An advanced financial analysis engine that generates interactive, 14-module HTML evaluation reports on corporate value, competitive moats, and absolute DCF valuation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install my-skill-hub
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 my-skill-hub 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 Advanced Corporate Value & Investment Analyzer?
The Advanced Corporate Value Analyzer is an industry-grade investment research skill designed to help AI agents perform deep-dive financial analysis. Grounded in the principles of value investing, this tool systematically dissects a company's financial health, competitive moat, business structure, and management quality. By leveraging this tool among your Openclaw Skills, developers and financial analysts can automate the generation of institutional-grade valuation reports complete with interactive charts and dynamic visualizations.
Unlike simple financial scrapers, this skill evaluates qualitative elements like Morningstar-style moat ratings, capital allocation history, and management integrity while computing complex quantitative metrics like multi-stage Discounted Cash Flow (DCF), residual income models, and multi-scenario probability matrixes. It ensures data freshness by automatically pulling the latest quarterly and annual data relative to the analysis date, ensuring high-fidelity investment research.
Advanced Corporate Value & Investment Analyzer Use Cases
- Automating comprehensive equity research reports for portfolio management and investment committees.
- Evaluating competitive moats dynamically and comparing target companies against at least three industry peers.
- Calculating intrinsic value using multi-stage DCF models with built-in sensitivity and scenario analysis.
- Screening potential investment targets for value traps, including unsustainable high dividend yields or declining terminal industries.
- Assessing corporate governance, historical capital allocation decisions, and management's alignment with shareholder returns.
How Advanced Corporate Value & Investment Analyzer Works
- Filings Retrieval & Temporal Baseline: The skill reads the target company ticker and dynamically determines the temporal data baseline based on the current date, fetching the last 5 to 10 fiscal years of financial reports along with the latest quarterly filing.
- Qualitative Moat & Business Assessment: It analyzes segment revenues, assesses competitive dynamics using Porter's Five Forces, and determines moat sustainability to issue a Morningstar-style rating ("Wide", "Narrow", or "None").
- Financial Trend & Style Auditing: The system compiles balance sheet, income statement, and cash flow data, checking for accounting anomalies, high-cash-high-debt indicators, and historical audit exceptions.
- Governance & Capital Allocation Audit: Evaluates historical free cash flow distribution trends, examining mergers and acquisitions, buybacks, and dividend payout sustainability.
- Quantitative Valuation Modelling: Operates multi-stage DCF and residual income models, running sensitivity analyses on critical assumptions (such as WACC, terminal growth, and revenue growth margins).
- Interactive HTML Report Synthesis: Generates a self-contained, beautifully styled HTML output incorporating interactive data tables, rating cards, risk matrices, and responsive Chart.js visual graphics.
Advanced Corporate Value & Investment Analyzer Setup
To deploy this skill within your AI workflow, install the required core packages via pip:
pip install openclaw-sdk pandas numpy chart-renderer
Next, register the analyzer within your custom configuration of Openclaw Skills:
{
"skill": "corporate_value_analyzer",
"params": {
"peer_count_min": 3,
"financial_history_years": 5,
"valuation_models": ["dcf", "residual_income", "relative"],
"output_format": "html"
}
}
Advanced Corporate Value & Investment Analyzer Data Schema & Taxonomy
The Corporate Value Analyzer processes public financial filings and returns a clean, structured output package containing interactive reports and raw structural data:
| Generated File | Format | Description |
|---|---|---|
analysis_report.html |
HTML | Interactive, responsive dashboard combining all 14 analysis modules with interactive charts. |
valuation_metrics.json |
JSON | Computed financial datasets, including multi-stage DCF metrics and sensitivity table rows. |
audit_warnings.json |
JSON | Flags highlighting financial style inconsistencies, low PE/PB value trap warnings, and governance risks. |
Metadata Taxonomy
company_ticker: String (e.g.,"AAPL")analysis_baseline_date: Date String (ISO 8601 format)peer_group: Array of Strings containing at least 3 comparable tickersmoat_rating: Enum value ("Wide","Narrow", or"None")intrinsic_value_expectation: Float representing computed intrinsic value under base-case probability
Advanced Corporate Value & Investment Analyzer Advanced Features
- Dynamic WACC & DCF Sensitivity Modelling: Allows real-time adjustments to WACC, terminal growth rates, and cash flow growth steps with immediate impact recalculation.
- Systemic Value Trap Scanners: Automates checkups for distressed assets, deteriorating terminal growth, and balance sheet cash-to-liability abnormalities.
- Multi-Scenario Probability Engine: Integrates optimistic, baseline, and pessimistic scenarios with custom probability weights to determine mathematical expected values.
- Historical Decade Back-Tracing: Incorporates optional 10-year market cycle retracing to analyze strategic pivots and macro-economic inflection resilience.
- Corporate Governance Alignment Index: Computes management alignment indicators based on historical insider trading behaviors, buyback timing correctness, and compensation structures.
- Comprehensive ESG Compliance Auditing: Reviews supply-chain vulnerabilities, employee relations indexes, and carbon impact indicators to highlight modern non-financial risk vectors.
SKILL.md
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