What is Multiverse Finance in this context?

Based on Dave White's framework, it treats different protocol versions as parallel 'verses,' enabling the financial system to track and value multiple potential futures simultaneously.

What are GF(3) fitness signals?

They are triadic signals used to evaluate protocols: -1 (Minus) for breaking changes, 0 (Ergodic) for stability, and +1 (Plus) for innovation and adoption growth.

How does the skill handle protocol forks?

It uses 'Push Down' operations to split market stakes across all forks of a standard, allowing market participants to bet on which specific branch will ultimately survive.

Does this skill support private coordination?

Yes, it incorporates mixing proofs via hyperbolic random walks to anonymize bets and commitments while maintaining verifiable integrity through spectral gap analysis.

Protocol Evolution Markets

Name: Protocol Evolution Markets
Author: plurigrid

byplurigrid

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API開発

Facilitates prediction markets for protocol standard evolution using multiverse finance and GF(3) fitness signals.

概要

This skill empowers Claude to coordinate the evolution of software protocols and standards by leveraging sophisticated financial market mechanics. It utilizes Multiverse Finance to model parallel protocol futures, GF(3) triadic fitness signals to evaluate technical health, and advanced prediction market rules like LMSR and pm-AMM to provide clear adoption signals. It is designed for decentralized communities and complex ecosystems that need to navigate forks, merges, and standard selection through incentive-aligned coordination rather than centralized decree.

主な機能

GF(3) triadic fitness scoring (Minus, Ergodic, Plus) for objective protocol health evaluation
2 GitHub stars
Multiverse Finance integration for modeling parallel protocol branching and verse operations
Advanced fork detection and merge probability prediction using DuckDB analytics
Privacy-preserving betting via mixing proofs and hyperbolic random walks in negative curvature
Automated market mechanisms including LMSR and Prediction Market AMMs for price discovery

ユースケース

Coordinating community agreement on API standard forks and version migrations
Creating incentive-aligned roadmaps for protocol development through market-based signals
Predicting the long-term market viability of competing open-source protocol specifications

概要

主な機能

GF(3) triadic fitness scoring (Minus, Ergodic, Plus) for objective protocol health evaluation
2 GitHub stars
Multiverse Finance integration for modeling parallel protocol branching and verse operations
Advanced fork detection and merge probability prediction using DuckDB analytics
Privacy-preserving betting via mixing proofs and hyperbolic random walks in negative curvature
Automated market mechanisms including LMSR and Prediction Market AMMs for price discovery

ユースケース

Coordinating community agreement on API standard forks and version migrations
Creating incentive-aligned roadmaps for protocol development through market-based signals
Predicting the long-term market viability of competing open-source protocol specifications