Agent skill

Aejmic Replication Package

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

A skill your agent uses when assembling the proof appendix and any code/data deposit for an American Economic Journal: Microeconomics (AEJ: Micro) manuscript under the AEA Data and Code Availability…

MITAuto-check passedResearch & Science

Install Aejmic Replication Package

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejmic-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/AEJ-Microeconomics-Skills/skills/aejmic-replication-package .claude/skills/aejmic-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
aejmic-replication-package
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
542 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 proof appendix and any code/data deposit for an American Economic Journal: Microeconomics (AEJ: Micro) manuscript under the AEA Data and Code Availability…

  • Tasks that involve Econometrics and empirical research
  • SKILL.md covers When to trigger, The proof appendix (every AEJ:…, Code / data deposit (papers… and Checklist, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Aejmic Replication Package is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when assembling the proof appendix and any code/data deposit for an American Economic Journal: Microeconomics (AEJ: Micro) manuscript under the AEA Data and Code Availability Policy. Covers proof appendices for pure theory plus numerical/structural/experimental code; it does not run your estimation.

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 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

  • Tasks that involve Econometrics and empirical research

Example prompts

  • “/aejmic-replication-package”

Requirements

  • Python 3

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

Aejmic Replication Package loads about 1.2k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 542 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
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). 542 words, ~1,219 tokens.

Download SKILL.mdSave it as .claude/skills/aejmic-replication-package/SKILL.md (or your agent's skills folder).
name
aejmic-replication-package
description
Use when assembling the proof appendix and any code/data deposit for an American Economic Journal: Microeconomics (AEJ: Micro) manuscript under the AEA Data and Code Availability Policy. Covers proof appendices for pure theory plus numerical/structural/experimental code; it does not run your estimation.

Replication Package: Proofs + Code (aejmic-replication-package)

For AEJ: Micro the "replication package" has two faces: the proof appendix that makes every theory claim verifiable, and, for any paper with data, code, experiments, or numerical results, an AEA Data and Code Repository deposit. Pure-theory papers still deposit any numerical/simulation code used to generate examples or figures.

When to trigger

  • Proofs are scattered, abbreviated, or rely on "it can be shown"
  • The paper has numerical examples, simulations, structural estimation, or an experiment with no deposit prepared
  • You are preparing for the AEA Data Editor check (administered before publication)
  • A referee or editor flags reproducibility

The proof appendix (every AEJ: Micro paper)

  • Self-contained proofs of all stated results. Key proofs belong in the paper (main text or appendix); do not exile a load-bearing proof to supplementary material.
  • Lemma scaffolding: state and prove auxiliary lemmas before the main theorem; reference them precisely.
  • Verify, do not assert: no "it can be shown that" for a claim the result depends on; complete the argument or cite a precise source.
  • Match the statement: the proof establishes exactly what the proposition claims (no gap between the body statement and what is proved).

Code / data deposit (papers with data, code, experiments, or numerical results)

The AEA operates a Data and Code Availability Policy administered by the AEA Data Editor (currently Lars Vilhuber — 检索于 2026-06,以官网为准), with materials deposited to the AEA Data and Code Repository on openICPSR. Build it as you go.

  • One master script (run_all) regenerating every table, figure, and numerical example from inputs.
  • Pin versions: requirements.txt / conda (Python), renv.lock (R), Project.toml / Manifest.toml (Julia), recorded Stata ssc/net versions.
  • Set and report seeds for any simulation, bootstrap, or randomization.
  • README mapping each exhibit to the script that produces it; document any restricted-data or partial-reproduction scope.
  • Pure-theory papers: deposit the code behind numerical examples / figures even when there is no dataset.
  • Experiments: include instructions, z-Tree/oTree code, raw and analysis data, and pre-registration links.
Show full SKILL.md (221 more words)Show less

Checklist

  • All stated results have self-contained proofs; none rely on "it can be shown"
  • Auxiliary lemmas stated and proved before they are used
  • Each proof matches exactly what its proposition claims
  • (If any data/code/numerics) one master script regenerates all exhibits
  • Versions pinned; seeds set and reported
  • README maps every exhibit to its script; restricted/partial scope documented
  • Pure-theory numerical-example code deposited even with no dataset
  • Experiment materials (instructions, code, data, pre-registration) included

Anti-patterns

  • A "Proof." that asserts rather than argues the load-bearing step
  • A load-bearing proof hidden in an un-checked supplementary file
  • Numerical figures with no deposited code ("available on request")
  • Unpinned dependencies / unset seeds — results not reproducible by the Data Editor
  • Deferring the whole package to acceptance, then scrambling under the Data Editor deadline

Worked vignette (illustrative)

A persuasion paper has a clean Proposition 2 but its proof says "concavifying the value function yields the cutoff." For the appendix: state the auxiliary lemma (the value function's concave closure equals the indirect utility), prove it, then derive the cutoff explicitly — no hand-wave. The two numerical figures are generated by make_figures.py; deposit it with a fixed seed and a README line mapping Figure 3 → make_figures.py, even though there is no dataset.

Output format

【Proof appendix】all results proved, self-contained, no "it can be shown"? [Y/N]
【Lemma scaffolding】auxiliary results proved before use? [Y/N]
【Code/data deposit needed?】[yes — data/structural/experimental/numerical | theory-only numerics]
【Master script + pinned versions + seeds】[Y/N]
【README exhibit→script map】[Y/N]
【Next step】aejmic-referee-strategy then aejmic-submission

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 AEJ-Microeconomics-Skills/skills/aejmic-replication-package of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Aejmic 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.

Aejmic Replication Package compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Aejmic Replication Package this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT
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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

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Questions about Aejmic Replication Package

What does Aejmic Replication Package do?

A skill your agent uses when assembling the proof appendix and any code/data deposit for an American Economic Journal: Microeconomics (AEJ: Micro) manuscript under the AEA Data and Code Availability…. Aejmic Replication Package is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when assembling the proof appendix and any code/data deposit for an American Economic Journal: Microeconomics (AEJ: Micro) manuscript under the AEA Data and Code Availability Policy.

When should I use Aejmic Replication Package?

Aejmic Replication Package fits situations like: tasks that involve Econometrics and empirical research.

How do I install Aejmic Replication Package in Claude Code?

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

How do I install Aejmic Replication Package in Codex?

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

Can I use Aejmic 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 aejmic-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/aejmic-replication-package, .gemini/skills/aejmic-replication-package, .github/skills/aejmic-replication-package and .opencode/skills/aejmic-replication-package in your project.

What does Aejmic Replication Package need to run?

SKILL.md names no scripts, command-line tools or credentials: Aejmic Replication Package is instructions for the agent only. Our summary lists: Python 3.

Does Aejmic 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 Aejmic 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 Aejmic Replication Package use?

Aejmic 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 Aejmic Replication Package use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 Aejmic Replication Package?

Skills that share tags, products or a category with Aejmic 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 Aejmic 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.