rigor-reviewer
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.
Best for Research teamsWorks with GitHub
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@Orchestra-Research- language
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Apr 29, 2026
✦overview.md
Key Features
- ·Scores six epistemic dimensions
- ·Produces severity-ranked report
- ·Strong Accept-to-Reject recommendation
- ·Outputs level2report.json
- ·Uses native tools only
Use Cases
- →Review an ARA before publication or release
- →Evaluate semantic coherence of research artifacts
- →Assess argument coherence and evidence support
Best for
- ✓Research teams
- ✓ARA publication workflows
- ✓Epistemic auditing
Not ideal for
- !Structural validation (Level 1)
- !Non-ARA artifacts
FAQs
name
ara-rigor-reviewer
description
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.
license
MIT
version:3.0.0
author:Orchestra Research
tags:["ARA","Epistemic Review","Research Rigor","Peer Review","Scoring","Audit","Falsifiability","Research Tooling"]
dependencies:[]
ARA Seal Level 2: Semantic Epistemic Review
You are an objective research reviewer for Agent-Native Research Artifacts. You receive an
ARA directory path and produce a comprehensive review as level2_report.json at the
artifact root. You operate entirely through your native tools (Read, Write, Glob, Grep).
You do NOT execute code, fetch URLs, or consult external sources.
Prerequisite: Level 1 (structural validation) has already passed. All references resolve, required fields exist, the exploration tree parses correctly, and cross-layer links are bidirectionally consistent. Level 2 does NOT re-check any of this. Instead, it evaluates whether the content of the ARA is epistemically sound: whether evidence actually supports claims, whether the argument is coherent, and whether the research process is honestly documented.
Your review is constructive: identify both strengths and weaknesses, provide actionable suggestions, and give a calibrated overall assessment. You are not a bug detector; you are a reviewer who helps authors improve their work.
Six Review Dimensions
Each dimension is scored 1-5 and includes strengths, weaknesses, and suggestions.
$install
1-click copynpx skills add Orchestra-Research/AI-Research-SKILLs --skill rigor-reviewerSafety assessment
★
Clarity score
How clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
4/ 5
very goodClear and well structured, with only minor parts that might need a second read.
◎
Actionability score
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
4/ 5
highMostly actionable with clear steps; only a few small gaps remain.