game-theoretic-agent-incentives

Prove Folk Theorem conditions and design correlated equilibria for advisory file-claim systems.

2|Updated Feb 11, 2026
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Skill: game-theoretic-agent-incentives
Source: https://github.com/curiositech/port-daddy/tree/main/skills/game-theoretic-agent-incentives
Command: npx skills add https://github.com/curiositech/port-daddy --skill game-theoretic-agent-incentives

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Proves and designs incentive-compatible coordination strategies for advisory claims in multi-agent systems, enabling sustained cooperation through observable history and persistent identities.

Core Features & Use Cases

  • Formal equilibrium proofs (Nash, Folk Theorem, correlated equilibrium) for advisory claim environments.
  • Daemon-assisted correlation design to reduce price of anarchy and coordinate competing agents.
  • Identity resilience guidance to prevent Sybil attacks and preserve auditability.
  • Audit-ready frameworks for protocol verification and risk assessment.

Quick Start

Provide a protocol description and an equilibrium proof showing cooperative incentives under observable history and persistent identities.

Frequently Asked Questions about game-theoretic-agent-incentives

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prove Folk Theorem conditions for cooperative incentives in a multi-agent protocol?

To prove Folk Theorem conditions, provide a protocol description with observable history and persistent identities, then construct equilibrium proofs showing cooperative incentives. The analysis requires explicit strategy profiles, deviation analysis, and observability constraints to demonstrate sustained cooperation.

What is the best way to design correlated equilibria using a daemon in multi-agent systems?

Designing correlated equilibria with a daemon involves creating a coordination mechanism that reduces the price of anarchy across competing agents. The daemon assists in generating explicit strategy profiles and deviation analysis to establish equilibrium conditions in advisory file-claim environments.

How do I evaluate the price of anarchy for agent interactions with persistent identity and audit trails?

Evaluating the price of anarchy requires analyzing agent interactions under persistent identity and immutable audit trails. The process examines deviation incentives across strategy profiles to establish PoA bounds and verify that equilibrium conditions hold under observable history constraints.

When do I need incentive-compatible coordination analysis for advisory file-claim systems?

Incentive-compatible coordination analysis is needed when designing multi-agent advisory protocols that require sustained cooperation. It applies when you must prove equilibrium conditions, prevent Sybil attacks through identity resilience, or establish audit-ready frameworks for protocol verification and risk assessment.

Can I use game-theoretic equilibrium proofs to prevent Sybil attacks in protocol design?

Yes, equilibrium proofs support identity resilience guidance to prevent Sybil attacks by leveraging persistent identities and immutable audit trails. The analysis ensures that deviation strategies are detectable and punishable under observable history, preserving auditability in advisory claim systems.

What are the limitations of Folk Theorem analysis for multi-agent coordination protocols?

Folk Theorem analysis requires strict observability and persistence constraints, including persistent identity and immutable audit trails. It may not apply when history is unobservable or identities are ephemeral, limiting its use in environments lacking reliable deviation detection mechanisms.