Auditor automates code security analysis for operations teams. It identifies vulnerabilities in JavaScript, Python, and TypeScript codebases, integrating with security tools to provide taint analysis and SAST capabilities. Teams benefit from proactive security scanning and reduced risk of vulnerabilities in production.
git clone https://github.com/TheAuditorTool/Auditor.gitAuditor is an AI context and enforcement layer built for code-generating agents. It provides security oversight and enforcement capabilities to help teams maintain code quality and security standards during automated code generation workflows. The tool is designed to work alongside AI agents that generate code, adding an additional layer of review and validation. By integrating with code-generating AI systems, Auditor helps teams ensure that automatically generated code meets their security and quality requirements before deployment.
["1. **Prepare Your Code**: Have your code snippet ready in a copy-paste format. Ensure it's well-formatted and includes relevant context (e.g., surrounding functions, imports).","2. **Specify the Language**: Clearly indicate the programming language of your code snippet (JavaScript, Python, or TypeScript). This helps Auditor tailor its analysis.","3. **Run the Analysis**: Paste the prompt template into your AI tool (e.g., Claude, ChatGPT) and include your code snippet. Wait for Auditor to process the request.","4. **Review the Output**: Carefully review the identified vulnerabilities, risk assessments, and remediation steps. Prioritize actions based on the severity of the risks.","5. **Iterate and Improve**: Use Auditor's feedback to update your code. For complex issues, consult additional resources or security experts."]
Perform comprehensive security analysis on multi-language codebases to identify vulnerabilities.
Utilize deterministic query tools to verify code changes and prevent hallucinations in AI-assisted development.
Conduct architectural intelligence assessments to detect hotspots and circular dependencies in large projects.
Implement cross-file taint tracking to ensure data flow integrity across complex applications.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/TheAuditorTool/AuditorCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Analyze the following code snippet for security vulnerabilities in [LANGUAGE: JavaScript/Python/TypeScript]. Identify potential risks such as SQL injection, XSS, or insecure dependencies. Provide a risk assessment and suggest remediation steps. Code snippet: [CODE_SNIPPET].
After analyzing the provided JavaScript code snippet, Auditor identified several security concerns: 1. **SQL Injection Risk**: The code directly interpolates user input into SQL queries (lines 15-20). This could allow attackers to manipulate database queries. Recommendation: Use parameterized queries or an ORM. 2. **Insecure Dependency**: The code uses the 'crypto-js' library (version 3.1.9-11) which has known vulnerabilities. Recommendation: Update to version 4.0.0 or later. 3. **Sensitive Data Exposure**: API keys are hardcoded in the configuration file (lines 5-7). Recommendation: Use environment variables or a secrets manager. 4. **Cross-Site Scripting (XSS)**: User input is rendered directly in the DOM without sanitization (lines 25-28). Recommendation: Use a sanitization library like DOMPurify. Overall Risk Assessment: High. Immediate action is recommended to address these vulnerabilities before deploying to production.
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