ara-rigor-reviewer

Review Agent-Native Research Artifacts across six epistemic dimensions and produce severity-scored reports.

6|3|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/jonnabio/ace-framework --skill ara-rigor-reviewer-jonnabio
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ara-rigor-reviewer
Source: https://github.com/jonnabio/ace-framework/tree/main/.ace/packs/ai-research/rigor-reviewer
Command: npx skills add https://github.com/jonnabio/ace-framework --skill ara-rigor-reviewer-jonnabio

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill performs an in-depth, calibrated semantic epistemic review of Agent-Native Research Artifacts (ARA), assessing the rigor of their claims and methods. It helps authors ensure their ARA meets high-quality standards before publication or release.

Core Features & Use Cases

  • Semantic Epistemic Review: Scoring of six dimensions: evidence relevance, falsifiability, scope calibration, argument coherence, exploration integrity, and methodological rigor.
  • Constructive Report: Provides a severity-ranked report with a Strong Accept-to-Reject recommendation, along with actionable suggestions.
  • Use Case: Ideal for ARA authors who have passed Level 1 structural validation and require an objective critique before publication or release.

Quick Start

Perform a semantic epistemic review on an ARA located at the path 'ara-artifact'. The review report will be saved as 'level2_report.json' in the artifact root directory.

Frequently Asked Questions about ara-rigor-reviewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is semantic epistemic review for Agent-Native Research Artifacts?▼

Semantic epistemic review objectively assesses Agent-Native Research Artifacts by scoring evidence relevance, falsifiability, scope calibration, argument coherence, exploration integrity, and methodological rigor. It generates severity-ranked reports with actionable suggestions and Strong Accept-to-Reject recommendations.

How do I perform a peer review on an Agent-Native Research Artifact?▼

To perform a peer review, provide the path to your ARA artifact. The review assesses six rigor dimensions, generates severity scores, and saves a constructive improvement report as 'level2_report.json' in the artifact root directory.

Does the research rigor review require a specific artifact format?▼

Yes, the review requires specifically structured and annotated ARA files. It is designed for ARA authors who have already passed Level 1 structural validation and need an objective critique before publication.

What does an epistemic review report include?▼

An epistemic review report includes calibrated severity scores across six dimensions, a Strong Accept-to-Reject recommendation, and actionable suggestions for improving the research artifact's methodological rigor and argument coherence.

Can I use this review for ARA files that have not passed structural validation?▼

No, you should not use this review for unvalidated ARA files. The semantic epistemic review is explicitly designed as a second step for artifacts that have already passed Level 1 structural validation.

How is scope calibration assessed in an Agent-Native Research Artifact?▼

Scope calibration is assessed as one of six core dimensions during the semantic epistemic review. The process objectively evaluates the artifact's claims and methods, assigning a calibrated severity score to ensure research scope aligns with presented evidence.