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peer-reviewer

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.

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name: peer-reviewer description: 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. version: 1.0.0

Peer 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)
  • defenseStrategy
  • suggestions (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.

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