Due Diligence Analyst
AI-powered due diligence analysis tool that automates comprehensive DD across financial, legal, business, and team dimensions for investment decisions.
Overview
Due Diligence Analyst is an intelligent OpenClaw skill designed for investors, M&A advisors, and corporate development teams. It automates the entire due diligence process, providing multi-dimensional analysis including financial health, legal compliance, business operations, team background, market position, and risk assessment.
Generate professional DD reports in minutes instead of weeks.
Core Features
1. Company Profile Analysis
Analyze target companies and extract key information:
- - Corporate information verification
- Shareholder structure mapping
- Related party identification
- Historical change tracking
- Initial risk assessment
Usage: "Analyze company: ByteDance" or "分析公司:字节跳动"
2. Quick Due Diligence Report
Generate rapid due diligence reports:
- - Executive summary with rating
- Company overview
- Key findings (strengths, concerns, critical issues)
- Quick risk assessment
- Next steps recommendations
Usage: "Quick DD: Tencent" or "快速尽调:腾讯"
3. General Consultation
AI-powered consultation on due diligence topics:
- - DD process and methodology
- Risk identification techniques
- Industry best practices
- Valuation approaches
- Investment decision support
Usage: "What is due diligence?" or "How to assess a company's financial health?"
Planned Features (v0.2.0+)
- - Financial Due Diligence (statements analysis, metrics calculation)
- Legal & Compliance Checks (litigation search, IP verification)
- Business Analysis (business model, competitive landscape)
- Team Background Checks (founder verification, work history)
- Market & Industry Analysis (trends, sizing, competitors)
- Risk Assessment Matrix (multi-dimensional risk scoring)
- Professional Report Export (PDF, Word, Excel, PowerPoint)
Usage Examples
Example 1: Company Analysis
User: "Analyze company: Xiaomi"
System: Generates comprehensive company profile including:
- - Basic information (founding date, industry, status)
- Shareholder structure and ownership
- Related parties and affiliates
- Historical changes and funding rounds
- Key risk indicators
Example 2: Quick Due Diligence
User: "Quick DD: Meituan"
System: Generates quick DD report with:
- - Executive summary (rating: B+, recommendation: proceed with caution)
- Company overview
- Quick risk assessment (financial, legal, operational)
- Key findings and red flags
- Next steps for deeper investigation
Example 3: Consultation
User: "What should I focus on in financial due diligence?"
System: Provides expert guidance on:
- - Key financial metrics to review
- Common red flags to watch for
- Best practices for financial analysis
- Industry-specific considerations
How It Works
- 1. Intent Recognition: Automatically identifies the type of analysis needed
- Multi-Agent Processing: Routes to specialized agents (Company, Financial, Legal, etc.)
- AI Analysis: Uses Claude to analyze information and generate insights
- Professional Output: Returns structured, formatted reports
Data Sources
Current Version (MVP):
- - AI reasoning and analysis using Claude
- Public knowledge base
- User-provided information
Future Versions:
- - Enterprise database integration (Qichacha, Tianyancha APIs)
- Financial data services
- Legal information databases
- News and sentiment monitoring
Important Notes
Disclaimers
- - This tool provides analysis based on AI reasoning and public information
- Results are for reference only and do not constitute professional investment advice
- Critical information should be verified through official channels
- Actual due diligence should include on-site visits and professional expertise
Data Accuracy
- - Current version does not have real-time enterprise database access
- Information may not be complete or up-to-date
- Users should verify key facts through:
- Qichacha / Tianyancha (Enterprise info)
- National Enterprise Credit Information System
- Official company disclosures
- Professional DD firms
Best Use Cases
- - ✅ Initial screening of investment targets
- ✅ Preliminary risk assessment
- ✅ Learning DD methodology
- ✅ Generating DD checklists
- ⚠️ Not a replacement for professional DD services
- ⚠️ Should be combined with manual verification
Technical Details
- - Runtime: Node.js >= 22
- Language: TypeScript 5.3+
- Platform: OpenClaw 2026+
- AI: Claude (via OpenClaw)
- Architecture: Multi-agent system with specialized analyzers
Version
Current: 0.1.0 (MVP)
- - ✅ Company profile analysis
- ✅ Quick DD report generation
- ✅ AI consultation support
Coming Soon:
- - v0.2.0: Financial DD, Legal checks, PDF export
- v0.3.0: Business analysis, Team background, Market research
- v0.4.0: Real data source integration, Continuous monitoring
- v1.0.0: Complete 8-module system, Production-ready
License
MIT License - Open source and free to use
Support
- - Documentation: README.md and docs/ folder
- Issues: Report bugs and request features on GitHub
- Community: OpenClaw Discord server
Transform the way due diligence is done - AI-powered, efficient, professional.
尽职调查分析师
AI驱动的尽职调查分析工具,可自动完成财务、法律、业务和团队维度的全面尽职调查,为投资决策提供支持。
概述
尽职调查分析师是一款专为投资者、并购顾问和企业发展团队设计的智能OpenClaw技能。它自动化了整个尽职调查流程,提供包括财务健康度、法律合规性、业务运营、团队背景、市场地位和风险评估在内的多维度分析。
数分钟内生成专业尽职调查报告,而非数周。
核心功能
1. 公司概况分析
分析目标公司并提取关键信息:
- - 企业信息验证
- 股东结构梳理
- 关联方识别
- 历史变更追踪
- 初步风险评估
用法:Analyze company: ByteDance 或 分析公司:字节跳动
2. 快速尽职调查报告
生成快速尽职调查报告:
- - 执行摘要及评级
- 公司概览
- 关键发现(优势、关注点、重大问题)
- 快速风险评估
- 后续步骤建议
用法:Quick DD: Tencent 或 快速尽调:腾讯
3. 通用咨询
AI驱动的尽职调查主题咨询:
- - 尽职调查流程与方法论
- 风险识别技巧
- 行业最佳实践
- 估值方法
- 投资决策支持
用法:What is due diligence? 或 How to assess a companys financial health?
计划功能(v0.2.0+)
- - 财务尽职调查(报表分析、指标计算)
- 法律与合规检查(诉讼检索、知识产权验证)
- 业务分析(商业模式、竞争格局)
- 团队背景调查(创始人验证、工作经历)
- 市场与行业分析(趋势、规模、竞争对手)
- 风险评估矩阵(多维度风险评分)
- 专业报告导出(PDF、Word、Excel、PowerPoint)
使用示例
示例1:公司分析
用户:Analyze company: Xiaomi
系统:生成全面的公司概况,包括:
- - 基本信息(成立日期、行业、状态)
- 股东结构与所有权
- 关联方与附属公司
- 历史变更与融资轮次
- 关键风险指标
示例2:快速尽职调查
用户:Quick DD: Meituan
系统:生成快速尽职调查报告,包含:
- - 执行摘要(评级:B+,建议:谨慎推进)
- 公司概览
- 快速风险评估(财务、法律、运营)
- 关键发现与警示信号
- 深入调查的后续步骤
示例3:咨询
用户:What should I focus on in financial due diligence?
系统:提供专家指导:
- - 需审查的关键财务指标
- 需关注的常见警示信号
- 财务分析的最佳实践
- 行业特定考量
工作原理
- 1. 意图识别:自动识别所需的分析类型
- 多智能体处理:路由至专业智能体(公司、财务、法律等)
- AI分析:使用Claude分析信息并生成洞察
- 专业输出:返回结构化、格式化的报告
数据来源
当前版本(MVP):
- - 使用Claude进行AI推理与分析
- 公共知识库
- 用户提供的信息
未来版本:
- - 企业数据库集成(企查查、天眼查API)
- 财务数据服务
- 法律信息数据库
- 新闻与舆情监控
重要说明
免责声明
- - 本工具基于AI推理和公开信息提供分析
- 结果仅供参考,不构成专业投资建议
- 关键信息应通过官方渠道核实
- 实际尽职调查应包括实地考察和专业判断
数据准确性
- - 当前版本不具备实时企业数据库访问权限
- 信息可能不完整或非最新
- 用户应通过以下方式核实关键事实:
- 企查查/天眼查(企业信息)
- 国家企业信用信息公示系统
- 官方公司披露
- 专业尽职调查机构
最佳使用场景
- - ✅ 投资标的初步筛选
- ✅ 初步风险评估
- ✅ 学习尽职调查方法论
- ✅ 生成尽职调查清单
- ⚠️ 不能替代专业尽职调查服务
- ⚠️ 应与人工核实相结合
技术细节
- - 运行环境:Node.js >= 22
- 语言:TypeScript 5.3+
- 平台:OpenClaw 2026+
- AI:Claude(通过OpenClaw)
- 架构:多智能体系统,配备专业分析器
版本
当前版本:0.1.0(MVP)
- - ✅ 公司概况分析
- ✅ 快速尽职调查报告生成
- ✅ AI咨询支持
即将推出:
- - v0.2.0:财务尽职调查、法律检查、PDF导出
- v0.3.0:业务分析、团队背景、市场调研
- v0.4.0:真实数据源集成、持续监控
- v1.0.0:完整8模块系统,生产就绪
许可证
MIT许可证 - 开源免费使用
支持
- - 文档:README.md 和 docs/ 文件夹
- 问题反馈:在GitHub上报告错误和请求功能
- 社区:OpenClaw Discord服务器
改变尽职调查的方式——AI驱动、高效、专业。