A skill your agent uses when calibrating expectations for the fast, decisive American Economic Review: Insights (AER: Insights) review process — conditional-accept-or-reject decisions, the…

MITAuto-check passedResearch & Science

Install Aeri Referee Strategy

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

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

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

At a glance

A skill your agent uses when calibrating expectations for the fast, decisive American Economic Review: Insights (AER: Insights) review process — conditional-accept-or-reject decisions, the…

  • Calibrating expectations for the fast
  • SKILL.md covers When to trigger, The AER: Insights process…, Pre-empt the objections a… and Calibrating the bet, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Decisive American Economic Review: Insights (AER: Insights) review process — conditional-accept-or-reject decisions

What it does

Aeri Referee Strategy is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when calibrating expectations for the fast, decisive American Economic Review: Insights (AER: Insights) review process — conditional-accept-or-reject decisions, the single-round model, and pre-empting the objections a short paper cannot afford. Explains the process and stress-tests the paper; it does not write the response letter (see aeri-rebuttal).

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 Peer review and Load testing. 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

  • Calibrating expectations for the fast
  • Decisive American Economic Review: Insights (AER: Insights) review process — conditional-accept-or-reject decisions
  • The single-round model
  • Pre-empting the objections a short paper cannot afford

Example prompts

  • “/aeri-referee-strategy”

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

Aeri Referee Strategy loads about 1.2k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 531 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
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). 531 words, ~1,202 tokens.

Download SKILL.mdSave it as .claude/skills/aeri-referee-strategy/SKILL.md (or your agent's skills folder).
name
aeri-referee-strategy
description
Use when calibrating expectations for the fast, decisive American Economic Review: Insights (AER: Insights) review process — conditional-accept-or-reject decisions, the single-round model, and pre-empting the objections a short paper cannot afford. Explains the process and stress-tests the paper; it does not write the response letter (see aeri-rebuttal).

Referee Strategy & the Fast Review Model (aeri-referee-strategy)

When to trigger

  • Before submission, to understand how AER: Insights decides and what referees punish
  • Deciding whether the paper can survive a process with no traditional R&R
  • Anticipating the one or two objections that would sink a short paper
  • Choosing whether to risk AER: Insights vs. a journal that offers multiple rounds

The AER: Insights process (official AEA baseline checked 2026-06-20)

AER: Insights runs single-blind AEA peer review: authors are visible to referees, while referees remain anonymous to authors. It is deliberately fast and decisive:

  • First decision is conditional accept or reject — there is no traditional revise-and-resubmit category.
  • Conditional accept means the editor expects to publish subject to changes in the decision letter; authors usually get about 8 weeks to return the revision, which is normally not sent back to referees for a second round.
  • Reject is reject — there is no iterative path to wear referees down. The screening is sharp: a paper over the word/exhibit cap is returned unreviewed.
  • Editor as of 2026: Matthew Gentzkow (lead editor beginning January 2024; founding editor Amy Finkelstein). Aim for AER-level importance in a short, clean package.

Strategic implication: because there is no R&R to fix things later, the paper must be submission-ready and objection-proofed up front. You get essentially one substantive look. A weak design, an overclaim, or a missing key check that an AER R&R would let you repair will instead produce a reject here.

Pre-empt the objections a short paper cannot survive

A short paper has no room to answer everything during review, so answer the decisive objections before submitting:

Likely objectionPre-empt before submission
"Not important / not general interest"Lead with the surprise and the prior overturned (aeri-topic-selection)
"Already known / incremental"Confront the closest paper directly (aeri-literature-positioning)
"Design not credible"Put the single strongest diagnostic in-text (aeri-identification)
"Result not robust"One in-text check + a signposted appendix battery (aeri-robustness)
"Overclaimed"Calibrate the claim to exactly what is identified

Use the venue-neutral reviewer-objection-checklist to stress-test the design by identification strategy before drafting the final version.

Show full SKILL.md (190 more words)Show less

Calibrating the bet

  • If the single insight is genuinely important and the design is clean, AER: Insights offers a fast, high-prestige outcome.
  • If the paper needs several rounds of referee guidance to reach credibility, a journal with R&R may fit better — AER: Insights will likely reject rather than coach.
  • A rejected AER: Insights paper is often a strong fit for an AEJ field journal; some flow between AEA journals exists.

Checklist

  • You understand: conditional accept or reject only, no traditional R&R
  • The paper is submission-ready — no key check is being deferred to a future round
  • Each decisive objection above is pre-empted in-text or in the appendix
  • Importance/general-interest is argued, not assumed
  • Word/exhibit caps are met (else auto-return) before referees ever see it
  • A fallback venue (e.g., an AEJ) is identified in case of reject

Anti-patterns

  • Submitting a "first draft to get referee feedback" — there is no R&R to iterate on
  • Leaving the single most likely objection unaddressed, hoping to fix it in revision
  • Assuming importance instead of making the surprise explicit
  • Ignoring the cap and getting returned before review
  • Treating a reject as the start of a negotiation

Output format

【Process understood】conditional-accept/reject, no R&R, ~8wk conditional window? [Y/N]
【Decisive objections pre-empted】importance / novelty / design / robustness / claims
【Submission-ready】no key check deferred to a nonexistent round? [Y/N]
【Caps met】word + exhibit limits satisfied (no auto-return)? [Y/N]
【Fallback venue】<AEJ or field journal if reject>
【Next step】aeri-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 AER-Insights-Skills/skills/aeri-referee-strategy of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Aeri Referee Strategy 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.

Aeri Referee Strategy compared with similar skills
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Aeri Referee Strategy this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT
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LLM Counciltenfoldmarc/llm-council-skill8231 repos~4.2kAutomated safety check: PassNone
Paper ReviewCamusGIT/EvoQuant1512 repos~2.6kAutomated safety check: PassApache-2.0
Review Paperpedrohcgs/claude-code-my-workflow1.7k—~7.3kAutomated safety check: PassMIT

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Questions about Aeri Referee Strategy

What does Aeri Referee Strategy do?

A skill your agent uses when calibrating expectations for the fast, decisive American Economic Review: Insights (AER: Insights) review process — conditional-accept-or-reject decisions, the…. Aeri Referee Strategy is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when calibrating expectations for the fast, decisive American Economic Review: Insights (AER: Insights) review process — conditional-accept-or-reject decisions, the single-round model, and pre-empting the objections a short paper cannot afford.

When should I use Aeri Referee Strategy?

Aeri Referee Strategy fits situations like: calibrating expectations for the fast; decisive American Economic Review: Insights (AER: Insights) review process — conditional-accept-or-reject decisions; the single-round model; pre-empting the objections a short paper cannot afford.

How do I install Aeri Referee Strategy in Claude Code?

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

How do I install Aeri Referee Strategy in Codex?

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

Can I use Aeri 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 aeri-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/aeri-referee-strategy, .gemini/skills/aeri-referee-strategy, .github/skills/aeri-referee-strategy and .opencode/skills/aeri-referee-strategy in your project.

What does Aeri Referee Strategy need to run?

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

Does Aeri 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 Aeri 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 Aeri Referee Strategy use?

Aeri 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 Aeri Referee Strategy use?

About 1.2k tokens (SKILL.md is roughly 4.8k 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 Aeri Referee Strategy?

Skills that share tags, products or a category with Aeri Referee Strategy: Paper Review (EvoScientist/EvoSkills, 478 stars), Weakness Scanner (flonat/flonat-research, 146 stars), LLM Council (tenfoldmarc/llm-council-skill, 823 stars) and Paper Review (CamusGIT/EvoQuant, 151 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aeri 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.