Literature Review
K-Dense-AI/scientific-agent-skills
Runs systematic, scoping or narrative literature reviews across PubMed, arXiv, bioRxiv and Semantic Scholar, with citation checks and Markdown or PDF output.
Agent skill
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…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill arsoc-transparency-and-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills arsoc-transparency-and-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/Annual-Review-of-Sociology-Skills/skills/arsoc-transparency-and-reproducibility .claude/skills/arsoc-transparency-and-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 "arsoc-transparency-and-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Annual-Review-of-Sociology-Skills/skills/arsoc-transparency-and-reproducibility into .claude/skills/arsoc-transparency-and-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arsoc-transparency-and-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/Annual-Review-of-Sociology-Skills/skills/arsoc-transparency-and-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 arsoc-transparency-and-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills arsoc-transparency-and-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/Annual-Review-of-Sociology-Skills/skills/arsoc-transparency-and-reproducibility .agents/skills/arsoc-transparency-and-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 "arsoc-transparency-and-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Annual-Review-of-Sociology-Skills/skills/arsoc-transparency-and-reproducibility into .agents/skills/arsoc-transparency-and-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arsoc-transparency-and-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 arsoc-transparency-and-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills arsoc-transparency-and-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/Annual-Review-of-Sociology-Skills/skills/arsoc-transparency-and-reproducibility .cursor/skills/arsoc-transparency-and-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 "arsoc-transparency-and-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Annual-Review-of-Sociology-Skills/skills/arsoc-transparency-and-reproducibility into .cursor/skills/arsoc-transparency-and-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arsoc-transparency-and-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 Annual-Review-of-Sociology-Skills/skills/arsoc-transparency-and-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 arsoc-transparency-and-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills arsoc-transparency-and-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/Annual-Review-of-Sociology-Skills/skills/arsoc-transparency-and-reproducibility .gemini/skills/arsoc-transparency-and-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 "arsoc-transparency-and-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Annual-Review-of-Sociology-Skills/skills/arsoc-transparency-and-reproducibility into .gemini/skills/arsoc-transparency-and-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arsoc-transparency-and-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 arsoc-transparency-and-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 arsoc-transparency-and-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/Annual-Review-of-Sociology-Skills/skills/arsoc-transparency-and-reproducibility .github/skills/arsoc-transparency-and-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 "arsoc-transparency-and-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Annual-Review-of-Sociology-Skills/skills/arsoc-transparency-and-reproducibility into .github/skills/arsoc-transparency-and-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arsoc-transparency-and-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 arsoc-transparency-and-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 arsoc-transparency-and-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/Annual-Review-of-Sociology-Skills/skills/arsoc-transparency-and-reproducibility .opencode/skills/arsoc-transparency-and-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 "arsoc-transparency-and-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Annual-Review-of-Sociology-Skills/skills/arsoc-transparency-and-reproducibility into .opencode/skills/arsoc-transparency-and-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arsoc-transparency-and-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.
arsoc-transparency-and-reproducibilityA 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. 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.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 582 words, ~1,397 tokens.
.claude/skills/arsoc-transparency-and-reproducibility/SKILL.md (or your agent's skills folder).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:
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.
Carry forward the saturation log from arsoc-literature-synthesis into a brief, sharable record:
| Element | What to document |
|---|---|
| Databases & dates | Sociological Abstracts, Web of Science, Scopus, JSTOR, Google Scholar — with search dates |
| Search terms & traditions | keyword strings and the theoretical-tradition names swept |
| Inclusion / exclusion | what counted (years, methods/modes, languages, publication types) and what was excluded and why |
| Mode coverage | how qualitative, computational, demographic, and theoretical work were captured (not just quant) |
| Saturation | where forward/backward snowballing stopped yielding new must-cites |
| Counts | rough 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).
If the review contributes a meta-analysis or bibliometric study:
arsoc-tables-figures).【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
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
Arsoc Transparency And 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 |
|---|---|---|---|---|---|---|
| Arsoc Transparency And Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Literature ReviewK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Literature Search Methodologyaiming-lab/AutoResearchClaw | 15k | — | ~709 | Automated safety check: Pass | MIT | |
| Academic Deep ResearchLeoYeAI/openclaw-master-skills | 2.2k | 2 repos | ~6k | Automated safety check: Pass | MIT | |
| Mechanical Engineering Researchhashgraph-online/awesome-codex-plugins | 1.3k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 |
K-Dense-AI/scientific-agent-skills
Runs systematic, scoping or narrative literature reviews across PubMed, arXiv, bioRxiv and Semantic Scholar, with citation checks and Markdown or PDF output.
aiming-lab/AutoResearchClaw
Lays out a systematic literature review method: PICO-based search strategy, inclusion criteria, PRISMA screening, quality assessment tools and synthesis approaches.
LeoYeAI/openclaw-master-skills
Transparent, rigorous research with full methodology — not a black-box API wrapper.
hashgraph-online/awesome-codex-plugins
Apply source-aware mechanical-engineering judgment to research, analysis, coding, writing, teaching, research identity, and release work.
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Imbad0202/academic-research-skills
Screens records for systematic, scoping and rapid reviews against fixed eligibility rules, using two blinded AI reviewers and a third adjudicator, with traceable PRISMA counts.
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
Categories
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.
Arsoc Transparency And Reproducibility fits situations like: meta-analysis the review itself contains; tasks that involve Reproducible research; tasks that involve Literature review.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Arsoc Transparency And Reproducibility is instructions for the agent only.
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.
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.
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.
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.
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.
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.