aer-referee-sim
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.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aer-referee-sim --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AER Referee Simulation ## Overview 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 the real one. The failure mode of self-review (human or AI) is leniency: reviewing the paper one hopes was written instead of the o
What does the aer-referee-sim skill do?
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.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aer-referee-sim --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.