SkillHub

peer-reviewer

v1.0.0

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.

Sourced from ClawHub, Authored by sschepis

Installation

Please help me install the skill `peer-reviewer` from SkillHub official store. npx skills add sschepis/peer-reviewer

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.