Evolution State Analyzer
This skill provides meta-analysis of the evolution process itself by examining the memory_graph.jsonl file.
Capabilities
- Stagnation Detection: Identifies repetitive cycles without improvement.
- Gene Efficacy Analysis: Tracks which genes yield the highest success rates.
- Failure Cluster Analysis: Groups failure reasons to pinpoint systemic issues.
- Trend Reporting: Visualizes evolution score trends over time.
Usage
const analyzer = require('./index');
const insights = await analyzer.analyzeState();
console.log(JSON.stringify(insights, null, 2));
Example Output
{
"total_cycles": 120,
"success_rate": 0.75,
"stagnation_detected": true,
"top_genes": [
{ "id": "gene_repair_v2", "success_rate": 0.95 },
{ "id": "gene_innovate_v1", "success_rate": 0.40 }
],
"recommendations": [
"Switch to INNOVATE intent (stagnation streak: 5)",
"Deprecate gene_innovate_v1 (success rate < 0.5)"
]
}
