ChicagoHAI

OpenAIReview — AI skill for Claude Code

AI community

AI reviewing paper drafts for improvement.

How to install OpenAIReview

This entry records only its repository, not the path inside it, so there is no exact command to give. Open ChicagoHAI/OpenAIReview and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What OpenAIReview does

AI reviewing paper drafts for improvement.

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README

OpenAIReview

[![PyPI version](https://img.shields.io/pypi/v/openaireview.svg)](https://pypi.org/project/openaireview/)

Our goal is provide thorough and detailed reviews to help researchers conduct the best research. See more examples [here](https://openaireview.github.io/).

![Example](assets/example.png)

Installation

uv venv && uv pip install openaireview
# or: pip install openaireview

For fast PDF processing (requires `MISTRAL_API_KEY`):

uv pip install "openaireview[mistral]"

For development:

git clone https://github.com/ChicagoHAI/OpenAIReview.git
cd OpenAIReview
uv venv && uv pip install -e .
# or: pip install -e .

Updates

--max-pages and --max-tokens to limit input size and save OCR cost
Mistral OCR and DeepSeek OCR as optional PDF engines (pip install "openaireview[mistral]")
openaireview extract subcommand for two-stage OCR + review workflow
Multi-provider routing: OpenRouter, OpenAI, Anthropic, Gemini, Mistral (--provider)
Table and figure extraction from arXiv HTML (tables as markdown)
pymupdf4llm + GNN layout as default PDF fallback (replaces raw PyMuPDF)
Mobile-responsive visualization UI
Collapsible resolved comments in viz
Claude Code skill (/openaireview) with multi-agent pipeline

PDF parsing engines (optional)

PDF extraction quality matters — math symbols, tables, and reading order all affect review quality. Four engines are supported, tried in order:

Engine	Install	Best for	Notes
Mistral OCR	`pip install "openaireview[mistral]"` + set `MISTRAL_API_KEY`	Best overall quality, math, tables	Cloud API, ~$0.001/page
DeepSeek OCR	`pip install "openaireview[deepseek]"` + local backend	Privacy-sensitive docs	Local model via Ollama/vLLM
Marker	`uv tool install marker-pdf --with psutil`	Math-heavy PDFs (offline)	Slow without GPU
pymupdf4llm	(included)	Fallback, always avail