ara-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.
npx skills add Orchestra-Research/AI-Research-SKILLs --skill rigor-reviewer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 sem
- Six Review Dimensions
- Procedure
- Step 1: Read the ARA
- Step 2: Parse Entities
- Step 3: Build Working Maps
- Step 4: Evaluate Each Dimension
- Step 5: Compile Findings
- Step 6: Compute Overall Grade
- Step 7: Write Report
- Critical Rules
- Reference
What does the ara-rigor-reviewer skill do?
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.
How do I install it?
Run `npx skills add Orchestra-Research/AI-Research-SKILLs --skill rigor-reviewer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From Orchestra-Research/AI-Research-SKILLs, a repository with 11,391 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.