Agent skill

Arsoc Transparency And Reproducibility

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses 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…

MITAuto-check passedResearch & Science

Install Arsoc Transparency And Reproducibility

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill arsoc-transparency-and-reproducibility -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills arsoc-transparency-and-reproducibility --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Annual-Review-of-Sociology-Skills/skills/arsoc-transparency-and-reproducibility .claude/skills/arsoc-transparency-and-reproducibility && rm -rf skills-src

Use ~/.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/

Facts

Skill name
arsoc-transparency-and-reproducibility
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
582 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses 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…

  • Works in 2 steps: The coverage account — a documented,… → Any analysis the review itself runs — if…
  • Meta-analysis the review itself contains
  • SKILL.md covers When to trigger, What "transparency" means in a…, The coverage account… and When the review runs its own…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Arsoc Transparency And Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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).

Its SKILL.md is about 1.4k 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 and Literature review. 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

  • Meta-analysis the review itself contains
  • Tasks that involve Reproducible research
  • Tasks that involve Literature review

Example prompts

  • “/arsoc-transparency-and-reproducibility”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. The coverage account — a documented, near-PRISMA-style record of how the literature was searched, screened, and selected. This is what…
  2. Any analysis the review itself runs — if the review contributes a meta-analysis, a citation/bibliometric analysis, or a re-coded dataset…

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

Arsoc Transparency And Reproducibility loads about 1.4k tokens when it runs. Until then it costs about 111 tokens; SKILL.md has 582 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~111
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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). 582 words, ~1,397 tokens.

Download SKILL.mdSave it as .claude/skills/arsoc-transparency-and-reproducibility/SKILL.md (or your agent's skills folder).
name
arsoc-transparency-and-reproducibility
description
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).

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 artefact must be reproducible and depositable like any quantitative work.

Distinguish the two clearly: you are not defending an identification strategy of your own (there is none); you are documenting how you found and weighed others' work, and reproducing any synthesis you actually computed.

The coverage account (near-PRISMA, adapted for sociology)

Carry forward the saturation log from arsoc-literature-synthesis into a brief, sharable record:

ElementWhat to document
Databases & datesSociological Abstracts, Web of Science, Scopus, JSTOR, Google Scholar — with search dates
Search terms & traditionskeyword strings and the theoretical-tradition names swept
Inclusion / exclusionwhat counted (years, methods/modes, languages, publication types) and what was excluded and why
Mode coveragehow qualitative, computational, demographic, and theoretical work were captured (not just quant)
Saturationwhere forward/backward snowballing stopped yielding new must-cites
Countsrough numbers screened vs. discussed, so "comprehensive" is auditable

Sociology reviews are rarely strict PRISMA systematic reviews, but a near-PRISMA narrative of the search makes the coverage defensible and is increasingly expected. Confirm whether the topic warrants a formal PRISMA flow on the author pages (检索于 2026-06;以官网为准).

Show full SKILL.md (233 more words)Show less

When the review runs its own analysis

If the review contributes a meta-analysis or bibliometric study:

  • Deposit data + code in a public repository (OSF, Dataverse, Zenodo) so the synthesis is reproducible; cite the DOI.
  • State the protocol: inclusion criteria, effect-size extraction, coding rules, weighting, heterogeneity and publication-bias diagnostics.
  • Pool only commensurable studies — never reduce qualitative or theoretical work to a spurious effect size (see arsoc-tables-figures).
  • Make the coding reproducible: a second coder could re-derive your study-level codes from your codebook.

Checklist

  • Coverage account documented (databases, dates, terms, inclusion/exclusion, saturation, counts)
  • Search captured qualitative, computational, demographic, and theoretical modes, not only quant
  • Near-PRISMA narrative (or formal flow if warranted) prepared; format confirmed on author pages (volatile)
  • Any meta-analysis/bibliometric analysis: data + code deposited with a citable DOI
  • Synthesis protocol stated (inclusion, extraction, coding rules, weighting, bias diagnostics)
  • Study-level coding reproducible from a documented codebook
  • Only commensurable studies pooled into any quantitative synthesis
  • Coverage account ready to pre-empt "why did you omit X?" at review

Anti-patterns

  • Claiming "comprehensive coverage" with no documented search to back it
  • Importing primary-research replication machinery for claims the review does not itself estimate
  • Treating a narrative review as exempt from any coverage account (the gap referees probe)
  • Running a meta-analysis with no deposited data/code or no stated protocol
  • Pooling incommensurable findings (qualitative, theoretical) into a single effect size
  • Documenting only the quantitative search and silently dropping the qualitative/theoretical sweep

Output format

text
【Coverage account】databases + dates + terms + inclusion/exclusion + saturation + counts documented? Y/N
【Mode coverage】qual / computational / demographic / theoretical search documented? Y/N
【PRISMA】near-PRISMA narrative (or formal flow) prepared; format confirmed? Y/N · 待核实
【Own analysis】meta-analysis/bibliometrics deposited with DOI + protocol? Y/N · n/a
【Coding reproducibility】codebook lets a second coder re-derive codes? Y/N · n/a
【Pre-empt】coverage account answers "why omit X?" before review? Y/N
【Next step】→ arsoc-editor-strategy (scope + volume timeline) → arsoc-submission

© 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 Annual-Review-of-Sociology-Skills/skills/arsoc-transparency-and-reproducibility of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Arsoc Transparency And Reproducibility compared with similar skills
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Arsoc Transparency And Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.4kAutomated safety check: PassMIT
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Literature Search Methodologyaiming-lab/AutoResearchClaw15k—~709Automated safety check: PassMIT
Academic Deep ResearchLeoYeAI/openclaw-master-skills2.2k2 repos~6kAutomated safety check: PassMIT
Mechanical Engineering Researchhashgraph-online/awesome-codex-plugins1.3k—~2.9kAutomated safety check: PassApache-2.0
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0

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Questions about Arsoc Transparency And Reproducibility

What does Arsoc Transparency And Reproducibility do?

A skill your agent uses 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…. Arsoc Transparency And Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

When should I use Arsoc Transparency And Reproducibility?

Arsoc Transparency And Reproducibility fits situations like: meta-analysis the review itself contains; tasks that involve Reproducible research; tasks that involve Literature review.

How do I install Arsoc Transparency And Reproducibility in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill arsoc-transparency-and-reproducibility -a claude-code`. Or copy the skill folder (Annual-Review-of-Sociology-Skills/skills/arsoc-transparency-and-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/arsoc-transparency-and-reproducibility in your project. Claude Code loads it when a task matches its description.

How do I install Arsoc Transparency And Reproducibility in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill arsoc-transparency-and-reproducibility -a codex`. Or copy the skill folder (Annual-Review-of-Sociology-Skills/skills/arsoc-transparency-and-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/arsoc-transparency-and-reproducibility in your project. Codex loads it when a task matches its description.

Can I use Arsoc Transparency And 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 arsoc-transparency-and-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/arsoc-transparency-and-reproducibility, .gemini/skills/arsoc-transparency-and-reproducibility, .github/skills/arsoc-transparency-and-reproducibility and .opencode/skills/arsoc-transparency-and-reproducibility in your project.

What does Arsoc Transparency And Reproducibility need to run?

SKILL.md names no scripts, command-line tools or credentials: Arsoc Transparency And Reproducibility is instructions for the agent only.

Does Arsoc Transparency And 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 Arsoc Transparency And 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 Arsoc Transparency And Reproducibility use?

Arsoc Transparency And 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 Arsoc Transparency And Reproducibility use?

About 1.4k tokens (SKILL.md is roughly 5.6k 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 Arsoc Transparency And Reproducibility?

Skills that share tags, products or a category with Arsoc Transparency And Reproducibility: Literature Review (K-Dense-AI/scientific-agent-skills, 48k stars), Literature Search Methodology (aiming-lab/AutoResearchClaw, 15k stars), Academic Deep Research (LeoYeAI/openclaw-master-skills, 2.2k stars) and Mechanical Engineering Research (hashgraph-online/awesome-codex-plugins, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Arsoc Transparency And 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.