chore: milestone 78 — remove bloat (landing/, agent-evolution/, PNG baselines)

- Move landing/ to archive/landing (marketing page, not core)
- Move agent-evolution/ to archive/agent-evolution (dashboard frozen)
- Remove dashboard PNG baselines from git + disk
- Update .gitignore to exclude archive dirs
- Update script DB paths to archive/agent-evolution/data

Cross-checker: PASS (no FAILs)

Issues: #128

scripts/compute-empirical-scores.py

@@ -1,7 +1,7 @@
 #!/usr/bin/env python3
 """
 Compute empirical model assignments from real-fit.db.
-Reads agent-evolution/data/real-fit.db and kilo-meta.json,
+Reads archive/agent-evolution/data/real-fit.db and kilo-meta.json,
 generates a comparison report and fitness-history.jsonl.
 Does NOT modify any config files.
 """
@@ -95,7 +95,7 @@ def build_report(stats, current_models, valid_models):
     lines.append("## Methodology")
     lines.append("")
     lines.append(
-        "1. Read all evaluations from `agent-evolution/data/real-fit.db`."
+        "1. Read all evaluations from `archive/agent-evolution/data/real-fit.db`."
     )
     lines.append(
         "2. Exclude evaluations for models no longer present in `kilo-meta.json`."

scripts/real-fit-engine.py

@@ -18,7 +18,7 @@ from datetime import datetime, timezone
 from urllib import request, error as urllib_error
 from concurrent.futures import ThreadPoolExecutor, as_completed
 
-DB_PATH = os.environ.get("REAL_FIT_DB", "agent-evolution/data/real-fit.db")
+DB_PATH = os.environ.get("REAL_FIT_DB", "archive/agent-evolution/data/real-fit.db")
 
 # Load .env if present
 _ENV_LOADED = False
@@ -608,7 +608,7 @@ def generate_report():
         'fit_scores': fit_scores
     }
     
-    out = os.environ.get('REPORT_PATH', 'agent-evolution/data/real-fit-report.json')
+    out = os.environ.get('REPORT_PATH', 'archive/agent-evolution/data/real-fit-report.json')
     out_dir = os.path.dirname(out)
     if out_dir:
         os.makedirs(out_dir, exist_ok=True)
@@ -624,7 +624,7 @@ def generate_report():
 # ================================================================
 
 def import_from_evolution():
-    evo_path = os.environ.get('EVOLUTION_PATH', 'agent-evolution/data/evolution.json')
+    evo_path = os.environ.get('EVOLUTION_PATH', 'archive/agent-evolution/data/evolution.json')
     with open(evo_path) as f:
         evo = json.load(f)
     conn = sqlite3.connect(DB_PATH)

scripts/sync-dashboard-data.py

@@ -5,12 +5,12 @@ from datetime import datetime, timezone
 
 def build_dashboard_data():
     # Load real evolution data
-    with open('agent-evolution/data/evolution.json') as f:
+    with open('archive/agent-evolution/data/evolution.json') as f:
         evo = json.load(f)
 
     # Load model benchmarks for supplemental info
     try:
-        with open('agent-evolution/data/model-benchmarks-verified.json') as f:
+        with open('archive/agent-evolution/data/model-benchmarks-verified.json') as f:
             bm = json.load(f)
     except:
         bm = {'models': []}
@@ -109,7 +109,7 @@ def build_dashboard_data():
 
 if __name__ == '__main__':
     data = build_dashboard_data()
-    out = 'agent-evolution/data/dashboard-data.json'
+    out = 'archive/agent-evolution/data/dashboard-data.json'
     os.makedirs(os.path.dirname(out), exist_ok=True)
     with open(out, 'w') as f:
         json.dump(data, f, ensure_ascii=False, indent=2)

scripts/test_real_api.py

@@ -14,7 +14,7 @@ init_db()
 import_from_evolution()
 generate_prompts()
 
-conn = sqlite3.connect("agent-evolution/data/real-fit.db")
+conn = sqlite3.connect("archive/agent-evolution/data/real-fit.db")
 row = conn.execute("SELECT system_prompt, user_prompt, expected_keywords, rubric FROM test_prompts WHERE agent_name = ?", ("code-skeptic",)).fetchone()
 conn.close()