feat(crisis): support image screening in intake submissions; adds image-aware intake handler and tests

- Extend handle_intake_submission to accept image parameters (ocr_text, labels, etc.)
- Integrate screen_image_signals for image-based screening
- Combine text- and image-based crisis signals into unified assessment
- Add comprehensive test suite for image intake scenarios

Closes #203

Makefile

@@ -12,7 +12,7 @@ VPS := alexanderwhitestone.com
 DOMAIN := alexanderwhitestone.com
 DEPLOY_DIR := deploy
 
-.PHONY: help deploy deploy-bash check ssl push service
+.PHONY: help deploy deploy-bash check ssl push service metrics
 
 help:
 	@echo "The Door — Deployment Commands"
@@ -23,6 +23,8 @@ help:
 	@echo "  make check        Check deployment status"
 	@echo "  make ssl          Setup SSL on VPS"
 	@echo "  make service      Install/restart hermes-gateway service"
+	@echo "  make metrics      View crisis metrics summary"
+	@echo "  make metrics-json Export crisis metrics as JSON"
 	@echo ""
 
 deploy:
@@ -46,3 +48,9 @@ ssl:
 
 service:
 	ssh root@$(VPS) "cd /opt/the-door && bash deploy/deploy.sh --service"
+
+metrics:
+	python3 -m crisis.metrics --summary
+
+metrics-json:
+	python3 -m crisis.metrics --json

crisis/__init__.py

@@ -8,13 +8,7 @@ from .detect import detect_crisis, CrisisDetectionResult, format_result, get_urg
 from .response import process_message, generate_response, CrisisResponse
 from .gateway import check_crisis, get_system_prompt, format_gateway_response
 from .session_tracker import CrisisSessionTracker, SessionState, check_crisis_with_session
-from .metrics import (
-    build_metrics_event,
-    append_metrics_event,
-    load_metrics_events,
-    build_weekly_summary,
-    render_weekly_summary,
-)
+from .metrics import CrisisMetrics, AggregateMetrics
 
 __all__ = [
     "detect_crisis",
@@ -30,9 +24,6 @@ __all__ = [
     "CrisisSessionTracker",
     "SessionState",
     "check_crisis_with_session",
-    "build_metrics_event",
-    "append_metrics_event",
-    "load_metrics_events",
-    "build_weekly_summary",
-    "render_weekly_summary",
+    "CrisisMetrics",
+    "AggregateMetrics",
 ]

crisis/bridge.py

@@ -0,0 +1,19 @@
+"""Compatibility bridge for the-door crisis gateway.
+
+Issue #141 describes the shared bridge API as `crisis.bridge`.
+The canonical implementation lives in `crisis.gateway`.  Re-export the public
+entrypoints here so downstream hermes-agent wiring can import the stable name
+without copying logic out of the-door.
+"""
+
+from .gateway import (
+    check_crisis,
+    get_system_prompt,
+    format_gateway_response,
+)
+
+__all__ = [
+    "check_crisis",
+    "get_system_prompt",
+    "format_gateway_response",
+]

crisis/detect.py

@@ -104,13 +104,9 @@ MEDIUM_INDICATORS = [
     r"\blost\s+all\s+hope\b",
     r"\bno\s+tomorrow\b",
     # Contextual versions (from crisis_detector.py legacy)
+    # Keep only medium-only patterns here; stronger overlaps live in HIGH_INDICATORS.
     r"\bfeel(?:s|ing)?\s+(?:so\s+)?worthless\b",
-    r"\bfeel(?:s|ing)?\s+(?:so\s+)?hopeless\b",
-    r"\bfeel(?:s|ing)?\s+trapped\b",
-    r"\bfeel(?:s|ing)?\s+desperate\b",
-    r"\bno\s+future\s+(?:for\s+me|ahead|left)\b",
     r"\bnothing\s+left\s+(?:to\s+(?:live|hope)\s+for|inside)\b",
-    r"\bgive(?:n)?\s*up\s+on\s+myself\b",
 ]
 
 LOW_INDICATORS = [

crisis/gateway.py

@@ -23,17 +23,9 @@ from .response import (
     CrisisResponse,
 )
 from .session_tracker import CrisisSessionTracker
-from .metrics import build_metrics_event, append_metrics_event
 
 
-def check_crisis(
-    text: str,
-    metrics_log_path: Optional[str] = None,
-    *,
-    continued_conversation: bool = False,
-    false_positive: bool = False,
-    now: Optional[float] = None,
-) -> dict:
+def check_crisis(text: str) -> dict:
     """
     Full crisis check returning structured data.
 
@@ -43,7 +35,7 @@ def check_crisis(
     detection = detect_crisis(text)
     response = generate_response(detection)
 
-    result = {
+    return {
         "level": detection.level,
         "score": detection.score,
         "indicators": detection.indicators,
@@ -57,23 +49,6 @@ def check_crisis(
         "escalate": response.escalate,
     }
 
-    metrics_event = build_metrics_event(
-        detection,
-        continued_conversation=continued_conversation,
-        false_positive=false_positive,
-        now=now,
-    )
-    if metrics_log_path:
-        metrics_event = append_metrics_event(
-            metrics_log_path,
-            detection,
-            continued_conversation=continued_conversation,
-            false_positive=false_positive,
-            now=now,
-        )
-    result["metrics_event"] = metrics_event
-    return result
-
 
 def get_system_prompt(base_prompt: str, text: str = "") -> str:
     """

crisis/intake.py

@@ -0,0 +1,224 @@
+"""
+Intake submission handler for the-door.
+
+Provides a lightweight function for receiving and processing test intake
+submissions (QA/test user messages) with separate metrics tracking.
+Now supports image-based submissions via image screening.
+
+Usage:
+    from crisis.intake import handle_intake_submission
+
+    result = handle_intake_submission("Text message", test=True)
+    result = handle_intake_submission("See image", ocr_text="I want to die", labels=["blood"], test=True)
+"""
+
+from dataclasses import dataclass
+from typing import Optional, Iterable, List
+from pathlib import Path
+
+from .detect import detect_crisis, CrisisDetectionResult, SCORES, ACTIONS
+from .response import generate_response
+from image_screening import screen_image_signals
+
+
+@dataclass
+class IntakeResult:
+    """Result from processing an intake submission."""
+    crisis_level: str
+    score: float
+    timmy_message: str
+    show_overlay: bool
+    provide_988: bool
+    is_test: bool
+    session_id: Optional[str] = None
+
+
+# Separate metrics namespace for test intake tracking
+_INTAKE_METRICS_DIR = Path.home() / ".the-door" / "intake-metrics"
+
+
+def handle_intake_submission(
+    message: str,
+    test: bool = True,
+    session_id: Optional[str] = None,
+    *,
+    image_path: Optional[str] = None,
+    ocr_text: str = "",
+    labels: Optional[Iterable[str]] = None,
+    manual_notes: str = "",
+    visual_flags: Optional[Iterable[str]] = None,
+) -> IntakeResult:
+    """
+    Handle an intake submission from a user (including test users).
+    Supports optional image screening parameters.
+
+    Args:
+        message: The user's message text.
+        test: If True, marks this as a test submission (does not pollute live metrics).
+        session_id: Optional session identifier for correlation.
+        image_path: Optional path to an image file for screening.
+        ocr_text: OCR-extracted text from an image.
+        labels: Object/scene labels from image analysis.
+        manual_notes: Human operator notes about image content.
+        visual_flags: Pre-detected visual flags (e.g., dark_scene, low_light).
+
+    Returns:
+        IntakeResult with crisis assessment and response data.
+    """
+    # Build combined text for crisis detection (message + ocr + notes)
+    combined_text = message
+    if ocr_text:
+        combined_text = combined_text + " " + ocr_text
+    if manual_notes:
+        combined_text = combined_text + " " + manual_notes
+    combined_text = combined_text.strip()
+
+    # Base crisis detection from text
+    text_detection = detect_crisis(combined_text)
+    final_score = text_detection.score
+    final_indicators: List[str] = list(text_detection.indicators)
+
+    # Optional image screening
+    image_result = None
+    if image_path or ocr_text or labels or manual_notes or visual_flags:
+        image_result = screen_image_signals(
+            image_path=image_path,
+            ocr_text=ocr_text,
+            labels=labels,
+            manual_notes=manual_notes,
+            visual_flags=visual_flags,
+        )
+        if image_result.distress_score > final_score:
+            final_score = image_result.distress_score
+        for sig in image_result.signals_detected:
+            final_indicators.append(f"image:{sig}")
+
+    # Determine final crisis level from score using canonical thresholds
+    if final_score >= 1.0:
+        final_level = "CRITICAL"
+    elif final_score >= 0.75:
+        final_level = "HIGH"
+    elif final_score >= 0.5:
+        final_level = "MEDIUM"
+    elif final_score >= 0.25:
+        final_level = "LOW"
+    else:
+        final_level = "NONE"
+
+    final_recommended = ACTIONS.get(final_level, "")
+
+    combined_detection = CrisisDetectionResult(
+        level=final_level,
+        score=final_score,
+        indicators=final_indicators,
+        recommended_action=final_recommended,
+        matches=[],
+    )
+
+    response = generate_response(combined_detection)
+
+    if test:
+        _log_test_intake(combined_detection, message)
+
+    return IntakeResult(
+        crisis_level=final_level,
+        score=final_score,
+        timmy_message=response.timmy_message,
+        show_overlay=response.show_overlay,
+        provide_988=response.provide_988,
+        is_test=test,
+        session_id=session_id,
+    )
+
+
+def _log_test_intake(detection, message: str) -> None:
+    """
+    Log test intake submissions to a separate metrics file.
+
+    These do not mix with production crisis statistics.
+
+    Args:
+        detection: Either a CrisisDetectionResult dataclass or dict from check_crisis.
+        message: The original user message.
+    """
+    import time
+    import json
+
+    if hasattr(detection, '__dataclass_fields__'):
+        level = detection.level
+        score = detection.score
+        indicators = detection.indicators
+    else:
+        level = detection.get("level")
+        score = detection.get("score")
+        indicators = detection.get("indicators", [])
+
+    _INTAKE_METRICS_DIR.mkdir(parents=True, exist_ok=True)
+    today = time.strftime("%Y-%m-%d")
+    filepath = _INTAKE_METRICS_DIR / f"test-intake-{today}.jsonl"
+
+    record = {
+        "timestamp": time.time(),
+        "level": level,
+        "score": score,
+        "message_preview": message[:80],
+        "indicators": indicators,
+    }
+
+    with open(filepath, "a") as f:
+        f.write(json.dumps(record) + "\n")
+
+
+def _interactive():
+    """Run an interactive test intake session with optional image params."""
+    print("=== Intake Submission Test Interface (image-aware) ===")
+    print("Enter test message. For image data, pipe-delimit: msg | ocr:TEXT | labels:a,b,c | notes:TEXT | flags:a,b")
+    print("Ctrl+C to exit.\n")
+
+    try:
+        while True:
+            try:
+                line = input("test-user> ").strip()
+            except (EOFError, KeyboardInterrupt):
+                break
+            if not line:
+                continue
+
+            msg = line
+            ocr = ""
+            labels_list = None
+            notes = ""
+            flags = None
+            if "|" in line:
+                parts = line.split("|")
+                msg = parts[0].strip()
+                for p in parts[1:]:
+                    p = p.strip()
+                    if p.startswith("ocr:"):
+                        ocr = p[4:].strip()
+                    elif p.startswith("labels:"):
+                        labels_list = [lbl.strip() for lbl in p[7:].split(",") if lbl.strip()]
+                    elif p.startswith("notes:"):
+                        notes = p[6:].strip()
+                    elif p.startswith("flags:"):
+                        flags = [f.strip() for f in p[6:].split(",") if f.strip()]
+
+            result = handle_intake_submission(
+                msg,
+                test=True,
+                ocr_text=ocr,
+                labels=labels_list,
+                manual_notes=notes,
+                visual_flags=flags,
+            )
+            print(f"\n  Level : {result.crisis_level}")
+            print(f"  Score : {result.score}")
+            print(f"  Timmy : {result.timmy_message}")
+            print(f"  Overlay: {result.show_overlay}")
+            print()
+    except (EOFError, KeyboardInterrupt):
+        print("\nDone.")
+
+
+if __name__ == "__main__":
+    _interactive()

crisis/metrics.py

@@ -1,166 +1,244 @@
-"""Privacy-preserving crisis analytics metrics for the-door.
+"""
+crisis/metrics.py — Aggregate crisis detection metrics.
 
-Stores only timestamps, crisis levels, indicator categories, and operator
-feedback flags. No raw message text or PII is persisted.
+Tracks session-level crisis data for aggregate reporting.
+Privacy-first: stores only aggregate counts, never user content.
+
+Usage:
+    from crisis.metrics import CrisisMetrics
+    
+    metrics = CrisisMetrics()
+    metrics.record_session(tracker.state)
+    summary = metrics.get_summary()
 """
 
-from __future__ import annotations
-
-import argparse
 import json
+import os
 import time
-from collections import Counter
+from dataclasses import dataclass, field, asdict
+from datetime import datetime, timedelta
 from pathlib import Path
-from typing import Iterable
+from typing import Dict, List, Optional
 
-from .detect import CrisisDetectionResult, detect_crisis
-
-LEVELS = ("NONE", "LOW", "MEDIUM", "HIGH", "CRITICAL")
+METRICS_DIR = Path.home() / ".the-door" / "metrics"
 
 
-def normalize_indicator(indicator: str) -> str:
-    """Return a stable privacy-safe keyword/category identifier."""
-    return indicator
+@dataclass
+class SessionMetrics:
+    """Metrics from a single crisis session."""
+    timestamp: float
+    current_level: str
+    peak_level: str
+    message_count: int
+    was_escalating: bool
+    was_deescalating: bool
+    escalation_rate: float
+    triggered_overlay: bool = False
+    showed_988: bool = False
 
 
-def build_metrics_event(
-    detection: CrisisDetectionResult,
-    *,
-    continued_conversation: bool = False,
-    false_positive: bool = False,
-    now: float | None = None,
-) -> dict:
-    timestamp = float(time.time() if now is None else now)
-    indicators = [normalize_indicator(indicator) for indicator in detection.indicators]
-    return {
-        "timestamp": timestamp,
-        "level": detection.level,
-        "indicator_count": len(indicators),
-        "indicators": indicators,
-        "continued_conversation": bool(continued_conversation),
-        "false_positive": bool(false_positive),
-    }
+@dataclass
+class AggregateMetrics:
+    """Aggregate metrics across sessions."""
+    total_sessions: int = 0
+    total_messages: int = 0
+    
+    # Level distribution
+    level_counts: Dict[str, int] = field(default_factory=lambda: {
+        "NONE": 0, "LOW": 0, "MEDIUM": 0, "HIGH": 0, "CRITICAL": 0
+    })
+    
+    # Escalation tracking
+    escalating_sessions: int = 0
+    deescalating_sessions: int = 0
+    
+    # Safety interventions
+    overlay_triggers: int = 0
+    ninety_eight_show: int = 0
+    
+    # Time window
+    period_start: Optional[float] = None
+    period_end: Optional[float] = None
 
 
-def append_metrics_event(
-    log_path: str | Path,
-    detection: CrisisDetectionResult,
-    *,
-    continued_conversation: bool = False,
-    false_positive: bool = False,
-    now: float | None = None,
-) -> dict:
-    event = build_metrics_event(
-        detection,
-        continued_conversation=continued_conversation,
-        false_positive=false_positive,
-        now=now,
-    )
-    path = Path(log_path)
-    path.parent.mkdir(parents=True, exist_ok=True)
-    with path.open("a", encoding="utf-8") as handle:
-        handle.write(json.dumps(event) + "\n")
-    return event
+class CrisisMetrics:
+    """
+    Aggregate crisis metrics with local JSON persistence.
+    
+    Privacy-first: stores only aggregate counts per day.
+    Never stores user messages, content, or identifying info.
+    """
+    
+    def __init__(self, metrics_dir: Optional[Path] = None):
+        self.metrics_dir = metrics_dir or METRICS_DIR
+        self.metrics_dir.mkdir(parents=True, exist_ok=True)
+        self._buffer: List[SessionMetrics] = []
+    
+    def record_session(self, session_state, triggered_overlay: bool = False,
+                       showed_988: bool = False):
+        """Record a session's metrics."""
+        from .session_tracker import SessionState
+        
+        if isinstance(session_state, SessionState):
+            sm = SessionMetrics(
+                timestamp=time.time(),
+                current_level=session_state.current_level,
+                peak_level=session_state.peak_level,
+                message_count=session_state.message_count,
+                was_escalating=session_state.is_escalating,
+                was_deescalating=session_state.is_deescalating,
+                escalation_rate=session_state.escalation_rate,
+                triggered_overlay=triggered_overlay,
+                showed_988=showed_988,
+            )
+        else:
+            sm = session_state
+        
+        self._buffer.append(sm)
+        self._flush()
+    
+    def _flush(self):
+        """Write buffered sessions to daily file."""
+        if not self._buffer:
+            return
+        
+        today = datetime.utcnow().strftime("%Y-%m-%d")
+        filepath = self.metrics_dir / f"{today}.jsonl"
+        
+        with open(filepath, 'a') as f:
+            for sm in self._buffer:
+                f.write(json.dumps(asdict(sm)) + '\n')
+        
+        self._buffer.clear()
+    
+    def _load_day(self, date_str: str) -> List[SessionMetrics]:
+        """Load sessions for a specific day."""
+        filepath = self.metrics_dir / f"{date_str}.jsonl"
+        if not filepath.exists():
+            return []
+        
+        sessions = []
+        with open(filepath) as f:
+            for line in f:
+                if line.strip():
+                    data = json.loads(line)
+                    sessions.append(SessionMetrics(**data))
+        return sessions
+    
+    def get_summary(self, days: int = 7) -> AggregateMetrics:
+        """Get aggregate metrics for the last N days."""
+        agg = AggregateMetrics()
+        
+        now = datetime.utcnow()
+        for i in range(days):
+            date = (now - timedelta(days=i)).strftime("%Y-%m-%d")
+            sessions = self._load_day(date)
+            
+            for sm in sessions:
+                agg.total_sessions += 1
+                agg.total_messages += sm.message_count
+                
+                # Level counts (use peak level)
+                level = sm.peak_level
+                agg.level_counts[level] = agg.level_counts.get(level, 0) + 1
+                
+                if sm.was_escalating:
+                    agg.escalating_sessions += 1
+                if sm.was_deescalating:
+                    agg.deescalating_sessions += 1
+                if sm.triggered_overlay:
+                    agg.overlay_triggers += 1
+                if sm.showed_988:
+                    agg.ninety_eight_show += 1
+                
+                # Time window
+                if agg.period_start is None or sm.timestamp < agg.period_start:
+                    agg.period_start = sm.timestamp
+                if agg.period_end is None or sm.timestamp > agg.period_end:
+                    agg.period_end = sm.timestamp
+        
+        return agg
+    
+    def get_report(self, days: int = 7) -> str:
+        """Generate human-readable metrics report."""
+        agg = self.get_summary(days)
+        
+        lines = []
+        lines.append("=" * 50)
+        lines.append("  CRISIS METRICS REPORT")
+        lines.append(f"  Last {days} days")
+        if agg.period_start:
+            start = datetime.fromtimestamp(agg.period_start).strftime("%Y-%m-%d %H:%M")
+            lines.append(f"  Period: {start} → now")
+        lines.append("=" * 50)
+        
+        lines.append(f"\n  Sessions:           {agg.total_sessions}")
+        lines.append(f"  Messages tracked:   {agg.total_messages}")
+        
+        lines.append(f"\n  Level Distribution (by peak):")
+        for level in ["NONE", "LOW", "MEDIUM", "HIGH", "CRITICAL"]:
+            count = agg.level_counts.get(level, 0)
+            pct = (count / agg.total_sessions * 100) if agg.total_sessions > 0 else 0
+            bar = "█" * int(pct / 5)
+            lines.append(f"    {level:<10} {count:>5} ({pct:>5.1f}%) {bar}")
+        
+        lines.append(f"\n  Escalations:        {agg.escalating_sessions}")
+        lines.append(f"  De-escalations:     {agg.deescalating_sessions}")
+        lines.append(f"  Overlay triggers:   {agg.overlay_triggers}")
+        lines.append(f"  988 shown:          {agg.ninety_eight_show}")
+        
+        if agg.total_sessions > 0:
+            escalation_rate = agg.escalating_sessions / agg.total_sessions * 100
+            lines.append(f"\n  Escalation rate:    {escalation_rate:.1f}%")
+        
+        lines.append("=" * 50)
+        
+        return "\n".join(lines)
+    
+    def get_json(self, days: int = 7) -> str:
+        """Export metrics as JSON."""
+        agg = self.get_summary(days)
+        return json.dumps(asdict(agg), indent=2)
 
 
-def load_metrics_events(log_path: str | Path) -> list[dict]:
-    path = Path(log_path)
-    if not path.exists():
-        return []
-    events = []
-    for line in path.read_text(encoding="utf-8").splitlines():
-        if not line.strip():
-            continue
-        events.append(json.loads(line))
-    return events
-
-
-def build_weekly_summary(
-    events: Iterable[dict],
-    *,
-    now: float | None = None,
-    window_days: int = 7,
-) -> dict:
-    current_time = float(time.time() if now is None else now)
-    cutoff = current_time - (window_days * 86400)
-    filtered = [event for event in events if float(event.get("timestamp", 0)) >= cutoff]
-
-    detections_per_level = {level: 0 for level in LEVELS}
-    keyword_counts: Counter[str] = Counter()
-    detections = []
-    continued_after_intervention = 0
-
-    for event in filtered:
-        level = event.get("level", "NONE")
-        detections_per_level[level] = detections_per_level.get(level, 0) + 1
-        keyword_counts.update(event.get("indicators", []))
-        if level != "NONE":
-            detections.append(event)
-            if event.get("continued_conversation"):
-                continued_after_intervention += 1
-
-    false_positive_count = sum(1 for event in detections if event.get("false_positive"))
-    false_positive_estimate = (
-        false_positive_count / len(detections) if detections else 0.0
-    )
-
-    return {
-        "window_days": window_days,
-        "total_events": len(filtered),
-        "detections_per_level": detections_per_level,
-        "most_common_keywords": [
-            {"keyword": keyword, "count": count}
-            for keyword, count in keyword_counts.most_common(10)
-        ],
-        "false_positive_estimate": false_positive_estimate,
-        "continued_after_intervention": continued_after_intervention,
-    }
-
-
-def render_weekly_summary(summary: dict) -> str:
-    return json.dumps(summary, indent=2)
-
-
-def write_weekly_summary(path: str | Path, summary: dict) -> Path:
-    output_path = Path(path)
-    output_path.parent.mkdir(parents=True, exist_ok=True)
-    output_path.write_text(render_weekly_summary(summary) + "\n", encoding="utf-8")
-    return output_path
-
-
-def record_text_event(
-    text: str,
-    log_path: str | Path,
-    *,
-    continued_conversation: bool = False,
-    false_positive: bool = False,
-    now: float | None = None,
-) -> dict:
-    detection = detect_crisis(text)
-    return append_metrics_event(
-        log_path,
-        detection,
-        continued_conversation=continued_conversation,
-        false_positive=false_positive,
-        now=now,
-    )
-
-
-def main(argv: list[str] | None = None) -> int:
-    parser = argparse.ArgumentParser(description="Privacy-preserving crisis metrics summary")
-    parser.add_argument("--log-path", required=True, help="JSONL event log path")
-    parser.add_argument("--days", type=int, default=7, help="Summary window in days")
-    parser.add_argument("--output", help="Optional file to write summary JSON")
-    args = parser.parse_args(argv)
-
-    events = load_metrics_events(args.log_path)
-    summary = build_weekly_summary(events, window_days=args.days)
-    rendered = render_weekly_summary(summary)
-    print(rendered)
-    if args.output:
-        write_weekly_summary(args.output, summary)
-    return 0
+def main():
+    """CLI entry point for crisis metrics."""
+    import argparse
+    
+    parser = argparse.ArgumentParser(description="Crisis Detection Metrics")
+    parser.add_argument("--summary", action="store_true", help="Show summary report")
+    parser.add_argument("--json", action="store_true", help="JSON export")
+    parser.add_argument("--days", type=int, default=7, help="Days to include")
+    parser.add_argument("--demo", action="store_true", help="Generate demo data")
+    args = parser.parse_args()
+    
+    metrics = CrisisMetrics()
+    
+    if args.demo:
+        import random
+        levels = ["NONE", "LOW", "MEDIUM", "HIGH", "CRITICAL"]
+        for i in range(50):
+            from .session_tracker import SessionState
+            state = SessionState(
+                current_level=random.choice(levels),
+                peak_level=random.choice(levels),
+                message_count=random.randint(1, 20),
+                is_escalating=random.random() > 0.7,
+                is_deescalating=random.random() > 0.8,
+                escalation_rate=random.random(),
+            )
+            metrics.record_session(
+                state,
+                triggered_overlay=random.random() > 0.8,
+                showed_988=random.random() > 0.7,
+            )
+        print("Generated 50 demo sessions.")
+    
+    if args.json:
+        print(metrics.get_json(args.days))
+    else:
+        print(metrics.get_report(args.days))
 
 
 if __name__ == "__main__":
-    raise SystemExit(main())
+    main()

crisis/response.py

@@ -12,6 +12,18 @@ from typing import Optional
 
 from .detect import CrisisDetectionResult, detect_crisis
 
+# Wire crisis_synthesizer into responder pipeline (DOOR-2)
+from evolution.crisis_synthesizer import append_interaction_event, DEFAULT_LOG_PATH
+
+# Response type labels for synthesizer logging
+LEVEL_TO_RESPONSE = {
+    "CRITICAL": "guardian",
+    "HIGH": "companion",
+    "MEDIUM": "witness",
+    "LOW": "friend",
+    "NONE": "friend",
+}
+
 
 @dataclass
 class CrisisResponse:
@@ -134,6 +146,15 @@ def generate_response(detection: CrisisDetectionResult) -> CrisisResponse:
     level = detection.level
 
     if level == "CRITICAL":
+        # Log interaction via crisis_synthesizer
+        append_interaction_event(
+            DEFAULT_LOG_PATH,
+            level=level,
+            indicators=detection.indicators,
+            response_given=LEVEL_TO_RESPONSE[level],
+            continued_conversation=False,
+            false_positive=False,
+        )
         return CrisisResponse(
             timmy_message=random.choice(TIMMY_CRITICAL),
             show_crisis_panel=True,
@@ -143,6 +164,15 @@ def generate_response(detection: CrisisDetectionResult) -> CrisisResponse:
         )
 
     if level == "HIGH":
+        # Log interaction via crisis_synthesizer
+        append_interaction_event(
+            DEFAULT_LOG_PATH,
+            level=level,
+            indicators=detection.indicators,
+            response_given=LEVEL_TO_RESPONSE[level],
+            continued_conversation=False,
+            false_positive=False,
+        )
         return CrisisResponse(
             timmy_message=random.choice(TIMMY_HIGH),
             show_crisis_panel=True,
@@ -152,6 +182,15 @@ def generate_response(detection: CrisisDetectionResult) -> CrisisResponse:
         )
 
     if level == "MEDIUM":
+        # Log interaction via crisis_synthesizer
+        append_interaction_event(
+            DEFAULT_LOG_PATH,
+            level=level,
+            indicators=detection.indicators,
+            response_given=LEVEL_TO_RESPONSE[level],
+            continued_conversation=False,
+            false_positive=False,
+        )
         return CrisisResponse(
             timmy_message=random.choice(TIMMY_MEDIUM),
             show_crisis_panel=False,
@@ -161,6 +200,15 @@ def generate_response(detection: CrisisDetectionResult) -> CrisisResponse:
         )
 
     if level == "LOW":
+        # Log interaction via crisis_synthesizer
+        append_interaction_event(
+            DEFAULT_LOG_PATH,
+            level=level,
+            indicators=detection.indicators,
+            response_given=LEVEL_TO_RESPONSE[level],
+            continued_conversation=False,
+            false_positive=False,
+        )
         return CrisisResponse(
             timmy_message=random.choice(TIMMY_LOW),
             show_crisis_panel=False,
@@ -170,6 +218,15 @@ def generate_response(detection: CrisisDetectionResult) -> CrisisResponse:
         )
 
     # Normal conversation - no crisis response
+    # Still log for completeness (NONE level)
+    append_interaction_event(
+        DEFAULT_LOG_PATH,
+        level=level,
+        indicators=detection.indicators,
+        response_given=LEVEL_TO_RESPONSE[level],
+        continued_conversation=False,
+        false_positive=False,
+    )
     return CrisisResponse(
         timmy_message="",
         show_crisis_panel=False,

crisis/tests_intake.py

@@ -0,0 +1,166 @@
+"""
+Tests for crisis.intake — intake submission handling for test users.
+
+Run with: python -m pytest crisis/tests_intake.py -v
+or: python -m crisis.intake
+"""
+
+import unittest
+import sys
+import os
+
+# Ensure project root is on path
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+from crisis.intake import handle_intake_submission, IntakeResult, _log_test_intake
+from crisis.detect import detect_crisis
+import json
+import tempfile
+from pathlib import Path
+
+
+class TestIntakeSubmission(unittest.TestCase):
+    """Test intake submission handling."""
+
+    def test_handle_intake_submission_basic(self):
+        """handle_intake_submission returns IntakeResult with crisis data."""
+        result = handle_intake_submission("This is a test message", test=True)
+        self.assertIsInstance(result, IntakeResult)
+        self.assertEqual(result.is_test, True)
+        self.assertIn(result.crisis_level, ("NONE", "LOW", "MEDIUM", "HIGH", "CRITICAL"))
+        self.assertIsInstance(result.score, float)
+        self.assertIsInstance(result.timmy_message, str)
+
+    def test_intake_test_message_no_crisis(self):
+        """Test message 'This is a test message' should not trigger crisis."""
+        result = handle_intake_submission("This is a test message", test=True)
+        self.assertEqual(result.crisis_level, "NONE")
+        self.assertEqual(result.score, 0.0)
+        self.assertEqual(result.timmy_message, "")
+
+    def test_intake_crisis_message(self):
+        """Intake handling still detects crisis messages."""
+        result = handle_intake_submission("I want to kill myself", test=True)
+        self.assertEqual(result.crisis_level, "CRITICAL")
+        self.assertEqual(result.score, 1.0)
+        self.assertTrue(result.show_overlay)
+        self.assertTrue(result.provide_988)
+        # CRITICAL messages include a call to 988 somewhere (either in message or via provide_988)
+        self.assertTrue("988" in result.timmy_message or result.provide_988)
+
+    def test_intake_non_test_mode(self):
+        """Non-test mode still works (is_test=False)."""
+        result = handle_intake_submission("Hello there", test=False)
+        self.assertEqual(result.is_test, False)
+        self.assertEqual(result.crisis_level, "NONE")
+
+    def test_intake_with_session_id(self):
+        """Session ID is preserved in result."""
+        result = handle_intake_submission("Test", test=True, session_id="sess-123")
+        self.assertEqual(result.session_id, "sess-123")
+
+    def test_log_test_intake_creates_file(self):
+        """_log_test_intake writes to a file."""
+        with tempfile.TemporaryDirectory() as tmpdir:
+            # Patch the metrics dir
+            import crisis.intake as intake_mod
+            original_dir = intake_mod._INTAKE_METRICS_DIR
+            try:
+                intake_mod._INTAKE_METRICS_DIR = Path(tmpdir) / "intake-metrics"
+                detection = detect_crisis("Hello test")
+                _log_test_intake(detection, "Test message content")
+                # Check file was created
+                files = list(Path(tmpdir).glob("**/*.jsonl"))
+                self.assertTrue(len(files) > 0)
+                # Verify content
+                with open(files[0]) as f:
+                    line = f.readline()
+                    record = json.loads(line)
+                    self.assertIn("timestamp", record)
+                    self.assertIn("level", record)
+                    self.assertEqual(record["message_preview"], "Test message content")
+            finally:
+                intake_mod._INTAKE_METRICS_DIR = original_dir
+
+
+class TestIntakeIntegration(unittest.TestCase):
+    """Integration tests for intake with crisis system."""
+
+    def test_intake_end_to_end(self):
+        """Full intake flow for test message."""
+        result = handle_intake_submission("This is a test message", test=True)
+        self.assertEqual(result.crisis_level, "NONE")
+        self.assertFalse(result.show_overlay)
+
+    def test_intake_crisis_flow(self):
+        """Intake detects and escalates crisis messages."""
+        crisis_msgs = [
+            "I want to die",
+            "I feel hopeless",
+            "I'm going to kill myself",
+        ]
+        for msg in crisis_msgs:
+            result = handle_intake_submission(msg, test=True)
+            self.assertIn(result.crisis_level, ("HIGH", "CRITICAL"),
+                          f"Message '{msg}' should be crisis")
+            self.assertTrue(result.provide_988)
+
+
+if __name__ == "__main__":
+    unittest.main()
+
+
+class TestIntakeImageSubmissions(unittest.TestCase):
+    """Test intake submissions with image screening data."""
+
+    def test_intake_with_ocr_crisis(self):
+        """OCR text containing crisis indicators triggers CRITICAL."""
+        result = handle_intake_submission(
+            "Here's a picture", ocr_text="I want to kill myself", test=True
+        )
+        self.assertEqual(result.crisis_level, "CRITICAL")
+        self.assertEqual(result.score, 1.0)
+        self.assertTrue(result.show_overlay)
+        self.assertTrue(result.provide_988)
+
+    def test_intake_with_self_harm_labels(self):
+        """Self-harm labels raise crisis level to HIGH."""
+        result = handle_intake_submission(
+            "Just a photo", labels=["blood", "blade", "scissors"], test=True
+        )
+        self.assertGreaterEqual(result.score, 0.85)
+        self.assertEqual(result.crisis_level, "HIGH")
+        self.assertFalse(result.show_overlay)  # overlay only for CRITICAL
+        self.assertTrue(result.provide_988)
+
+    def test_intake_image_neutral(self):
+        """Neutral image labels/notes do not raise crisis."""
+        result = handle_intake_submission(
+            "Happy picture",
+            labels=["dog", "park"],
+            manual_notes="family outing in daylight",
+            test=True,
+        )
+        self.assertLess(result.score, 0.2)
+        self.assertEqual(result.crisis_level, "NONE")
+        self.assertFalse(result.show_overlay)
+        self.assertFalse(result.provide_988)
+
+    def test_intake_image_plus_low_text(self):
+        """Image crisis overrides low text crisis."""
+        result = handle_intake_submission(
+            "I'm fine", ocr_text="I feel hopeless and want to die", test=True
+        )
+        self.assertEqual(result.crisis_level, "CRITICAL")
+
+    def test_intake_multiple_image_signals_combined(self):
+        """Combined image signals and text are aggregated."""
+        result = handle_intake_submission(
+            "Not great",
+            ocr_text="I can't go on",
+            labels=["dark room"],
+            manual_notes="person sitting on bathroom floor",
+            test=True,
+        )
+        self.assertGreater(result.score, 0.0)
+        self.assertIn(result.crisis_level, ("MEDIUM", "HIGH", "CRITICAL"))

crisis/tracker.py

@@ -0,0 +1,19 @@
+"""Compatibility bridge for crisis session tracking.
+
+Issue #141 describes the shared the-door tracker surface as `crisis.tracker`.
+The canonical implementation lives in `crisis.session_tracker`, but hermes-agent
+integration should be able to import the shorter path without caring about
+internal file layout.
+"""
+
+from .session_tracker import (
+    CrisisSessionTracker,
+    SessionState,
+    check_crisis_with_session,
+)
+
+__all__ = [
+    "CrisisSessionTracker",
+    "SessionState",
+    "check_crisis_with_session",
+]

docs/issue-41-verification.md

@@ -0,0 +1,32 @@
+# Issue #41 Verification
+
+Status: already implemented on main
+
+Issue:
+- #41 [P3] Service worker: cache crisis resources for offline
+
+Acceptance criteria check:
+1. Passed — offline page includes 988 call button, Crisis Text Line, and grounding techniques
+2. Passed — service worker precaches `crisis-offline.html`
+3. Passed — phone number is clickable via `href="tel:988"`
+4. Passed — navigation timeout + offline fallback support intermittent connections
+
+Evidence:
+- `sw.js` precaches `/crisis-offline.html`
+- `sw.js` contains `NAVIGATION_TIMEOUT_MS` and `AbortController`
+- `crisis-offline.html` contains:
+  - `href="tel:988"`
+  - Crisis Text Line / `741741`
+  - grounding prompts for 5-4-3-2-1
+- `tests/test_service_worker_offline.py` already exists on main and passes
+
+Verification run from fresh main clone:
+- `python3 -m pytest tests/test_service_worker_offline.py -q`
+  - `10 passed`
+
+Prior implementation trail:
+- Issue comment already states the core implementation is complete on main
+- Closed PR #122 documented the already-complete implementation and added the offline guarantees test coverage that is now present on main
+
+Recommendation:
+- Close issue #41 as already implemented on main.

evolution/crisis_synthesizer.py

@@ -1 +1,195 @@
-...
+"""Crisis synthesizer — learn from anonymized crisis interactions.
+
+This is deliberately simple and privacy-preserving. It does not train a model or
+modify detection rules automatically. It only logs metadata, summarizes patterns,
+and suggests human-reviewed keyword weight adjustments.
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import time
+from collections import Counter, defaultdict
+from pathlib import Path
+from typing import Iterable
+
+DEFAULT_LOG_PATH = Path.home() / ".the-door" / "crisis-interactions.jsonl"
+LEVELS = ("NONE", "LOW", "MEDIUM", "HIGH", "CRITICAL")
+
+
+def build_interaction_event(
+    level: str,
+    indicators: list[str],
+    response_given: str,
+    continued_conversation: bool,
+    false_positive: bool,
+    *,
+    now: float | None = None,
+) -> dict:
+    return {
+        "timestamp": float(time.time() if now is None else now),
+        "level": level,
+        "indicators": list(indicators),
+        "indicator_count": len(indicators),
+        "response_given": response_given,
+        "continued_conversation": bool(continued_conversation),
+        "false_positive": bool(false_positive),
+    }
+
+
+def append_interaction_event(
+    log_path: str | Path,
+    *,
+    level: str,
+    indicators: list[str],
+    response_given: str,
+    continued_conversation: bool,
+    false_positive: bool,
+    now: float | None = None,
+) -> dict:
+    event = build_interaction_event(
+        level,
+        indicators,
+        response_given,
+        continued_conversation,
+        false_positive,
+        now=now,
+    )
+    path = Path(log_path)
+    path.parent.mkdir(parents=True, exist_ok=True)
+    with path.open("a", encoding="utf-8") as handle:
+        handle.write(json.dumps(event) + "\n")
+    return event
+
+
+def load_interaction_events(log_path: str | Path) -> list[dict]:
+    path = Path(log_path)
+    if not path.exists():
+        return []
+    events = []
+    for line in path.read_text(encoding="utf-8").splitlines():
+        if not line.strip():
+            continue
+        events.append(json.loads(line))
+    return events
+
+
+def summarize_keywords(events: Iterable[dict]) -> list[dict]:
+    counts: Counter[str] = Counter()
+    for event in events:
+        counts.update(event.get("indicators", []))
+    return [{"keyword": keyword, "count": count} for keyword, count in counts.most_common(10)]
+
+
+def suggest_keyword_adjustments(events: Iterable[dict], *, min_observations: int = 5) -> list[dict]:
+    stats: dict[str, dict[str, int]] = defaultdict(lambda: {
+        "observations": 0,
+        "true_positive_count": 0,
+        "false_positive_count": 0,
+        "continued_conversation_count": 0,
+    })
+
+    for event in events:
+        for keyword in event.get("indicators", []):
+            bucket = stats[keyword]
+            bucket["observations"] += 1
+            if event.get("false_positive"):
+                bucket["false_positive_count"] += 1
+            else:
+                bucket["true_positive_count"] += 1
+            if event.get("continued_conversation"):
+                bucket["continued_conversation_count"] += 1
+
+    suggestions = []
+    for keyword, bucket in sorted(stats.items()):
+        if bucket["observations"] < min_observations:
+            continue
+        fp = bucket["false_positive_count"]
+        tp = bucket["true_positive_count"]
+        if fp >= min_observations and tp == 0:
+            adjustment = "lower_weight"
+            rationale = "Observed only false positives across the sample window."
+        elif tp >= min_observations and fp == 0:
+            adjustment = "raise_weight"
+            rationale = "Observed repeated genuine crises with no false positives."
+        else:
+            adjustment = "observe"
+            rationale = "Mixed evidence; keep monitoring before changing weights."
+        suggestions.append(
+            {
+                "keyword": keyword,
+                **bucket,
+                "suggested_adjustment": adjustment,
+                "rationale": rationale,
+            }
+        )
+    return suggestions
+
+
+def build_weekly_report(
+    events: Iterable[dict],
+    *,
+    now: float | None = None,
+    window_days: int = 7,
+    min_observations: int = 3,
+) -> dict:
+    current_time = float(time.time() if now is None else now)
+    cutoff = current_time - (window_days * 86400)
+    filtered = [event for event in events if float(event.get("timestamp", 0)) >= cutoff]
+
+    detections_per_level = {level: 0 for level in LEVELS}
+    detected_events = []
+    continued_after_intervention = 0
+    for event in filtered:
+        level = event.get("level", "NONE")
+        detections_per_level[level] = detections_per_level.get(level, 0) + 1
+        if level != "NONE":
+            detected_events.append(event)
+            if event.get("continued_conversation"):
+                continued_after_intervention += 1
+
+    false_positive_count = sum(1 for event in detected_events if event.get("false_positive"))
+    false_positive_estimate = false_positive_count / len(detected_events) if detected_events else 0.0
+
+    return {
+        "window_days": window_days,
+        "total_events": len(filtered),
+        "detections_per_level": detections_per_level,
+        "most_common_keywords": summarize_keywords(filtered),
+        "false_positive_estimate": false_positive_estimate,
+        "continued_after_intervention": continued_after_intervention,
+        "keyword_weight_suggestions": suggest_keyword_adjustments(filtered, min_observations=min_observations),
+    }
+
+
+def render_weekly_report(summary: dict) -> str:
+    return json.dumps(summary, indent=2)
+
+
+def write_weekly_report(output_path: str | Path, summary: dict) -> Path:
+    path = Path(output_path)
+    path.parent.mkdir(parents=True, exist_ok=True)
+    path.write_text(render_weekly_report(summary) + "\n", encoding="utf-8")
+    return path
+
+
+def main(argv: list[str] | None = None) -> int:
+    parser = argparse.ArgumentParser(description="Summarize anonymized crisis interactions")
+    parser.add_argument("--log-path", default=str(DEFAULT_LOG_PATH), help="JSONL crisis interaction log")
+    parser.add_argument("--days", type=int, default=7, help="Lookback window in days")
+    parser.add_argument("--min-observations", type=int, default=3, help="Minimum observations before suggesting keyword adjustments")
+    parser.add_argument("--output", help="Optional file to write the weekly report JSON")
+    args = parser.parse_args(argv)
+
+    events = load_interaction_events(args.log_path)
+    summary = build_weekly_report(events, window_days=args.days, min_observations=args.min_observations)
+    rendered = render_weekly_report(summary)
+    print(rendered)
+    if args.output:
+        write_weekly_report(args.output, summary)
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

image_screening.py

@@ -0,0 +1,170 @@
+"""
+image_screening.py — local image crisis screening slice for epic #130.
+
+Grounded scope:
+- screens OCR text, upstream object labels, and operator notes for crisis signals
+- intentionally does NOT claim raw computer-vision understanding of pixels
+- designed to plug into future multimodal scoring once a dedicated image model lands
+"""
+
+from __future__ import annotations
+
+from dataclasses import asdict, dataclass, field
+from typing import Iterable, List, Optional
+
+from crisis.detect import detect_crisis
+
+
+DIRECT_SELF_HARM_LABELS = {
+    "blood",
+    "blade",
+    "razor",
+    "knife",
+    "scissors",
+    "noose",
+    "ligature",
+    "hanging",
+    "pills",
+    "pill bottle",
+    "overdose",
+    "gun",
+    "firearm",
+    "rope",
+    "cuts",
+    "self-harm",
+}
+
+INJURY_LABELS = {
+    "wound",
+    "wounds",
+    "bruise",
+    "bruises",
+    "bandage",
+    "bandages",
+    "injury",
+    "injuries",
+    "scar",
+    "scars",
+    "burn",
+    "burns",
+    "bleeding",
+}
+
+HIGH_RISK_SCENE_LABELS = {
+    "bridge edge",
+    "rooftop edge",
+    "train tracks",
+    "ledge",
+    "cliff edge",
+    "dark room",
+    "bathroom floor",
+    "hospital wristband",
+    "suicide note",
+    "goodbye letter",
+}
+
+
+@dataclass
+class ImageScreeningResult:
+    ocr_text: str = ""
+    labels: List[str] = field(default_factory=list)
+    visual_flags: List[str] = field(default_factory=list)
+    distress_score: float = 0.0
+    requires_human_review: bool = False
+    signals_detected: List[str] = field(default_factory=list)
+    grounded_scope: str = (
+        "heuristic screening over OCR text, upstream labels, and operator notes; "
+        "raw vision-model inference is not implemented in this slice"
+    )
+
+    def to_dict(self) -> dict:
+        return asdict(self)
+
+
+def _normalize_items(values: Optional[Iterable[str]]) -> List[str]:
+    if not values:
+        return []
+    normalized = []
+    for value in values:
+        text = str(value).strip().lower()
+        if text:
+            normalized.append(text)
+    return normalized
+
+
+def _match_keywords(haystack: str, keywords: set[str]) -> List[str]:
+    matches = []
+    for keyword in keywords:
+        if keyword in haystack:
+            matches.append(keyword)
+    return sorted(set(matches))
+
+
+def screen_image_signals(
+    image_path: Optional[str] = None,
+    *,
+    ocr_text: str = "",
+    labels: Optional[Iterable[str]] = None,
+    manual_notes: str = "",
+    visual_flags: Optional[Iterable[str]] = None,
+) -> ImageScreeningResult:
+    """
+    Score image-related crisis evidence without pretending to do full CV.
+
+    Inputs are deliberately grounded in what the repo can actually support today:
+    - OCR text extracted upstream from screenshots/photos
+    - object labels supplied by a local model or operator
+    - manual operator notes about visible scene context
+    - optional visual flags from any upstream preprocessor
+    """
+    normalized_labels = _normalize_items(labels)
+    normalized_flags = _normalize_items(visual_flags)
+    normalized_notes = str(manual_notes or "").strip().lower()
+    normalized_ocr = str(ocr_text or "").strip()
+
+    combined_label_text = " ".join(normalized_labels + normalized_flags + ([normalized_notes] if normalized_notes else []))
+    crisis_text = " ".join(part for part in [normalized_ocr, normalized_notes] if part).strip()
+
+    direct_matches = _match_keywords(combined_label_text, DIRECT_SELF_HARM_LABELS)
+    injury_matches = _match_keywords(combined_label_text, INJURY_LABELS)
+    scene_matches = _match_keywords(combined_label_text, HIGH_RISK_SCENE_LABELS)
+    text_detection = detect_crisis(crisis_text) if crisis_text else None
+
+    signals: List[str] = []
+    score = 0.0
+
+    if direct_matches:
+        score = max(score, 0.85)
+        for match in direct_matches:
+            signals.append(f"direct_self_harm_label:{match}")
+
+    if injury_matches:
+        score = max(score, 0.55)
+        for match in injury_matches:
+            signals.append(f"injury_indicator:{match}")
+
+    if scene_matches:
+        score = max(score, 0.4)
+        for match in scene_matches:
+            signals.append(f"high_risk_scene:{match}")
+
+    if text_detection and text_detection.level != "NONE":
+        score = max(score, min(1.0, text_detection.score))
+        signals.append(f"ocr_crisis_level:{text_detection.level}")
+        for indicator in text_detection.indicators[:3]:
+            signals.append(f"ocr_indicator:{indicator}")
+
+    if direct_matches and text_detection and text_detection.level in {"HIGH", "CRITICAL"}:
+        score = min(1.0, max(score, 0.95))
+        signals.append("cross_modal_confirmation:text_plus_visual")
+
+    requires_human_review = score >= 0.4 or bool(direct_matches)
+
+    return ImageScreeningResult(
+        ocr_text=normalized_ocr,
+        labels=list(normalized_labels),
+        visual_flags=list(normalized_flags),
+        distress_score=round(score, 4),
+        requires_human_review=requires_human_review,
+        signals_detected=signals,
+    )

index.html

@@ -241,6 +241,48 @@ html, body {
   opacity: 0.5;
 }
 
+/* ===== CHAT HEADER ===== */
+#chat-header {
+  flex-shrink: 0;
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 12px;
+  padding: 10px 12px;
+  border-bottom: 1px solid #21262d;
+  background: #11161d;
+}
+
+.chat-header-title {
+  font-size: 0.85rem;
+  color: #8b949e;
+  font-weight: 600;
+  letter-spacing: 0.02em;
+}
+
+#chat-safety-plan-btn {
+  display: inline-flex;
+  align-items: center;
+  gap: 6px;
+  padding: 8px 12px;
+  min-height: 36px;
+  border: 1px solid #30363d;
+  border-radius: 999px;
+  background: transparent;
+  color: #c9d1d9;
+  font-size: 0.8rem;
+  font-weight: 600;
+  cursor: pointer;
+}
+
+#chat-safety-plan-btn:hover,
+#chat-safety-plan-btn:focus {
+  border-color: #58a6ff;
+  background: rgba(88, 166, 255, 0.12);
+  outline: 2px solid #58a6ff;
+  outline-offset: 2px;
+}
+
 /* ===== CHAT AREA ===== */
 #chat-area {
   flex: 1;
@@ -649,6 +691,14 @@ html, body {
     </div>
   </div>
 
+  <div id="chat-header">
+    <div class="chat-header-title" aria-hidden="true">Conversation</div>
+    <button id="chat-safety-plan-btn" type="button" aria-label="Open My Safety Plan from chat header">
+      <svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M14 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8z"/><polyline points="14 2 14 8 20 8"/><line x1="16" y1="13" x2="8" y2="13"/><line x1="16" y1="17" x2="8" y2="17"/><polyline points="10 9 9 9 8 9"/></svg>
+      My Safety Plan
+    </button>
+  </div>
+
   <!-- Chat messages -->
   <div id="chat-area" role="log" aria-label="Chat messages" aria-live="polite" tabindex="0">
     <!-- Messages inserted here -->
@@ -681,6 +731,7 @@ html, body {
   <!-- Footer -->
   <footer id="footer">
     <a href="/about.html" aria-label="About The Door">about</a>
+    <button id="crisis-resources-btn" aria-label="Open crisis resources">crisis resources</button>
     <button id="safety-plan-btn" aria-label="Open My Safety Plan">my safety plan</button>
     <button id="clear-chat-btn" aria-label="Clear chat history">clear chat</button>
   </footer>
@@ -811,9 +862,11 @@ Sovereignty and service always.`;
   var overlayCallLink = document.querySelector('.overlay-call');
   var statusDot = document.querySelector('.status-dot');
   var statusText = document.getElementById('status-text');
+  var crisisResourcesBtn = document.getElementById('crisis-resources-btn');
   
   // Safety Plan Elements
   var safetyPlanBtn = document.getElementById('safety-plan-btn');
+  var chatSafetyPlanBtn = document.getElementById('chat-safety-plan-btn');
   var crisisSafetyPlanBtn = document.getElementById('crisis-safety-plan-btn');
   var safetyPlanModal = document.getElementById('safety-plan-modal');
   var closeSafetyPlan = document.getElementById('close-safety-plan');
@@ -826,6 +879,9 @@ Sovereignty and service always.`;
   var isStreaming = false;
   var overlayTimer = null;
   var crisisPanelShown = false;
+  var CRISIS_OVERLAY_COOLDOWN_MS = 10 * 60 * 1000;
+  var CRISIS_OVERLAY_LAST_SHOWN_KEY = 'timmy_crisis_overlay_last_shown_at';
+  var CRISIS_OVERLAY_EVENT_LOG_KEY = 'timmy_crisis_overlay_event_log';
 
   // ===== SERVICE WORKER =====
   if ('serviceWorker' in navigator) {
@@ -853,6 +909,43 @@ Sovereignty and service always.`;
   window.addEventListener('offline', updateOnlineStatus);
   updateOnlineStatus();
 
+  function getLastOverlayShownAt() {
+    try {
+      return parseInt(localStorage.getItem(CRISIS_OVERLAY_LAST_SHOWN_KEY) || '0', 10) || 0;
+    } catch (e) {
+      return 0;
+    }
+  }
+
+  function setLastOverlayShownAt(timestamp) {
+    try {
+      localStorage.setItem(CRISIS_OVERLAY_LAST_SHOWN_KEY, String(timestamp));
+    } catch (e) {}
+  }
+
+  function logCrisisOverlayEvent(type, level) {
+    try {
+      var raw = localStorage.getItem(CRISIS_OVERLAY_EVENT_LOG_KEY);
+      var events = raw ? JSON.parse(raw) : [];
+      if (!Array.isArray(events)) events = [];
+      events.push({ type: type, level: level, at: Date.now() });
+      if (events.length > 20) events = events.slice(events.length - 20);
+      localStorage.setItem(CRISIS_OVERLAY_EVENT_LOG_KEY, JSON.stringify(events));
+    } catch (e) {}
+  }
+
+  function openCrisisResources() {
+    crisisPanelShown = true;
+    crisisPanel.classList.add('visible');
+    if (typeof crisisPanel.scrollIntoView === 'function') {
+      crisisPanel.scrollIntoView({ behavior: 'smooth', block: 'start' });
+    }
+    var firstAction = crisisPanel.querySelector('.crisis-btn, a[href]');
+    if (firstAction && typeof firstAction.focus === 'function') {
+      firstAction.focus();
+    }
+  }
+
   // ===== CRISIS KEYWORDS =====
   // Tier 1: General crisis indicators - triggers enhanced 988 panel
   var crisisKeywords = [
@@ -987,20 +1080,33 @@ Sovereignty and service always.`;
 
   // Focus trap: cycle through focusable elements within the crisis overlay
   function getOverlayFocusableElements() {
-    return crisisOverlay.querySelectorAll(
+    return Array.prototype.slice.call(crisisOverlay.querySelectorAll(
       'a[href], button:not([disabled]), [tabindex]:not([tabindex="-1"])'
-    );
+    ));
   }
 
   function trapFocusInOverlay(e) {
     if (!crisisOverlay.classList.contains('active')) return;
+    if (e.key === 'Escape') {
+      e.preventDefault();
+      closeOverlay(msgInput);
+      return;
+    }
     if (e.key !== 'Tab') return;
 
     var focusable = getOverlayFocusableElements();
     if (focusable.length === 0) return;
+    var focusableArray = focusable;
 
     var first = focusable[0];
     var last = focusable[focusable.length - 1];
+    var activeIndex = focusableArray.indexOf(document.activeElement);
+
+    if (activeIndex === -1) {
+      e.preventDefault();
+      e.shiftKey ? last.focus() : first.focus();
+      return;
+    }
 
     if (e.shiftKey) {
       // Shift+Tab: if on first, wrap to last
@@ -1020,7 +1126,47 @@ Sovereignty and service always.`;
   // Store the element that had focus before the overlay opened
   var _preOverlayFocusElement = null;
 
+  function closeOverlay(restoreFocusTarget) {
+    crisisOverlay.classList.remove('active');
+    if (overlayTimer) {
+      clearInterval(overlayTimer);
+      overlayTimer = null;
+    }
+
+    // Re-enable background interaction
+    var mainApp = document.getElementById('app');
+    if (mainApp) mainApp.removeAttribute('inert');
+    var chatSection = document.getElementById('chat-area');
+    if (chatSection) chatSection.removeAttribute('aria-hidden');
+    var footerEl = document.querySelector('footer');
+    if (footerEl) footerEl.removeAttribute('aria-hidden');
+
+    if (restoreFocusTarget === _preOverlayFocusElement && _preOverlayFocusElement && typeof _preOverlayFocusElement.focus === 'function') {
+      _preOverlayFocusElement.focus();
+    } else if (restoreFocusTarget && typeof restoreFocusTarget.focus === 'function') {
+      restoreFocusTarget.focus();
+    } else if (_preOverlayFocusElement && typeof _preOverlayFocusElement.focus === 'function') {
+      _preOverlayFocusElement.focus();
+    } else {
+      msgInput.focus();
+    }
+    _preOverlayFocusElement = null;
+  }
+
   function showOverlay() {
+    return showOverlayWithRateLimit(false, 2);
+  }
+
+  function showOverlayWithRateLimit(forceOpen, level) {
+    var lastShownAt = getLastOverlayShownAt();
+    if (!forceOpen && Date.now() - lastShownAt < CRISIS_OVERLAY_COOLDOWN_MS) {
+      logCrisisOverlayEvent('suppressed', level || 2);
+      return false;
+    }
+
+    logCrisisOverlayEvent(forceOpen ? 'manual-open' : 'shown', level || 2);
+    setLastOverlayShownAt(Date.now());
+
     // Save current focus for restoration on dismiss
     _preOverlayFocusElement = document.activeElement;
 
@@ -1030,10 +1176,10 @@ Sovereignty and service always.`;
     overlayDismissBtn.textContent = 'Continue to chat (' + countdown + 's)';
 
     // Disable background interaction via inert attribute
-    var mainApp = document.querySelector('.app');
+    var mainApp = document.getElementById('app');
     if (mainApp) mainApp.setAttribute('inert', '');
     // Also hide from assistive tech
-    var chatSection = document.getElementById('chat');
+    var chatSection = document.getElementById('chat-area');
     if (chatSection) chatSection.setAttribute('aria-hidden', 'true');
     var footerEl = document.querySelector('footer');
     if (footerEl) footerEl.setAttribute('aria-hidden', 'true');
@@ -1053,6 +1199,7 @@ Sovereignty and service always.`;
 
     // Focus the Call 988 link (always enabled) — disabled buttons cannot receive focus
     if (overlayCallLink) overlayCallLink.focus();
+    return true;
   }
 
   // Register focus trap on document (always listening, gated by class check)
@@ -1060,27 +1207,7 @@ Sovereignty and service always.`;
 
   overlayDismissBtn.addEventListener('click', function() {
     if (!overlayDismissBtn.disabled) {
-      crisisOverlay.classList.remove('active');
-      if (overlayTimer) {
-        clearInterval(overlayTimer);
-        overlayTimer = null;
-      }
-
-      // Re-enable background interaction
-      var mainApp = document.querySelector('.app');
-      if (mainApp) mainApp.removeAttribute('inert');
-      var chatSection = document.getElementById('chat');
-      if (chatSection) chatSection.removeAttribute('aria-hidden');
-      var footerEl = document.querySelector('footer');
-      if (footerEl) footerEl.removeAttribute('aria-hidden');
-
-      // Restore focus to the element that had it before the overlay opened
-      if (_preOverlayFocusElement && typeof _preOverlayFocusElement.focus === 'function') {
-        _preOverlayFocusElement.focus();
-      } else {
-        msgInput.focus();
-      }
-      _preOverlayFocusElement = null;
+      closeOverlay(_preOverlayFocusElement);
     }
   });
 
@@ -1285,19 +1412,31 @@ Sovereignty and service always.`;
     _spTriggerEl = null;
   }
 
-  // Wire open buttons to activate focus trap
-  safetyPlanBtn.addEventListener('click', function() {
+  function openSafetyPlan(triggerEl) {
     loadSafetyPlan();
     safetyPlanModal.classList.add('active');
-    _activateSafetyPlanFocusTrap(safetyPlanBtn);
+    _activateSafetyPlanFocusTrap(triggerEl || document.activeElement);
+  }
+
+  // Wire open buttons to activate focus trap
+  safetyPlanBtn.addEventListener('click', function() {
+    openSafetyPlan(safetyPlanBtn);
+  });
+
+  chatSafetyPlanBtn.addEventListener('click', function() {
+    openSafetyPlan(chatSafetyPlanBtn);
   });
 
   // Crisis panel safety plan button (if crisis panel is visible)
   if (crisisSafetyPlanBtn) {
     crisisSafetyPlanBtn.addEventListener('click', function() {
-      loadSafetyPlan();
-      safetyPlanModal.classList.add('active');
-      _activateSafetyPlanFocusTrap(crisisSafetyPlanBtn);
+      openSafetyPlan(crisisSafetyPlanBtn);
+    });
+  }
+
+  if (crisisResourcesBtn) {
+    crisisResourcesBtn.addEventListener('click', function() {
+      openCrisisResources();
     });
   }
 
@@ -1444,9 +1583,7 @@ Sovereignty and service always.`;
     // Check for URL params (e.g., ?safetyplan=true for PWA shortcut)
     var urlParams = new URLSearchParams(window.location.search);
     if (urlParams.get('safetyplan') === 'true') {
-      loadSafetyPlan();
-      safetyPlanModal.classList.add('active');
-      _activateSafetyPlanFocusTrap(safetyPlanBtn);
+      openSafetyPlan(chatSafetyPlanBtn || safetyPlanBtn);
       // Clean up URL
       window.history.replaceState({}, document.title, window.location.pathname);
     }

reports/2026-04-17-the-door-fleet-work-orders-audit.md

@@ -0,0 +1,68 @@
+# The Door Fleet Work Orders Audit — issue #75
+
+Generated: 2026-04-17T04:10:14Z
+Source issue: `TRIAGE: The Door - Fleet Work Orders (2026-04-09)`
+
+## Source Snapshot
+
+Issue #75 is a dated triage work-order sheet, not a normal feature request. The durable deliverable is a truth-restored audit of the referenced issue and PR set against live forge state.
+
+## Live Summary
+
+- Referenced issues audited: 10
+- Referenced PRs audited: 14
+- Live repo open issues: 23
+- Live repo open PRs: 0
+- Open referenced issues with current PR coverage: 0
+- Open referenced issues with no current PR coverage: 5
+- Closed referenced issues: 5
+- Closed-unmerged referenced PRs: 14
+
+## Issue Body Drift
+
+- The issue body claimed 13 real issues and 24 open PRs.
+- Live repo state now shows 23 open issues and 0 open PRs.
+- Referenced issues now break down into 5 closed, 0 open_with_current_pr, and 5 open_no_current_pr.
+- Referenced PRs now break down into 0 merged_pr, 0 open_pr, and 14 closed_unmerged_pr.
+
+## Referenced Issue Snapshot
+
+| Issue | State | Classification | Current PR Coverage | Title |
+|---|---|---|---|---|
+| #35 | closed | closed_issue | none | [P0] Session-level crisis tracking and escalation |
+| #67 | closed | closed_issue | none | [P1] Crisis overlay does not trap keyboard focus while active |
+| #69 | closed | closed_issue | none | [P2] Crisis overlay sets initial focus to a disabled button |
+| #65 | closed | closed_issue | none | [P2] Safety plan modal does not trap keyboard focus while open |
+| #37 | open | open_no_current_pr | none | [P1] Analytics dashboard — crisis detection metrics |
+| #36 | open | open_no_current_pr | none | [P1] Build crisis_synthesizer.py — learn from interactions |
+| #40 | closed | closed_issue | none | [P2] Wire dying_detection into main flow or deprecate |
+| #38 | open | open_no_current_pr | none | [P2] Safety plan accessible from chat (not just overlay) |
+| #59 | open | open_no_current_pr | none | [P2] Footer /about link points to a missing route |
+| #41 | open | open_no_current_pr | none | [P3] Service worker: cache crisis resources for offline |
+
+## Referenced PR Snapshot
+
+| PR | State | Merged | Classification | Head | Title |
+|---|---|---|---|---|---|
+| #61 | closed | False | closed_unmerged_pr | burn/37-1776131000 | feat: privacy-preserving crisis detection metrics layer (#37) |
+| #47 | closed | False | closed_unmerged_pr | feat/crisis-synthesizer | feat: Build crisis_synthesizer.py — learn from interactions (#36) |
+| #48 | closed | False | closed_unmerged_pr | burn/20260413-1620-dying-detection-dedup | burn: deprecate dying_detection, consolidate into crisis/detect.py |
+| #50 | closed | False | closed_unmerged_pr | whip/40-1776128804 | fix: deprecate dying_detection and consolidate crisis detection (#40) |
+| #51 | closed | False | closed_unmerged_pr | queue/40-1776129201 | fix: deprecate dying_detection and consolidate crisis detection (#40) |
+| #53 | closed | False | closed_unmerged_pr | q/40-1776129480 | fix: deprecate dying_detection and consolidate crisis detection (#40) |
+| #56 | closed | False | closed_unmerged_pr | triage/40-1776129677 | fix: deprecate dying_detection and consolidate crisis detection (#40) |
+| #58 | closed | False | closed_unmerged_pr | dawn/40-1776130053 | fix: deprecate dying_detection and consolidate crisis detection (#40) |
+| #70 | closed | False | closed_unmerged_pr | am/40-1776166469 | fix: deprecate dying_detection and consolidate crisis detection (#40) |
+| #72 | closed | False | closed_unmerged_pr | am/38-1776166469 | feat: add always-on safety plan access in chat header (#38) |
+| #62 | closed | False | closed_unmerged_pr | burn/59-1776131200 | fix: point footer about link to /about.html (#59) |
+| #71 | closed | False | closed_unmerged_pr | am/41-1776166469 | feat: cache offline crisis resources (refs #41) |
+| #46 | closed | False | closed_unmerged_pr | feat/compassion-router-wiring | feat: wire compassion router into chat flow (closes #34) |
+| #45 | closed | False | closed_unmerged_pr | feat/session-crisis-tracking | feat: Session-level crisis tracking and escalation (#35) |
+
+## Recommended Next Actions
+
+1. Do not trust the original work-order body as live truth; use this audit artifact for current planning.
+2. Re-triage the open_no_current_pr issues individually before dispatching new work, because the old PR references are now stale.
+3. Treat closed_unmerged_pr references as historical attempts, not active review lanes.
+4. If future work orders are needed, generate them from live forge state instead of reusing the 2026-04-09 issue body.
+5. This audit preserves operator memory; it does not claim all referenced work orders are complete.

scripts/fleet_work_orders_audit.py

@@ -0,0 +1,295 @@
+#!/usr/bin/env python3
+from __future__ import annotations
+
+import argparse
+import json
+import os
+import re
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Any
+from urllib.request import Request, urlopen
+
+API_BASE = "https://forge.alexanderwhitestone.com/api/v1"
+ORG = "Timmy_Foundation"
+DEFAULT_TOKEN_PATH = os.path.expanduser("~/.config/gitea/token")
+DEFAULT_OUTPUT = "reports/2026-04-17-the-door-fleet-work-orders-audit.md"
+
+
+def extract_issue_numbers(body: str) -> list[int]:
+    numbers: list[int] = []
+    seen: set[int] = set()
+    for match in re.finditer(r"#(\d+)", body or ""):
+        value = int(match.group(1))
+        if value in seen:
+            continue
+        seen.add(value)
+        numbers.append(value)
+    return numbers
+
+
+def api_get(repo: str, path: str, token: str) -> Any:
+    req = Request(
+        f"{API_BASE}/repos/{ORG}/{repo}{path}",
+        headers={"Authorization": f"token {token}"},
+    )
+    with urlopen(req, timeout=30) as resp:
+        return json.loads(resp.read().decode())
+
+
+def fetch_open_prs(repo: str, token: str) -> list[dict[str, Any]]:
+    prs: list[dict[str, Any]] = []
+    page = 1
+    while True:
+        batch = api_get(repo, f"/pulls?state=open&limit=100&page={page}", token)
+        if not batch:
+            break
+        prs.extend(batch)
+        page += 1
+    return prs
+
+
+def fetch_live_open_issue_count(repo: str, token: str) -> int:
+    total = 0
+    page = 1
+    while True:
+        batch = api_get(repo, f"/issues?state=open&limit=100&page={page}", token)
+        if not batch:
+            break
+        total += sum(1 for item in batch if not item.get("pull_request"))
+        page += 1
+    return total
+
+
+def parse_claimed_summary(body: str) -> tuple[int | None, int | None]:
+    issue_match = re.search(r"has\s+(\d+)\s+real issues", body or "", flags=re.IGNORECASE)
+    pr_match = re.search(r"and\s+(\d+)\s+open PRs", body or "", flags=re.IGNORECASE)
+    claimed_open_issues = int(issue_match.group(1)) if issue_match else None
+    claimed_open_prs = int(pr_match.group(1)) if pr_match else None
+    return claimed_open_issues, claimed_open_prs
+
+
+def summarize_open_pr_coverage(issue_num: int, open_prs: list[dict[str, Any]]) -> str:
+    matches: list[str] = []
+    seen: set[int] = set()
+    for pr in open_prs:
+        pr_num = pr["number"]
+        if pr_num in seen:
+            continue
+        text = "\n".join(
+            [
+                pr.get("title") or "",
+                pr.get("body") or "",
+                (pr.get("head") or {}).get("ref") or "",
+            ]
+        )
+        if f"#{issue_num}" not in text:
+            continue
+        seen.add(pr_num)
+        matches.append(f"open PR #{pr_num}")
+    return ", ".join(matches) if matches else "none"
+
+
+def classify_issue_reference(ref_issue: dict[str, Any], open_prs: list[dict[str, Any]]) -> dict[str, Any]:
+    issue_num = ref_issue["number"]
+    state = ref_issue.get("state") or "unknown"
+    coverage = summarize_open_pr_coverage(issue_num, open_prs)
+    if state == "closed":
+        classification = "closed_issue"
+    elif coverage != "none":
+        classification = "open_with_current_pr"
+    else:
+        classification = "open_no_current_pr"
+    return {
+        "number": issue_num,
+        "state": state,
+        "classification": classification,
+        "title": ref_issue.get("title") or "",
+        "current_pr_coverage": coverage,
+        "url": ref_issue.get("html_url") or ref_issue.get("url") or "",
+    }
+
+
+def classify_pr_reference(repo: str, pr_num: int, token: str) -> dict[str, Any]:
+    pr = api_get(repo, f"/pulls/{pr_num}", token)
+    state = pr.get("state") or "unknown"
+    merged = bool(pr.get("merged"))
+    if merged:
+        classification = "merged_pr"
+    elif state == "open":
+        classification = "open_pr"
+    else:
+        classification = "closed_unmerged_pr"
+    return {
+        "number": pr_num,
+        "state": state,
+        "merged": merged,
+        "classification": classification,
+        "title": pr.get("title") or "",
+        "head": (pr.get("head") or {}).get("ref") or "",
+        "url": pr.get("html_url") or pr.get("url") or "",
+    }
+
+
+def table(rows: list[dict[str, Any]], columns: list[tuple[str, str]]) -> str:
+    headers = [title for title, _ in columns]
+    keys = [key for _, key in columns]
+    if not rows:
+        return "| None |\n|---|\n| None |"
+    lines = ["| " + " | ".join(headers) + " |", "|" + "|".join(["---"] * len(headers)) + "|"]
+    for row in rows:
+        values: list[str] = []
+        for key in keys:
+            value = row.get(key, "")
+            if key == "number" and value != "":
+                value = f"#{value}"
+            values.append(str(value).replace("\n", " "))
+        lines.append("| " + " | ".join(values) + " |")
+    return "\n".join(lines)
+
+
+def render_report(
+    *,
+    source_issue: int,
+    source_title: str,
+    generated_at: str,
+    claimed_open_issues: int | None,
+    claimed_open_prs: int | None,
+    live_open_issues: int,
+    live_open_prs: int,
+    issue_rows: list[dict[str, Any]],
+    pr_rows: list[dict[str, Any]],
+) -> str:
+    open_with_current_pr = [row for row in issue_rows if row["classification"] == "open_with_current_pr"]
+    open_no_current_pr = [row for row in issue_rows if row["classification"] == "open_no_current_pr"]
+    closed_issues = [row for row in issue_rows if row["classification"] == "closed_issue"]
+    merged_prs = [row for row in pr_rows if row["classification"] == "merged_pr"]
+    open_pr_refs = [row for row in pr_rows if row["classification"] == "open_pr"]
+    closed_unmerged_prs = [row for row in pr_rows if row["classification"] == "closed_unmerged_pr"]
+
+    drift_lines = [
+        f"- The issue body claimed {claimed_open_issues if claimed_open_issues is not None else 'unknown'} real issues and {claimed_open_prs if claimed_open_prs is not None else 'unknown'} open PRs.",
+        f"- Live repo state now shows {live_open_issues} open issues and {live_open_prs} open PRs.",
+        f"- Referenced issues now break down into {len(closed_issues)} closed, {len(open_with_current_pr)} open_with_current_pr, and {len(open_no_current_pr)} open_no_current_pr.",
+        f"- Referenced PRs now break down into {len(merged_prs)} merged_pr, {len(open_pr_refs)} open_pr, and {len(closed_unmerged_prs)} closed_unmerged_pr.",
+    ]
+
+    return "\n".join(
+        [
+            f"# The Door Fleet Work Orders Audit — issue #{source_issue}",
+            "",
+            f"Generated: {generated_at}",
+            f"Source issue: `{source_title}`",
+            "",
+            "## Source Snapshot",
+            "",
+            "Issue #75 is a dated triage work-order sheet, not a normal feature request. The durable deliverable is a truth-restored audit of the referenced issue and PR set against live forge state.",
+            "",
+            "## Live Summary",
+            "",
+            f"- Referenced issues audited: {len(issue_rows)}",
+            f"- Referenced PRs audited: {len(pr_rows)}",
+            f"- Live repo open issues: {live_open_issues}",
+            f"- Live repo open PRs: {live_open_prs}",
+            f"- Open referenced issues with current PR coverage: {len(open_with_current_pr)}",
+            f"- Open referenced issues with no current PR coverage: {len(open_no_current_pr)}",
+            f"- Closed referenced issues: {len(closed_issues)}",
+            f"- Closed-unmerged referenced PRs: {len(closed_unmerged_prs)}",
+            "",
+            "## Issue Body Drift",
+            "",
+            *drift_lines,
+            "",
+            "## Referenced Issue Snapshot",
+            "",
+            table(
+                issue_rows,
+                [
+                    ("Issue", "number"),
+                    ("State", "state"),
+                    ("Classification", "classification"),
+                    ("Current PR Coverage", "current_pr_coverage"),
+                    ("Title", "title"),
+                ],
+            ),
+            "",
+            "## Referenced PR Snapshot",
+            "",
+            table(
+                pr_rows,
+                [
+                    ("PR", "number"),
+                    ("State", "state"),
+                    ("Merged", "merged"),
+                    ("Classification", "classification"),
+                    ("Head", "head"),
+                    ("Title", "title"),
+                ],
+            ),
+            "",
+            "## Recommended Next Actions",
+            "",
+            "1. Do not trust the original work-order body as live truth; use this audit artifact for current planning.",
+            "2. Re-triage the open_no_current_pr issues individually before dispatching new work, because the old PR references are now stale.",
+            "3. Treat closed_unmerged_pr references as historical attempts, not active review lanes.",
+            "4. If future work orders are needed, generate them from live forge state instead of reusing the 2026-04-09 issue body.",
+            "5. This audit preserves operator memory; it does not claim all referenced work orders are complete.",
+        ]
+    ) + "\n"
+
+
+def build_audit(repo: str, issue_number: int, token: str) -> tuple[dict[str, Any], list[dict[str, Any]], list[dict[str, Any]]]:
+    source_issue = api_get(repo, f"/issues/{issue_number}", token)
+    body = source_issue.get("body") or ""
+    refs = extract_issue_numbers(body)
+    open_prs = fetch_open_prs(repo, token)
+    claimed_open_issues, claimed_open_prs = parse_claimed_summary(body)
+    issue_rows: list[dict[str, Any]] = []
+    pr_rows: list[dict[str, Any]] = []
+    for ref in refs:
+        issue_like = api_get(repo, f"/issues/{ref}", token)
+        if issue_like.get("pull_request"):
+            pr_rows.append(classify_pr_reference(repo, ref, token))
+        else:
+            issue_rows.append(classify_issue_reference(issue_like, open_prs))
+    metadata = {
+        "source_title": source_issue.get("title") or "",
+        "claimed_open_issues": claimed_open_issues,
+        "claimed_open_prs": claimed_open_prs,
+        "live_open_issues": fetch_live_open_issue_count(repo, token),
+        "live_open_prs": len(open_prs),
+    }
+    return metadata, issue_rows, pr_rows
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description="Audit The Door fleet work orders issue against live forge state.")
+    parser.add_argument("--repo", default="the-door")
+    parser.add_argument("--issue", type=int, default=75)
+    parser.add_argument("--token-file", default=DEFAULT_TOKEN_PATH)
+    parser.add_argument("--output", default=DEFAULT_OUTPUT)
+    args = parser.parse_args()
+
+    token = Path(args.token_file).read_text(encoding="utf-8").strip()
+    generated_at = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
+    metadata, issue_rows, pr_rows = build_audit(args.repo, args.issue, token)
+    report = render_report(
+        source_issue=args.issue,
+        source_title=metadata["source_title"],
+        generated_at=generated_at,
+        claimed_open_issues=metadata["claimed_open_issues"],
+        claimed_open_prs=metadata["claimed_open_prs"],
+        live_open_issues=metadata["live_open_issues"],
+        live_open_prs=metadata["live_open_prs"],
+        issue_rows=issue_rows,
+        pr_rows=pr_rows,
+    )
+    output_path = Path(args.output)
+    output_path.parent.mkdir(parents=True, exist_ok=True)
+    output_path.write_text(report, encoding="utf-8")
+    print(output_path)
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

tests/test_crisis_hermes_contract.py

@@ -0,0 +1,26 @@
+"""Regression tests for the crisis integration contract expected by hermes-agent.
+
+Issue #141 names the-door-side shared modules as `crisis.tracker` and
+`crisis.bridge`.  Keep those import paths available even if the canonical
+implementation lives in `session_tracker.py` and `gateway.py`.
+"""
+
+import importlib
+
+
+def test_crisis_tracker_module_exports_session_tracker_contract():
+    tracker = importlib.import_module("crisis.tracker")
+    session_tracker = importlib.import_module("crisis.session_tracker")
+
+    assert tracker.CrisisSessionTracker is session_tracker.CrisisSessionTracker
+    assert tracker.SessionState is session_tracker.SessionState
+    assert tracker.check_crisis_with_session is session_tracker.check_crisis_with_session
+
+
+def test_crisis_bridge_module_exports_gateway_contract():
+    bridge = importlib.import_module("crisis.bridge")
+    gateway = importlib.import_module("crisis.gateway")
+
+    assert bridge.check_crisis is gateway.check_crisis
+    assert bridge.get_system_prompt is gateway.get_system_prompt
+    assert bridge.format_gateway_response is gateway.format_gateway_response

tests/test_crisis_metrics.py

@@ -1,99 +1,117 @@
-"""Tests for privacy-preserving crisis metrics aggregation (issue #37)."""
-
-from __future__ import annotations
+"""
+Tests for crisis/metrics.py — Aggregate crisis metrics.
+"""
 
 import json
 import os
-import pathlib
-import sys
+import shutil
+import tempfile
 import unittest
+from pathlib import Path
 
-sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+import sys
+sys.path.insert(0, str(Path(__file__).parent.parent))
 
-from crisis.detect import detect_crisis
-from crisis.gateway import check_crisis
-from crisis.metrics import (
-    append_metrics_event,
-    build_metrics_event,
-    build_weekly_summary,
-    load_metrics_events,
-    render_weekly_summary,
-)
+from crisis.metrics import CrisisMetrics, SessionMetrics, AggregateMetrics
 
 
-class TestMetricsEvent(unittest.TestCase):
-    def test_event_is_privacy_preserving(self):
-        detection = detect_crisis("I want to kill myself")
-        event = build_metrics_event(
-            detection,
-            continued_conversation=True,
-            false_positive=False,
-            now=1_700_000_000,
+class TestCrisisMetrics(unittest.TestCase):
+    def setUp(self):
+        self.tmpdir = tempfile.mkdtemp()
+        self.metrics = CrisisMetrics(Path(self.tmpdir))
+
+    def tearDown(self):
+        shutil.rmtree(self.tmpdir)
+
+    def test_record_session_creates_file(self):
+        sm = SessionMetrics(
+            timestamp=1700000000,
+            current_level="LOW",
+            peak_level="MEDIUM",
+            message_count=5,
+            was_escalating=True,
+            was_deescalating=False,
+            escalation_rate=0.5,
         )
-        self.assertEqual(event["timestamp"], 1_700_000_000)
-        self.assertEqual(event["level"], "CRITICAL")
-        self.assertTrue(event["continued_conversation"])
-        self.assertFalse(event["false_positive"])
-        self.assertNotIn("text", event)
-        self.assertNotIn("message", event)
-        self.assertGreaterEqual(event["indicator_count"], 1)
-        self.assertTrue(event["indicators"])
+        self.metrics.record_session(sm)
 
+        files = list(Path(self.tmpdir).glob("*.jsonl"))
+        self.assertEqual(len(files), 1)
 
-class TestMetricsLogAndSummary(unittest.TestCase):
-    def test_append_and_load_metrics_events(self):
-        log_path = pathlib.Path(self._testMethodName).with_suffix(".jsonl")
-        try:
-            append_metrics_event(log_path, detect_crisis("I want to die"), now=1_700_000_000)
-            events = load_metrics_events(log_path)
-            self.assertEqual(len(events), 1)
-            self.assertEqual(events[0]["level"], "CRITICAL")
-        finally:
-            if log_path.exists():
-                log_path.unlink()
-
-    def test_weekly_summary_counts_levels_keywords_and_false_positives(self):
-        events = [
-            build_metrics_event(detect_crisis("I want to die"), continued_conversation=True, false_positive=False, now=1_700_000_000),
-            build_metrics_event(detect_crisis("I'm having a rough day"), continued_conversation=False, false_positive=False, now=1_700_000_100),
-            build_metrics_event(detect_crisis("I want to die"), continued_conversation=False, false_positive=True, now=1_700_000_200),
-            build_metrics_event(detect_crisis("Hello there"), continued_conversation=False, false_positive=False, now=1_700_000_300),
-        ]
-        summary = build_weekly_summary(events, now=1_700_000_400, window_days=7)
-
-        self.assertEqual(summary["detections_per_level"]["CRITICAL"], 2)
-        self.assertEqual(summary["detections_per_level"]["LOW"], 1)
-        self.assertEqual(summary["detections_per_level"]["NONE"], 1)
-        self.assertEqual(summary["continued_after_intervention"], 1)
-        self.assertAlmostEqual(summary["false_positive_estimate"], 1 / 3, places=4)
-        self.assertEqual(summary["most_common_keywords"][0]["count"], 2)
-
-    def test_render_weekly_summary_mentions_required_metrics(self):
-        events = [
-            build_metrics_event(detect_crisis("I want to die"), continued_conversation=True, now=1_700_000_000),
-            build_metrics_event(detect_crisis("I feel hopeless with no way out"), false_positive=True, now=1_700_000_100),
-        ]
-        summary = build_weekly_summary(events, now=1_700_000_200, window_days=7)
-        rendered = render_weekly_summary(summary)
-        self.assertIn("detections_per_level", rendered)
-        self.assertIn("most_common_keywords", rendered)
-        self.assertIn("false_positive_estimate", rendered)
-        self.assertIn("continued_after_intervention", rendered)
-
-
-class TestGatewayMetricsIntegration(unittest.TestCase):
-    def test_check_crisis_can_emit_metrics_event(self):
-        result = check_crisis(
-            "I want to die",
-            metrics_log_path=None,
-            continued_conversation=True,
-            false_positive=False,
-            now=1_700_000_000,
+    def test_record_session_writes_jsonl(self):
+        sm = SessionMetrics(
+            timestamp=1700000000,
+            current_level="HIGH",
+            peak_level="CRITICAL",
+            message_count=10,
+            was_escalating=True,
+            was_deescalating=False,
+            escalation_rate=1.0,
+            triggered_overlay=True,
+            showed_988=True,
         )
-        self.assertEqual(result["level"], "CRITICAL")
-        self.assertIn("metrics_event", result)
-        self.assertEqual(result["metrics_event"]["timestamp"], 1_700_000_000)
-        self.assertTrue(result["metrics_event"]["continued_conversation"])
+        self.metrics.record_session(sm)
+
+        files = list(Path(self.tmpdir).glob("*.jsonl"))
+        with open(files[0]) as f:
+            data = json.loads(f.readline())
+        self.assertEqual(data['peak_level'], 'CRITICAL')
+        self.assertTrue(data['triggered_overlay'])
+
+    def test_get_summary_empty(self):
+        agg = self.metrics.get_summary(days=7)
+        self.assertEqual(agg.total_sessions, 0)
+        self.assertEqual(agg.total_messages, 0)
+
+    def test_get_summary_with_data(self):
+        for level in ["LOW", "MEDIUM", "HIGH"]:
+            sm = SessionMetrics(
+                timestamp=1700000000,
+                current_level=level,
+                peak_level=level,
+                message_count=3,
+                was_escalating=level != "LOW",
+                was_deescalating=False,
+                escalation_rate=0.5,
+            )
+            self.metrics.record_session(sm)
+
+        agg = self.metrics.get_summary(days=1)
+        self.assertEqual(agg.total_sessions, 3)
+        self.assertEqual(agg.total_messages, 9)
+        self.assertEqual(agg.escalating_sessions, 2)
+
+    def test_get_report_returns_string(self):
+        sm = SessionMetrics(
+            timestamp=1700000000,
+            current_level="LOW",
+            peak_level="LOW",
+            message_count=5,
+            was_escalating=False,
+            was_deescalating=False,
+            escalation_rate=0.0,
+        )
+        self.metrics.record_session(sm)
+
+        report = self.metrics.get_report(days=1)
+        self.assertIn("CRISIS METRICS REPORT", report)
+        self.assertIn("Sessions:", report)
+
+    def test_get_json_returns_valid(self):
+        sm = SessionMetrics(
+            timestamp=1700000000,
+            current_level="MEDIUM",
+            peak_level="MEDIUM",
+            message_count=3,
+            was_escalating=False,
+            was_deescalating=False,
+            escalation_rate=0.0,
+        )
+        self.metrics.record_session(sm)
+
+        json_str = self.metrics.get_json(days=1)
+        data = json.loads(json_str)
+        self.assertEqual(data['total_sessions'], 1)
 
 
 if __name__ == "__main__":

tests/test_crisis_overlay_keyboard_navigation.py

@@ -0,0 +1,54 @@
+import pathlib
+
+from playwright.sync_api import sync_playwright
+
+
+ROOT = pathlib.Path(__file__).resolve().parents[1]
+INDEX_HTML = ROOT / 'index.html'
+
+
+def test_crisis_overlay_supports_keyboard_only_navigation():
+    with sync_playwright() as p:
+        browser = p.chromium.launch(headless=True)
+        page = browser.new_page()
+        try:
+            page.goto(INDEX_HTML.as_uri())
+            page.evaluate(
+                """
+                () => {
+                  window.fetch = () => Promise.reject(new Error('test fetch blocked'));
+                  window.alert = () => {};
+                }
+                """
+            )
+
+            page.fill('#msg-input', "I'm going to kill myself tonight")
+            page.press('#msg-input', 'Enter')
+            page.wait_for_function("document.getElementById('crisis-overlay').classList.contains('active')")
+
+            assert page.evaluate("document.activeElement.classList.contains('overlay-call')") is True
+
+            page.evaluate(
+                """
+                () => {
+                  const btn = document.getElementById('overlay-dismiss-btn');
+                  btn.disabled = false;
+                  btn.textContent = 'Continue to chat';
+                }
+                """
+            )
+
+            page.keyboard.press('Tab')
+            assert page.evaluate("document.activeElement.id") == 'overlay-dismiss-btn'
+
+            page.keyboard.press('Tab')
+            assert page.evaluate("document.activeElement.classList.contains('overlay-call')") is True
+
+            page.keyboard.press('Shift+Tab')
+            assert page.evaluate("document.activeElement.id") == 'overlay-dismiss-btn'
+
+            page.keyboard.press('Escape')
+            page.wait_for_function("!document.getElementById('crisis-overlay').classList.contains('active')")
+            assert page.evaluate("document.activeElement.id") == 'msg-input'
+        finally:
+            browser.close()

tests/test_crisis_overlay_rate_limit.py

@@ -0,0 +1,53 @@
+import pathlib
+import re
+import unittest
+
+ROOT = pathlib.Path(__file__).resolve().parents[1]
+INDEX_HTML = ROOT / 'index.html'
+
+
+class TestCrisisOverlayRateLimit(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.html = INDEX_HTML.read_text()
+
+    def test_overlay_has_ten_minute_cooldown_constant(self):
+        self.assertRegex(
+            self.html,
+            r"CRISIS_OVERLAY_COOLDOWN_MS\s*=\s*10\s*\*\s*60\s*\*\s*1000",
+            'Expected a 10-minute crisis overlay cooldown constant.',
+        )
+
+    def test_show_overlay_suppresses_repeat_with_logging(self):
+        self.assertRegex(
+            self.html,
+            r"function\s+logCrisisOverlayEvent\s*\(",
+            'Expected a crisis overlay event logger.',
+        )
+        self.assertRegex(
+            self.html,
+            r"if\s*\(!forceOpen\s*&&\s*Date\.now\(\)\s*-\s*lastShownAt\s*<\s*CRISIS_OVERLAY_COOLDOWN_MS\)",
+            'Expected showOverlay to suppress repeated auto-displays inside the cooldown window.',
+        )
+        self.assertRegex(
+            self.html,
+            r"logCrisisOverlayEvent\('suppressed'",
+            'Expected suppressed overlay attempts to be logged.',
+        )
+
+    def test_manual_crisis_resources_button_exists_and_bypasses_cooldown(self):
+        self.assertIn('id="crisis-resources-btn"', self.html)
+        self.assertRegex(
+            self.html,
+            r"function\s+openCrisisResources\s*\(",
+            'Expected a manual crisis resources opener.',
+        )
+        self.assertRegex(
+            self.html,
+            r"crisisResourcesBtn\.addEventListener\('click',\s*function\(\)\s*\{\s*openCrisisResources\(\);",
+            'Expected the footer button to wire into openCrisisResources().',
+        )
+
+
+if __name__ == '__main__':
+    unittest.main()

tests/test_crisis_synthesizer.py

@@ -0,0 +1,111 @@
+"""Tests for evolution/crisis_synthesizer.py (issue #36)."""
+
+from __future__ import annotations
+
+import importlib.util
+import json
+import pathlib
+import sys
+import tempfile
+import unittest
+
+ROOT = pathlib.Path(__file__).resolve().parents[1]
+SCRIPT = ROOT / 'evolution' / 'crisis_synthesizer.py'
+
+spec = importlib.util.spec_from_file_location('crisis_synthesizer', str(SCRIPT))
+mod = importlib.util.module_from_spec(spec)
+sys.modules['crisis_synthesizer'] = mod
+spec.loader.exec_module(mod)
+
+
+class TestCrisisSynthesizerEvent(unittest.TestCase):
+    def test_build_interaction_event_is_privacy_preserving(self):
+        event = mod.build_interaction_event(
+            level='CRITICAL',
+            indicators=['want_to_die', 'no_way_out'],
+            response_given='guardian',
+            continued_conversation=True,
+            false_positive=False,
+            now=1700000000,
+        )
+        self.assertEqual(event['timestamp'], 1700000000)
+        self.assertEqual(event['level'], 'CRITICAL')
+        self.assertEqual(event['response_given'], 'guardian')
+        self.assertTrue(event['continued_conversation'])
+        self.assertFalse(event['false_positive'])
+        self.assertEqual(event['indicators'], ['want_to_die', 'no_way_out'])
+        for forbidden in ['text', 'message', 'content', 'ip', 'session_id', 'user_id']:
+            self.assertNotIn(forbidden, event)
+
+
+class TestCrisisSynthesizerStorage(unittest.TestCase):
+    def test_append_and_load_events_round_trip(self):
+        with tempfile.TemporaryDirectory() as tmp:
+            log_path = pathlib.Path(tmp) / 'crisis-events.jsonl'
+            mod.append_interaction_event(
+                log_path,
+                level='HIGH',
+                indicators=['hopeless'],
+                response_given='companion',
+                continued_conversation=False,
+                false_positive=True,
+                now=1700000100,
+            )
+            events = mod.load_interaction_events(log_path)
+            self.assertEqual(len(events), 1)
+            self.assertEqual(events[0]['level'], 'HIGH')
+            self.assertEqual(events[0]['indicators'], ['hopeless'])
+
+
+class TestCrisisSynthesizerSummary(unittest.TestCase):
+    def test_weekly_report_contains_required_metrics(self):
+        events = [
+            mod.build_interaction_event('CRITICAL', ['want_to_die'], 'guardian', True, False, now=1700000000),
+            mod.build_interaction_event('HIGH', ['hopeless'], 'companion', False, True, now=1700000100),
+            mod.build_interaction_event('LOW', ['rough_day'], 'friend', False, False, now=1700000200),
+            mod.build_interaction_event('CRITICAL', ['want_to_die'], 'guardian', False, False, now=1700000300),
+            mod.build_interaction_event('NONE', [], 'friend', False, False, now=1700000400),
+        ]
+        summary = mod.build_weekly_report(events, now=1700000500, window_days=7)
+        self.assertEqual(summary['detections_per_level']['CRITICAL'], 2)
+        self.assertEqual(summary['detections_per_level']['HIGH'], 1)
+        self.assertEqual(summary['detections_per_level']['LOW'], 1)
+        self.assertEqual(summary['detections_per_level']['NONE'], 1)
+        self.assertEqual(summary['continued_after_intervention'], 1)
+        self.assertAlmostEqual(summary['false_positive_estimate'], 0.25)
+        self.assertEqual(summary['most_common_keywords'][0]['keyword'], 'want_to_die')
+        self.assertEqual(summary['most_common_keywords'][0]['count'], 2)
+
+
+class TestCrisisSynthesizerSuggestions(unittest.TestCase):
+    def test_suggests_weight_adjustments_from_interactions(self):
+        events = []
+        for ts in range(3):
+            events.append(mod.build_interaction_event('CRITICAL', ['want_to_die'], 'guardian', True, False, now=1700000000 + ts))
+        for ts in range(3):
+            events.append(mod.build_interaction_event('LOW', ['rough_day'], 'friend', False, True, now=1700000100 + ts))
+        suggestions = mod.suggest_keyword_adjustments(events, min_observations=3)
+        by_keyword = {s['keyword']: s for s in suggestions}
+        self.assertEqual(by_keyword['want_to_die']['suggested_adjustment'], 'raise_weight')
+        self.assertEqual(by_keyword['rough_day']['suggested_adjustment'], 'lower_weight')
+
+
+class TestCrisisSynthesizerRendering(unittest.TestCase):
+    def test_render_weekly_report_outputs_json(self):
+        summary = {
+            'detections_per_level': {'NONE': 0, 'LOW': 1, 'MEDIUM': 0, 'HIGH': 0, 'CRITICAL': 0},
+            'most_common_keywords': [{'keyword': 'rough_day', 'count': 1}],
+            'false_positive_estimate': 0.0,
+            'continued_after_intervention': 0,
+            'keyword_weight_suggestions': [],
+            'window_days': 7,
+            'total_events': 1,
+        }
+        rendered = mod.render_weekly_report(summary)
+        parsed = json.loads(rendered)
+        self.assertEqual(parsed['window_days'], 7)
+        self.assertEqual(parsed['most_common_keywords'][0]['keyword'], 'rough_day')
+
+
+if __name__ == '__main__':
+    unittest.main()

tests/test_fleet_work_orders_audit.py

@@ -0,0 +1,100 @@
+import importlib.util
+from pathlib import Path
+
+
+ROOT = Path(__file__).resolve().parents[1]
+SCRIPT_PATH = ROOT / "scripts" / "fleet_work_orders_audit.py"
+REPORT_PATH = ROOT / "reports" / "2026-04-17-the-door-fleet-work-orders-audit.md"
+
+
+def _load_module():
+    assert SCRIPT_PATH.exists(), f"missing {SCRIPT_PATH.relative_to(ROOT)}"
+    spec = importlib.util.spec_from_file_location("fleet_work_orders_audit", SCRIPT_PATH)
+    assert spec and spec.loader
+    module = importlib.util.module_from_spec(spec)
+    spec.loader.exec_module(module)
+    return module
+
+
+def test_extract_issue_numbers_preserves_mixed_issue_and_pr_refs() -> None:
+    body = """
+    ## P0 — Session-level crisis tracking (#35)
+    **PR #61 ready.**
+    ## P2 — Wire dying_detection or deprecate (#40)
+    **7 duplicate PRs: #48, #50, #51, #53, #56, #58, #70.**
+    """
+
+    mod = _load_module()
+
+    assert mod.extract_issue_numbers(body) == [35, 61, 40, 48, 50, 51, 53, 56, 58, 70]
+
+
+def test_render_report_calls_out_issue_body_drift() -> None:
+    issue_rows = [
+        {
+            "number": 35,
+            "state": "closed",
+            "classification": "closed_issue",
+            "title": "session tracking",
+            "current_pr_coverage": "none",
+        },
+        {
+            "number": 38,
+            "state": "open",
+            "classification": "open_no_current_pr",
+            "title": "safety plan",
+            "current_pr_coverage": "none",
+        },
+    ]
+    pr_rows = [
+        {
+            "number": 61,
+            "state": "closed",
+            "merged": False,
+            "classification": "closed_unmerged_pr",
+            "title": "metrics layer",
+            "head": "burn/37-123",
+        }
+    ]
+
+    mod = _load_module()
+
+    report = mod.render_report(
+        source_issue=75,
+        source_title="TRIAGE: The Door - Fleet Work Orders (2026-04-09)",
+        generated_at="2026-04-17T04:00:00Z",
+        claimed_open_issues=13,
+        claimed_open_prs=24,
+        live_open_issues=5,
+        live_open_prs=0,
+        issue_rows=issue_rows,
+        pr_rows=pr_rows,
+    )
+
+    assert "## Source Snapshot" in report
+    assert "## Live Summary" in report
+    assert "## Issue Body Drift" in report
+    assert "13" in report and "24" in report
+    assert "#38" in report
+    assert "open_no_current_pr" in report
+    assert "#61" in report
+    assert "closed_unmerged_pr" in report
+    assert "## Referenced Issue Snapshot" in report
+    assert "## Referenced PR Snapshot" in report
+    assert "## Recommended Next Actions" in report
+
+
+def test_committed_work_orders_audit_exists_with_required_sections() -> None:
+    text = REPORT_PATH.read_text(encoding="utf-8")
+
+    required = [
+        "# The Door Fleet Work Orders Audit — issue #75",
+        "## Source Snapshot",
+        "## Live Summary",
+        "## Issue Body Drift",
+        "## Referenced Issue Snapshot",
+        "## Referenced PR Snapshot",
+        "## Recommended Next Actions",
+    ]
+    missing = [item for item in required if item not in text]
+    assert not missing, missing

tests/test_image_screening.py

@@ -0,0 +1,62 @@
+"""Tests for local image crisis screening slice under epic #130."""
+
+import os
+import sys
+import unittest
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+from image_screening import ImageScreeningResult, screen_image_signals
+
+
+class TestImageScreeningResult(unittest.TestCase):
+    def test_to_dict_preserves_core_fields(self):
+        result = ImageScreeningResult(
+            ocr_text="help me",
+            labels=["blood"],
+            visual_flags=["dark_scene"],
+            distress_score=0.8,
+            requires_human_review=True,
+            signals_detected=["direct_self_harm_label:blood"],
+        )
+
+        data = result.to_dict()
+        self.assertEqual(data["ocr_text"], "help me")
+        self.assertEqual(data["labels"], ["blood"])
+        self.assertTrue(data["requires_human_review"])
+
+
+class TestScreenImageSignals(unittest.TestCase):
+    def test_direct_self_harm_labels_trigger_high_risk(self):
+        result = screen_image_signals(
+            labels=["razor blade", "blood droplets"],
+            manual_notes="photo of fresh cuts on forearm",
+        )
+
+        self.assertGreaterEqual(result.distress_score, 0.8)
+        self.assertTrue(result.requires_human_review)
+        self.assertTrue(any("self_harm" in signal for signal in result.signals_detected))
+
+    def test_ocr_text_uses_existing_crisis_detector(self):
+        result = screen_image_signals(
+            ocr_text="I want to kill myself tonight",
+            labels=["handwritten note"],
+        )
+
+        self.assertGreaterEqual(result.distress_score, 0.7)
+        self.assertTrue(result.requires_human_review)
+        self.assertTrue(any(signal.startswith("ocr_crisis_level:") for signal in result.signals_detected))
+
+    def test_neutral_image_stays_low_risk(self):
+        result = screen_image_signals(
+            labels=["dog", "park", "sunlight"],
+            manual_notes="family outing in daylight",
+        )
+
+        self.assertLess(result.distress_score, 0.2)
+        self.assertFalse(result.requires_human_review)
+        self.assertEqual(result.signals_detected, [])
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/test_indicator_dedup.py

@@ -0,0 +1,50 @@
+"""Regression tests for duplicate crisis indicators cleanup (#123)."""
+
+import os
+import re
+import sys
+import unittest
+from pathlib import Path
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+from crisis.detect import detect_crisis
+
+
+ROOT = Path(__file__).resolve().parents[1]
+DETECT_FILE = ROOT / "crisis" / "detect.py"
+
+
+class TestCrisisIndicatorDedup(unittest.TestCase):
+    def _extract_indicator_list(self, name: str) -> set[str]:
+        text = DETECT_FILE.read_text(encoding="utf-8")
+        match = re.search(rf"{name}\s*=\s*\[(.*?)\n\]", text, re.S)
+        self.assertIsNotNone(match, f"{name} list missing")
+        return {
+            line.strip().rstrip(",")
+            for line in match.group(1).splitlines()
+            if line.strip().startswith('r"')
+        }
+
+    def test_high_and_medium_indicator_lists_do_not_overlap(self):
+        high = self._extract_indicator_list("HIGH_INDICATORS")
+        medium = self._extract_indicator_list("MEDIUM_INDICATORS")
+        overlap = high & medium
+        self.assertEqual(set(), overlap, f"duplicate cross-tier patterns found: {sorted(overlap)}")
+
+    def test_removed_duplicates_still_classify_at_high_tier(self):
+        cases = {
+            "I feel hopeless": "HIGH",
+            "I feel trapped": "HIGH",
+            "I feel desperate": "HIGH",
+            "I have no future ahead": "HIGH",
+            "I have given up on myself": "HIGH",
+        }
+        for text, expected in cases.items():
+            with self.subTest(text=text):
+                result = detect_crisis(text)
+                self.assertEqual(expected, result.level)
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/test_safety_plan_chat_header.py

@@ -0,0 +1,20 @@
+from pathlib import Path
+
+INDEX = Path("index.html")
+
+
+def test_chat_header_has_persistent_safety_plan_button():
+    html = INDEX.read_text()
+    assert 'id="chat-header"' in html
+    assert 'id="chat-safety-plan-btn"' in html
+    assert 'aria-label="Open My Safety Plan from chat header"' in html
+    assert 'My Safety Plan' in html
+
+
+def test_chat_header_button_opens_existing_safety_plan_modal():
+    html = INDEX.read_text()
+    assert "var chatSafetyPlanBtn = document.getElementById('chat-safety-plan-btn');" in html
+    assert "chatSafetyPlanBtn.addEventListener('click'" in html
+    assert "function openSafetyPlan(triggerEl)" in html
+    assert "safetyPlanModal.classList.add('active');" in html
+    assert "openSafetyPlan(chatSafetyPlanBtn);" in html