ralph-analytics
SolidShow analytics and metrics from agent loop execution history
AI & Automation 142 stars
21 forks Updated yesterday MIT
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# 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
Details
- Author
- jmagly
- Repository
- jmagly/aiwg
- Created
- 9 months ago
- Last Updated
- yesterday
- Language
- TypeScript
- License
- MIT
Integrates with
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