eyebot-auditbot

What This Skill Does

The eyebot-auditbot is an advanced security intelligence tool designed for the OpenClaw AI agent ecosystem. It serves as a comprehensive smart contract auditor, leveraging machine learning models to identify vulnerabilities, rug pull indicators, and potential honeypot mechanisms. Unlike standard static analysis tools, this skill performs deep semantic code review and monitors on-chain interactions to provide actionable security insights. It provides a structured risk assessment report, allowing developers and DeFi participants to make informed decisions before deploying capital or interacting with external contracts. By covering categories such as reentrancy, access control, and logical flaws, AuditBot acts as a front-line defense against malicious smart contract deployments.

Installation

To integrate this security suite into your OpenClaw environment, execute the following installation command in your terminal:

clawhub install openclaw/skills/skills/eyebots/eyebot-auditbot

Ensure that you have the latest version of the OpenClaw agent installed and your environment is configured for blockchain interaction capabilities. Once installed, the skill will register itself under the eyebot namespace, allowing for immediate access to scanning and monitoring functions.

Use Cases

• Pre-Investment Due Diligence: Scan a new token contract before purchasing to check for malicious functions like hidden minting or liquidity locking exploits.
• Contract Development: During the development lifecycle, developers can use the --deep flag to perform extensive security audits on their codebase to ensure it adheres to best practices before mainnet deployment.
• Continuous Security Monitoring: Utilize the watch command to maintain active surveillance on specific contracts, receiving alerts if any logic changes or owner privilege modifications occur.
• Security Research: Analyze historical exploit vectors by running audits on known problematic contracts to better understand defensive patterns.

Example Prompts

1. "Audit the contract at 0x71C7656... and tell me if it contains any hidden minting functions or honeypot triggers."
2. "Perform a deep security scan on the current project repository and provide a summary of potential reentrancy risks."
3. "Start monitoring the contract 0x5aB123... and notify me immediately if the owner's privileges are modified."

Tips & Limitations

• Use Caution: Always treat AI-generated security reports as supplemental information. While the AI is highly effective at pattern recognition, it cannot guarantee absolute security against zero-day exploits.
• Deep Scans: For critical production code, always use the --deep flag to ensure the internal logic is thoroughly stress-tested against complex exploit vectors.
• Verification: Cross-reference the audit findings with block explorer data to verify ownership claims.
• Limitations: The skill may occasionally produce false positives if a contract uses highly unconventional but safe architectural patterns; always manually verify if a 'Warning' or 'Danger' flag is raised in a complex or non-standard project.