# Ara Rigor Reviewer

Performs ARA Seal Level 2 semantic epistemic review on Agent-Native Research Artifacts...

- Repository: https://github.com/Orchestra-Research/AI-Research-SKILLs (14176 stars)
- Category: AI and agents
- License: MIT
- Last updated: 2026-10-11
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add Orchestra-Research/AI-Research-SKILLs --skill ara-rigor-reviewer -g -a claude-code -y`
Codex: `npx skills add Orchestra-Research/AI-Research-SKILLs --skill ara-rigor-reviewer -g -a codex -y`
Cursor: `npx skills add Orchestra-Research/AI-Research-SKILLs --skill ara-rigor-reviewer -g -a cursor -y`
Gemini CLI: `npx skills add Orchestra-Research/AI-Research-SKILLs --skill ara-rigor-reviewer -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add Orchestra-Research/AI-Research-SKILLs`

## 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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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.
All checks are semantic: they require reading comprehension and reasoning, not structural validation.

The rest: https://github.com/Orchestra-Research/AI-Research-SKILLs/blob/HEAD/22-agent-native-research-artifact/rigor-reviewer/SKILL.md