Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
Agent skill
Ppsych Transparency And Reproducibility
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when meeting open-science and reproducibility obligations for a Perspectives on Psychological Science (PoPS) piece — repository deposit for any original data, a documented…
Install Ppsych Transparency And Reproducibility
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ppsych-transparency-and-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ppsych-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/Perspectives-on-Psychological-Science-Skills/skills/ppsych-transparency-and-reproducibility .claude/skills/ppsych-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 "ppsych-transparency-and-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Perspectives-on-Psychological-Science-Skills/skills/ppsych-transparency-and-reproducibility into .claude/skills/ppsych-transparency-and-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ppsych-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/Perspectives-on-Psychological-Science-Skills/skills/ppsych-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 ppsych-transparency-and-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ppsych-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/Perspectives-on-Psychological-Science-Skills/skills/ppsych-transparency-and-reproducibility .agents/skills/ppsych-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 "ppsych-transparency-and-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Perspectives-on-Psychological-Science-Skills/skills/ppsych-transparency-and-reproducibility into .agents/skills/ppsych-transparency-and-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ppsych-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 ppsych-transparency-and-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ppsych-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/Perspectives-on-Psychological-Science-Skills/skills/ppsych-transparency-and-reproducibility .cursor/skills/ppsych-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 "ppsych-transparency-and-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Perspectives-on-Psychological-Science-Skills/skills/ppsych-transparency-and-reproducibility into .cursor/skills/ppsych-transparency-and-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ppsych-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 Perspectives-on-Psychological-Science-Skills/skills/ppsych-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 ppsych-transparency-and-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ppsych-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/Perspectives-on-Psychological-Science-Skills/skills/ppsych-transparency-and-reproducibility .gemini/skills/ppsych-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 "ppsych-transparency-and-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Perspectives-on-Psychological-Science-Skills/skills/ppsych-transparency-and-reproducibility into .gemini/skills/ppsych-transparency-and-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ppsych-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 ppsych-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 ppsych-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/Perspectives-on-Psychological-Science-Skills/skills/ppsych-transparency-and-reproducibility .github/skills/ppsych-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 "ppsych-transparency-and-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Perspectives-on-Psychological-Science-Skills/skills/ppsych-transparency-and-reproducibility into .github/skills/ppsych-transparency-and-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ppsych-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 ppsych-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 ppsych-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/Perspectives-on-Psychological-Science-Skills/skills/ppsych-transparency-and-reproducibility .opencode/skills/ppsych-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 "ppsych-transparency-and-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Perspectives-on-Psychological-Science-Skills/skills/ppsych-transparency-and-reproducibility into .opencode/skills/ppsych-transparency-and-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ppsych-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
ppsych-transparency-and-reproducibility- GitHub stars
- 1.2k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 615 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when meeting open-science and reproducibility obligations for a Perspectives on Psychological Science (PoPS) piece — repository deposit for any original data, a documented…
- Works in 4 steps: Preregister the sampling frame,… → Deposit the coded dataset, the coding… → Report reliability for subjective coding… → …
- A documented and ideally preregistered systematic protocol for meta-science
- SKILL.md covers When to trigger, Why this matters more at PoPS…, What the obligation bites on… and PoPS / SAGE policy facts (检索于…, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Ppsych Transparency And Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when meeting open-science and reproducibility obligations for a Perspectives on Psychological Science (PoPS) piece — repository deposit for any original data, a documented and ideally preregistered systematic protocol for meta-science, and exemplary disclosure (PoPS is an open-science leader). Builds the transparency layer; it does not draft the synthesis (ppsych-organizing-framework) or run the submission preflight (ppsych-submission).
Its SKILL.md is about 1.5k 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
- A documented and ideally preregistered systematic protocol for meta-science
- Exemplary disclosure (PoPS is an open-science leader)
Example prompts
- “/ppsych-transparency-and-reproducibility”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Preregister the sampling frame, inclusion/exclusion rules, and the coding scheme (OSF/AsPredicted) before coding, and report the…
- Deposit the coded dataset, the coding manual, and the analysis scripts (R/Python) in a public repository (OSF, GitHub + Zenodo DOI).
- Report reliability for subjective coding (two coders, inter-rater agreement) so the prevalence claims are not one reader's judgment.
- Make figures reproducible — every prevalence/forest exhibit regenerates from the deposited data and script.
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
Ppsych Transparency And Reproducibility loads about 1.5k tokens when it runs. Until then it costs about 121 tokens; SKILL.md has 615 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). 615 words, ~1,543 tokens.
Download SKILL.mdSave it as
.claude/skills/ppsych-transparency-and-reproducibility/SKILL.md (or your agent's skills folder).- name
- ppsych-transparency-and-reproducibility
- description
- Use when meeting open-science and reproducibility obligations for a Perspectives on Psychological Science (PoPS) piece — repository deposit for any original data, a documented and ideally preregistered systematic protocol for meta-science, and exemplary disclosure (PoPS is an open-science leader). Builds the transparency layer; it does not draft the synthesis (ppsych-organizing-framework) or run the submission preflight (ppsych-submission).
Transparency & Reproducibility (ppsych-transparency-and-reproducibility)
When to trigger
- The piece reports or reuses any original data and you must make it available
- The piece is meta-science and its systematic coverage/coding must be reproducible
- You are deciding what to preregister, deposit, and disclose for a field-shaping reform piece
- You want the open-science layer to be drafted from live identifiers, not promised at acceptance
Why this matters more at PoPS than almost anywhere
PoPS is a leading venue for the open-science and replication movement — much of the meta-science that reshaped psychology's methods appeared here. The journal's readers and reviewers hold reform-adjacent work to its own standard: a piece arguing for transparency that is itself opaque loses all authority. The bar is exemplary practice, especially for the reform/meta-science pieces that are PoPS's signature. Build the transparency layer early so the statements are written from real DOIs and OSF links, not aspirations.
What the obligation bites on (by piece type)
| Piece type | Where transparency applies |
|---|---|
| Integrative review / theoretical statement | the systematic coverage account (search strategy, inclusion/exclusion from ppsych-literature-synthesis); no new data of its own |
| Meta-science / methodology | the systematic protocol — sampling frame, coding scheme, double-coding/reliability, and the data + code behind every prevalence figure or statistic |
| Meta-analysis with a superordinate message | full meta-analytic dataset, effect-size extraction, and analysis code, reproducibly deposited |
| Any piece including original data | the data must be in a repository; the cover letter confirms ethical data collection (检索于 2026-06；以官网为准) |
PoPS / SAGE policy facts (检索于 2026-06；以官网为准 — re-confirm on the author pages)
- Original data → repository. When original data are included, they must be available in a repository; deposit and cite the dataset (检索于 2026-06；以官网为准).
- Ethical-collection confirmation. Authors confirm in the cover letter that data collection followed ethical guidelines (检索于 2026-06；以官网为准).
- Open-practice norms. APS has historically pioneered Open Practice badges (Open Data, Open Materials, Preregistration) at its journals; confirm current badge availability and criteria for PoPS on the author pages, since policy evolves (检索于 2026-06；以官网为准 · 待核实 for the exact current PoPS badge set).
- TOP-style sharing. Treat the Transparency and Openness Promotion (TOP) guidelines as the baseline expectation for data/code/materials sharing; map your deposits to it (检索于 2026-06；以官网为准).
Show full SKILL.md (266 more words)Show less
Building the reproducible meta-science protocol
For a reform/meta-science piece, the protocol is the design — make it auditable:
- Preregister the sampling frame, inclusion/exclusion rules, and the coding scheme (OSF/AsPredicted) before coding, and report the registration link. Mark any deviation as a deviation.
- Deposit the coded dataset, the coding manual, and the analysis scripts (R/Python) in a public repository (OSF, GitHub + Zenodo DOI).
- Report reliability for subjective coding (two coders, inter-rater agreement) so the prevalence claims are not one reader's judgment.
- Make figures reproducible — every prevalence/forest exhibit regenerates from the deposited data and script.
Checklist
- Piece type identified; the right transparency obligation selected (coverage account vs. data+code)
- Any original data deposited in a repository and cited; ethical-collection confirmation in the cover letter
- Meta-science: protocol preregistered (frame + inclusion + coding); registration link reported
- Meta-science / meta-analysis: dataset, coding manual, and analysis code deposited (OSF/Zenodo DOI)
- Inter-rater reliability reported for subjective coding
- Every prevalence/forest figure regenerates from deposited data + script
- Deposits mapped to TOP-level expectations; Open-Practice badge eligibility checked (待核实 current set)
- Transparency statements drafted from live identifiers, not promises
- AI-use and conflict-of-interest disclosures prepared per current policy
Anti-patterns
- A reform/transparency argument that is itself unreproducible (fatal credibility loss at PoPS)
- "Data available upon request" instead of a repository deposit when original data are included
- A meta-science prevalence figure with an undisclosed, unpreregistered sampling frame
- One-coder subjective extraction presented as fact, with no reliability statistic
- Promising open data/code at acceptance instead of depositing and citing it at submission
- Asserting the current badge set, TOP level, or data policy from memory rather than the live SAGE/APS pages
Output format
【Piece type】review/theory / meta-science / meta-analysis / includes-original-data
【Coverage account】search + inclusion/exclusion documented (review/theory)? Y/N · N/A
【Data deposit】original data in repository + cited; ethical-collection confirmed in cover letter? Y/N · N/A
【Preregistration】meta-science protocol preregistered; link reported? Y/N · N/A
【Code/materials】coding manual + analysis scripts deposited (DOI)? Y/N · N/A
【Reliability】inter-rater agreement reported for subjective coding? Y/N · N/A
【Reproducible figures】prevalence/forest exhibits regenerate from deposit? Y/N · N/A
【Policy re-confirm】badges / TOP level / data policy checked on SAGE/APS pages? Y/N · 待核实
【Next step】→ ppsych-editor-strategy → ppsych-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 Perspectives-on-Psychological-Science-Skills/skills/ppsych-transparency-and-reproducibility of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Ppsych 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 |
|---|---|---|---|---|---|---|
| Ppsych Transparency And Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.5k | 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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Categories
Questions about Ppsych Transparency And Reproducibility
What does Ppsych Transparency And Reproducibility do?
A skill your agent uses when meeting open-science and reproducibility obligations for a Perspectives on Psychological Science (PoPS) piece — repository deposit for any original data, a documented…. Ppsych Transparency And Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when meeting open-science and reproducibility obligations for a Perspectives on Psychological Science (PoPS) piece — repository deposit for any original data, a documented and ideally preregistered systematic protocol for meta-science, and exemplary disclosure (PoPS is an open-science leader).
When should I use Ppsych Transparency And Reproducibility?
Ppsych Transparency And Reproducibility fits situations like: A documented and ideally preregistered systematic protocol for meta-science; exemplary disclosure (PoPS is an open-science leader).
How do I install Ppsych Transparency And Reproducibility in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ppsych-transparency-and-reproducibility -a claude-code`. Or copy the skill folder (Perspectives-on-Psychological-Science-Skills/skills/ppsych-transparency-and-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/ppsych-transparency-and-reproducibility in your project. Claude Code loads it when a task matches its description.
How do I install Ppsych Transparency And Reproducibility in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ppsych-transparency-and-reproducibility -a codex`. Or copy the skill folder (Perspectives-on-Psychological-Science-Skills/skills/ppsych-transparency-and-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/ppsych-transparency-and-reproducibility in your project. Codex loads it when a task matches its description.
Can I use Ppsych 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 ppsych-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/ppsych-transparency-and-reproducibility, .gemini/skills/ppsych-transparency-and-reproducibility, .github/skills/ppsych-transparency-and-reproducibility and .opencode/skills/ppsych-transparency-and-reproducibility in your project.
What does Ppsych Transparency And Reproducibility need to run?
SKILL.md names no scripts, command-line tools or credentials: Ppsych Transparency And Reproducibility is instructions for the agent only.
Does Ppsych 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 Ppsych 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 Ppsych Transparency And Reproducibility use?
Ppsych 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 Ppsych Transparency And Reproducibility use?
About 1.5k tokens (SKILL.md is roughly 6.2k 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 Ppsych Transparency And Reproducibility?
Skills that share tags, products or a category with Ppsych Transparency And 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 Ppsych 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.