
from awesome-openclaw-skills611
Framework and templates to analyze incentives, tokenomics, MEV, governance attacks, and auction mechanisms in blockchain protocols.
A practical game-theory toolkit tailored to crypto protocols: templates, analysis patterns, and guidance to model players, strategy spaces, payoffs, information structures, and equilibria. It helps identify likely attacker strategies, design incentive-compatible mechanisms, and recommend fixes to misaligned tokenomics or governance systems.
Run this skill when evaluating token launches, governance proposals, MEV exposure, auction designs (NFT drops, token sales), liquidity incentives, or any protocol where participants' strategic behavior matters. Use it for threat modeling, protocol design changes, or writing recommendations for mitigation.
Best used by agents with on-chain analysis and research capabilities (e.g., Codex/Copilot-like agents, or Claude Code) that can apply the provided templates and references to concrete protocol data.
Game Theory for Crypto is a purely educational/reference skill with no executable scripts or procedural automation. It provides a well-structured framework for analyzing crypto protocol incentives, tokenomics, governance attacks, and MEV using game theory concepts. The SKILL.md is comprehensive and well-written as a knowledge base, but lacks actionable agent instructions — an agent would need to interpret the framework rather than execute defined steps.
Well-crafted educational content for crypto game theory analysis. Would benefit from actual scripts (e.g., a Nashpy-based analysis script) or more concrete procedural steps for agents. The metadata homepage URL (tedkaczynski-the-bot) is unusual but appears to be a novelty username, not a security concern.
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