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Skills · Auto-Empirical Research Skills (AERS) — first-party skills

aer-referee-sim

By Bryce Wang · as credited by the source

Adversarial internal review before submission — simulates the AER desk screen plus three referee reports with calibrated severity, scores against the editorial rubric, and produces a prioritized revise list; rerun until the simulated verdict is at least major R&R.

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Provenance

Project
Auto-Empirical Research Skills (AERS) — first-party skills
Maintained by
Bryce Wang (Stanford REAP / CoPaper.AI)
Licence
CC BY-SA 4.0 (repo default); MIT for the mirrored first-party collections (StatsPAI, AER-skills, Paper-WorkFlow) · installed from its source; e2er does not redistribute it
Source file
brycewang-stanford/Auto-Empirical-Research-Skills/blob/main/skills/50-brycewang-aer-skills/skills/aer-referee-sim/SKILL.md
Identifier
auto-empirical-research-skills/aer-referee-sim

Use it

e2er skills install auto-empirical-research-skills

The command is in e2er 0.10.0 and later.

Cite this skill
Persistent identifiers planned 
@software{brycewangstanfordreapcop2026aerrefereesim,
  title   = {aer-referee-sim},
  author  = {Bryce Wang (Stanford REAP / CoPaper.AI)},
  year    = {2026},
  note    = {e2er skill. Persistent identifier planned},
  url     = {https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/blob/main/skills/50-brycewang-aer-skills/skills/aer-referee-sim/SKILL.md}
}
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No e2er specialist loads this skill by default. Once installed, a template can assign it to a specialist.

Description

Data model
Discipline
Social sciences
Method family
Review
Design
not specified
Research stage
Review
Authors
Bryce Wang
Usage
not used in published research yet
Source
RISE skill catalogue · auto-empirical-research-skills · @4c17bae
Record
skill:auto-empirical-research-skills/aer-referee-sim · JSON

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More

reviewCC BY-SA 4.0 (repo default); MIT for the mirrored first-party collections (StatsPAI, AER-skills, Paper-WorkFlow)

Evaluations

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