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 ${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