ara-rigor-reviewer

Name: ara-rigor-reviewer
Availability: InStock
Author: OpenCoven

Score six research rigor dimensions and generate a severity-ranked report.

20|25|Updated May 30, 2026

Search Tags:#audit #scoring #peer review #research rigor #ARA #epistemic review

Ready to run

npx skills add https://github.com/OpenCoven/coven-cave --skill ara-rigor-reviewer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ara-rigor-reviewer
Source: https://github.com/OpenCoven/coven-cave/tree/main/marketplace/craft-sources/oracles-measure/rigor-reviewer
Command: npx skills add https://github.com/OpenCoven/coven-cave --skill ara-rigor-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill performs a detailed semantic epistemic review on Agent-Native Research Artifacts (ARA), ensuring research rigor and providing a constructive report with a Strong Accept-to-Reject recommendation.

Core Features & Use Cases

ARA Review: Scores six dimensions of research rigor and produces a severity-ranked report.
Objective Assessment: Evaluates evidence relevance, falsifiability, scope calibration, argument coherence, exploration integrity, and methodological rigor.
Use Case: After structural validation, use this Skill to get an objective critique of an ARA before publication or release.

Quick Start

Run the ara-rigor-reviewer skill on the ARA directory path to generate a level2_report.json.

Frequently Asked Questions about ara-rigor-reviewer

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

FAQPage Schema

How do I conduct an epistemic review of Agent-Native Research Artifacts?▼

To conduct an epistemic review of Agent-Native Research Artifacts, run this Skill on the ARA directory to score research rigor across six dimensions and generate a severity-ranked JSON report.

What dimensions are evaluated during research rigor scoring of ARA content?▼

Research rigor scoring evaluates ARA content across six dimensions: evidence relevance, falsifiability, scope calibration, argument coherence, exploration integrity, and methodological rigor.

How do I get a peer review recommendation for an ARA directory before publication?▼

To get a peer review recommendation for an ARA directory before publication, run this Skill to perform semantic checks and produce a severity-ranked report with a Strong Accept-to-Reject outcome.

Do I need to validate ARA files before running a methodological rigor audit?▼

Yes, you should perform structural validation of ARA files first; this Skill requires access to a specific ARA directory to conduct objective methodological rigor audits.

Can I automate ARA research rigor scoring for multiple artifacts?▼

You can automate research rigor scoring by running the Skill scripts against an ARA directory, which outputs a level2_report.json containing severity-ranked audit results.