What is a bisimulation game in the context of AI agents?

A bisimulation game is a formal framework used to ensure that two different systems or agents remain indistinguishable in their behavior, effectively proving they are functionally equivalent.

Does this skill support automated skill discovery?

Yes, it integrates with tools like Firecrawl and Exa to discover new skills from web resources and convert them into standardized YAML formats for agent use.

Can I use this to sync skills between Claude and other agents?

Yes, the skill dispersal protocol is designed to propagate updates across multiple agents including Claude, Cursor, and Codex, using a centralized source of truth.

How does GF(3) conservation work in this skill?

It uses ternary logic (values of -1, 0, and 1) to track transitions between the Attacker, Defender, and Arbiter roles, ensuring every state change is mathematically balanced and verified.

What are observational bridge types?

Observational bridges are version-aware connectors that allow different versions of a skill to interact and synchronize based on observable outputs rather than internal code structure.

Bisimulation Game & Multi-Agent Skill Dispersal

Name: Bisimulation Game & Multi-Agent Skill Dispersal
Author: plurigrid

byplurigrid

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開発者ツール

Ensures resilient skill synchronization and state equivalence across multiple AI agents using ternary conservation laws.

The Bisimulation Game skill provides a mathematically rigorous framework for dispersing and verifying skills across heterogeneous AI agent environments like Claude, Codex, and Cursor. By utilizing GF(3) ternary logic and observational bridge types, it enables agents to maintain behavioral equivalence even during complex state transitions or version updates. This skill is ideal for developers managing multi-agent workflows who require high-assurance synchronization, self-rewriting capabilities via MCP Tasks, and advanced 2D-cubical conflict resolution to prevent agent divergence.

主な機能

01Automated self-rewriting capabilities integrated with the MCP Tasks protocol

02Advanced 2D-cubical conflict resolution for reconciling divergent agent states

03Observational bridge types for version-aware agent synchronization

04Resilient skill dispersal protocol across distributed AI agent environments

05GF(3) ternary conservation for verifying state transition integrity

067 GitHub stars

ユースケース

01Orchestrating complex skill discovery and propagation using Firecrawl and Exa integrations

02Synchronizing custom developer tools and specialized skills across multiple AI IDEs and agents

03Verifying the behavioral equivalence of system updates through automated bisimulation testing

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi bisimulation-game

For use in Claude.ai and ChatGPT

Download Skill