RugProof: Smart Contract Security Auditor for Claude Code

RugProof: Smart Contract Security Auditor for Claude Code

RugProof is a specialized tool designed for developers working with smart contracts, particularly those utilizing Claude code. It provides a robust auditing framework to identify potential vulnerabilities and enhance the security of your smart contract deployments. By automating the detection of common exploits and offering simulation capabilities, RugProof aims to streamline the security review process for developers, ensuring greater confidence in their code before mainnet deployment.

What RugProof Does

RugProof functions as an automated security auditor for smart contracts. Its primary objective is to scan your Claude code for known vulnerabilities that could lead to exploits or financial loss. The tool goes beyond simple pattern matching by generating Proofs of Concept (PoCs) for detected vulnerabilities, allowing developers to understand the exact mechanism of an attack. Furthermore, it offers mainnet-fork simulation, enabling you to test your contract's security in an environment that closely mirrors the live blockchain, identifying issues that might only surface under specific network conditions.

Key Features

• Vulnerability Detection: Identifies a wide range of common smart contract security flaws.
• Exploit PoC Generation: Provides concrete examples of how detected vulnerabilities can be exploited.
• Mainnet-Fork Simulation: Allows testing of smart contracts on a simulated mainnet environment.
• Claude Code Specialization: Tailored for smart contracts written in Claude.
• Open Source: Developed and maintained on GitHub for transparency and community contribution.

Who RugProof is For

RugProof is an essential tool for smart contract developers , blockchain security auditors , and DeFi project teams . If you are building smart contracts using Claude, especially those handling significant value or complex logic, RugProof can significantly improve your security posture. It is particularly beneficial for developers who want to proactively identify and mitigate risks before deploying to production, thereby protecting user assets and project reputation.