Token System Implementation - skenai/WILL GitHub Wiki

version: 2.0.0 date: 2025-03-04 type: system-doc status: public tags: [william, token, system, implementation] related: [] changelog:

  • version: 2.0.0 date: 2025-03-04 changes:
    • "MAJOR: Switch to YAML frontmatter"
    • "MAJOR: Enhanced metadata structure" references: []
  • version: 1.0.0 date: 2025-03-03 changes:
    • "MAJOR: Initial documentation" references: []

Token System Implementation

Overview

WILL's Token System manages value distribution, rewards, and interactions within the SKENAI ecosystem. This implementation ensures fair value attribution and incentivizes high-quality contributions.

Core Components

1. Token Types

interface TokenTypes {
  SHIBAK: 'Platform Token';
  SBX: 'Governance Token';
  BSTBL: 'Stablecoin';
  SBV: 'Value Token';
  EVS: 'Everstrike Token';
}

interface TokenMetrics {
  supply: number;
  circulation: number;
  locked: number;
  burned: number;
}

2. XP System Integration

interface XPReward {
  track: string;
  amount: number;
  multiplier: number;
  tokens: {
    type: keyof TokenTypes;
    amount: number;
  }[];
}

3. Distribution Logic

  • Merit-based allocation
  • Track-specific rewards
  • Quality multipliers
  • Time-weighted bonuses

System Features

1. Token Tracking

  • Balance monitoring
  • Transaction history
  • Reward calculations
  • Distribution events

2. Value Attribution

  • Contribution assessment
  • Quality metrics
  • Impact measurement
  • Pattern recognition

3. Reward Distribution

  • Automated payouts
  • Milestone bonuses
  • Achievement rewards
  • Community incentives

Integration with WILL

1. Analysis Engine

WILL uses token data to:

  • Assess value creation
  • Track contribution patterns
  • Guide improvements
  • Optimize rewards

2. Pattern Recognition

  • Value flow analysis
  • Success indicators
  • Quality metrics
  • Growth patterns

3. Automation

  • Reward calculations
  • Distribution triggers
  • Milestone tracking
  • Achievement unlocks

Technical Implementation

1. Core Functions

class TokenSystem {
  async calculateReward(action: Action): Promise<XPReward>;
  async distributeTokens(user: User, reward: XPReward): Promise<void>;
  async trackValueFlow(source: string, target: string): Promise<void>;
  async assessQuality(contribution: Contribution): Promise<number>;
}

2. Security Features

  • Transaction signing
  • Rate limiting
  • Fraud detection
  • Balance verification

3. Performance

  • Batch processing
  • Caching strategy
  • Queue management
  • Load balancing

Best Practices

1. Development

  • Type safety
  • Test coverage
  • Error handling
  • Documentation

2. Operations

  • Transaction monitoring
  • Balance reconciliation
  • Error tracking
  • Performance tuning

3. Maintenance

  • Regular audits
  • Security updates
  • System backups
  • Documentation updates

Related Components

Integration with NATURAL Framework

  • Clean repository separation
  • Natural pipeline flow
  • Validator protection
  • Interface standards

Pipeline API Integration

  • /pipeline/submit - Entry point
  • /pipeline/validate - Basic checks
  • /pipeline/analyze - Efficiency (Q.1)
  • /pipeline/patterns - Recognition (Q.2)
  • /pipeline/status - State checks
  • /pipeline/vote - Governance

Integration with Three-Graph Lattice

  • Technical graph validation
  • Economic resource optimization
  • Quality metrics tracking
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