peer-reviewer
AI-powered academic paper reviewer. Uses a multi-agent system (Deconstructor, Devil's Advocate, Judge) to analyze papers for logical flaws, contradictions, and empirical validity.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/sschepis/peer-reviewerPeer Reviewer
A rigorous academic review system that uses multiple AI agents to deconstruct, attack, and judge scientific papers.
When to use
Use this skill when:
- The user asks to "review this paper" or "find flaws in this logic".
- You need to check an academic paper for contradictions with established literature.
- You want a "Reviewer 2" style critique of a text.
How to use
Run the tool via the Node.js CLI in the installation directory.
Directory: /Users/sschepis/Development/peer-reviewer
Command
node dist/index.js "<path_to_paper_or_raw_text>"
Arguments
path_to_paper_or_raw_text: either a file path (absolute or relative to the package root) OR the raw text of the paper/claim.
Output
The tool outputs a "Merit Report" in JSON format, containing:
overallScore(0-10)defenseStrategysuggestions(list of improvements)dimensions(scores for logic, novelty, etc.)
Examples
Review a local file:
cd /Users/sschepis/Development/peer-reviewer
node dist/index.js "/Users/sschepis/Desktop/research/draft_v1.txt"
Review a raw claim:
cd /Users/sschepis/Development/peer-reviewer
node dist/index.js "Claim: P=NP because I can solve Traveling Salesman in O(1) by guessing."
Configuration
Ensure google.json is present in the root directory or GOOGLE_APPLICATION_CREDENTIALS is set if running in a new environment.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-sschepis-peer-reviewer": {
"enabled": true,
"auto_update": true
}
}
}