What methodology does it use for analysis?

It follows a four-step process: modeling the game participants, finding stable equilibria, stress-testing against edge cases, and providing specific design recommendations.

How does this skill help with DeFi protocol design?

It provides frameworks to identify Nash equilibria and stress-test incentive structures against adversarial strategies, ensuring long-term sustainability and security.

Can I use this for tokenomics audits?

Yes, it includes specific red-flag checklists for token distribution, vesting schedules, and inflationary pressures to help identify potential economic vulnerabilities.

Does it include MEV analysis?

Yes, the skill contains specialized patterns for understanding the game-theoretic interactions between users, searchers, and validators in transaction ordering games.

Game Theory for Crypto

Name: Game Theory for Crypto
Author: sundial-org

bysundial-org

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510

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Security & Testing

Provides a strategic framework for analyzing and designing incentive systems, tokenomics, and governance mechanisms in Web3 protocols.

This skill empowers Claude to perform advanced game theory analysis for blockchain ecosystems, focusing on incentive alignment, adversarial behavior prediction, and mechanism design. It provides a structured methodology for identifying Nash equilibria, detecting potential exploits in DeFi protocols, and evaluating the sustainability of tokenomic models. Whether you are designing an auction for NFT drops, assessing governance voting risks, or modeling MEV strategies, this skill offers the frameworks and reference patterns needed to ensure protocol security and economic stability.

Key Features

01Comprehensive equilibrium analysis using Nash and Pareto frameworks

02Identification of common patterns like the Prisoner's Dilemma and Tragedy of the Commons

03Structured modeling for Web3 protocol interactions and player incentives

04Specialized modules for MEV, auction theory, and liquidity provision games

05Red flag detection for misaligned incentives in tokenomics and governance

06510 GitHub stars

Use Cases

01Evaluating DeFi protocol sustainability and stress-testing incentive structures

02Designing and auditing governance systems to prevent minority capture or voting apathy

03Modeling adversarial behavior in MEV and transaction ordering scenarios

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sundial-org/awesome-openclaw-skills game-theory

For use in Claude.ai and ChatGPT

Key Features

01Comprehensive equilibrium analysis using Nash and Pareto frameworks

02Identification of common patterns like the Prisoner's Dilemma and Tragedy of the Commons

03Structured modeling for Web3 protocol interactions and player incentives

04Specialized modules for MEV, auction theory, and liquidity provision games

05Red flag detection for misaligned incentives in tokenomics and governance

06510 GitHub stars

Use Cases

01Evaluating DeFi protocol sustainability and stress-testing incentive structures

02Designing and auditing governance systems to prevent minority capture or voting apathy

03Modeling adversarial behavior in MEV and transaction ordering scenarios

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sundial-org/awesome-openclaw-skills game-theory

For use in Claude.ai and ChatGPT