ralph-analytics

原文涵盖的主题

• Al Analytics Command
• Instructions
• Arguments
• References

Display aggregate analytics and metrics from agent loop execution history. When invoked, analyze agent loop data and present metrics: 1. Scan Loop History Load all loop records from .aiwg/ralph/ Load reflections from .aiwg/ralph/reflections/ Load debug memory from .aiwg/ralph/debug-memory/ 2. Calculate Metrics Success rate: % of loops that completed successfully Average iterations: Mean iterations to completion Reflection reuse rate: % of reflections applied in subsequent loops Stuck loop rate: % of loops that hit stuck detection Escalation rate: % requiring human intervention 3. Pattern Analysis Most common failure types Most effective fix patterns Average time per iteration Quality trajectory per loop 4. Display Dashboard Summary metrics table Trend indicators (improving/stable/degrading) Recommendations for improvement --since [date] - Analyze loops from date (default: all) --loop [id] - Analyze specific loop --export [path] - Export analytics to file --brief - Show summary only @$AIWGROOT/agentic/code/addons/agent-loop/schemas/reflection-memory.json - Reflection schema @$AIWGROOT/agentic/code/addons/agent-loop/schemas/debug-memory.yaml - Debug memory schema @$AIWGROOT/agentic/c

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