Agent skill

Jleo Replication Package

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

A skill your agent uses when assembling the data and code replication package for a Journal of Law, Economics, and Organization (JLEO) manuscript — building reproducible paths from…

MITAuto-check passedResearch & Science

Install Jleo Replication Package

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jleo-replication-package -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jleo-replication-package --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-Law-Economics-and-Organization-Skills/skills/jleo-replication-package .claude/skills/jleo-replication-package && 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
jleo-replication-package
GitHub stars
1.2k
Token cost
~1.5k tokens
SKILL.md length
694 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when assembling the data and code replication package for a Journal of Law, Economics, and Organization (JLEO) manuscript — building reproducible paths from…

  • Works in 6 steps: One-command build. A master script runs… → Document the institutional data… → State data provenance and access. For… → …
  • Assembling the data and code replication package for a Journal of Law
  • SKILL.md covers When to trigger, Reproducibility for…, Checklist and Anti-patterns, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jleo Replication Package is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when assembling the data and code replication package for a Journal of Law, Economics, and Organization (JLEO) manuscript — building reproducible paths from institutional/organizational/political data sources (court records, contracts, legislative data, firm-boundary data) to every exhibit. Builds the package; it does not run new analysis.

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 Econometrics and empirical 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

  • Assembling the data and code replication package for a Journal of Law
  • Organization (JLEO) manuscript — building reproducible paths from institutional/organizational/political data sources (court records
  • Legislative data
  • Firm-boundary data) to every exhibit

Example prompts

  • “/jleo-replication-package”

Workflow steps

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

  1. One-command build. A master script runs raw → cleaned → analysis → every exhibit in order, with a fixed random seed where any randomness…
  2. Document the institutional data construction. For hand-coded institutional variables (an asset-specificity index, a judicial-independence…
  3. State data provenance and access. For each source: origin (court system, regulator, commercial provider), access date, license/terms, and…
  4. Map exhibits to scripts. A table lists, for each table/figure in the paper, the script and line that produces it.
  5. Pin the environment. Software versions, packages, and (for proprietary software) the exact commands; note OS if results are sensitive.
  6. Data Availability Statement. A clear DAS naming which data are public, which are restricted, and how to request access, consistent with…

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

Jleo Replication Package loads about 1.5k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 694 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~93
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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). 694 words, ~1,462 tokens.

Download SKILL.mdSave it as .claude/skills/jleo-replication-package/SKILL.md (or your agent's skills folder).
name
jleo-replication-package
description
Use when assembling the data and code replication package for a Journal of Law, Economics, and Organization (JLEO) manuscript — building reproducible paths from institutional/organizational/political data sources (court records, contracts, legislative data, firm-boundary data) to every exhibit. Builds the package; it does not run new analysis.

Replication Package (jleo-replication-package)

When to trigger

  • A coauthor or referee needs to reproduce every table and figure from raw institutional data
  • The paper relies on hand-collected institutional data (court records, contracts, legislative votes, agency rulings) whose construction is undocumented
  • Some institutional data are proprietary or confidential (firm contracts, sealed court records) and access terms must be stated
  • The code runs on one machine but the path from raw source to final exhibit is not reproducible
  • You need a Data Availability Statement and a README before submitting or at the revision stage

Reproducibility for institutional data

JLEO is an OUP economics journal; OUP and COPE expect transparency, and the field increasingly expects a working replication package even where OUP does not run a dedicated data-editor check (verify the current JLEO data-and-code policy on the official OUP page — 待核实). The distinctive challenge at JLEO is that the data are often institutional artifacts — court dockets, procurement contracts, committee assignments, constitutional provisions — that require careful, documented construction from primary sources. Build the package so a stranger reproduces every number.

Build the package
  1. One-command build. A master script runs raw → cleaned → analysis → every exhibit in order, with a fixed random seed where any randomness enters.
  2. Document the institutional data construction. For hand-coded institutional variables (an asset-specificity index, a judicial-independence score, a governance-form classification), provide the coding protocol, the source documents, and inter-coder reliability if human coding was involved. This is where JLEO replication most often fails.
  3. State data provenance and access. For each source: origin (court system, regulator, commercial provider), access date, license/terms, and whether others can obtain it. Confidential firm or court data: state the access procedure and provide the code plus a synthetic or restricted-use path.
  4. Map exhibits to scripts. A table lists, for each table/figure in the paper, the script and line that produces it.
  5. Pin the environment. Software versions, packages, and (for proprietary software) the exact commands; note OS if results are sensitive.
  6. Data Availability Statement. A clear DAS naming which data are public, which are restricted, and how to request access, consistent with OUP/COPE expectations.

Checklist

  • A master script reproduces every exhibit end-to-end, raw → final, with seeds fixed
  • Hand-coded institutional variables have a documented coding protocol and source documents
  • Inter-coder reliability reported where institutional variables were human-coded
  • Each data source has provenance, access date, and license/terms stated
  • Confidential institutional data have a stated access procedure and a code-only or synthetic path
  • An exhibit→script map lets a reader find the code behind any table or figure
  • Environment (software/package versions) pinned; a Data Availability Statement drafted
Show full SKILL.md (264 more words)Show less

Anti-patterns

  • A zip of scripts with no master file and no order — the reviewer cannot tell what to run
  • Hand-coded institutional indices with no coding protocol, so the key variable cannot be reconstructed
  • "Data available on request" with no procedure, for institutional data others genuinely cannot get
  • Hard-coded absolute paths and unpinned package versions that break on another machine
  • Treating the package as an afterthought for institutional data that took months to build by hand

Worked vignette (illustrative)

A paper builds a governance-form variable by reading 3,000 procurement contracts and classifying each as arm's-length, hybrid, or integrated. The replication risk is the classification, not the regression. The package therefore includes: the coding manual with decision rules, a sample of coded contracts, a second coder's classifications on a 10% subsample with the agreement rate (say κ = 0.84, illustrative), and the script that turns the coded file into the analysis dataset — so the institutional measure, not just the estimation, is reproducible.

Referee / editor concern mapped to the package fix

  • "How did you classify governance form? I cannot reproduce the key variable." → Ship the coding manual, source-document samples, and inter-coder reliability — not just the final dataset.
  • "Your court/contract data are confidential; how can this be replicated?" → State the exact access procedure and provide a code-only path plus a synthetic dataset that runs the full pipeline.
  • "Which script produces Table 4?" → Include the exhibit→script map and a one-command master build with seeds fixed.
  • "What is the data-and-code policy here?" → Confirm the current JLEO/OUP policy live (待核实) and draft a Data Availability Statement consistent with COPE expectations.

Output format

text
【Master build】one command raw→exhibits, seeds fixed? [Y/N]
【Institutional data construction】coding protocol + sources documented? [Y/N]
【Inter-coder reliability】reported where human-coded? [Y/N/NA]
【Provenance & access】per-source origin/date/license stated? [Y/N]
【Confidential data path】access procedure + code/synthetic path? [Y/N/NA]
【Exhibit→script map】present? [Y/N]
【DAS + environment】drafted and pinned? [Y/N]
【Next skill】jleo-referee-strategy

© 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-Law-Economics-and-Organization-Skills/skills/jleo-replication-package of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Jleo Replication Package 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.

Jleo Replication Package compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jleo Replication Package this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.5kAutomated safety check: PassMIT
Statadylantmoore/stata-skill2911 repos~4.2kAutomated safety check: PassCustom licence
Stata C Pluginsdylantmoore/stata-skill2911 repos~5.8kAutomated safety check: PassCustom licence
Example Datasetspymc-labs/CausalPy1.2k—~587Automated safety check: PassApache-2.0
Stata AuditSepineTam/mcp-for-stata264—~1.2kAutomated safety check: PassAGPL-3.0
Stata Skill Contributordylantmoore/stata-skill2911 repos~2.4kAutomated safety check: PassCustom licence

Similar skills

  • Stata

    dylantmoore/stata-skill

    Comprehensive Stata reference for writing correct .do files, data management, econometrics, causal inference, graphics, Mata programming, and 20 community packages (reghdfe, estout, did, rdrobust…

    291 GitHub starsUsed in 1 repo~4.2k tokens
    Research & ScienceAuto-check passed
  • Stata C Plugins

    dylantmoore/stata-skill

    Develop high-performance C/C++ plugins for Stata using the stplugin.h SDK.

    291 GitHub starsUsed in 1 repo~5.8k tokens
    Research & ScienceAuto-check passed
  • Example Datasets

    pymc-labs/CausalPy

    Load built-in CausalPy example datasets for demos, tutorials, tests, and quick causal-analysis prototypes.

    1.2k GitHub stars~587 tokensUpdated today
    Research & ScienceAuto-check passed
  • Stata Audit

    SepineTam/mcp-for-stata

    Inspect, validate, summarize, and render local Stata-MCP audit evidence under .statamcp.

    264 GitHub stars~1.2k tokensUpdated 3 days ago
    Research & ScienceAuto-check passed
  • Stata Skill Contributor

    dylantmoore/stata-skill

    Guide for contributing to the stata-skill project. An agent skill from dylantmoore/stata-skill.

    291 GitHub starsUsed in 1 repo~2.4k tokens
    Research & ScienceAuto-check passed
  • Diagnostic Dofile

    SepineTam/mcp-for-stata

    A skill your agent uses when the user needs to inspect, audit, or diagnose the safety of a Stata do-file.

    264 GitHub stars~1.2k tokensUpdated 3 days ago
    Research & ScienceAuto-check passed

More from brycewang-stanford/Awesome-Journal-Skills

All 2,387 skills in this repo
  • Aaag 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…

    1.2k GitHub stars~1.3k tokensUpdated 12 days ago
    Auto-check passed
  • 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…

    1.2k GitHub stars~1.3k tokensUpdated 12 days ago
    Auto-check passed
  • 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…

    1.2k GitHub stars~1.4k tokensUpdated 12 days ago
    Auto-check passed
  • 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…

    1.2k GitHub stars~1.4k tokensUpdated 12 days ago
    Auto-check passed
  • 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…

    1.2k GitHub stars~1.3k tokensUpdated 12 days ago
    Auto-check passed
  • 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…

    1.2k GitHub stars~1.6k tokensUpdated 12 days ago
    Auto-check passed

Questions about Jleo Replication Package

What does Jleo Replication Package do?

A skill your agent uses when assembling the data and code replication package for a Journal of Law, Economics, and Organization (JLEO) manuscript — building reproducible paths from…. Jleo Replication Package is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when assembling the data and code replication package for a Journal of Law, Economics, and Organization (JLEO) manuscript — building reproducible paths from institutional/organizational/political data sources (court records, contracts, legislative data, firm-boundary data) to every exhibit.

When should I use Jleo Replication Package?

Jleo Replication Package fits situations like: assembling the data and code replication package for a Journal of Law; organization (JLEO) manuscript — building reproducible paths from institutional/organizational/political data sources (court records; legislative data; firm-boundary data) to every exhibit.

How do I install Jleo Replication Package in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jleo-replication-package -a claude-code`. Or copy the skill folder (Journal-of-Law-Economics-and-Organization-Skills/skills/jleo-replication-package in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jleo-replication-package in your project. Claude Code loads it when a task matches its description.

How do I install Jleo Replication Package in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jleo-replication-package -a codex`. Or copy the skill folder (Journal-of-Law-Economics-and-Organization-Skills/skills/jleo-replication-package in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jleo-replication-package in your project. Codex loads it when a task matches its description.

Can I use Jleo Replication Package 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 jleo-replication-package -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jleo-replication-package, .gemini/skills/jleo-replication-package, .github/skills/jleo-replication-package and .opencode/skills/jleo-replication-package in your project.

What does Jleo Replication Package need to run?

SKILL.md names no scripts, command-line tools or credentials: Jleo Replication Package is instructions for the agent only.

Does Jleo Replication Package 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 Jleo Replication Package 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 Jleo Replication Package use?

Jleo Replication Package 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 Jleo Replication Package use?

About 1.5k tokens (SKILL.md is roughly 5.8k 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 Jleo Replication Package?

Skills that share tags, products or a category with Jleo Replication Package: Stata (dylantmoore/stata-skill, 291 stars), Stata C Plugins (dylantmoore/stata-skill, 291 stars), Example Datasets (pymc-labs/CausalPy, 1.2k stars) and Stata Audit (SepineTam/mcp-for-stata, 264 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jleo Replication Package?

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.