How It Works
How It Works This workflow automates blockchain risk assessment using a multi-agent AI architecture, targeting DeFi developers, blockchain auditors, and Web3 project teams who need rigorous smart contract and tokenomics evaluation before deployment or investment decisions. The core problem it solves is the time-intensive, expertise-heavy process of manually auditing Solidity smart contracts and modelling tokenomics sustainability, tasks prone to oversight when done under launch pressure. A manual trigger reads Solidity files from disk and passes them to the Blockchain Risk Orchestrator Agent, which coordinates two specialist sub-agents: a Smart Contract Auditor Agent (using static analysis and a dedicated auditor model) and a Tokenomics Sustainability Agent (leveraging a Risk Score Calculator and Monte Carlo Simulation Tool). Each agent maintains its own memory and model context. Outputs are parsed into a Structured Risk Report, then prepared for storage and saved to a database. A final Gmail node dispatches the completed risk report to stakeholders, closing the audit loop automatically. Setup Steps Configure the Read Solidity Files node with the correct disk path to your .sol files. Add LLM API credentials to all Chat Model nodes (Orchestrator, Auditor, Tokenomics). Set static analysis parameters in the Static Analysis Tool node. Define risk thresholds and scoring weights in the Risk Score Calculator. Configure Monte Carlo simulation parameters in the simulation tool node. Prerequisites LLM API key (OpenAI or compatible) Solidity .sol files accessible on disk Static analysis tool configuration Gmail account with OAuth2 credentials Target database or storage destination Use Cases Audit smart contracts before mainnet deployment to catch critical vulnerabilities. Customisation Extend to support multiple Solidity file batches or GitHub repository inputs. Benefits Reduces smart contract audit time from days to minutes. An n8n automation workflow template by Cheng Siong Chin.
Cheng Siong Chin
web
free
Others in the same category, ranked by how often they are opened.
