Web3 Audit Plugin - Core Skill

To run an AI-assisted smart contract security audit, load your target code, identify the protocol and chain, run the appropriate scanner, apply checklists, review attack chains, and generate an audit report. You need a model with tool-use capabilities.

Yes, AI auditing supports Solana, Move, Cairo, CosmWasm, and TON platforms alongside EVM chains. It applies protocol-specific checklists and scanners to detect vulnerabilities across these distinct multi-chain environments automatically.

Attack-chain analysis in web3 security audits maps individual vulnerabilities to multi-step exploit sequences. This helps identify comprehensive defense gaps by showing how distinct smart contract weaknesses can be chained together by attackers.

Yes, automated smart contract auditing requires a model with tool-use capabilities. This enables the AI agent to route to scanners, apply 200+ known vulnerability patterns, and execute protocols across EVM and non-EVM chains.

The best way to classify vulnerability severity in multi-chain audit reports is using automated severity classification. It generates findings templates based on 200+ known patterns and protocol-specific checklists to streamline remediation efforts.

Pattern-driven checklists leverage 200+ known vulnerability patterns for rapid, consistent vulnerability detection. Unlike manual code review, this approach centralizes AI-assisted auditing to standardize security reviews across Ethereum-compatible and non-EVM platforms.