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contract-auditor

Automate Solidity smart contract security audits with adversarial validation and report generation.

103|15|Updated Mar 23, 2026
Search Tags:#security audit#vulnerability detection#smart contract#solidity#automated analysis
One-click install
npx skills add https://github.com/DarkNavySecurity/web3-skills --skill contract-auditor-darknavysecurity
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: contract-auditor
Source: https://github.com/DarkNavySecurity/web3-skills/tree/main/contract-auditor
Command: npx skills add https://github.com/DarkNavySecurity/web3-skills --skill contract-auditor-darknavysecurity

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, api_keys, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of auditing Solidity smart contracts for security vulnerabilities, saving time and reducing the risk of human error.

Core Features & Use Cases

  • Automated Security Audit: Performs a deep analysis of Solidity contracts to identify potential vulnerabilities.
  • Delegated Analysis: Distributes the analysis across multiple agents for efficiency.
  • Adversarial Falsification: Adds an additional layer of validation by challenging findings with source-level verification.
  • Report Generation: Outputs a detailed report with severity rankings and coverage summaries.
  • Use Case: Imagine you have a new smart contract to audit. Use this Skill to scan the contract for vulnerabilities and generate a report with detailed findings and recommendations.

Quick Start

Use the contract-auditor skill to scan your Solidity contract 'MyContract.sol'.

Frequently Asked Questions about contract-auditor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate security audits for Solidity smart contracts?▼

Automate Solidity smart contract security audits by executing a suite of analysis agents that map context and perform parallel hunting to identify potential vulnerabilities.

What is adversarial falsification in smart contract vulnerability detection?▼

Adversarial falsification validates vulnerability detection findings by challenging them with source-level verification, reducing false positives during automated security audits.

Do I need Python and API keys to run automated Solidity contract analysis?▼

Yes, you need a Python environment and API keys to execute the automated analysis agents and enable full functionality for smart contract vulnerability detection.

How does DFS-based context mapping work for on-chain exploit investigation?▼

DFS-based context mapping systematically traverses smart contract dependencies to build comprehensive context, enabling parallel hunting of vulnerabilities during on-chain exploit investigation.

What's the best way to generate a security audit report for smart contracts?▼

Generate detailed security audit reports by running automated analysis agents that output severity rankings and coverage summaries for your Solidity smart contracts.

Can I use automated analysis for existing smart contract exploit investigation?▼

Yes, automated analysis applies to on-chain exploit investigation by mapping contract context and using adversarial validation to identify and verify vulnerabilities in Solidity code.

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