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This skill provides specialized capabilities for jeremylongshore's codebase.
Use Cases
- Developing new features in the jeremylongshore repository
- Refactoring existing code to follow jeremylongshore standards
- Understanding and working with jeremylongshore's codebase structure
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Updated At Jan 11, 2026, 10:30 PM
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SKILL.md 56 Lines
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License MIT
---
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:
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 `{baseDir}/references/errors.md` for comprehensive error handling.
## Examples
See `{baseDir}/references/examples.md` for detailed examples.
## Resources
- [Audit Logging Best Practices](https://cheatsheetseries.owasp.org/cheatsheets/Logging_Cheat_Sheet.html)
- [SOC 2 Logging Requirements](https://www.aicpa.org/soc)
- [GDPR Audit Requirements](https://gdpr.eu/article-30-records-of-processing-activities/)
