Agent skill

ralph-analytics

Show analytics and metrics from agent loop execution history

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Install this agent skill to your Project

npx add-skill https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/agent-loop/skills/ralph-analytics

SKILL.md

Al Analytics Command

Display aggregate analytics and metrics from agent loop execution history.

Instructions

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

Arguments

  • --since [date] - Analyze loops from date (default: all)
  • --loop [id] - Analyze specific loop
  • --export [path] - Export analytics to file
  • --brief - Show summary only

References

  • @$AIWG_ROOT/agentic/code/addons/ralph/schemas/reflection-memory.json - Reflection schema
  • @$AIWG_ROOT/agentic/code/addons/ralph/schemas/debug-memory.yaml - Debug memory schema
  • @$AIWG_ROOT/agentic/code/addons/ralph/docs/reflection-memory-guide.md - Guide

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