A skill your agent uses when a complete draft exists and needs an adversarial internal review before submission — simulating the AER desk screen and three referee reports with calibrated severity…

Custom licenceAuto-check passedEducation

Install Aer Referee Sim

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aer-referee-sim -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills aer-referee-sim --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/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/50-brycewang-aer-skills/skills/aer-referee-sim .claude/skills/aer-referee-sim && 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
aer-referee-sim
GitHub stars
4.6k
Used in
1 other repo
Token cost
~2.7k tokens
SKILL.md length
1,230 words
Files
3 (incl. references)
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses when a complete draft exists and needs an adversarial internal review before submission — simulating the AER desk screen and three referee reports with calibrated severity…

  • Works in 3 steps: The Desk Screen → Three Referee Reports → Editor Synthesis and Verdict
  • Scoring the paper against the editorial rubric
  • SKILL.md covers Overview, When to Use, Stage 1 — The Desk Screen and Stage 2 — Three Referee Reports, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Aer Referee Sim is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Use when a complete draft exists and needs an adversarial internal review before submission — simulating the AER desk screen and three referee reports with calibrated severity, scoring the paper against the editorial rubric, and producing a prioritized revise list. Apply after aer-consistency passes and before aer-submission; rerun until the simulated verdict is at least major R&R.

Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/scoring-rubric.md`).

It sits in Education, covering Quizzes and assessments. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • Scoring the paper against the editorial rubric
  • Producing a prioritized revise list

Example prompts

  • “/aer-referee-sim”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. The Desk Screen
  2. Three Referee Reports
  3. Editor Synthesis and Verdict

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. 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

Aer Referee Sim loads about 2.7k tokens when it runs, and up to ~5.2k if it reads all its reference files. Until then it costs about 100 tokens; SKILL.md has 1,230 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.2k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,230 words (~2,696 tokens).

“Most papers submitted to AER are rejected; the realistic acceptance rate is 6-8 percent, and a large share never reach referees. The cheapest referee report is the one generated before submission — but only if it is as harsh as…”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
aer-referee-sim

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in skills/50-brycewang-aer-skills/skills/aer-referee-sim of brycewang-stanford/Auto-Empirical-Research-Skills.

  • SKILL.md
  • agents/openai.yaml
  • references/scoring-rubric.md

Open the folder on GitHubat commit 9fa87d8

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in brycewang-stanford/Auto-Empirical-Research-Skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Aer Referee Sim 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.

Aer Referee Sim compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Aer Referee Sim this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.6k1 repos~2.7kAutomated safety check: PassCustom licence
Scholar EvaluationK-Dense-AI/claude-scientific-writer2.4k2 repos~2.9kAutomated safety check: NotesMIT
Grounded Reviewgaotiexinqu/OneResearchClaw450—~15kAutomated safety check: PassMIT
Research Proposalgaasher/Agent-Loop-Skills174—~2.5kAutomated safety check: PassMIT
DeepTutor CLIHKUDS/DeepTutor41k—~2.8kAutomated safety check: PassApache-2.0
AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch66k—~2kAutomated safety check: PassMIT

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Questions about Aer Referee Sim

What does Aer Referee Sim do?

A skill your agent uses when a complete draft exists and needs an adversarial internal review before submission — simulating the AER desk screen and three referee reports with calibrated severity…. Aer Referee Sim is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Use when a complete draft exists and needs an adversarial internal review before submission — simulating the AER desk screen and three referee reports with calibrated severity, scoring the paper against the editorial rubric, and producing a prioritized revise list.

When should I use Aer Referee Sim?

Aer Referee Sim fits situations like: scoring the paper against the editorial rubric; producing a prioritized revise list.

How do I install Aer Referee Sim in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aer-referee-sim -a claude-code`. Or copy the skill folder (skills/50-brycewang-aer-skills/skills/aer-referee-sim in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/aer-referee-sim in your project. Claude Code loads it when a task matches its description.

How do I install Aer Referee Sim in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aer-referee-sim -a codex`. Or copy the skill folder (skills/50-brycewang-aer-skills/skills/aer-referee-sim in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/aer-referee-sim in your project. Codex loads it when a task matches its description.

Can I use Aer Referee Sim 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/Auto-Empirical-Research-Skills --skill aer-referee-sim -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aer-referee-sim, .gemini/skills/aer-referee-sim, .github/skills/aer-referee-sim and .opencode/skills/aer-referee-sim in your project.

What does Aer Referee Sim need to run?

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

Does Aer Referee Sim 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 Aer Referee Sim 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 Aer Referee Sim use?

Aer Referee Sim has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Aer Referee Sim use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.5k tokens, read only when the agent opens those files.

What are the alternatives to Aer Referee Sim?

Skills that share tags, products or a category with Aer Referee Sim: Scholar Evaluation (K-Dense-AI/claude-scientific-writer, 2.4k stars), Grounded Review (gaotiexinqu/OneResearchClaw, 450 stars), Research Proposal (gaasher/Agent-Loop-Skills, 174 stars) and DeepTutor CLI (HKUDS/DeepTutor, 41k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aer Referee Sim?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.