cscw-reproducibility
Use when strengthening the transparency of a CSCW paper — auditable qualitative analysis trails, documented trace pipelines, codebooks and instruments, and honest data-availability statements when community and participant data cannot ethically be shared.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cscw-reproducibility --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# CSCW Reproducibility and Transparency Reproducibility at CSCW cannot mean "rerun my script, get my table" — most of the venue's evidence is people, and much of it must never leave the research team. The venue's real standard is **auditability**: a skeptical reader should be able to see how you got from data to claims, and to *build on* the work, even where they cannot re-execute it. Different strands of a paper owe different transparency debts. ## What each strand owes | Evidence strand | Shareable | Auditable instead of shareable | | --- | --- | --- | | Interviews / fieldwork | Interview guide, recruitment text, codebook with definitions and example (paraphrased) excerpts | The analysis trail: coding approach, memo practice, how disagreements were resolved, how themes stabilized | | Trace / log analysis | Pipeline code, query definitions, aggregated datasets, synthetic samples | Exact API/version/date of collection; filtering decisions with counts at each step; bot/deletion handling | | Surveys | Full instrument, scale provenance, analysis scripts | Sampling frame, response/nonresponse accounting | | Deployments | System code or architecture description, condition assignment log
- What each strand owes
- The qualitative transparency trail
- The trace-pipeline ledger
- Honest availability statements
- Preregistration and its limits
- Transparency audit
What does the cscw-reproducibility skill do?
Use when strengthening the transparency of a CSCW paper — auditable qualitative analysis trails, documented trace pipelines, codebooks and instruments, and honest data-availability statements when community and participant data cannot ethically be shared.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cscw-reproducibility --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.