An AI-powered M&A analyst that automates company valuation and financial statement parsing from public filings and PDFs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawdiligence
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install clawdiligence using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is ClawDiligence?
ClawDiligence is a specialized M&A due diligence agent designed for the Openclaw Skills ecosystem. It serves as a rigorous financial advisor, capable of parsing complex Japanese and international financial filings—such as EDINET or Kanpou reports—to build structured Balance Sheets and Profit & Loss statements. Unlike generic AI, it maintains a cold, objective buyer-side perspective to ensure high-fidelity company valuations.
By leveraging this skill, developers and investment analysts can transform raw PDF documents into actionable acquisition simulations. The skill focuses on technical truth, requiring source citations for every figure and applying strictly defined financial adjustments to identify red flags like excessive officer compensation or hidden liabilities. It is an essential component for anyone building automated financial research workflows using Openclaw Skills.
ClawDiligence Use Cases
- Performing automated due diligence on acquisition targets using public EDINET filings.
- Extracting and structuring B/S and P/L data from financial PDF reports.
- Generating Comparable Company Analysis (Comps) to estimate enterprise value.
- Identifying financial red flags such as opaque assets or high-risk officer loans.
- Exporting structured financial models to Excel for further manual analysis.
How ClawDiligence Works
- Data Acquisition: The agent identifies the target company and fetches public filings via EDINET API or user-uploaded PDFs.
- Text Processing: It utilizes specialized scripts to extract text and numerical data from multi-page financial documents.
- Data Structuring: Financial terms are mapped to a standardized JSON schema, normalizing diverse accounting labels into consistent categories.
- Metric Calculation: The system automatically computes EBITDA, net debt, equity ratios, and other fundamental financial indicators.
- Valuation Modeling: It performs a Comps analysis by identifying similar listed companies and applying PER or EV/EBITDA multiples.
- Risk Adjustment: The AI applies qualitative discounts for illiquidity or governance issues identified during the analysis.
- Report Generation: A final Markdown-formatted report is produced, including a buy/sell signal and specific negotiation advice.
ClawDiligence Setup
To integrate this skill into your workflow, ensure Python 3 is installed. You can install the necessary dependencies using the following commands:
# Install required packages via uv or pip
uv pip install httpx pdfplumber openpyxl
# Or
pip3 install httpx pdfplumber openpyxl
Configure your environment by setting the EDINET_API_KEY if you intend to use automated filing retrieval. The skill scripts are located in ~/.openclaw/skills/clawdiligence.
ClawDiligence Data Schema & Taxonomy
ClawDiligence organizes its findings into a highly structured format to ensure compatibility with other Openclaw Skills. Data is categorized as follows:
| Schema Type | Key Fields |
|---|---|
| Balance Sheet (B/S) | cash_and_deposits, accounts_receivable, inventory, fixed_assets, officer_loans, total_net_assets |
| Profit & Loss (P/L) | revenue, cost_of_sales, gross_profit, sga_expenses, officer_compensation, operating_income |
| Valuation Metrics | EBITDA, Net Debt, ROE, PER Base, EV/EBITDA Base |
| Metadata | source_pdf, source_page, fiscal_date, validation_status |
ClawDiligence Advanced Features
- Automated EDINET API integration for seamless public company data retrieval.
- Intelligent red-flag detection for officer compensation and non-operating expenses.
- Support for non-liquidity discounts (20-30%) specifically for private company valuations.
- Hallucination-free reporting with mandatory [source] tags for every numerical data point.
- One-click Excel export for professional financial reporting and offline editing.
SKILL.md
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