Agent skill · Testing & QA

arsoc-transparency-and-reproducibility

Use when documenting the coverage account of an Annual Review of Sociology (ARSoc) review and the transparency obligations of any systematic-review search or meta-analysis the review itself contains. Builds the search/selection record and the reproducibility plan; it does not gather the literature (arsoc-literature-synthesis) or appraise individual studies' designs (arsoc-comprehensiveness-and-balance).

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill arsoc-transparency-and-reproducibility --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: Annual-Review-of-Sociology-Skills/skills/arsoc-transparency-and-reproducibility/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Transparency & Reproducibility for a Review (arsoc-transparency-and-reproducibility) ## When to trigger - The synthesis is settled and you must show *how* the literature was searched and selected - The review reports a quantitative synthesis (meta-analysis, meta-regression, citation analysis) of its own - A Committee member or referee is likely to ask "how did you decide what to include?" - You want the coverage account to pre-empt the predictable "you omit literature X" pushback ## What "transparency" means in a review with no primary data An ARSoc review reports **no new data of its own**, so the usual replication-package machinery (raw data, estimation code, a reproducibility README of *your* analysis) does not apply to the review's claims about the world. Transparency instead bites on two things you *do* produce: 1. **The coverage account** — a documented, near-PRISMA-style record of how the literature was searched, screened, and selected. This is what makes "comprehensive" a verifiable claim rather than a boast. 2. **Any analysis the review itself runs** — if the review contributes a meta-analysis, a citation/bibliometric analysis, or a re-coded dataset of studies, *that* ar

What's inside
Steps it walks through
  1. When to trigger
  2. What "transparency" means in a review with no primary data
  3. The coverage account (near-PRISMA, adapted for sociology)
  4. When the review runs its own analysis
  5. Checklist
  6. Anti-patterns
  7. Output format
More from Awesome-Journal-Skills
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About this skill
What does the arsoc-transparency-and-reproducibility skill do?

Use when documenting the coverage account of an Annual Review of Sociology (ARSoc) review and the transparency obligations of any systematic-review search or meta-analysis the review itself contains. Builds the search/selection record and the reproducibility plan; it does not gather the literature (arsoc-literature-synthesis) or appraise individual studies' designs (arsoc-comprehensiveness-and-balance).

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill arsoc-transparency-and-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.

Keep going