October 16th 2026, 11:36 AM
Etherscan Unveils Transaction Debugger Skill for AI Agents
Key Summary
Etherscan has launched a Transaction Debugger skill that enables AI coding agents to analyze Ethereum transactions with live information from Etherscan, providing a structured way to examine transactions and identify potential issues. The skill is part of Etherscan's Build with AI suite, which aims to promote transparency and accuracy in smart contract development.
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Introduction
Etherscan has released a Transaction Debugger skill that turns complicated Ethereum transactions into reports, either simple or detailed, using its own data. The block explorer designed the tool for agent tools such as Claude Code and Codex, giving them a structured way to analyze EVM transactions with live information from Etherscan, rather than relying on whatever the model thinks it remembers about a contract.What the Transaction Debugger actually does
The debugger decodes the calls inside a transaction and lays out the path execution actually took. It also reconciles changes to assets and permissions, tracking who ended up with what, and which contracts gained the right to spend which tokens. When a transaction fails, the skill offers failure analysis.Features and Benefits
According to Etherscan's materials, the output includes a summary of the transaction, the execution flow, and security observations. Report modes span from Simple to Security. Each report includes direct Etherscan links, and Etherscan positions every output as a read-only reconstruction drawn from its API that users should verify through the explorer.Companion Skills
Etherscan Flow tracks the movement of funds, while Contract Review is aimed at validating contracts. The debugger intentionally avoids broad wallet tracing and multi-hop fund flows, handing those jobs to Etherscan Flow.Installation and Usage
Installation is a single command for developers already working in agent environments: npx skills add https://github.com/etherscan/skills -skill etherscan-transaction-debugger -g -a '*'Why grounding the AI matters
Etherscan emphasizes that the debugger's outputs come straight from its API as a guard against hallucinated results. The agent produces the narrative, but the explorer remains the source of truth that users are expected to check.#Etherscan#AI#SmartContract#Ethereum