feat: add pipeline-judge agent and evolution workflow system

- Add pipeline-judge agent for objective fitness scoring
- Update capability-index.yaml with pipeline-judge, evolution config
- Add fitness-evaluation.md workflow for auto-optimization
- Update evolution.md command with /evolve CLI
- Create .kilo/logs/fitness-history.jsonl for metrics logging
- Update AGENTS.md with new workflow state machine
- Add 6 new issues to MILESTONE_ISSUES.md for evolution integration
- Preserve ideas in agent-evolution/ideas/

Pipeline Judge computes fitness = (test_rate*0.5) + (gates*0.25) + (efficiency*0.25)
Auto-triggers prompt-optimizer when fitness < 0.70

agent-evolution/ideas/evolution-patch.json

@@ -0,0 +1,84 @@
+{
+  "$schema": "https://app.kilo.ai/agent-recommendations.json",
+  "generated": "2026-04-05T20:00:00Z",
+  "source": "APAW Evolution System Design",
+  "description": "Adds pipeline-judge agent and evolution workflow to APAW",
+  
+  "new_files": [
+    {
+      "path": ".kilo/agents/pipeline-judge.md",
+      "source": "pipeline-judge.md",
+      "description": "Automated fitness evaluator — runs tests, measures tokens/time, produces fitness score"
+    },
+    {
+      "path": ".kilo/workflows/evolution.md",
+      "source": "evolution-workflow.md", 
+      "description": "Continuous self-improvement loop for agent pipeline"
+    },
+    {
+      "path": ".kilo/commands/evolve.md",
+      "source": "evolve-command.md",
+      "description": "/evolve command — trigger evolution cycle"
+    }
+  ],
+
+  "capability_index_additions": {
+    "agents": {
+      "pipeline-judge": {
+        "capabilities": [
+          "test_execution",
+          "fitness_scoring",
+          "metric_collection",
+          "bottleneck_detection"
+        ],
+        "receives": [
+          "completed_workflow",
+          "pipeline_logs"
+        ],
+        "produces": [
+          "fitness_report",
+          "bottleneck_analysis",
+          "improvement_triggers"
+        ],
+        "forbidden": [
+          "code_writing",
+          "code_changes",
+          "prompt_changes"
+        ],
+        "model": "ollama-cloud/nemotron-3-super",
+        "mode": "subagent"
+      }
+    },
+    "capability_routing": {
+      "fitness_scoring": "pipeline-judge",
+      "test_execution": "pipeline-judge",
+      "bottleneck_detection": "pipeline-judge"
+    },
+    "iteration_loops": {
+      "evolution": {
+        "evaluator": "pipeline-judge",
+        "optimizer": "prompt-optimizer",
+        "max_iterations": 3,
+        "convergence": "fitness_above_0.85"
+      }
+    },
+    "evolution": {
+      "enabled": true,
+      "auto_trigger": true,
+      "fitness_threshold": 0.70,
+      "max_evolution_attempts": 3,
+      "fitness_history": ".kilo/logs/fitness-history.jsonl",
+      "budgets": {
+        "feature": {"tokens": 50000, "time_s": 300},
+        "bugfix": {"tokens": 20000, "time_s": 120},
+        "refactor": {"tokens": 40000, "time_s": 240},
+        "security": {"tokens": 30000, "time_s": 180}
+      }
+    }
+  },
+
+  "workflow_state_additions": {
+    "evaluated": ["evolving", "completed"],
+    "evolving": ["evaluated"]
+  }
+}