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.