as at some journals) a mandatory, editor-run reproducibility check before
publication. The right posture is: document thoroughly, share what you ethically can, and be explicit
about confidentiality. Confirm the current supplementary-materials policy on the live page —
this skill does not assert a verification step the policy does not state.
When to trigger
Preparing data documentation and any supplementary materials
Deciding what can be shared given confidentiality, IRB, or proprietary constraints
Documenting qualitative or restricted-access data so claims are credible
A reviewer asked how others could check or build on your analysis
What the ASA data-sharing policy says (verify current wording)
Sociologists share data and pertinent documentation as an integral part of a research plan and
generally make data available after completion of a project or its major publications.
Exemptions: where proprietary agreements with employers, contractors, or clients preclude
sharing, or where it is impossible to share data and protect the confidentiality of research
participants.
Submitting a manuscript elsewhere while under ASR review is unethical; findings that already
appeared elsewhere must be clearly identified.
Good practice (do this even though ASR doesn't pre-verify)
Document provenance and construction. A README/codebook describing sources, sample
construction, variable definitions, and analysis steps — so the work is checkable.
Quantitative: keep a master script + pinned versions + seeds so results can be regenerated; be
ready to share code even if restricted data cannot be redistributed (give an access path).
Qualitative: protect informants — anonymize, aggregate, or restrict sensitive material;
consider a controlled-access repository (e.g., QDR) where appropriate; share what supports the
claims without exposing participants.
Confidentiality first. Human-subjects protection overrides sharing; state clearly when and why
data cannot be shared, and what can (synthetic data, code, documentation).
Transparency posture by data type (ASR / ASA norm)
Because ASR spans the discipline's methodological range under one ASA ethics umbrella, the