Tracks AI operations and costs with session-aware JSONL logging for audit trails and performance analytics.
The Usage Logging skill provides a robust infrastructure for monitoring Claude Code interactions by implementing structured JSONL logging with automatic session management. It enables developers to maintain detailed audit trails, track token usage costs across multiple operations, and build comprehensive usage analytics. By grouping related operations into sessions and providing built-in query methods, it simplifies the process of debugging complex AI workflows and managing resource consumption in production-grade environments.
Características Principales
01Automatic session management with one-hour inactivity timeouts
0210 GitHub stars
03Comprehensive metrics including token counts, success rates, and duration
04Customizable metadata support for domain-specific operation tracking
05Structured JSONL output for easy parsing and CLI tool integration
06Built-in query methods for recent errors and usage summaries
Casos de Uso
01Monitoring and forecasting API costs and token consumption
02Auditing AI operations for compliance and security oversight
03Debugging complex workflows using historical operation data and session IDs
