Transforms raw session logs into structured JSON timelines for protocol audit and efficiency analysis.
This skill streamlines the auditing process by converting large, unstructured conversation logs into a compact, queryable JSON timeline. It automatically identifies key events such as tool usage, state transitions, and file operations while preserving vital context like working directories and git branches. It is essential for teams needing to verify protocol compliance, analyze task execution patterns, or measure AI productivity without manually sifting through megabytes of raw log data.
Key Features
01Aggregates session metadata and tool usage statistics
023 GitHub stars
03Extracts chronological events including messages, tool invocations, and results
04Detects workflow state transitions and user approval checkpoints
05Classifies file operations by type and worktree location
06Integrates current Git branch status and task state information
Use Cases
01Investigating specific session failures or unexpected behaviors during development
02Analyzing task execution efficiency and identifying agent performance bottlenecks
03Conducting protocol compliance audits to ensure agents follow defined workflows
