infra: Allegro self-improvement operational files

Creates the foundational state-tracking and validation infrastructure
for Epic #842 (Allegro Self-Improvement).

Files added:
- allegro-wake-checklist.md — real state check on every wakeup
- allegro-lane.md — lane boundaries and empty-lane protocol
- allegro-cycle-state.json — crash recovery and multi-cycle tracking
- allegro-hands-off-registry.json — 24-hour locks on STOPPED/FINE entities
- allegro-failure-log.md — verbal reflection on failures
- allegro-handoff-template.md — validated deliverables and context handoffs
- burn-mode-validator.py — end-of-cycle scoring script (6 criteria)

Sub-issues created: #843 #844 #845 #846 #847 #848 #849 #850

fleet/allegro/burn-mode-validator.py

@@ -0,0 +1,121 @@
+#!/usr/bin/env python3
+"""
+Allegro Burn Mode Validator
+Scores each cycle across 6 criteria.
+Run at the end of every cycle and append the score to the cycle log.
+"""
+
+import json
+import os
+import sys
+from datetime import datetime, timezone
+
+LOG_PATH = os.path.expanduser("~/.hermes/burn-logs/allegro.log")
+STATE_PATH = os.path.expanduser("~/.hermes/allegro-cycle-state.json")
+FAILURE_LOG_PATH = os.path.expanduser("~/.hermes/allegro-failure-log.md")
+
+
+def score_cycle():
+    now = datetime.now(timezone.utc).isoformat()
+    scores = {
+        "state_check_completed": 0,
+        "tangible_artifact": 0,
+        "stop_compliance": 1,  # Default to 1; docked only if failure detected
+        "lane_boundary_respect": 1,  # Default to 1
+        "evidence_attached": 0,
+        "reflection_logged_if_failure": 1,  # Default to 1
+    }
+
+    notes = []
+
+    # 1. State check completed?
+    if os.path.exists(LOG_PATH):
+        with open(LOG_PATH, "r") as f:
+            lines = f.readlines()
+        if lines:
+            last_lines = [l for l in lines[-20:] if l.strip()]
+            for line in last_lines:
+                if "State check complete" in line or "WAKE" in line:
+                    scores["state_check_completed"] = 1
+                    break
+            else:
+                notes.append("No state check log line found in last 20 log lines.")
+        else:
+            notes.append("Cycle log is empty.")
+    else:
+        notes.append("Cycle log does not exist.")
+
+    # 2. Tangible artifact?
+    artifact_found = False
+    if os.path.exists(STATE_PATH):
+        try:
+            with open(STATE_PATH, "r") as f:
+                state = json.load(f)
+            cycles = state.get("cycles", [])
+            if cycles:
+                last = cycles[-1]
+                evidence = last.get("evidence", "")
+                if evidence and evidence.strip():
+                    artifact_found = True
+                status = last.get("status", "")
+                if status == "aborted" and evidence:
+                    artifact_found = True  # Documented abort counts
+        except Exception as e:
+            notes.append(f"Could not read cycle state: {e}")
+    if artifact_found:
+        scores["tangible_artifact"] = 1
+    else:
+        notes.append("No tangible artifact or documented abort found in cycle state.")
+
+    # 3. Stop compliance (check failure log for recent un-reflected stops)
+    if os.path.exists(FAILURE_LOG_PATH):
+        with open(FAILURE_LOG_PATH, "r") as f:
+            content = f.read()
+        # Heuristic: if failure log mentions stop command and no corrective action verification
+        # This is a simple check; human audit is the real source of truth
+        if "Stop command" in content and "Verification Date" in content:
+            pass  # Assume compliance unless new entry added today without reflection
+    # We default to 1 and rely on manual flagging for now
+
+    # 4. Lane boundary respect — default 1, flagged manually if needed
+
+    # 5. Evidence attached?
+    if artifact_found:
+        scores["evidence_attached"] = 1
+    else:
+        notes.append("Evidence missing.")
+
+    # 6. Reflection logged if failure?
+    # Default 1; if a failure occurred this cycle, manual check required
+
+    total = sum(scores.values())
+    max_score = 6
+
+    result = {
+        "timestamp": now,
+        "scores": scores,
+        "total": total,
+        "max": max_score,
+        "notes": notes,
+    }
+
+    # Append to log
+    with open(LOG_PATH, "a") as f:
+        f.write(f"[{now}] VALIDATOR — Score: {total}/{max_score}\n")
+        for k, v in scores.items():
+            f.write(f"  {k}: {v}\n")
+        if notes:
+            f.write(f"  notes: {' | '.join(notes)}\n")
+
+    print(f"Burn mode score: {total}/{max_score}")
+    if notes:
+        print("Notes:")
+        for n in notes:
+            print(f"  - {n}")
+
+    return total
+
+
+if __name__ == "__main__":
+    score = score_cycle()
+    sys.exit(0 if score >= 5 else 1)