autoresearchclaw-autonomous-research

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. Requirements: Python 3.11+ The agent CLI (e.g. claude ) handles its own authentication. Gate stages (5, 9, 20) pause for human approval in interactive mode. Pass --auto-approve to skip all gates. After a run, all outputs land in artifacts/rc-YYYYMMDD-HHMMSS- / : OpenClaw auto-reads RESEARCHCLAW_AGENTS.md , clones, installs, configures, and runs the full pipeline.