Evolution State Analyzer

Analyzes the evolution memory graph for stagnation patterns, recurring failures, and success plateaus. Generates actionable insights to guide future evolution cycles.

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)"
  ]
}