Due Diligence Analyst

AI-Powered Due Diligence Analysis - Automated comprehensive DD across financial, legal, business, and team dimensions for investment decisions

Security Scan

The skill's code, documentation, and runtime instructions are coherent with a due-diligence reporting assistant and do not request unrelated credentials or install arbitrary remote code.

Purpose & Capability

Name/description (due diligence analyst) align with the code and SKILL.md: agents for company analysis and report generation, LLM-driven outputs, and planned integrations. Declared dependencies (zod, date-fns) and Node runtime are reasonable for this functionality.

Instruction Scope

Runtime instructions and code consistently use the provided LLM (context.llm.chat/Claude) and public/user-provided data to produce analysis. Note: using the LLM means user queries and supplied company data are sent to the LLM provider—avoid submitting confidential/PII unless you accept that provider's data handling. SKILL.md and code do not attempt to read local config files or unrelated system paths.

Install Mechanism

No install spec is provided (instruction-only deployment on platform), so nothing is automatically downloaded or executed. The published package contains dist JS files and a package.json; package.json defines a 'setup' script (bash scripts/setup-due-diligence.sh) but the repository manifest here lacks that scripts file. This is a cautionary note for anyone cloning and running npm scripts locally—inspect any setup script before running it.

Credentials

The skill declares no required environment variables, no primary credential, and no config paths. That is proportional to its current LLM-based, public-data-only MVP design. Future planned integrations (Qichacha/Tianyancha, financial/legal DBs) would legitimately require API keys—expect future versions to request those.

Persistence & Privilege

Flags show always:false and normal autonomous invocation allowed. The skill does not request permanent system-wide privileges or attempt to modify other skills or agent configs in the provided code.

Assessment

This skill appears internally consistent for an LLM-driven due-diligence helper, but keep these practical precautions: 1) Do not submit confidential or sensitive company documents/personally-identifiable data—user inputs and prompts are sent to the LLM provider (Claude) and may be logged according to that provider's policy. 2) If you clone and build locally, inspect any scripts (e.g., scripts/setup-due-diligence.sh referenced in package.json) before running npm/pnpm scripts. 3) Future versions plan to integrate third-party corporate data APIs—those will require API keys and you should only provide those if you trust the skill author and have reviewed access scopes. 4) Remember the outputs are advisory only; verify critical facts via official sources. If you want higher assurance, ask the maintainer for a signed release or audit of the setup script and a clear data-handling/privacy statement for LLM usage.

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
2. Multi-Agent Processing: Routes to specialized agents (Company, Financial, Legal, etc.)
3. AI Analysis: Uses Claude to analyze information and generate insights
4. 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

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Transform the way due diligence is done - AI-powered, efficient, professional.