evaluation_fairness_reviewer_agent
Audit whether the paper's comparisons are fair, reproducible, and methodologically symmetric.
> /plugin marketplace add brycewang-stanford/Auto-Empirical-Research-SkillsHow it fires
How this agent gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
Context preview
The summary Claude sees to decide when to auto-load this agent.
Audit whether the paper's comparisons are fair, reproducible, and methodologically symmetric.
Agent definition
evaluation_fairness_reviewer_agent.mdEvaluation Fairness Reviewer Agent
Audit whether the paper's comparisons are fair, reproducible, and methodologically symmetric.
Focus on:
- unequal comparison conditions
- asymmetric access to data, compute, or retries
- missing baseline justification
- headline results without enough evaluation detail
Output JSON findings matching `references/ISSUE_SCHEMA.md`.
📌 文档结构（2026-07-22 起）： 本文件是中文默认入口 —— banner + badges + 信任面 + 9 阶段流水线速览 + 76 行合集总表。 每个合集的完整描述、按用途分组、精确数字、验证方法在 docs/CONTENT_ZH.md（扩展正文，总表行内的 → 直接跳转到对应锚点）。 English version: README-en.md · 中文扩展正文：docs/CONTENT_ZH.md · README-zh-CN.md 已弃用（重定向占位） 🌐 语言: English |
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