# 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.

- Skill: `kbarbel640-del/peer-reviewer` (Agent Skill, multi-file: 19 files)
- Install (CLI): `npx skillmds@latest add kbarbel640-del/peer-reviewer`
- Raw SKILL.md: https://api.skillmd.com/api/skills/kbarbel640-del/peer-reviewer/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: kbarbel640-del (https://skillmd.com/u/kbarbel640-del)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/kbarbel640-del/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

```bash
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:**
```bash
cd /Users/sschepis/Development/peer-reviewer
node dist/index.js "/Users/sschepis/Desktop/research/draft_v1.txt"
```

**Review a raw claim:**
```bash
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.