Ara Rigor Reviewer
技能 已验证 活跃Performs ARA Seal Level 2 semantic epistemic review on Agent-Native Research Artifacts, scoring six dimensions (evidence relevance, falsifiability, scope calibration, argument coherence, exploration integrity, methodological rigor) and producing a constructive, severity-ranked report with a Strong Accept-to-Reject recommendation. Use after Level 1 structural validation passes, when an ARA needs an objective epistemic critique before publication or release.
To provide an objective, automated critique of the epistemic soundness of AI research artifacts, ensuring rigor before publication or release.
功能
- Performs semantic epistemic review (Level 2)
- Scores six dimensions of research rigor
- Produces severity-ranked findings and reports
- Outputs a Strong Accept-to-Reject recommendation
- Operates on Agent-Native Research Artifacts
使用场景
- Use after Level 1 structural validation passes on an ARA.
- When an ARA needs objective epistemic critique before publication.
- To ensure evidence relevance, falsifiability, scope calibration, argument coherence, exploration integrity, and methodological rigor.
非目标
- Performing Level 1 structural validation.
- Executing code or fetching external URLs.
- Re-checking reference resolution or field presence.
- Replacing human expert review entirely; provides a calibrated critique.
Practical Utility
- info:Usage examplesWhile the SKILL.md details the procedure and findings format, concrete end-to-end examples of input ARA structure and resulting JSON reports are not explicitly provided.
安装
请先添加 Marketplace
/plugin marketplace add Orchestra-Research/AI-Research-SKILLs/plugin install AI-Research-SKILLs@ai-research-skills质量评分
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