| name | klingai-audit-logging |
|---|---|
| description | Implement comprehensive audit logging for Kling AI operations. Use when tracking API usage, compliance requirements, or security audits. Trigger with phrases like 'klingai audit', 'kling ai logging', 'klingai compliance log', 'video generation audit trail'. |
| allowed-tools | Read, Write, Edit, Grep |
| version | 1.0.0 |
| license | MIT |
| author | Jeremy Longshore <[email protected]> |
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:
- Define Events: Identify what to log
- Create Logger: Implement logging infrastructure
- Capture Context: Include all relevant metadata
- Store Securely: Use tamper-evident storage
- Enable Search: Make logs queryable
Output
Successful execution produces: - Timestamped audit events - Tamper-evident checksums - User activity summaries - Compliance-ready logs
Error Handling
See {baseDir}/references/errors.md for comprehensive error handling.
Examples
See {baseDir}/references/examples.md for detailed examples.