Autoresearchclaw Autonomous Research

This is a complete autonomous research system that takes a topic string and outputs a conference-ready LaTeX paper with real citations from arXiv and Semantic Scholar. It runs a 23-stage pipeline including literature review, multi-agent hypothesis formation, sandboxed Python experiments with auto-healing, peer review simulation, and a four-layer citation verification pass to prevent hallucinations. You can run it fully hands-off with auto-approve or pause at three gate stages to review literature, experimental design, and final quality. The output directory includes the paper in both Markdown and LaTeX, a pruned BibTeX file, experimental code and results, and a knowledge base for cross-run learning. Works with OpenAI, OpenRouter, or Agent Client Protocol.

skills.sh installs: 1.5K
GitHub stars: 61
last updated: Jul 14, 2026

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Install

$ npx -y skills add aradotso/trending-skills --skill autoresearchclaw-autonomous-research --agent claude-code

Installs into .claude/skills of the current project.

Files

AutoResearchClaw — Autonomous Research Pipeline

Skill by ara.so — Daily 2026 Skills collection.

AutoResearchClaw is a fully autonomous 23-stage research pipeline that takes a natural language topic and produces a complete academic paper: real arXiv/Semantic Scholar citations, sandboxed experiments, statistical analysis, multi-agent peer review, and conference-ready LaTeX (NeurIPS/ICML/ICLR). No hallucinated references. No human babysitting.

Installation

# Clone and install
git clone https://github.com/aiming-lab/AutoResearchClaw.git
cd AutoResearchClaw
python3 -m venv .venv && source .venv/bin/activate
pip install -e .

# Verify CLI is available
researchclaw --help

Requirements: Python 3.11+

Configuration

cp config.researchclaw.example.yaml config.arc.yaml

Minimum config (`config.arc.yaml`)

project:
  name: "my-research"

research:
  topic: "Your research topic here"

llm:
  provider: "openai"
  base_url: "https://api.openai.com/v1"
  api_key_env: "OPENAI_API_KEY"
  primary_model: "gpt-4o"
  fallback_models: ["gpt-4o-mini"]

SKILL.md on GitHub