Agent skill

Pubar Transparency And Data

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

A skill your agent uses when preparing the transparency / reproducibility materials for a Public Administration Review (PAR) manuscript.

MITAuto-check passedResearch & Science

Install Pubar Transparency And Data

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pubar-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 pubar-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/Public-Administration-Review-Skills/skills/pubar-transparency-and-data .claude/skills/pubar-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
pubar-transparency-and-data
GitHub stars
1.2k
Token cost
~1.9k tokens
SKILL.md length
771 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 transparency / reproducibility materials for a Public Administration Review (PAR) manuscript.

  • Works in 4 steps: Data & materials citation. Cite all… → Data sharing. PAR encourages depositing… → Reporting documentation. PAR recommends… → …
  • Preparing the transparency / reproducibility materials for a Public Administration Review (PAR) manuscript
  • SKILL.md covers When to trigger, What PAR's TOP standards cover…, Build-as-you-go checklist and Transparency package by…, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Pubar Transparency And Data is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the transparency / reproducibility materials for a Public Administration Review (PAR) manuscript. PAR is a signatory of the Center for Open Science TOP Guidelines and has adopted transparency standards (data citation, data sharing via Dataverse/QDR, reporting documentation, pre-registration). Covers quantitative and qualitative transparency and the restricted-data path. Prepares the package; it does not waive requirements.

Its SKILL.md is about 1.9k 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 Citation management. 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 transparency / reproducibility materials for a Public Administration Review (PAR) manuscript
  • Tasks that involve Reproducible research
  • Tasks that involve Citation management

Example prompts

  • “/pubar-transparency-and-data”

Workflow steps

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

  1. Data & materials citation. Cite all research materials and data sources used, with persistent
  2. Data sharing. PAR encourages depositing data in an appropriate repository — Dataverse for
  3. Reporting documentation. PAR recommends documenting research design, data preparation, and
  4. Pre-registration. Pre-registration of studies and/or analysis plans is supported, and

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

Pubar Transparency And Data loads about 1.9k tokens when it runs. Until then it costs about 118 tokens; SKILL.md has 771 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~118
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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). 771 words, ~1,870 tokens.

Download SKILL.mdSave it as .claude/skills/pubar-transparency-and-data/SKILL.md (or your agent's skills folder).
name
pubar-transparency-and-data
description
Use when preparing the transparency / reproducibility materials for a Public Administration Review (PAR) manuscript. PAR is a signatory of the Center for Open Science TOP Guidelines and has adopted transparency standards (data citation, data sharing via Dataverse/QDR, reporting documentation, pre-registration). Covers quantitative and qualitative transparency and the restricted-data path. Prepares the package; it does not waive requirements.

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

PAR endorses the Center for Open Science's Transparency and Openness Promotion (TOP) Guidelines and has adopted transparency standards for authors (检索于 2026-06;以官网为准). Build the materials as you go so a transparency request at review or acceptance does not stall the paper.

When to trigger

  • Building the reproducibility / transparency materials and the data-availability statement
  • A reviewer or editor requested data, code, or documentation
  • Data cannot be fully shared (privacy, FOIA limits, agency restrictions, IRB) and you need the path
  • Deciding whether to pursue pre-registration badges

What PAR's TOP standards cover (verify current wording)

  1. Data & materials citation. Cite all research materials and data sources used, with persistent identifiers where available — treat data as a citable research output.
  2. Data sharing. PAR encourages depositing data in an appropriate repository — Dataverse for quantitative data, the Qualitative Data Repository (QDR) for qualitative data — with a data-availability statement in the manuscript.
  3. Reporting documentation. PAR recommends documenting research design, data preparation, and analysis decisions in a supplementary document, following the relevant reporting standard where applicable (e.g., CONSORT for experiments, STROBE for observational, PRISMA for reviews, COREQ for qualitative).
  4. Pre-registration. Pre-registration of studies and/or analysis plans is supported, and badges may be available — register before data collection/analysis (see pubar-research-design).

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 deposited output exactly
  • Data-availability statement drafted (where data live, or why they cannot be shared)
  • Reporting-standard supplement (CONSORT/STROBE/PRISMA/COREQ) where applicable
  • Pre-registration / pre-analysis plan linked (anonymized) where applicable

Transparency package by evidence type

Build the package around the evidence product, not around a generic folder dump.

Evidence typeMinimum packagePAR-specific risk
Administrative microdataData dictionary, construction log, access conditions, replication code, and an approved restricted-data statement if raw data cannot shipA practitioner-facing claim with no auditable data provenance
Survey / experimentInstrument, sampling frame, recruitment/consent language, randomization code, preregistration or exploratory label, and cleaning scriptsTreatments or outcomes cannot be interpreted by public managers
Qualitative interviews / fieldworkInterview protocol, coding scheme, memo trail, anonymized excerpts or controlled-access deposit, and IRB/consent constraintsOver-disclosure that harms participants, or under-documentation that blocks audit
Case comparison / process tracingCase-selection memo, source inventory, evidence tests, chronology, and rival-explanation log"Illustrative" cases presented as field-wide lessons
Public datasets / dashboardsPersistent links, download dates, version snapshots, transformation scripts, and archived outputsLive web data change after review and no longer reproduce the exhibits
Show full SKILL.md (340 more words)Show less

Restricted-data decision tree

  1. Can raw data be public? Deposit the exact analysis data plus code in Dataverse or another persistent repository and cite it in the Data Availability Statement.
  2. Can de-identified analysis data be public? Deposit the de-identified data and document what was removed, masked, top-coded, aggregated, or perturbed.
  3. Can synthetic or toy data run the code? Provide synthetic data plus a validation note that the code path reproduces the tables/figures but not the confidential estimates.
  4. Can only metadata be shared? Provide a data-access route, DUA/IRB constraints, variable list, and a read-only replication log that maps each exhibit to the restricted source.
  5. Is nothing shareable? Treat this as an editor-facing exception request; explain why the claim is still auditable and which independent checks remain possible.

For every restricted path, separate legal/ethical inability from convenience. Convenience is not a transparency rationale.

When data cannot be shared (restricted-data path)

  • Explain why the data are restricted (privacy, IRB, agency/legal restrictions, FOIA limits).
  • Provide instructions on how others can obtain the data (access process, agency contact, DUA).
  • Where feasible, provide synthetic data or de-identified extracts so the code can be run.
  • For qualitative data, QDR supports controlled-access sharing with appropriate protections.

Reproducibility smoke test

Before submission, run a clean-room check:

  • start from a fresh directory or container with only the repository/deposit files;
  • install from the recorded environment file;
  • run the master script end to end;
  • compare every printed table/figure number against the manuscript;
  • record any manual step, proprietary software dependency, or restricted-data substitution.

If the smoke test fails, do not call the package "reproducible"; report the remaining limitation honestly in the Data Availability Statement.

Anti-patterns

  • Treating transparency as a post-acceptance afterthought
  • Depositing code that does not actually reproduce the printed tables/figures
  • A personal URL or dead link instead of a persistent repository (Dataverse/QDR)
  • Claiming data are restricted with no access path or synthetic substitute
  • Undocumented, un-seeded, unpinned code that "works on my machine"

Output format

【Repository】Dataverse (quant) / QDR (qual) — materials staged? [Y/N]
【Evidence type】admin / survey-experiment / qualitative / case-process / public-dataset
【Reproduces tables/figures?】master script verified locally? [Y/N]
【Documentation】README + provenance + seeds + pinned versions + reporting standard? [Y/N]
【Data-availability statement】drafted? [Y/N]
【Restricted data?】public / de-identified / synthetic / metadata-only / exception request
【Smoke test】fresh-run status + remaining manual step
【Pre-registration】badge pursued? [Y/N/NA]
【Next】pubar-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 Public-Administration-Review-Skills/skills/pubar-transparency-and-data of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Questions about Pubar Transparency And Data

What does Pubar Transparency And Data do?

A skill your agent uses when preparing the transparency / reproducibility materials for a Public Administration Review (PAR) manuscript. Pubar Transparency And Data is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the transparency / reproducibility materials for a Public Administration Review (PAR) manuscript.

When should I use Pubar Transparency And Data?

Pubar Transparency And Data fits situations like: preparing the transparency / reproducibility materials for a Public Administration Review (PAR) manuscript; tasks that involve Reproducible research; tasks that involve Citation management.

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

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

How do I install Pubar Transparency And Data in Codex?

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

Can I use Pubar 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 pubar-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/pubar-transparency-and-data, .gemini/skills/pubar-transparency-and-data, .github/skills/pubar-transparency-and-data and .opencode/skills/pubar-transparency-and-data in your project.

What does Pubar Transparency And Data need to run?

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

Does Pubar 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 Pubar 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 Pubar Transparency And Data use?

Pubar 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 Pubar Transparency And Data use?

About 1.9k tokens (SKILL.md is roughly 7.5k 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 Pubar Transparency And Data?

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Who maintains Pubar Transparency And Data?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.