Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
Agent skill
Cogpsych Open Science And Transparency
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when meeting Cognitive Psychology (Elsevier) open-science expectations — sharing data, model code, analysis scripts, and materials so the modeling is reproducible, depositing…
Install Cogpsych Open Science And Transparency
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-open-science-and-transparency -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cogpsych-open-science-and-transparency --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/Cognitive-Psychology-Skills/skills/cogpsych-open-science-and-transparency .claude/skills/cogpsych-open-science-and-transparency && 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 "cogpsych-open-science-and-transparency" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-open-science-and-transparency into .claude/skills/cogpsych-open-science-and-transparency/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cogpsych-open-science-and-transparency", 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/Cognitive-Psychology-Skills/skills/cogpsych-open-science-and-transparencyType 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 cogpsych-open-science-and-transparency -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cogpsych-open-science-and-transparency --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/Cognitive-Psychology-Skills/skills/cogpsych-open-science-and-transparency .agents/skills/cogpsych-open-science-and-transparency && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cogpsych-open-science-and-transparency" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-open-science-and-transparency into .agents/skills/cogpsych-open-science-and-transparency/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cogpsych-open-science-and-transparency", 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 cogpsych-open-science-and-transparency -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cogpsych-open-science-and-transparency --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/Cognitive-Psychology-Skills/skills/cogpsych-open-science-and-transparency .cursor/skills/cogpsych-open-science-and-transparency && 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 "cogpsych-open-science-and-transparency" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-open-science-and-transparency into .cursor/skills/cogpsych-open-science-and-transparency/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cogpsych-open-science-and-transparency", 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 Cognitive-Psychology-Skills/skills/cogpsych-open-science-and-transparency--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 cogpsych-open-science-and-transparency -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cogpsych-open-science-and-transparency --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/Cognitive-Psychology-Skills/skills/cogpsych-open-science-and-transparency .gemini/skills/cogpsych-open-science-and-transparency && 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 "cogpsych-open-science-and-transparency" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-open-science-and-transparency into .gemini/skills/cogpsych-open-science-and-transparency/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cogpsych-open-science-and-transparency", 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 cogpsych-open-science-and-transparencyInstalls 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 cogpsych-open-science-and-transparency -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/Cognitive-Psychology-Skills/skills/cogpsych-open-science-and-transparency .github/skills/cogpsych-open-science-and-transparency && 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 "cogpsych-open-science-and-transparency" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-open-science-and-transparency into .github/skills/cogpsych-open-science-and-transparency/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cogpsych-open-science-and-transparency", 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 cogpsych-open-science-and-transparency -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 cogpsych-open-science-and-transparency --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/Cognitive-Psychology-Skills/skills/cogpsych-open-science-and-transparency .opencode/skills/cogpsych-open-science-and-transparency && 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 "cogpsych-open-science-and-transparency" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Cognitive-Psychology-Skills/skills/cogpsych-open-science-and-transparency into .opencode/skills/cogpsych-open-science-and-transparency/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cogpsych-open-science-and-transparency", 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
cogpsych-open-science-and-transparency- GitHub stars
- 1.2k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 600 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when meeting Cognitive Psychology (Elsevier) open-science expectations — sharing data, model code, analysis scripts, and materials so the modeling is reproducible, depositing…
- Works in 5 steps: Open data. Deposit trial-level data with… → Model and analysis code (the… → Materials. Deposit stimuli, item pools,… → …
- Meeting Cognitive Psychology (Elsevier) open-science expectations — sharing data
- SKILL.md covers When to trigger, What to prepare (verify…, Build-it-right checklist and Restrictions (handle honestly), plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Cogpsych Open Science And Transparency is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when meeting Cognitive Psychology (Elsevier) open-science expectations — sharing data, model code, analysis scripts, and materials so the modeling is reproducible, depositing in repositories with persistent identifiers, completing the Elsevier research-data and competing-interest declarations, and preregistering where applicable. Prepares compliance; it does not waive requirements. Verify current wording on the official guide for authors.
Its SKILL.md is about 1.7k 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
- Meeting Cognitive Psychology (Elsevier) open-science expectations — sharing data
- Analysis scripts
- Materials so the modeling is reproducible
- Depositing in repositories with persistent identifiers
Example prompts
- “/cogpsych-open-science-and-transparency”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Open data. Deposit trial-level data with a codebook/data dictionary in a repository that
- Model and analysis code (the venue-specific must). Deposit the model-fitting code and
- Materials. Deposit stimuli, item pools, counterbalancing schemes, and task code with a DOI.
- Preregistration (where applicable). For confirmatory tests and pre-committed model comparisons,
- Elsevier declarations. Complete the declaration of competing interest, funding/role
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
Cogpsych Open Science And Transparency loads about 1.7k tokens when it runs. Until then it costs about 121 tokens; SKILL.md has 600 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). 600 words, ~1,699 tokens.
Download SKILL.mdSave it as
.claude/skills/cogpsych-open-science-and-transparency/SKILL.md (or your agent's skills folder).- name
- cogpsych-open-science-and-transparency
- description
- Use when meeting Cognitive Psychology (Elsevier) open-science expectations — sharing data, model code, analysis scripts, and materials so the modeling is reproducible, depositing in repositories with persistent identifiers, completing the Elsevier research-data and competing-interest declarations, and preregistering where applicable. Prepares compliance; it does not waive requirements. Verify current wording on the official guide for authors.
Open Science & Transparency (cogpsych-open-science-and-transparency)
Because the contribution is a model fit to data, reproducibility here means more than open data: it means the model code and analysis scripts regenerate every reported fit. Authors are strongly encouraged to share data, model code, and materials. This skill prepares the deposits and the Elsevier declarations early, so the modeling is reproducible at submission rather than promised at acceptance. Confirm the current policy wording on the journal's guide for authors (检索于 2026-06；以官网为准).
When to trigger
- Building the data, model-code, and materials deposits
- Completing Elsevier's research-data statement and competing-interest declaration
- Deciding whether (and how) to claim a restriction on sharing sensitive/third-party data
- Linking a preregistration and reporting its status
- A reviewer or editor flagged transparency or reproducibility
What to prepare (verify current wording on the official page)
- Open data. Deposit trial-level data with a codebook/data dictionary in a repository that mints a persistent identifier (DOI) (OSF, Mendeley Data, Dataverse, Zenodo). State availability in the Elsevier research-data statement.
- Model and analysis code (the venue-specific must). Deposit the model-fitting code and analysis scripts with seeds and pinned versions; the reported fits, figures, and tables must regenerate in a fresh session. This is what makes a model-driven paper reproducible.
- Materials. Deposit stimuli, item pools, counterbalancing schemes, and task code with a DOI.
- Preregistration (where applicable). For confirmatory tests and pre-committed model comparisons, link a preregistration; keep confirmatory vs. exploratory consistent with it.
- Elsevier declarations. Complete the declaration of competing interest, funding/role statement, author contributions, and any required ethics/consent statements per Elsevier policy.
Build-it-right checklist
- Data deposited with a DOI + a codebook/data dictionary
- Model-fitting code deposited; all fits regenerate in a fresh session (run log included)
- Analysis scripts deposited; seeds set, package versions pinned
- Materials (stimuli, item pools, task/counterbalancing) deposited with a DOI
- Preregistration linked (where applicable); confirmatory vs. exploratory consistent
- Research-data statement + competing-interest declaration + funding/contributions completed
- Any restriction on sharing clearly justified (what is withheld, why, and the access path)
Restrictions (handle honestly)
- If data/materials cannot be fully shared (sensitive populations, licensed/proprietary stimuli, IRB limits), state exactly what is withheld, why, and how others can access or approximate it (application path, synthetic data, code release). Code transparency is usually still expected even when data are restricted.
Show full SKILL.md (227 more words)Show less
Reproducibility statement — worked draft (illustrative)
A model statement for the recognition-memory program; confirm required headings on the official page.
Open Practices
Data: Trial-level confidence-ROC data for Experiments 1-3 are at OSF
(DOI 10.XXXX/osf.io/abcde), with a codebook.
Model code: The UVSD/DPSD fitting code (R/Stan) reproduces all reported fits,
model-comparison values, and figures in a fresh session; a seeded
run log and pinned environment are included (DOI 10.XXXX/.../fghij).
Materials: Stimulus pools, list construction, and task code are deposited
(DOI 10.XXXX/osf.io/klmno).
Preregistration: The model space and comparison criteria were preregistered
before data collection (osf.io/pqrst); one post hoc bias analysis
is reported as exploratory.
Declarations: Competing interests: none. Funding and author contributions as
stated. (If applicable: data-sharing restriction + access path.)Transparency-readiness decision table
| Situation | What to deposit / state |
|---|---|
| Fully shareable data + model code + materials | DOIs for each + a fresh-session run log |
| Sensitive human data | synthetic/aggregated data + IRB-gated access path; still share model code |
| Licensed/proprietary stimuli | share what the license allows; cite source; share task/model code |
| Secondary/third-party dataset | link source, share derivation + fitting scripts, document version |
| "Available on request" | replace with a persistent DOI before submission |
Reviewer / editor pushback and the venue fix
- "I can't reproduce your model fits" → ship seeded model code + a pinned environment + a fresh-session run log; the fits must regenerate, not just the data exist.
- "No DOI, just a personal link" → swap transient links for persistent identifiers (OSF, Mendeley Data, Zenodo).
- "Statement says open but the repo is empty" → deposit first, write the statement from live DOIs.
- "Competing-interest/data statement missing" → complete the Elsevier declarations before upload.
Anti-patterns
- Sharing data but not the model-fitting code (the fits cannot be reproduced)
- "Available on request" instead of a persistent identifier
- Code that does not regenerate the reported fits in a fresh session
- Claiming a sharing restriction without a justification or an access path
- Omitting the Elsevier competing-interest / research-data declarations
Output format
【Open data】deposited + DOI + data dictionary? [Y/N]
【Model code】deposited + fits regenerate in a fresh session? [Y/N]
【Analysis scripts】seeded + versions pinned? [Y/N]
【Materials】deposited + DOI? [Y/N]
【Preregistration】linked + consistent (where applicable)? [Y/N/NA]
【Elsevier declarations】competing interest + research-data + funding? [Y/N]
【Next】cogpsych-review-processSupplementary resources
../../resources/external_tools.md— OSF, Mendeley Data, Zenodo, Stan/JAGS,renv, preregistration templates../../resources/official-source-map.md— Elsevier research-data and code-sharing policy
© 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 Cognitive-Psychology-Skills/skills/cogpsych-open-science-and-transparency of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Cogpsych Open Science And Transparency 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 |
|---|---|---|---|---|---|---|
| Cogpsych Open Science And Transparency this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | 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 |
Similar skills
CHARLS Paper Reproduction Guide
xjtulyc/MedgeClaw
Guides an agent through reproducing papers built on the CHARLS health and retirement survey, from variable mapping to cognition, depression and isolation scores.
Compute Environment Setup
aipoch/open-science
Prepares setup instructions and a named activation file for a user-managed software environment on an Open-Science SSH or Slurm compute host.
Figure Style
aipoch/open-science
Publication-grade correctness and legibility rules for final-deliverable scientific figures, not exploratory plots.
Add Bactopia Tool
bactopia/bactopia
Scaffold a complete Bactopia Tool across all three tiers -- module, subworkflow, and workflow entry point under workflows/bactopia-tools/.
Modeling Code and Result Contracts
yushui2022/MathModel-Skill
Generates result-evidence contracts, tables and runnable q1 to q3 modeling code scaffolds for a math modeling paper from a model route, a data plan and cleaned data.
More from brycewang-stanford/Awesome-Journal-Skills
All 2,387 skills in this repoAaag Data Analysis
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…
Aaag Literature Positioning
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…
Aaag Rebuttal
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…
Aaag Research Design
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…
Aaag Review Process
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…
Aaag Submission
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…
Related
Categories
Questions about Cogpsych Open Science And Transparency
What does Cogpsych Open Science And Transparency do?
A skill your agent uses when meeting Cognitive Psychology (Elsevier) open-science expectations — sharing data, model code, analysis scripts, and materials so the modeling is reproducible, depositing…. Cogpsych Open Science And Transparency is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when meeting Cognitive Psychology (Elsevier) open-science expectations — sharing data, model code, analysis scripts, and materials so the modeling is reproducible, depositing in repositories with persistent identifiers, completing the Elsevier research-data and competing-interest declarations, and preregistering where applicable.
When should I use Cogpsych Open Science And Transparency?
Cogpsych Open Science And Transparency fits situations like: meeting Cognitive Psychology (Elsevier) open-science expectations — sharing data; analysis scripts; materials so the modeling is reproducible; depositing in repositories with persistent identifiers.
How do I install Cogpsych Open Science And Transparency in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-open-science-and-transparency -a claude-code`. Or copy the skill folder (Cognitive-Psychology-Skills/skills/cogpsych-open-science-and-transparency in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/cogpsych-open-science-and-transparency in your project. Claude Code loads it when a task matches its description.
How do I install Cogpsych Open Science And Transparency in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-open-science-and-transparency -a codex`. Or copy the skill folder (Cognitive-Psychology-Skills/skills/cogpsych-open-science-and-transparency in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/cogpsych-open-science-and-transparency in your project. Codex loads it when a task matches its description.
Can I use Cogpsych Open Science And Transparency 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 cogpsych-open-science-and-transparency -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cogpsych-open-science-and-transparency, .gemini/skills/cogpsych-open-science-and-transparency, .github/skills/cogpsych-open-science-and-transparency and .opencode/skills/cogpsych-open-science-and-transparency in your project.
What does Cogpsych Open Science And Transparency need to run?
SKILL.md names no scripts, command-line tools or credentials: Cogpsych Open Science And Transparency is instructions for the agent only.
Does Cogpsych Open Science And Transparency 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 Cogpsych Open Science And Transparency 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 Cogpsych Open Science And Transparency use?
Cogpsych Open Science And Transparency 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 Cogpsych Open Science And Transparency use?
About 1.7k tokens (SKILL.md is roughly 6.8k 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 Cogpsych Open Science And Transparency?
Skills that share tags, products or a category with Cogpsych Open Science And Transparency: 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 Cogpsych Open Science And Transparency?
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.