isitcredible

isitcredible / reviewer2

Public
19
2
100% credibility
Found Apr 18, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

An open-source tool that uses AI to generate critical, adversarial peer reviews of academic PDF papers, including optional audits for math and code.

How It Works

1
🔍 Discover the Tool

You hear about this free AI helper that gives tough, honest feedback on academic papers like a strict peer reviewer.

2
💻 Set It Up

You easily add the tool to your computer so it's ready to use anytime.

3
🧠 Connect Smart AI

You link a thinking AI service from Google to power the deep analysis.

4
📄 Upload Your Paper

You share the PDF of the paper you want reviewed, feeling excited for fresh insights.

5
Pick Your Review Style
✅
Basic Review

Get the core critique on credibility and issues.

📐
Add Math Check

Include a special scan for equations and proofs.

💻
Add Code Review

Examine any attached code for bugs and matches to claims.

6
⏳ Let It Analyze

You start the process and relax while it carefully reads and critiques over 15-45 minutes.

📝 Receive Your Report

You get a clear, detailed review with issues spotted, advice for fixes, and ideas for next steps.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 19 to 19 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is reviewer2?

Reviewer2 is a Python CLI tool that automates adversarial peer review for academic PDFs, powered by Google Gemini. Feed it a paper via `reviewer2 paper.pdf -o report.txt`, and it spits out a plain-text critique covering credibility, issues, and future research after a 30+ stage LLM chain of aggressive attacks, defenses, and verifications. It solves the drudgery of manual paper review, with opt-in math audits via Mathpix and code audits from replication directories.

Why is it gaining traction?

It channels the reviewer 2 meme into a structured pipeline: red-team agents (Breaker, Butcher) hunt flaws, blue-team defends, and checkers filter hallucinations—benchmarked in a paper on optimizing review generation through prompt engineering. Unlike basic summarizers, it handles supplements, enforces page limits, and resumes interrupted runs, all while costing just dollars per review. The open-source snapshot of isitcredible.com's service draws devs tweaking prompts for their own reviewer2 datasets.

Who should use this?

Academic researchers validating manuscripts before submission, journal editors triaging submissions, or replication auditors checking code alongside papers. Ideal for empirical economists, theorists with math-heavy proofs, or anyone with replication packages in Python/R/Stata needing a sanity check.

Verdict

Try it for smoke tests on your papers—solid docs, easy install, but at 19 stars and 1.0% credibility score, it's early alpha; expect tweaks as the hosted service evolves. Worth forking if you're into LLM prompt chains for critique.

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.