Agent skill

Joap Open Science And Transparency

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

A skill your agent uses when meeting the Journal of Applied Psychology (JAP) open-science requirements.

MITAuto-check passedResearch & Science

Install Joap Open Science And Transparency

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill joap-open-science-and-transparency -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills joap-open-science-and-transparency --agent claude-code

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

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Journal-of-Applied-Psychology-Skills/skills/joap-open-science-and-transparency .claude/skills/joap-open-science-and-transparency && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
joap-open-science-and-transparency
GitHub stars
1.2k
Token cost
~1.7k tokens
SKILL.md length
603 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when meeting the Journal of Applied Psychology (JAP) open-science requirements.

  • Works in 4 steps: Data, materials, and code availability.… → Data-transparency / data-availability… → Persistent identifiers (DOIs). Provide… → …
  • Meeting the Journal of Applied Psychology (JAP) open-science requirements
  • SKILL.md covers When to trigger, What is expected (verify…, Build-it-right checklist and Exemptions (do them honestly), plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Joap Open Science And Transparency is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when meeting the Journal of Applied Psychology (JAP) open-science requirements. JAP holds empirical work (including meta-analyses) to the TOP framework — data, materials, and code availability with persistent identifiers, a data-transparency / data-availability statement, and preregistration weighed in evaluation. Prepares compliance; it does not waive requirements.

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 the Journal of Applied Psychology (JAP) open-science requirements
  • Tasks that involve Reproducible research

Example prompts

  • “/joap-open-science-and-transparency”

Workflow steps

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

  1. Data, materials, and code availability. Make the dataset, study materials (scales, manipulations,
  2. Data-transparency / data-availability statement. A statement describing what data exist, where
  3. Persistent identifiers (DOIs). Provide DOIs for shared data/materials/code (OSF, ICPSR,
  4. Preregistration. Report preregistration honestly and link it (anonymized for masked review); its

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

Joap Open Science And Transparency loads about 1.7k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 603 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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). 603 words, ~1,696 tokens.

Download SKILL.mdSave it as .claude/skills/joap-open-science-and-transparency/SKILL.md (or your agent's skills folder).
name
joap-open-science-and-transparency
description
Use when meeting the Journal of Applied Psychology (JAP) open-science requirements. JAP holds empirical work (including meta-analyses) to the TOP framework — data, materials, and code availability with persistent identifiers, a data-transparency / data-availability statement, and preregistration weighed in evaluation. Prepares compliance; it does not waive requirements.

Open Science & Transparency (joap-open-science-and-transparency)

JAP is a TOP-aligned APA journal. Empirical submissions (including meta-analyses) are held to the Transparency and Openness Promotion (TOP) standards: share data, materials, and analysis code with persistent identifiers, provide a data-availability / transparency statement, and report preregistration where applicable — with transparency weighed in evaluation. Prepare this early, not at acceptance. Verify the current TOP level and exact statement wording on the official APA page (待核实).

When to trigger

  • Building the data/materials/code deposits and the data-availability statement
  • Deciding whether (and how) to claim an exemption from sharing
  • Linking a preregistration and reporting its status
  • A reviewer or editor flagged transparency, data access, or reproducibility

What is expected (verify current wording on the official page)

  1. Data, materials, and code availability. Make the dataset, study materials (scales, manipulations, instructions), and analysis scripts available, or state precisely why not. Sensitive personnel / organizational data often need a documented exemption with an access path.
  2. Data-transparency / data-availability statement. A statement describing what data exist, where they live, how they can be accessed, and whether any portion has appeared in other papers (a prior-use / overlapping-data disclosure is expected when datasets are reused across articles).
  3. Persistent identifiers (DOIs). Provide DOIs for shared data/materials/code (OSF, ICPSR, Dataverse, Zenodo) — not transient personal links.
  4. Preregistration. Report preregistration honestly and link it (anonymized for masked review); its presence and quality are weighed, and Registered Reports may be available (confirm on the official page; 待核实).

Build-it-right checklist

  • Data deposited with a DOI; a codebook/data dictionary included (or a justified exemption)
  • Analysis code deposited; results regenerate in a fresh session
  • Materials (scales, manipulations, instructions) deposited with a DOI
  • Data-availability / transparency statement drafted per current TOP requirements
  • Prior-use disclosure: any overlap of this dataset with other papers stated explicitly
  • Preregistration linked (anonymized for review); confirmatory vs. exploratory consistent with it
  • Shared links anonymized for masked submission (no author-identifying repository info)

Exemptions (do them honestly)

  • Personnel and organizational data are often legally or contractually constrained. State exactly what is withheld, why (confidentiality, proprietary, IRB), and how others can access or approximate it (synthetic/aggregated data, application path, full code release). Unjustified opacity counts against the paper.
Show full SKILL.md (247 more words)Show less

Data-availability statement — worked draft (illustrative)

A model statement for the servant-leadership package; confirm the exact required headings against the journal's current TOP/author requirements.

Data availability: Team- and individual-level data for the field study and
  trial-level data for the experiment are available at OSF
  (DOI 10.XXXX/osf.io/abcde), with a codebook.
Materials: All scales, the leadership manipulation, and instructions are
  deposited (DOI 10.XXXX/osf.io/fghij).
Code: Mplus/R scripts reproduce all reported values in a fresh session; a run
  log is included (DOI 10.XXXX/osf.io/klmno).
Preregistration: The experiment was preregistered (osf.io/pqrst) before data
  collection; one field-study serial-mediation analysis is reported as exploratory.
Prior use: The field dataset has not been used in any other manuscript.
  (If applicable, list overlapping papers and the constructs each uses.)
Exemptions: None. (If applicable: what is withheld, why, and the access path.)

Transparency-readiness decision table

SituationEditorial readWhat to deposit / state
Fully shareable data + materials + codeexpected baselineDOIs for data, materials, code + run log
Proprietary organizational dataexemption considered if justifiedsynthetic/aggregated data + access path + full code
Archival / third-party datasetacceptable with provenancelink source, share derivation scripts, document version
Dataset reused across papersrequires disclosurestate overlap, which constructs each paper uses
"Available on request"reads as non-compliantreplace with a persistent DOI before submission

Reviewer / editor pushback and the venue fix

  • "No DOI, just a personal link" → swap every transient link for a persistent identifier before the masked submission goes out.
  • "Statement says open but the repo is empty" → deposit first; draft the statement from the live DOIs.
  • "Is this the same data as your other paper?" → add a prior-use/overlap disclosure; JAP expects it.
  • "Preregistration deviates from the analysis" → add a deviations note; relabel post hoc work exploratory.
  • "OSF page reveals author identity" → use the anonymized view link for masked review.

Anti-patterns

  • Treating data/materials/code sharing as optional or "available on request"
  • Omitting the data-availability/transparency statement or a required prior-use disclosure
  • Personal/transient links instead of DOIs
  • Claiming an exemption without a justification or access path
  • Identifying author info in repository links during masked review

Output format

【Data】deposited + DOI + codebook (or justified exemption)? [Y/N]
【Materials】deposited + DOI? [Y/N]
【Code】deposited + fresh-session reproducible? [Y/N]
【Transparency statement】drafted per current TOP wording (待核实)? [Y/N]
【Prior-use disclosure】dataset overlap stated? [Y/N/NA]
【Preregistration】linked (anonymized) + consistent with reporting? [Y/N/NA]
【Next】joap-review-process

Supplementary resources

© 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 Journal-of-Applied-Psychology-Skills/skills/joap-open-science-and-transparency of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Joap 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.

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Joap Open Science And Transparency this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.7kAutomated safety check: PassMIT
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Compute Environment Setupaipoch/open-science5.5k—~2.6kAutomated safety check: PassApache-2.0
Figure Styleaipoch/open-science5.5k—~5.1kAutomated safety check: PassApache-2.0
Add Bactopia Toolbactopia/bactopia522—~4.1kAutomated safety check: PassMIT

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Questions about Joap Open Science And Transparency

What does Joap Open Science And Transparency do?

A skill your agent uses when meeting the Journal of Applied Psychology (JAP) open-science requirements. Joap Open Science And Transparency is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when meeting the Journal of Applied Psychology (JAP) open-science requirements.

When should I use Joap Open Science And Transparency?

Joap Open Science And Transparency fits situations like: meeting the Journal of Applied Psychology (JAP) open-science requirements; tasks that involve Reproducible research.

How do I install Joap Open Science And Transparency in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill joap-open-science-and-transparency -a claude-code`. Or copy the skill folder (Journal-of-Applied-Psychology-Skills/skills/joap-open-science-and-transparency in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/joap-open-science-and-transparency in your project. Claude Code loads it when a task matches its description.

How do I install Joap Open Science And Transparency in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill joap-open-science-and-transparency -a codex`. Or copy the skill folder (Journal-of-Applied-Psychology-Skills/skills/joap-open-science-and-transparency in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/joap-open-science-and-transparency in your project. Codex loads it when a task matches its description.

Can I use Joap 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 joap-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/joap-open-science-and-transparency, .gemini/skills/joap-open-science-and-transparency, .github/skills/joap-open-science-and-transparency and .opencode/skills/joap-open-science-and-transparency in your project.

What does Joap Open Science And Transparency need to run?

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

Does Joap 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 Joap 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 Joap Open Science And Transparency use?

Joap 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 Joap 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 Joap Open Science And Transparency?

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Who maintains Joap 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.