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
Arpsych Transparency And Reproducibility
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when documenting the literature search and making any embedded meta-analysis reproducible for an Annual Review of Psychology (ARPsych) review.
Install Arpsych Transparency And Reproducibility
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill arpsych-transparency-and-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills arpsych-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-Psychology-Skills/skills/arpsych-transparency-and-reproducibility .claude/skills/arpsych-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 "arpsych-transparency-and-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Annual-Review-of-Psychology-Skills/skills/arpsych-transparency-and-reproducibility into .claude/skills/arpsych-transparency-and-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arpsych-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-Psychology-Skills/skills/arpsych-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 arpsych-transparency-and-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills arpsych-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-Psychology-Skills/skills/arpsych-transparency-and-reproducibility .agents/skills/arpsych-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 "arpsych-transparency-and-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Annual-Review-of-Psychology-Skills/skills/arpsych-transparency-and-reproducibility into .agents/skills/arpsych-transparency-and-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arpsych-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 arpsych-transparency-and-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills arpsych-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-Psychology-Skills/skills/arpsych-transparency-and-reproducibility .cursor/skills/arpsych-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 "arpsych-transparency-and-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Annual-Review-of-Psychology-Skills/skills/arpsych-transparency-and-reproducibility into .cursor/skills/arpsych-transparency-and-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arpsych-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-Psychology-Skills/skills/arpsych-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 arpsych-transparency-and-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills arpsych-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-Psychology-Skills/skills/arpsych-transparency-and-reproducibility .gemini/skills/arpsych-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 "arpsych-transparency-and-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Annual-Review-of-Psychology-Skills/skills/arpsych-transparency-and-reproducibility into .gemini/skills/arpsych-transparency-and-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arpsych-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 arpsych-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 arpsych-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-Psychology-Skills/skills/arpsych-transparency-and-reproducibility .github/skills/arpsych-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 "arpsych-transparency-and-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Annual-Review-of-Psychology-Skills/skills/arpsych-transparency-and-reproducibility into .github/skills/arpsych-transparency-and-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arpsych-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 arpsych-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 arpsych-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-Psychology-Skills/skills/arpsych-transparency-and-reproducibility .opencode/skills/arpsych-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 "arpsych-transparency-and-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Annual-Review-of-Psychology-Skills/skills/arpsych-transparency-and-reproducibility into .opencode/skills/arpsych-transparency-and-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arpsych-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.
Facts
- Skill name
arpsych-transparency-and-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 documenting the literature search and making any embedded meta-analysis reproducible for an Annual Review of Psychology (ARPsych) review.
- Works in 2 steps: How the literature was found and… → Any quantitative synthesis the review…
- Documenting the literature search and making any embedded meta-analysis reproducible for an Annual Review of Psychology (ARPsych) review
- SKILL.md covers When to trigger, A review reports no new data —…, If the review is narrative (no… and If the review embeds a…, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Arpsych Transparency And Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when documenting the literature search and making any embedded meta-analysis reproducible for an Annual Review of Psychology (ARPsych) review. Covers search transparency, meta-analytic rigor, and open materials; it does not run the narrative search (arpsych-literature-synthesis) or design exhibits (arpsych-tables-figures).
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 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
- Documenting the literature search and making any embedded meta-analysis reproducible for an Annual Review of Psychology (ARPsych) review
- Tasks that involve Reproducible research
- Tasks that involve Literature review
Example prompts
- “/arpsych-transparency-and-reproducibility”
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- How the literature was found and selected — the search protocol from arpsych-literature-synthesis, written up so a reader could reproduce…
- Any quantitative synthesis the review itself contributes — if you compute pooled effects, that is original analysis, and it must be…
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
Arpsych Transparency And Reproducibility loads about 1.2k tokens when it runs. Until then it costs about 92 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, ~1,168 tokens.
Download SKILL.mdSave it as
.claude/skills/arpsych-transparency-and-reproducibility/SKILL.md (or your agent's skills folder).- name
- arpsych-transparency-and-reproducibility
- description
- Use when documenting the literature search and making any embedded meta-analysis reproducible for an Annual Review of Psychology (ARPsych) review. Covers search transparency, meta-analytic rigor, and open materials; it does not run the narrative search (arpsych-literature-synthesis) or design exhibits (arpsych-tables-figures).
Transparency & Reproducibility (arpsych-transparency-and-reproducibility)
When to trigger
- The review documents a systematic search and you must report it reproducibly
- The review embeds a meta-analysis or any new quantitative synthesis
- You are deciding what to deposit (search log, coding sheet, effect-size data, code)
- A reader or the Committee should be able to verify how the literature was selected
A review reports no new data — so transparency bites elsewhere
A pure narrative review has no dataset of its own, so the transparency obligation does not look like a primary-paper replication package. It bites on two things:
- How the literature was found and selected — the search protocol from
arpsych-literature-synthesis, written up so a reader could reproduce the coverage. - Any quantitative synthesis the review itself contributes — if you compute pooled effects, that is original analysis, and it must be reproducible (检索于 2026-06；以官网为准).
Post-replication-crisis, ARPsych readers expect both, and a review that asserts "the literature shows…" with no documented basis reads as less authoritative.
If the review is narrative (no meta-analysis)
- Report the search: databases, terms, date range, inclusion/exclusion, and the stopping rule — a short, near-PRISMA-style account suffices.
- State selection logic: why these studies and not others (especially when the field is large and you are selective).
- Be explicit about replication status of contested effects (this is part of transparency, not just balance).
If the review embeds a meta-analysis
Then you have run original analysis and must meet quantitative-synthesis standards:
| Requirement | What to provide |
|---|---|
| PRISMA-style flow | search → screening → included, with counts at each step |
| Coding protocol | how effects were extracted/coded; inter-coder reliability |
| Effect-size dataset | the extracted effects + moderators, deposited |
| Analysis code | scripts reproducing the pooled estimates and plots |
| Heterogeneity + bias | I², moderators, funnel/publication-bias diagnostics |
| Preregistration (if applicable) | protocol/PROSPERO registration where the synthesis was prospective |
Deposit data and code in a public repository (e.g., OSF) and cite the DOI in the review.
Show full SKILL.md (175 more words)Show less
Required declarations (检索于 2026-06；以官网为准)
Annual Reviews requires authors to disclose potential sources of bias / conflicts of interest and to state funding; prepare these per the author pages. AI tools are not authors. Re-confirm the exact disclosure format on the live Annual Reviews pages.
Checklist
- Search protocol written up reproducibly (databases, terms, dates, in/out, stopping rule)
- Selection logic stated where coverage is selective
- Replication status of contested effects made explicit
- If meta-analytic: PRISMA-style flow with counts
- If meta-analytic: coding protocol + inter-coder reliability reported
- If meta-analytic: effect-size data + analysis code deposited (OSF DOI cited)
- If meta-analytic: heterogeneity and publication-bias diagnostics reported
- COI / potential-bias disclosure + funding prepared; AI not listed as author
Anti-patterns
- "The literature shows…" with no documented search behind the claim
- Reporting pooled effects with no deposited data or code (irreproducible meta-analysis)
- A meta-analysis with no heterogeneity or publication-bias assessment
- Treating a review's transparency like a primary-paper replication package (wrong object)
- Omitting the conflict-of-interest / potential-bias disclosure Annual Reviews requires
- Listing an AI tool as an author or hiding its use where disclosure is required
Output format
【Review type】narrative | embedded-meta-analysis
【Search transparency】protocol documented reproducibly? Y/N
【If meta-analysis】PRISMA flow + coding + reliability? Y/N
【Open materials】effect data + code deposited (OSF DOI)? Y/N | N/A
【Heterogeneity / bias】I² + funnel/pub-bias reported? Y/N | N/A
【Declarations】COI / bias disclosure + funding prepared; AI not author? Y/N
【Next step】→ arpsych-editor-strategy (align scope/timeline with the Editor)© 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-Psychology-Skills/skills/arpsych-transparency-and-reproducibility of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Arpsych 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 |
|---|---|---|---|---|---|---|
| Arpsych Transparency And Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.2k | 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 |
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Literature Search Methodology
aiming-lab/AutoResearchClaw
Lays out a systematic literature review method: PICO-based search strategy, inclusion criteria, PRISMA screening, quality assessment tools and synthesis approaches.
Academic Deep Research
LeoYeAI/openclaw-master-skills
Transparent, rigorous research with full methodology — not a black-box API wrapper.
Mechanical Engineering Research
hashgraph-online/awesome-codex-plugins
Apply source-aware mechanical-engineering judgment to research, analysis, coding, writing, teaching, research identity, and release work.
Nature Paper Card
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.
Systematic Review Screener
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.
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Categories
Questions about Arpsych Transparency And Reproducibility
What does Arpsych Transparency And Reproducibility do?
A skill your agent uses when documenting the literature search and making any embedded meta-analysis reproducible for an Annual Review of Psychology (ARPsych) review. Arpsych Transparency And Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when documenting the literature search and making any embedded meta-analysis reproducible for an Annual Review of Psychology (ARPsych) review.
When should I use Arpsych Transparency And Reproducibility?
Arpsych Transparency And Reproducibility fits situations like: documenting the literature search and making any embedded meta-analysis reproducible for an Annual Review of Psychology (ARPsych) review; tasks that involve Reproducible research; tasks that involve Literature review.
How do I install Arpsych Transparency And Reproducibility in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill arpsych-transparency-and-reproducibility -a claude-code`. Or copy the skill folder (Annual-Review-of-Psychology-Skills/skills/arpsych-transparency-and-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/arpsych-transparency-and-reproducibility in your project. Claude Code loads it when a task matches its description.
How do I install Arpsych Transparency And Reproducibility in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill arpsych-transparency-and-reproducibility -a codex`. Or copy the skill folder (Annual-Review-of-Psychology-Skills/skills/arpsych-transparency-and-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/arpsych-transparency-and-reproducibility in your project. Codex loads it when a task matches its description.
Can I use Arpsych 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 arpsych-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/arpsych-transparency-and-reproducibility, .gemini/skills/arpsych-transparency-and-reproducibility, .github/skills/arpsych-transparency-and-reproducibility and .opencode/skills/arpsych-transparency-and-reproducibility in your project.
What does Arpsych Transparency And Reproducibility need to run?
SKILL.md names no scripts, command-line tools or credentials: Arpsych Transparency And Reproducibility is instructions for the agent only.
Does Arpsych 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 Arpsych 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 Arpsych Transparency And Reproducibility use?
Arpsych 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 Arpsych Transparency And Reproducibility use?
About 1.2k tokens (SKILL.md is roughly 4.7k 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 Arpsych Transparency And Reproducibility?
Skills that share tags, products or a category with Arpsych 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 Arpsych 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.