Input Validation Sanitization Auditor

The input-validation-sanitization-auditor skill provides a framework for auditing and validating user inputs to ensure data integrity and security within AI agent workflows. It focuses on identifying potential vulnerabilities in how agents process external data before executing critical operations.

When to use it

• Before deploying an AI agent that processes untrusted data from public sources or user forms.
• During the development phase to establish baseline security protocols for input handling.
• When integrating new third-party APIs that require strict sanitization rules.
• To audit existing workflows for potential injection attacks or malformed data entry.

Key capabilities

• Automated validation of incoming data streams against defined schema rules.
• Sanitization checks to remove malicious scripts or harmful characters.
• Comprehensive auditing reports highlighting input vulnerabilities.
• Real-time feedback mechanisms for correcting invalid user submissions.

Example prompts

• "Run a full audit on the current input pipeline for any potential SQL injection risks."
• "Validate this batch of user-generated content against our new sanitization policy."
• "Generate a report detailing all failed validation attempts in the last 24 hours."

Tips & gotchas

Ensure your agent has clear definitions of valid input formats before running audits to avoid false positives. Regularly update validation rules as threat landscapes evolve to maintain robust security posture.