Agent skill

Jeg Replication And Data Policy

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

A skill your agent uses when preparing Journal of Economic Growth (JEG) data availability statements, replication code, calibration files, digitized historical sources, GIS layers, and Springer…

MITAuto-check passedDatabases

Install Jeg Replication And Data Policy

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-replication-and-data-policy -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jeg-replication-and-data-policy --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-Economic-Growth-Skills/skills/jeg-replication-and-data-policy .claude/skills/jeg-replication-and-data-policy && 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
jeg-replication-and-data-policy
GitHub stars
1.2k
Token cost
~1.3k tokens
SKILL.md length
553 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when preparing Journal of Economic Growth (JEG) data availability statements, replication code, calibration files, digitized historical sources, GIS layers, and Springer…

  • Preparing Journal of Economic Growth (JEG) data availability statements
  • SKILL.md covers When to trigger, Policy stance, Package checklist and Growth package layout, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Replication code

What it does

Jeg Replication And Data Policy is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing Journal of Economic Growth (JEG) data availability statements, replication code, calibration files, digitized historical sources, GIS layers, and Springer Nature research-data documentation for empirical, quantitative, or theoretical growth and comparative-development papers.

Its SKILL.md is about 1.3k 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, covering Database administration, Performance reviews and Geospatial analysis. 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 Journal of Economic Growth (JEG) data availability statements
  • Replication code
  • Calibration files
  • Digitized historical sources

Example prompts

  • “/jeg-replication-and-data-policy”

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

Jeg Replication And Data Policy loads about 1.3k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 553 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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). 553 words, ~1,259 tokens.

Download SKILL.mdSave it as .claude/skills/jeg-replication-and-data-policy/SKILL.md (or your agent's skills folder).
name
jeg-replication-and-data-policy
description
Use when preparing Journal of Economic Growth (JEG) data availability statements, replication code, calibration files, digitized historical sources, GIS layers, and Springer Nature research-data documentation for empirical, quantitative, or theoretical growth and comparative-development papers.

Replication & Data Policy (jeg-replication-and-data-policy)

When to trigger

  • The paper uses empirical growth data, historical data, simulations, or calibration code
  • You need a Data Availability Statement for Springer Nature
  • Data are public, proprietary, restricted, or author-constructed

Policy stance

JEG follows Springer Nature research-data policy: original research articles need a Data Availability Statement. A journal-specific mandatory data editor or code archive was not confirmed in the source map, but reproducible materials are still expected for credible growth work.

Package checklist

  • Data README with sources, access dates, licenses, and restrictions.
  • Code pipeline that regenerates tables and figures.
  • Calibration file listing parameter values and sources.
  • Public repository or DOI for shareable data/code when allowed.
  • Restricted-data instructions and contact/access procedure when data cannot be redistributed.

Growth package layout

Use a structure that separates empirical and model artifacts:

text
replication/
  README.md
  data_sources.md
  code/
  calibration/
  output_tables/
  output_figures/
  manuscript_map.md

manuscript_map.md should list each table/figure, the script that creates it, the input data or calibration file, and the expected output path. For theory-only papers, include the scripts that create numerical examples, calibration tables, or transition-path figures.

Calibration/data audit

For each calibrated or empirical object, record:

text
Object | Source | Transformation | Moment/target | Script | Manuscript location

This catches common growth-paper replication failures: undocumented historical series, country-code harmonization drift, purchasing-power or deflator choices, calibration targets that do not match the reported table, and transition-path scripts that cannot be rerun from a clean checkout. If data are constructed by hand from historical sources, include the transcription notes and source images or access instructions when permissions allow.

Historical and geospatial documentation duties

Deep-determinants packages carry failure modes beyond a standard code archive:

  • Digitized historical sources: archive the scan references, transcription rules, and the share of pages double-entered for error checking; record the holding archive and license for every map or census volume.
  • GIS layers: state the projection/CRS, raster resolution, and the construction chain (e.g., least-cost-path cost-surface parameters); ship shapefiles, or exact download instructions when redistribution is barred.
  • Boundary harmonization: include the crosswalk between historical polities and modern units with the rule applied to split or merged units — referees at this venue do re-run persistence results on alternative crosswalks.
  • Distance and terrain variables: the build script matters more than the variable itself; one undocumented cost-surface assumption can move headline coefficients.
Show full SKILL.md (196 more words)Show less

Worked vignette — packaging a deep-roots paper

Illustrative inventory for a manuscript instrumenting institutions with a historical shock across 1,800 districts:

  • data_sources.md lists 6 sources: two public cross-country series, one digitized 19th-century census (scans archived, license noted), one proprietary geocoded survey (access instructions only, no raw deposit), and two constructed GIS rasters with full build scripts.
  • manuscript_map.md covers 9 exhibits, each tied to a script; Table 3's Conley standard errors are flagged as depending on the spatial-weights script with a fixed seed.
  • The known-gap note records that the survey vendor forbids redistribution; the Data Availability Statement says so and points to the application procedure — confirm the exact statement wording against the journal's current author guidelines.

Deposit decision rules

  • Public secondary data → deposit extracts plus build code; cite the original source DOI.
  • Author-digitized historical data → deposit the dataset and transcription notes; at this journal that dataset is often the paper's most durable contribution.
  • Proprietary or restricted data → deposit code plus a masked or synthetic sample where the license allows, and document the access path step by step.
  • Simulation/calibration-only papers → deposit the full solver and parameter files so every transition path regenerates exactly from a clean checkout.

Output format

text
[Data status] public / restricted / proprietary / simulated / mixed
[Statement draft] ...
[Code archive] ...
[Calibration files] ...
[Gaps before submission] ...
[Next step] jeg-submission

© 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-Economic-Growth-Skills/skills/jeg-replication-and-data-policy of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Jeg Replication And Data Policy compared with similar skills
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Categories

Questions about Jeg Replication And Data Policy

What does Jeg Replication And Data Policy do?

A skill your agent uses when preparing Journal of Economic Growth (JEG) data availability statements, replication code, calibration files, digitized historical sources, GIS layers, and Springer…. Jeg Replication And Data Policy is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing Journal of Economic Growth (JEG) data availability statements, replication code, calibration files, digitized historical sources, GIS layers, and Springer Nature research-data documentation for empirical, quantitative, or theoretical growth and comparative-development papers.

When should I use Jeg Replication And Data Policy?

Jeg Replication And Data Policy fits situations like: preparing Journal of Economic Growth (JEG) data availability statements; replication code; calibration files; digitized historical sources.

How do I install Jeg Replication And Data Policy in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-replication-and-data-policy -a claude-code`. Or copy the skill folder (Journal-of-Economic-Growth-Skills/skills/jeg-replication-and-data-policy in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jeg-replication-and-data-policy in your project. Claude Code loads it when a task matches its description.

How do I install Jeg Replication And Data Policy in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-replication-and-data-policy -a codex`. Or copy the skill folder (Journal-of-Economic-Growth-Skills/skills/jeg-replication-and-data-policy in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jeg-replication-and-data-policy in your project. Codex loads it when a task matches its description.

Can I use Jeg Replication And Data Policy 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 jeg-replication-and-data-policy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jeg-replication-and-data-policy, .gemini/skills/jeg-replication-and-data-policy, .github/skills/jeg-replication-and-data-policy and .opencode/skills/jeg-replication-and-data-policy in your project.

What does Jeg Replication And Data Policy need to run?

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

Does Jeg Replication And Data Policy 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 Jeg Replication And Data Policy 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 Jeg Replication And Data Policy use?

Jeg Replication And Data Policy 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 Jeg Replication And Data Policy use?

About 1.3k tokens (SKILL.md is roughly 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 Jeg Replication And Data Policy?

Skills that share tags, products or a category with Jeg Replication And Data Policy: Hybrid Cloud Outboxes (getsentry/sentry, 46k stars), Replicate Video Ad (Jingyi-Wu-Richael/replicate-video-ad, 108 stars), Sea Orm 2 (FlyinPancake/yoink, 112 stars) and Pixel Perfect Replication (Yu-369/VibeCurb, 979 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jeg Replication And Data Policy?

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.