Agent skill

Jpart Transparency And Data

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

A skill your agent uses when preparing the data and replication materials for a Journal of Public Administration Research and Theory (JPART) manuscript.

MITAuto-check passedDatabases

Install Jpart Transparency And Data

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-transparency-and-data -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jpart-transparency-and-data --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-Public-Administration-Research-and-Theory-Skills/skills/jpart-transparency-and-data .claude/skills/jpart-transparency-and-data && 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
jpart-transparency-and-data
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
454 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when preparing the data and replication materials for a Journal of Public Administration Research and Theory (JPART) manuscript.

  • Works in 4 steps: Public release of data and code. As a… → Data Availability Statement. A mandatory… → Reproducible materials. Data, code, and… → …
  • Preparing the data and replication materials for a Journal of Public Administration Research and Theory (JPART) manuscript
  • SKILL.md covers When to trigger, What JPART requires (verify…, When data cannot be shared… and Build-as-you-go checklist, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jpart Transparency And Data is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the data and replication materials for a Journal of Public Administration Research and Theory (JPART) manuscript. JPART requires authors, where ethically possible, to publicly release all data and software code as a condition of publication, with a mandatory Data Availability Statement. Prepares the package; it does not waive requirements.

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 Databases. 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

  • Preparing the data and replication materials for a Journal of Public Administration Research and Theory (JPART) manuscript

Example prompts

  • “/jpart-transparency-and-data”

Workflow steps

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

  1. Public release of data and code. As a condition of publication, release the data and the software
  2. Data Availability Statement. A mandatory statement in the manuscript describing what is available,
  3. Reproducible materials. Data, code, and documentation sufficient to regenerate every reported
  4. Preregistration where applicable. For experiments, link the (blinded) pre-analysis plan and mark

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

Jpart Transparency And Data loads about 1.2k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 454 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~97
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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). 454 words, ~1,154 tokens.

Download SKILL.mdSave it as .claude/skills/jpart-transparency-and-data/SKILL.md (or your agent's skills folder).
name
jpart-transparency-and-data
description
Use when preparing the data and replication materials for a Journal of Public Administration Research and Theory (JPART) manuscript. JPART requires authors, where ethically possible, to publicly release all data and software code as a condition of publication, with a mandatory Data Availability Statement. Prepares the package; it does not waive requirements.

Transparency & Data Policy (jpart-transparency-and-data)

JPART does not merely encourage sharing — it requires authors, where ethically possible, to publicly release all data and software code underlying the published paper as a condition of publication, and every paper must carry a Data Availability Statement. Build the package as you go so acceptance does not stall on materials.

When to trigger

  • Building the reproducibility/replication package and the Data Availability Statement
  • A manuscript is heading toward acceptance and you need materials in shareable form
  • Data cannot be fully shared (privacy, ethics, legal/provider restrictions) and you need the exemption path
  • Preparing or linking a preregistration / pre-analysis plan (JPART accepts blinded pre-reg reports)

What JPART requires (verify current wording on the policy page)

  1. Public release of data and code. As a condition of publication, release the data and the software code that produced the results — in a trusted, citable public repository with a persistent identifier (e.g., a Dataverse or OSF deposit), not a personal website or transient cloud link.
  2. Data Availability Statement. A mandatory statement in the manuscript describing what is available, where, and under what access terms.
  3. Reproducible materials. Data, code, and documentation sufficient to regenerate every reported result: a master script + README + pinned versions + seeds.
  4. Preregistration where applicable. For experiments, link the (blinded) pre-analysis plan and mark confirmatory vs. exploratory analyses; the journal accepts blinded pre-reg reports for review.

When data cannot be shared (exemption path)

  • Explain why in the Data Availability Statement (ethical/privacy concerns or provider restrictions).
  • Provide README instructions on exactly how others can obtain the data (access process, contact).
  • Where possible, provide synthetic data resembling the restricted data so the code can be run.
  • Exemptions typically require explicit editor approval — do not assume a quiet opt-out.
Show full SKILL.md (165 more words)Show less

Build-as-you-go checklist

  • One master script regenerates every table and figure from raw/constructed data
  • README documents data provenance, construction steps, and how to reproduce each exhibit
  • Seeds set and reported for every stochastic step
  • Software/package versions pinned (renv.lock / requirements.txt / recorded installs)
  • Exhibit numbers in the manuscript match the package output exactly
  • Data Availability Statement drafted (what / where / access terms)
  • Public deposit prepared in a citable repository with a persistent identifier
  • Restricted data: exemption note + access instructions + synthetic data + editor approval where needed
  • Preregistration / pre-analysis plan linked (blinded) where applicable

Anti-patterns

  • Treating the deposit as a post-publication afterthought (release is a condition of publication)
  • Depositing code that does not actually reproduce the printed tables/figures
  • A personal URL instead of a trusted citable repository
  • Claiming data are restricted without an access path, synthetic substitute, or editor approval
  • Undocumented, un-seeded, unpinned code that "works on my machine"

Output format

【Data + code release】public, citable repository staged? [Y/N]
【Reproduces tables/figures?】master script verified locally? [Y/N]
【Data Availability Statement】drafted? [Y/N]
【Documentation】README + provenance + seeds + pinned versions? [Y/N]
【Restricted data?】exemption note + access path + synthetic data + editor approval?
【Preregistration】linked (blinded) where applicable? [Y/N/NA]
【Next】jpart-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-Public-Administration-Research-and-Theory-Skills/skills/jpart-transparency-and-data of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Categories

Questions about Jpart Transparency And Data

What does Jpart Transparency And Data do?

A skill your agent uses when preparing the data and replication materials for a Journal of Public Administration Research and Theory (JPART) manuscript. Jpart Transparency And Data is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the data and replication materials for a Journal of Public Administration Research and Theory (JPART) manuscript.

When should I use Jpart Transparency And Data?

Jpart Transparency And Data fits situations like: preparing the data and replication materials for a Journal of Public Administration Research and Theory (JPART) manuscript.

How do I install Jpart Transparency And Data in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-transparency-and-data -a claude-code`. Or copy the skill folder (Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-transparency-and-data in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jpart-transparency-and-data in your project. Claude Code loads it when a task matches its description.

How do I install Jpart Transparency And Data in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-transparency-and-data -a codex`. Or copy the skill folder (Journal-of-Public-Administration-Research-and-Theory-Skills/skills/jpart-transparency-and-data in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jpart-transparency-and-data in your project. Codex loads it when a task matches its description.

Can I use Jpart Transparency And Data 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 jpart-transparency-and-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jpart-transparency-and-data, .gemini/skills/jpart-transparency-and-data, .github/skills/jpart-transparency-and-data and .opencode/skills/jpart-transparency-and-data in your project.

What does Jpart Transparency And Data need to run?

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

Does Jpart Transparency And Data 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 Jpart Transparency And Data 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 Jpart Transparency And Data use?

Jpart Transparency And Data 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 Jpart Transparency And Data use?

About 1.2k tokens (SKILL.md is roughly 4.6k 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 Jpart Transparency And Data?

Skills that share tags, products or a category with Jpart Transparency And Data: Keeper Stress Analysis (ClickHouse/ClickHouse, 50k stars), Perf Comparison (ClickHouse/ClickHouse, 50k stars), Patch Release Check (ClickHouse/ClickHouse, 50k stars) and Evolving The Data Model (TriliumNext/Trilium, 38k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jpart Transparency And Data?

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.