Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
A skill your agent uses when strengthening the transparency of a CSCW paper — auditable qualitative analysis trails, documented trace pipelines, codebooks and instruments, and honest…
Install Cscw Reproducibility
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cscw-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cscw-reproducibility --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/CSCW-Skills/skills/cscw-reproducibility .claude/skills/cscw-reproducibility && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "cscw-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CSCW-Skills/skills/cscw-reproducibility into .claude/skills/cscw-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cscw-reproducibility", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CSCW-Skills/skills/cscw-reproducibilityType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cscw-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cscw-reproducibility --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/CSCW-Skills/skills/cscw-reproducibility .agents/skills/cscw-reproducibility && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cscw-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CSCW-Skills/skills/cscw-reproducibility into .agents/skills/cscw-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cscw-reproducibility", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cscw-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cscw-reproducibility --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/CSCW-Skills/skills/cscw-reproducibility .cursor/skills/cscw-reproducibility && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "cscw-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CSCW-Skills/skills/cscw-reproducibility into .cursor/skills/cscw-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cscw-reproducibility", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path CSCW-Skills/skills/cscw-reproducibility--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cscw-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cscw-reproducibility --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/CSCW-Skills/skills/cscw-reproducibility .gemini/skills/cscw-reproducibility && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "cscw-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CSCW-Skills/skills/cscw-reproducibility into .gemini/skills/cscw-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cscw-reproducibility", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cscw-reproducibilityInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cscw-reproducibility -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/CSCW-Skills/skills/cscw-reproducibility .github/skills/cscw-reproducibility && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "cscw-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CSCW-Skills/skills/cscw-reproducibility into .github/skills/cscw-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cscw-reproducibility", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cscw-reproducibility -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cscw-reproducibility --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/CSCW-Skills/skills/cscw-reproducibility .opencode/skills/cscw-reproducibility && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "cscw-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CSCW-Skills/skills/cscw-reproducibility into .opencode/skills/cscw-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cscw-reproducibility", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
cscw-reproducibility- GitHub stars
- 1.2k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 482 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when strengthening the transparency of a CSCW paper — auditable qualitative analysis trails, documented trace pipelines, codebooks and instruments, and honest…
- Works in 3 steps: "Analysis code and aggregated measures… → "The codebook, interview guide, and… → "A synthetic dataset preserving the…
- Strengthening the transparency of a CSCW paper — auditable qualitative analysis trails
- SKILL.md covers What each strand owes, The qualitative transparency…, The trace-pipeline ledger and Honest availability statements, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Cscw Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Reproducible research. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.
When your agent uses it
- Strengthening the transparency of a CSCW paper — auditable qualitative analysis trails
- Documented trace pipelines
- Codebooks and instruments
- Honest data-availability statements when community and participant data cannot ethically be shared
Example prompts
- “/cscw-reproducibility”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- "Analysis code and aggregated measures are available at ; raw traces
- "The codebook, interview guide, and consent materials are provided; transcripts
- "A synthetic dataset preserving the marginal distributions is provided for
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Cscw Reproducibility loads about 1.2k tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 482 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 482 words, ~1,221 tokens.
Download SKILL.mdSave it as
.claude/skills/cscw-reproducibility/SKILL.md (or your agent's skills folder).- name
- cscw-reproducibility
- description
- 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.
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 logic | Site-selection reasoning; what the deployment context makes non-portable |
| Statistics anywhere | Analysis scripts keyed to each table/figure | Pre-specification vs. exploration, stated honestly |
The qualitative transparency trail
You cannot share transcripts; you can share how you thought. The auditable minimum for interpretive work:
- A codebook that could be picked up by a stranger — code names, definitions, inclusion/exclusion notes, and one paraphrased exemplar each. Whether inter-rater statistics belong depends on the tradition; saying which tradition and why is the transparency act.
- A decision log of analytic turning points: when categories merged, what disconfirming cases forced revisions. Two paragraphs in an appendix outperform a ritual "themes emerged."
- Quote provenance discipline: every quotation traceable (internally) to a participant and context, with the paraphrase/alteration policy stated in the paper.
The trace-pipeline ledger
Platform data rots. Reviewers and future researchers need the ledger even when the data cannot travel:
[Source] platform, endpoint/API version, collection dates
[Scope] query terms / community list / time window, with the WHY
[Attrition] rows at each filter step: raw → deduplicated → bot-filtered →
analysis set (counts, not adjectives)
[Constructs] each analysis variable → the raw field(s) it derives from →
the practice it is claimed to measure
[Fragility] what breaks if the platform changes (API terms, deletion policy)
[Release] what is shared: code / aggregates / synthetic sample / nothing + reasonShow full SKILL.md (184 more words)Show less
Honest availability statements
Write the data statement as a truth-telling exercise, not boilerplate. Three honest shapes:
- "Analysis code and aggregated measures are available at
<archive>; raw traces cannot be redistributed under the platform's terms and our ethics protocol." - "The codebook, interview guide, and consent materials are provided; transcripts are not shareable under the consent participants gave — we chose consent terms that protected candor over shareability, and say so."
- "A synthetic dataset preserving the marginal distributions is provided for pipeline verification."
What never survives review twice (remember the same reviewers return at R&R): "data available upon reasonable request" with no request path, and claims of sharing that the supplement does not actually contain.
Preregistration and its limits
For confirmatory quantitative strands, preregistration strengthens the paper — link it anonymized (registries support anonymous view links). Do not force exploratory or interpretive work into a preregistration costume; labeling exploration honestly is the venue's norm.
Transparency audit
[Per strand] shareable artifacts listed and actually present? y/n
[Qualitative] codebook + decision log exist? tradition named? y/n
[Trace] ledger complete incl. attrition counts? y/n
[Statement] availability text matches reality exactly? y/n
[Ethics gate] every shared artifact re-checked against consent scope? y/nRun the gate last and strictly: a transparency package that violates a consent
agreement is not a reproducibility win, it is a research-ethics failure that
cscw-artifact-evaluation exists to prevent.
© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in CSCW-Skills/skills/cscw-reproducibility of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Cscw Reproducibility next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Cscw Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT | |
| CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw | 617 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Compute Environment Setupaipoch/open-science | 5.5k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Figure Styleaipoch/open-science | 5.5k | — | ~5.1k | Automated safety check: Pass | Apache-2.0 | |
| Add Bactopia Toolbactopia/bactopia | 522 | — | ~4.1k | Automated safety check: Pass | MIT |
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Compute Environment Setup
aipoch/open-science
Prepares setup instructions and a named activation file for a user-managed software environment on an Open-Science SSH or Slurm compute host.
Figure Style
aipoch/open-science
Publication-grade correctness and legibility rules for final-deliverable scientific figures, not exploratory plots.
Add Bactopia Tool
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Scaffold a complete Bactopia Tool across all three tiers -- module, subworkflow, and workflow entry point under workflows/bactopia-tools/.
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Generates result-evidence contracts, tables and runnable q1 to q3 modeling code scaffolds for a math modeling paper from a model route, a data plan and cleaned data.
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Categories
Questions about Cscw Reproducibility
What does Cscw Reproducibility do?
A skill your agent uses when strengthening the transparency of a CSCW paper — auditable qualitative analysis trails, documented trace pipelines, codebooks and instruments, and honest…. Cscw Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.
When should I use Cscw Reproducibility?
Cscw Reproducibility fits situations like: strengthening the transparency of a CSCW paper — auditable qualitative analysis trails; documented trace pipelines; codebooks and instruments; honest data-availability statements when community and participant data cannot ethically be shared.
How do I install Cscw Reproducibility in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cscw-reproducibility -a claude-code`. Or copy the skill folder (CSCW-Skills/skills/cscw-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/cscw-reproducibility in your project. Claude Code loads it when a task matches its description.
How do I install Cscw Reproducibility in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cscw-reproducibility -a codex`. Or copy the skill folder (CSCW-Skills/skills/cscw-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/cscw-reproducibility in your project. Codex loads it when a task matches its description.
Can I use Cscw Reproducibility in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cscw-reproducibility -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cscw-reproducibility, .gemini/skills/cscw-reproducibility, .github/skills/cscw-reproducibility and .opencode/skills/cscw-reproducibility in your project.
What does Cscw Reproducibility need to run?
SKILL.md names no scripts, command-line tools or credentials: Cscw Reproducibility is instructions for the agent only.
Does Cscw Reproducibility access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Cscw Reproducibility safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Cscw Reproducibility use?
Cscw Reproducibility is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Cscw Reproducibility use?
About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Cscw Reproducibility?
Skills that share tags, products or a category with Cscw Reproducibility: Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Compute Environment Setup (aipoch/open-science, 5.5k stars) and Figure Style (aipoch/open-science, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Cscw Reproducibility?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.