An AI-powered security analysis tool designed to identify vulnerabilities in Solidity smart contracts and provide actionable remediation advice.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install smart-contract-auditor
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install smart-contract-auditor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Smart Contract Auditor is a specialized tool within the Openclaw Skills library that provides automated static analysis for Ethereum-based smart contracts. By leveraging advanced pattern recognition, it scans Solidity code for critical risks such as reentrancy attacks, integer overflows, and improper authorization logic. It is designed to be a developer's first line of defense in the Web3 development lifecycle.
Integrating this skill from the Openclaw Skills collection allows developers to receive a comprehensive security score (0-100) and specific fix suggestions for every audit performed. For a nominal fee of 0.001 USDT per call, it ensures that your decentralized applications are built on a foundation of safety and best practices.
To start using this auditor from Openclaw Skills, ensure you have the necessary script environment configured. You can execute audits using the following commands:
# Audit a specific contract file
python scripts/contract_auditor.py contract.sol
# Audit raw code strings directly
python scripts/contract_auditor.py --code "contract SecureCode { ... }"
The Smart Contract Auditor organizes its findings into a clear taxonomy to help developers prioritize fixes:
| Level | Detection Items |
|---|---|
| High Risk | Reentrancy, Selfdestruct, Unchecked external calls |
| Medium Risk | tx.origin usage, Timestamp dependence, Unchecked return values |
| Low Risk | Unlimited approval risks, Missing event logs |
The output includes a security_score, a list of vulnerabilities, and suggested code corrections.
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