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    "article": "\n# aiming-lab/AutoResearchClaw\n\n**Repository**: https://github.com/aiming-lab/AutoResearchClaw  \n**Stars**: 11,057 ⭐  \n**License**: MIT  \n**Language**: Python  \n**Archetype**: Autonomous Research Pipeline  \n**Processing Date**: 2026-04-13\n\n## Overview\n\nAutoResearchClaw is a fully autonomous 23-stage research pipeline that transforms a single research idea into a conference-ready paper with no human intervention required. It represents one of the most comprehensive end-to-end automated research systems, integrating literature review, experiment design, execution, analysis, and paper writing.\n\n## Repository Structure\n\n```\nAutoResearchClaw/\n├── .claude/                 # Claude Code integration\n├── researchclaw/           # Core pipeline implementation\n├── docs/                   # Documentation and guides\n│   ├── HITL_GUIDE.md      # Human-in-the-Loop guide\n│   ├── showcase/          # Generated paper examples\n│   └── integration-guide.md\n├── scripts/               # Setup and utility scripts\n├── prompts.default.yaml   # LLM prompts for all stages\n└── config.researchclaw.example.yaml # Configuration template\n```\n\n## 23-Stage Research Pipeline\n\n### Literature & Foundation (Stages 1-6)\n1. **Idea Refinement** - Topic clarification and scope definition\n2. **Literature Search** - OpenAlex, Semantic Scholar, arXiv integration\n3. **Literature Analysis** - Citation analysis and gap identification\n4. **Research Question Formation** - Hypothesis generation\n5. **Methodology Design** - Experimental approach planning\n6. **Related Work Synthesis** - Background section creation\n\n### Experimentation & Development (Stages 7-13)\n7. **Environment Setup** - Hardware-aware sandbox configuration\n8. **Code Generation** - Implementation with external CLI agent delegation\n9. **Experiment Design** - Statistical methodology planning\n10. **Data Collection** - Automated data gathering\n11. **Experiment Execution** - GPU/MPS/CPU auto-detection\n12. **Results Analysis** - Statistical validation\n13. **Visualization** - Figure and chart generation\n\n### Quality & Validation (Stages 14-19)\n14. **Multi-Agent Peer Review** - CodeAgent, BenchmarkAgent, FigureAgent\n15. **4-Round Quality Audit** - AI-slop detection, 7-dimension scoring\n16. **NeurIPS Checklist Validation** - Conference standard compliance\n17. **Citation Verification** - Anti-fabrication system\n18. **Claim Validation** - Anti-hallucination verification\n19. **Reproducibility Check** - Code and data validation\n\n### Paper Production (Stages 20-23)\n20. **Draft Generation** - Section-by-section writing\n21. **LaTeX Compilation** - Conference-ready formatting\n22. **Final Review** - Human-AI collaborative editing\n23. **Submission Package** - Complete paper with supplements\n\n## Key Features & Innovations\n\n### Human-in-the-Loop (HITL) System\n- **6 Intervention Modes**: full-auto, gate-only, checkpoint, step-by-step, co-pilot, custom\n- **SmartPause**: Confidence-driven dynamic intervention\n- **Idea Workshop**: Hypothesis co-creation\n- **Baseline Navigator**: Experiment design review\n- **Paper Co-Writer**: Collaborative drafting\n- **ALHF**: Intervention learning from human feedback\n\n### Multi-Agent Architecture\n- **CodeAgent**: Code generation and validation\n- **BenchmarkAgent**: Performance evaluation\n- **FigureAgent**: Visualization creation\n- **Multi-agent debate**: Consensus building across agents\n\n### Quality Assurance\n- **Anti-fabrication system**: VerifiedRegistry + diagnosis loop\n- **Citation verification**: Real literature from academic databases\n- **7-dimension review scoring**: Comprehensive quality metrics\n- **AI-slop detection**: Academic writing quality control\n\n### Cross-Platform Integration\n- **ACP-compatible backends**: Claude Code, Codex CLI, Copilot CLI, Gemini CLI, Kimi CLI\n- **OpenClaw bridge**: Discord, Telegram, Lark, WeChat support\n- **Beast Mode**: Complex code generation routing to OpenCode\n- **MetaClaw integration**: Cross-run learning and skill accumulation\n\n## Skills System (19+ Skills)\n\nPre-loaded skills covering:\n- Scientific writing methodologies\n- Experiment design patterns\n- Chemistry and biology domain knowledge\n- Statistical analysis techniques\n- A-Evolve agentic evolution (community contributed)\n\nCustom skills via:\n```bash\nresearchclaw skills install\n# or drop SKILL.md into .claude/skills/\n```\n\n## Extractable Processes\n\n### Research Orchestration Patterns\n1. **23-stage pipeline architecture** - Complete research lifecycle\n2. **Multi-agent consensus building** - Collaborative validation\n3. **Human-AI intervention points** - Strategic collaboration patterns\n4. **Dynamic confidence assessment** - Automated quality gating\n\n### Quality Assurance Frameworks\n1. **Multi-layer validation** - Technical, academic, and reproducibility checks\n2. **Citation verification pipelines** - Anti-fabrication safeguards\n3. **7-dimension quality scoring** - Comprehensive evaluation metrics\n4. **Conference compliance checking** - Automated standard validation\n\n### Literature Integration Methods\n1. **Multi-source literature aggregation** - OpenAlex, Semantic Scholar, arXiv\n2. **Citation analysis workflows** - Gap identification and positioning\n3. **Related work synthesis** - Automated background generation\n4. **Real-time verification** - Anti-hallucination for references\n\n### Experiment Automation\n1. **Hardware-aware execution** - GPU/MPS/CPU auto-detection\n2. **Sandbox environment management** - Isolated experiment execution\n3. **Statistical validation pipelines** - Automated analysis workflows\n4. **Reproducibility frameworks** - Code and data validation\n\n## Technology Stack\n\n- **Python 3.11+** with modern async/await patterns\n- **Docker sandbox** with network-policy-aware execution\n- **OpenAlex, Semantic Scholar, arXiv** for literature\n- **LaTeX compilation** for paper generation\n- **Multi-LLM support** with provider abstraction\n- **CLI agent integration** for complex code generation\n\n## Value for Babysitter Marketplace\n\n**Very High Value** - This repository contains one of the most sophisticated automated research pipelines available, with extensive orchestration patterns for:\n- Multi-stage workflow coordination\n- Human-AI collaboration frameworks\n- Quality assurance and validation systems\n- Literature integration and verification\n- Academic standard compliance\n\n### Key Extractable Elements\n- 23-stage pipeline orchestration patterns\n- Multi-agent consensus building mechanisms\n- Human-in-the-loop intervention strategies\n- Quality evaluation and validation frameworks\n- Literature integration and citation verification\n- Academic writing and compliance automation\n\n## Classification\n\n**Category**: Autonomous Research System  \n**Subcategory**: Academic Paper Generation Pipeline  \n**Complexity**: Research-grade  \n**Maturity**: Production-ready (v0.4.0)  \n**Adoption**: High (11K+ stars, active development)\n\n## Ethical Considerations\n\nThe repository includes comprehensive ethics guidelines covering:\n- Academic integrity requirements\n- Transparency in AI assistance\n- Citation verification obligations\n- Misuse prevention measures\n- Human review requirements\n\n## Research Notes\n\nThis repository represents a significant advancement in automated research methodology, demonstrating:\n- End-to-end academic workflow automation\n- Sophisticated multi-agent coordination\n- Real-world quality assurance mechanisms\n- Human-AI collaborative patterns\n- Academic standard compliance automation\n\nThe 23-stage pipeline architecture and quality validation systems provide substantial value for complex workflow orchestration in babysitter processes.\n\n## Library Mapping\n\n| Extractable Process | Library Status | Action | Existing Path | Target Placement |\n|-------------------|----------------|--------|---------------|------------------|\n| 23-Stage Research Pipeline | NEW | Complete autonomous research lifecycle from idea to conference-ready paper | - | specializations/academic-research/autonomous-research-pipeline.js |\n| Multi-Agent Consensus Building | UPGRADE | Collaborative validation with CodeAgent, BenchmarkAgent, FigureAgent patterns | library/specializations/ai-agents-conversational/ | specializations/shared/multi-agent-consensus-building.js |\n| Human-in-the-Loop Intervention System | NEW | 6 intervention modes with confidence-driven dynamic intervention | - | specializations/shared/human-in-loop-intervention-system.js |\n| Quality Assurance Framework | NEW | 7-dimension scoring with AI-slop detection and conference compliance | - | specializations/academic-research/research-quality-assurance.js |\n| Citation Verification Pipeline | NEW | Anti-fabrication system with real literature validation | - | specializations/academic-research/citation-verification-pipeline.js |\n| Literature Integration Workflow | NEW | Multi-source aggregation from OpenAlex, Semantic Scholar, arXiv | - | specializations/academic-research/literature-integration-workflow.js |\n| Experiment Automation Framework | NEW | Hardware-aware execution with statistical validation and reproducibility | - | specializations/academic-research/experiment-automation-framework.js |\n| Academic Paper Generation | NEW | LaTeX compilation with section-by-section writing and formatting | - | specializations/academic-research/academic-paper-generation.js |\n| Reproducibility Validation | NEW | Code and data validation for research reproducibility standards | - | specializations/academic-research/reproducibility-validation.js |\n| Statistical Analysis Automation | NEW | Automated statistical validation and analysis workflows | - | specializations/data-science-ml/statistical-analysis-automation.js |\n| Anti-Hallucination Verification | NEW | Claim validation and anti-fabrication safeguards | - | specializations/shared/anti-hallucination-verification.js |\n| Conference Standard Compliance | NEW | NeurIPS checklist validation and academic standard checking | - | specializations/academic-research/conference-standard-compliance.js |\n\n## Plugin Marketplace Mapping\n\n| Plugin Idea | Marketplace Status | Action | Existing Plugin | Target Placement |\n|-------------|-------------------|--------|-----------------|------------------|\n| OpenAlex API Integration | NEW | Academic literature search and citation data via OpenAlex API | - | plugins/a5c/marketplace/blueprints/openalex-api-integration/ |\n| Semantic Scholar Integration | NEW | Research paper discovery and analysis via Semantic Scholar API | - | plugins/a5c/marketplace/blueprints/semantic-scholar-integration/ |\n| ArXiv Integration | NEW | Preprint repository access and paper retrieval via arXiv API | - | plugins/a5c/marketplace/blueprints/arxiv-integration/ |\n",
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