A professional framework for evaluating digital asset health, supply mechanics, and regulatory risks to guide corporate token strategy.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install afrexai-tokenomics
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install afrexai-tokenomics using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Token Economics Analyzer is a technical skill designed to provide deep due diligence for businesses interacting with digital assets. It moves beyond speculation by applying a rigorous quantitative framework to evaluate utility tokens, governance tokens, and loyalty points. By utilizing this resource within the Openclaw Skills ecosystem, developers and decision-makers can identify systemic risks in token supply, assess the fairness of distribution, and determine the long-term viability of a protocol's economic model.
This skill is essential for organizations looking to integrate tokenized assets into their tech stack or treasury. It provides a structured approach to scoring token health from 0 to 100, ensuring that every partnership or product launch is backed by sound economic theory and regulatory awareness. Whether you are assessing a vendor's token-based pricing or designing your own ecosystem, this tool provides the analytical depth required for modern fintech operations.
To deploy the analysis environment for this skill, follow these steps:
# Initialize the Openclaw Skills environment
git clone https://github.com/openclaw-skills/token-economics-analyzer.git
cd token-economics-analyzer
# Install required analysis dependencies
npm install
# Configure your assessment parameters
cp config.example.json config.json
The skill organizes economic data into a structured hierarchy for clear reporting:
| Dimension | Metrics Tracked | Scoring Weight |
|---|---|---|
| Supply Mechanics | Inflation, Burn, Vesting, Circulating Ratio | 20% |
| Demand Drivers | Use Cases, Revenue Correlation, Network Effect | 20% |
| Distribution | Insider Allocation, Wallet Concentration, Lockups | 20% |
| Governance | Voting Fairness, Treasury Transparency, Exit Rights | 20% |
| Regulatory | Howey Test, Jurisdiction, KYC/AML Compliance | 20% |
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