AGENT SKILL

ralph-analytics

Show analytics and metrics from agent loop execution history

License 许可
MIT
所属仓库
jmagly/aiwg
最近更新
2026-11-14
Stars
★ 229
Forks
36

01 前言 Front Matter

name
ralph-analytics
namespace
aiwg
platforms
[ "all" ]
commandHint
{ "category": "ralph" }
description
Show analytics and metrics from agent loop execution history

03 SKILL.md 正文

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

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

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