fix: feat: red-team memory should track candidate + abstract learnings (#820)

- Add CANDIDATE_NAME and OPTIMIZER_PROFILE env vars to red-team.sh
  (defaults to "unknown" for standalone runs)
- Update extract_memory Python: new fields candidate, optimizer_profile,
  pattern (abstract op sequence via make_pattern()), and improved insight
  extraction that also captures WHY explanations (because/since/due to)
- Update MEMORY_SECTION Python: entries now grouped by candidate;
  universal patterns (DECREASED across multiple candidates) surfaced first
- Update prompt: add "Current Attack Target" table with candidate/profile,
  optimizer parameter explanations (CI/AW/AS/DD behavioral impact),
  Rule 9 requiring pattern+insight per strategy, updated report format
  with Pattern/Insight fields and universal-pattern conclusion field
- Update red-team-sweep.sh: after inject, parse OptimizerV3Push3.sol for
  r40/r39/r38/r37 constants to build OPTIMIZER_PROFILE string; pass
  CANDIDATE_NAME and OPTIMIZER_PROFILE as env vars to red-team.sh

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

scripts/harb-evaluator/red-team-sweep.sh

@@ -63,12 +63,45 @@ for seed_file in "${seeds[@]}"; do
   fi
   log "Injected into OptimizerV3.sol"
 
+  # 1b. Extract optimizer profile from transpiler output (CI/AW/AS/DD constants)
+  TRANSPILER_OUT="$REPO_ROOT/onchain/src/OptimizerV3Push3.sol"
+  OPTIMIZER_PROFILE=$(python3 - "$TRANSPILER_OUT" <<'PYEOF'
+import re, sys
+try:
+    with open(sys.argv[1]) as f:
+        sol = f.read()
+    ci_vals = set(re.findall(r'\br40\s*=\s*uint256\((\d+)\)', sol))
+    aw_vals = set(re.findall(r'\br38\s*=\s*uint256\((\d+)\)', sol))
+    as_vals = set(re.findall(r'\br39\s*=\s*uint256\((\d+)\)', sol))
+    dd_vals = set(re.findall(r'\br37\s*=\s*uint256\((\d+)\)', sol))
+
+    def fmt_pct(vals):
+        pcts = sorted(set(round(int(v) * 100 / 1e18) for v in vals))
+        return '/'.join(str(p) + '%' for p in pcts) if pcts else '?'
+
+    def fmt_int(vals):
+        ints = sorted(set(int(v) for v in vals))
+        return '/'.join(str(v) for v in ints) if ints else '?'
+
+    profile = f"CI={fmt_pct(ci_vals)}, AW={fmt_int(aw_vals)}, AS={fmt_pct(as_vals)}, DD={fmt_pct(dd_vals)}"
+    if len(ci_vals) > 1 or len(aw_vals) > 1 or len(as_vals) > 1 or len(dd_vals) > 1:
+        profile += ", adaptive"
+    print(profile)
+except Exception as e:
+    import sys as _sys
+    print(f"unknown (parse error: {e})", file=_sys.stderr)
+    print("unknown")
+PYEOF
+  )
+  log "Optimizer profile: $OPTIMIZER_PROFILE"
+
   # 2. Clear stale attack file from previous candidate
   rm -f "$REPO_ROOT/tmp/red-team-attacks.jsonl"
 
   # 3. Run red-team.sh (handles bootstrap + compile + deploy + attack)
   log "Running red-team.sh (timeout: ${TIMEOUT_PER}s)..."
-  CLAUDE_TIMEOUT="$TIMEOUT_PER" timeout "$((TIMEOUT_PER + 120))" \
+  CLAUDE_TIMEOUT="$TIMEOUT_PER" CANDIDATE_NAME="$seed_name" OPTIMIZER_PROFILE="$OPTIMIZER_PROFILE" \
+    timeout "$((TIMEOUT_PER + 120))" \
     bash "$SCRIPT_DIR/red-team.sh" 2>&1 | tee "/tmp/red-team-${seed_name}.log" || true
 
   # 4. Collect attacks