Which blockchain does this skill support?

This specific implementation integrates with the Secure Ternary Coin (STC) which settles transactions on the Aptos network.

What is a Cybernetic Open Game?

It is a formal framework that treats agent-environment interactions as compositional games to ensure mathematical consistency and equilibrium across different architectural layers.

Can this be used for security audits?

Yes, the skill includes a bisimulation game framework and security review dimensions to protect against intent injection, trit manipulation, and TOCTOU attacks.

What is the role of Agent-O-Rama?

Agent-O-Rama serves as the off-chain cognition layer, providing high-bandwidth, local-first intelligence and pattern extraction before data is bridged to the blockchain.

How does GF(3) logic apply to this skill?

GF(3) (ternary logic) is used to verify value conservation. By ensuring the sum of trits across the agent, bridge, and chain layers equals zero (mod 3), the system maintains a Nash equilibrium.

Cybernetic Open Game Logic

Name: Cybernetic Open Game Logic
Author: plurigrid

byplurigrid

Security & Testing

Formalizes off-chain and on-chain agent interactions using compositional game theory and GF(3) Nash equilibrium for secure, value-conserving feedback loops.

About

The Cybernetic Open Game skill provides a rigorous framework for orchestrating interactions between autonomous agents, verification bridges, and blockchain settlement layers. By applying category theory and GF(3) ternary logic, it ensures that system-wide balance is maintained across cognitive and transactional layers. This skill is essential for developers building complex AI agent systems that require formal verification, cryptographic finality, and emergent cooperation within decentralized environments like Aptos.

Key Features

GF(3) ternary logic for maintaining Nash equilibrium and value conservation
Integrated security analysis using BlackHat-Go and Carlini attack frameworks
0 GitHub stars
Compositional Open Game framework for multi-layered agent coordination
Formal verification of off-chain cognition vs. on-chain settlement transitions
Automated activity aggregation and awareness via DuckDB integration

Use Cases

Implementing value-conserving feedback loops for autonomous DAO governance
Designing secure bridge protocols between AI agents and blockchain networks
Formally verifying the stability of agent-based economic systems

About

Key Features

GF(3) ternary logic for maintaining Nash equilibrium and value conservation
Integrated security analysis using BlackHat-Go and Carlini attack frameworks
0 GitHub stars
Compositional Open Game framework for multi-layered agent coordination
Formal verification of off-chain cognition vs. on-chain settlement transitions
Automated activity aggregation and awareness via DuckDB integration

Use Cases

Implementing value-conserving feedback loops for autonomous DAO governance
Designing secure bridge protocols between AI agents and blockchain networks
Formally verifying the stability of agent-based economic systems