Moat Evaluator for Openclaw

A professional-grade analytical tool designed to identify and quantify long-term structural competitive advantages in businesses.

lj22503
v2.0.0
Mar 19, 2026
0
903
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install moat-evaluator

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install moat-evaluator 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 Moat Evaluator?

Moat Evaluator is a specialized framework within the Openclaw Skills ecosystem dedicated to value investing analysis. It synthesizes the core principles of Warren Buffett's investment philosophy to evaluate the type, strength, and sustainability of a company's economic moat.

By assessing structural factors rather than temporary market trends, the tool provides a rigorous 25-point scoring system across five critical moat dimensions: Brand Power, Network Effects, Switching Costs, Cost Advantages, and Intangible Assets. It is designed for investors and analysts who need to distinguish between fleeting market hype and enduring long-term value.

Moat Evaluator Use Cases

  • Performing deep-dive value investing research to identify high-quality core holdings.
  • Assessing competitive positioning during industry-wide disruption or technological shifts.
  • Evaluating long-term investment risks by tracking whether an enterprise moat is widening or narrowing.
  • Screening companies based on strict Warren Buffett-style structural criteria.

How Moat Evaluator Works

  1. Input Data Processing: The user provides detailed company data, including business models, industry context, and key competitors.
  2. Moat Type Identification: The skill scans the input for evidence of five specific moat types: brand, network, switching, scale, or legal franchise.
  3. Strength Quantification: Each identified moat is assigned a strength score from 1 to 5 based on verifiable evidence such as pricing power or customer retention.
  4. Trend Analysis: The tool compares current metrics (ROE, Gross Margin, Market Share) against 3-year historical data to determine the moat trajectory.
  5. Scoring & Advice Generation: A final score out of 25 is calculated, resulting in a tiered investment recommendation ranging from Strong Buy to Avoid.

Moat Evaluator Setup

To integrate Moat Evaluator with your AI agent, ensure you have the Openclaw Skills environment configured. Install the skill using the following command:

# Install the Moat Evaluator skill
openclaw install moat-evaluator

# Verify installation and check dependencies
openclaw verify --skill moat-evaluator

Configure your environment variables if you are connecting to external financial data providers for automated metric retrieval.

Moat Evaluator Data Schema & Taxonomy

The skill utilizes a structured JSON schema for inputs and outputs to ensure compatibility across Openclaw Skills.

Field Type Description
company_name String Legal name of the entity
business_description String Summary of the business model
pricing_power Enum Assessment of price elasticity (Yes/No/Unsure)
moat_types Array List of identified advantages with evidence and strength scores
total_score Integer Normalized score out of 25
trend String Directional indicator (Widening, Stable, Narrowing)

Moat Evaluator Advanced Features

  • Multi-Dimensional Scoring: A granular 25-point matrix that prevents mechanical over-scoring by evaluating synergistic effects.
  • Trend Tracking: Integrated comparison logic to detect if a competitive advantage is increasing or decreasing over a 10-year outlook.
  • Risk Mitigation Engine: Specific logic to filter out short-term marketing success from long-term structural moats.
  • Synergy Analysis: Ability to evaluate how multiple moat types (e.g., Brand + Network Effects) interact to create an impenetrable barrier.

SKILL.md


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