Klingai Audit Logging

Overview

This skill demonstrates implementing comprehensive audit logging for Kling AI operations including API calls, user actions, security events, and compliance-ready logs.

Prerequisites

• Kling AI API key configured
• Log storage (file, database, or cloud logging)
• Python 3.8+

Instructions

Follow these steps for audit logging:

1. Define Events: Identify what to log
2. Create Logger: Implement logging infrastructure
3. Capture Context: Include all relevant metadata
4. Store Securely: Use tamper-evident storage
5. Enable Search: Make logs queryable

Output

Successful execution produces:

• Timestamped audit events
• Tamper-evident checksums
• User activity summaries
• Compliance-ready logs

Error Handling

See ${CLAUDE_SKILL_DIR}/references/errors.md for comprehensive error handling.

Examples

See ${CLAUDE_SKILL_DIR}/references/examples.md for detailed examples.

Resources

• Audit Logging Best Practices
• SOC 2 Logging Requirements
• GDPR Audit Requirements