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Automates the identification of logic vulnerabilities in Ethereum smart contracts by leveraging Large Language Models to bridge gaps left by traditional static analysis tools.
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This is a very early-stage experimental project (0 stars, 22 days old) in a crowded niche. While the intersection of LLMs and smart contract security is high-value, the project currently lacks the community traction, unique dataset, or proprietary heuristics needed to differentiate it from basic prompting strategies or existing tools like Slitherin.
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cli_tool
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