autoresearchclaw-autonomous-research
autoresearchclaw-autonomous-research — an installable skill for AI agents.
By reason-machines · 1,560 installs
npx skills add reason-machines/trending-skills --skill autoresearchclaw-autonomous-research
Source repository · Upstream listing
AutoResearchClaw — Autonomous Research Pipeline
Skill by [ara.so](https://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
Requirements: Python 3.11+
Configuration
Minimum config ( config.arc.yaml )
OpenRouter config (200+ models)
ACP (Agent Client Protocol) — no API key needed
The agent CLI (e.g. claude ) handles its own authentication.
OpenClaw bridge (optional advanced capabilities)
Key CLI Commands
Gate stages (5, 9, 20) pause for human approval in interactive mode. Pass auto approve to skip all gates.
Python API
Output Structure
After a run, all outputs land in artifacts/rc YYYYMMDD HHMMSS <hash / :
Pipeline Stages Reference
Phase Stage Name Notes
A 1 TOPIC INIT Parse and scope research topic
A 2 PROBLEM DECOMPOSE Break into sub problems
B 3 SEARCH STRATEGY Build search queries
B 4 LITERATURE COLLECT Real API calls to arXiv + Semantic Scholar
B 5 LITERATURE SCREEN Gate — approve/reject literature
B 6 KNOWLEDGE EXTRACT Extract structured knowledge
C 7 SYNTHESIS Synthesize findings
C 8 HYPOTHESIS GEN Multi agent debate to form hypotheses
D 9 EXPERIMENT DESIGN Gate — approve/reject design
D 10 CODE GENERATION Generate experiment code
D 11 RESOURCE PLANNING GPU/MPS/CPU auto detection
E 12 EXPERIMENT RUN Sandboxed execution
E 13 ITERATIVE REFINE Self healing on failure
F 14 RESULT ANALYSIS Multi agent analysis
F 15 RESEARCH DECISION PROCEED / REFINE / PIVOT
G 16 PAPER OUTLINE Structure paper
G 17 PAPER DRAFT Write full paper
G 18 PEER REVIEW Evidence consistency check
G 19 PAPER REVISION Incorporate review feedback
H 20 QUALITY GATE Gate — final approval
H 21 KNOWLEDGE ARCHIVE Save lessons to KB
H 22 EXPORT PUBLISH Emit LaTeX + BibTeX
H 23 CITATION VERIFY 4 layer anti hallucination check
Common Patterns
Pattern: Quick paper on a topic
Pattern: Reproducible run with full config
Pattern: Use Claude via OpenRouter for best reasoning
Pattern: Resume after a failed run
Pattern: Programmatic batch research
Pattern: OpenClaw one liner (if using OpenClaw agent)
OpenClaw auto reads RESEARCHCLAW AGENTS.md , clones, installs, configures, and runs the full pipeline.
Compile the LaTeX Output
Troubleshooting
researchclaw: command not found
API key errors
Experiment sandbox failures
The pipeline self heals at Stage 13 (ITERATIVE REFINE). If it keeps failing:
Citation hallucination warnings
Stage 23 (CITATION VERIFY) runs a 4 layer check. If references are pruned:
This is expected behaviour — fake citations are removed automatically
Check verification report.json for details on which citations were rejected and why
PIVOT loop running indefinitely
Stage 15 (RESEARCH DECISION) may pivot multiple times. To cap iterations:
LaTeX compilation errors
Out of memory during experiments
Key Concepts
PIVOT/REFINE Loop : Stage 15 autonomously decides PROCEED, REFINE (tweak params), or PIVOT (new hypothesis direction). All artifacts are versioned.
Multi Agent Debate : Stages 8, 14, 18 use structured multi perspective debate — not a single LLM pass.
Self Learning : Each run extracts lessons with 30 day time decay. Future runs on similar topics benefit from past mistakes.
Sentinel Watchdog : Background monitor detects NaN/Inf in results, checks paper evidence consistency, scores citation relevance, and guards against fabrication throughout the run.
4 Layer Citation Verification : arXiv lookup → CrossRef lookup → DataCite lookup → LLM relevance scoring. A citation must pass all layers to survive.