Agent skill

Aejpol Referee Strategy

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

A skill your agent uses when anticipating how AEJ: Economic Policy referees and editors will read a manuscript, before submission or before an R&R, to pre-empt the objections that sink…

MITAuto-check passedResearch & Science

Install Aejpol Referee Strategy

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejpol-referee-strategy -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejpol-referee-strategy --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-Economic-Policy-Skills/skills/aejpol-referee-strategy .claude/skills/aejpol-referee-strategy && 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
aejpol-referee-strategy
GitHub stars
1.2k
Token cost
~1.3k tokens
SKILL.md length
567 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when anticipating how AEJ: Economic Policy referees and editors will read a manuscript, before submission or before an R&R, to pre-empt the objections that sink…

  • Works in 4 steps: Is it a policy paper of broad interest?… → Is the causal claim credible? (the… → Does the welfare/policy reading follow?… → …
  • Anticipating how AEJ: Economic Policy referees and editors will read a manuscript
  • SKILL.md covers When to trigger, How AEJ: Policy referees read, Checklist and Anti-patterns, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Aejpol Referee Strategy is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when anticipating how AEJ: Economic Policy referees and editors will read a manuscript, before submission or before an R&R, to pre-empt the objections that sink policy-evaluation papers. Maps likely pushback to fixes and calibrates expectations; it does not write the response letter (see aejpol-rebuttal) or fix the identification.

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 Research & Science, covering Peer review. 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

  • Anticipating how AEJ: Economic Policy referees and editors will read a manuscript
  • Before submission
  • Pre-empt the objections that sink policy-evaluation papers

Example prompts

  • “/aejpol-referee-strategy”

Workflow steps

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

  1. Is it a policy paper of broad interest? (the aejpol-topic-selection test) — a clean estimate with no policy lever or welfare reading…
  2. Is the causal claim credible? (the aejpol-identification test) — staggered TWFE, asserted parallel trends, a weak instrument, or an…
  3. Does the welfare/policy reading follow? (the aejpol-theory-model test) — a hand-waved "this is welfare-improving" or a…
  4. Is it robust and reproducible? (the aejpol-robustness / aejpol-replication-package tests).

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

Aejpol Referee Strategy loads about 1.3k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 567 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~90
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). 567 words, ~1,254 tokens.

Download SKILL.mdSave it as .claude/skills/aejpol-referee-strategy/SKILL.md (or your agent's skills folder).
name
aejpol-referee-strategy
description
Use when anticipating how AEJ: Economic Policy referees and editors will read a manuscript, before submission or before an R&R, to pre-empt the objections that sink policy-evaluation papers. Maps likely pushback to fixes and calibrates expectations; it does not write the response letter (see aejpol-rebuttal) or fix the identification.

Referee Strategy — Reading the Manuscript as an AEJ: Policy Referee (aejpol-referee-strategy)

When to trigger

  • Before submitting: you want to find the objections a referee will raise first
  • Deciding whether the paper is ready or needs another round of work
  • Calibrating expectations about the AEA single-blind process and timeline
  • Triaging which weaknesses to fix vs. disclose before submission

How AEJ: Policy referees read

AEJ: Policy reviews are single-blind through the AEA system (referees see the authors; authors do not see referees), refereed by economists who expect both credible causal evidence and a policy-relevant welfare reading. A referee typically tests four things in order; a paper dies at the first one it fails:

  1. Is it a policy paper of broad interest? (the aejpol-topic-selection test) — a clean estimate with no policy lever or welfare reading invites a "better suited to a field journal / AEJ: Applied" rejection.
  2. Is the causal claim credible? (the aejpol-identification test) — staggered TWFE, asserted parallel trends, a weak instrument, or an over-generalized RDD are the usual kill shots.
  3. Does the welfare/policy reading follow? (the aejpol-theory-model test) — a hand-waved "this is welfare-improving" or a sufficient-statistic formula whose assumptions are violated.
  4. Is it robust and reproducible? (the aejpol-robustness / aejpol-replication-package tests).
Pre-empting the predictable objections
Likely referee objectionPre-emption to build before submitting
"This isn't a policy paper / not broad-interest"Lead with the policy question + welfare stake; state the cost-benefit reading in the abstract
"Staggered TWFE is biased here"Heterogeneity-robust DID + Bacon decomposition + flat leads, in the main paper
"Parallel trends is assumed, not shown"Event-study leads + honest-DID bounds
"Exclusion restriction is not credible"Institutional + theoretical defense + falsification
"The welfare claim is hand-waved"Explicit sufficient-statistic / MVPF / cost-benefit derivation
"External validity is unclear"Heterogeneity by setting; explicit scope of the policy lesson
"Effect is significant but tiny / not policy-relevant"Benchmark the magnitude against budget / status quo
"Not reproducible / data unavailable"AEA-compliant package + restricted-data access path ready
Show full SKILL.md (251 more words)Show less
Calibrating expectations
  • AEA review is thorough; expect a small number of detailed referee reports and an editor letter. Plan for an R&R rather than a clean accept.
  • Decide in advance which objections you will fix (identification, robustness) vs. bound and disclose (external validity, a calibrated welfare parameter). Disclosing a limitation precisely is stronger than hiding it.

Checklist

  • The "is this a policy paper?" objection is pre-empted on page one
  • The single most likely identification objection has a main-text answer (not relegated to the appendix)
  • The welfare reading is derived, not asserted
  • Each predictable objection is mapped to an exhibit or paragraph that answers it
  • Limitations you cannot fix are bounded and disclosed precisely
  • Reproducibility is ready before the editor asks

Anti-patterns

  • Submitting hoping referees will not notice the staggered-TWFE / pre-trends problem
  • Hiding a known limitation instead of bounding and disclosing it
  • A welfare claim with no derivation, trusting the referee to grant it
  • Putting the decisive robustness check only in an online appendix the referee may skip
  • Mis-calibrating to a generic-journal process and ignoring AEA single-blind norms

Worked vignette (illustrative)

An education-policy paper using a funding-formula RDD anticipates three objections: (1) "local estimate only" → states the estimand and argues the threshold population is the marginal policy population; (2) "manipulation at the cutoff" → CJM density test + donut RDD; (3) "no welfare reading" → translates the test-score effect into a cost-per-standard-deviation and compares to class-size policies. All three answers are in the main text, so no referee can raise them as fatal.

Output format

【Broad-interest verdict】would a referee call this a policy paper? [Y/N + fix]
【Top identification objection】+ main-text pre-emption
【Welfare-reading objection】derived or hand-waved? + fix
【Objection→answer map】[objection → exhibit/paragraph]
【Fix vs. disclose list】what to fix now / what to bound and disclose
【Next step】aejpol-submission (if ready) or back to the named skill

© 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-Economic-Policy-Skills/skills/aejpol-referee-strategy of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Aejpol Referee Strategy

What does Aejpol Referee Strategy do?

A skill your agent uses when anticipating how AEJ: Economic Policy referees and editors will read a manuscript, before submission or before an R&R, to pre-empt the objections that sink…. Aejpol Referee Strategy is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when anticipating how AEJ: Economic Policy referees and editors will read a manuscript, before submission or before an R&R, to pre-empt the objections that sink policy-evaluation papers.

When should I use Aejpol Referee Strategy?

Aejpol Referee Strategy fits situations like: anticipating how AEJ: Economic Policy referees and editors will read a manuscript; before submission; pre-empt the objections that sink policy-evaluation papers.

How do I install Aejpol Referee Strategy in Claude Code?

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

How do I install Aejpol Referee Strategy in Codex?

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

Can I use Aejpol Referee Strategy 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 aejpol-referee-strategy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aejpol-referee-strategy, .gemini/skills/aejpol-referee-strategy, .github/skills/aejpol-referee-strategy and .opencode/skills/aejpol-referee-strategy in your project.

What does Aejpol Referee Strategy need to run?

SKILL.md names no scripts, command-line tools or credentials: Aejpol Referee Strategy is instructions for the agent only.

Does Aejpol Referee Strategy 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 Aejpol Referee Strategy 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 Aejpol Referee Strategy use?

Aejpol Referee Strategy 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 Aejpol Referee Strategy 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 Aejpol Referee Strategy?

Skills that share tags, products or a category with Aejpol Referee Strategy: Peer Review (spacering-net/codeg, 3.9k stars), Scholar Evaluation (spacering-net/codeg, 3.9k stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars) and Academic Paper Reviewer (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aejpol Referee Strategy?

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.