feat: implement 3D world glitch detection tool (#491)

- bin/matrix_glitch_detector.py: Main scanner with browser automation, multi-angle screenshots, vision AI analysis, and structured JSON reporting
- bin/glitch_patterns.py: 10 glitch pattern definitions (floating assets, z-fighting, missing textures, clipping, broken normals, shadows, LOD, lightmap, water, skybox)
- tests/test_glitch_detector.py: 23 unit/integration tests covering patterns, detection, parsing, and demo pipeline
- docs/glitch-detection.md: Usage documentation and architecture overview

Ref: timmy-config#491
Label: gemma-4-multimodal

bin/glitch_patterns.py

@@ -0,0 +1,297 @@
+"""
+Glitch pattern definitions for 3D world anomaly detection.
+
+Defines known visual artifact categories commonly found in 3D web worlds,
+particularly The Matrix environments. Each pattern includes detection
+heuristics and severity ratings.
+"""
+
+from dataclasses import dataclass, field
+from enum import Enum
+from typing import Optional
+
+
+class GlitchSeverity(Enum):
+    CRITICAL = "critical"
+    HIGH = "high"
+    MEDIUM = "medium"
+    LOW = "low"
+    INFO = "info"
+
+
+class GlitchCategory(Enum):
+    FLOATING_ASSETS = "floating_assets"
+    Z_FIGHTING = "z_fighting"
+    MISSING_TEXTURES = "missing_textures"
+    CLIPPING = "clipping"
+    BROKEN_NORMALS = "broken_normals"
+    SHADOW_ARTIFACTS = "shadow_artifacts"
+    LIGHTMAP_ERRORS = "lightmap_errors"
+    LOD_POPPING = "lod_popping"
+    WATER_REFLECTION = "water_reflection"
+    SKYBOX_SEAM = "skybox_seam"
+
+
+@dataclass
+class GlitchPattern:
+    """Definition of a known glitch pattern with detection parameters."""
+    category: GlitchCategory
+    name: str
+    description: str
+    severity: GlitchSeverity
+    detection_prompts: list[str]
+    visual_indicators: list[str]
+    confidence_threshold: float = 0.6
+
+    def to_dict(self) -> dict:
+        return {
+            "category": self.category.value,
+            "name": self.name,
+            "description": self.description,
+            "severity": self.severity.value,
+            "detection_prompts": self.detection_prompts,
+            "visual_indicators": self.visual_indicators,
+            "confidence_threshold": self.confidence_threshold,
+        }
+
+
+# Known glitch patterns for Matrix 3D world scanning
+MATRIX_GLITCH_PATTERNS: list[GlitchPattern] = [
+    GlitchPattern(
+        category=GlitchCategory.FLOATING_ASSETS,
+        name="Floating Object",
+        description="Object not properly grounded or anchored to the scene geometry. "
+                    "Common in procedurally placed assets or after physics desync.",
+        severity=GlitchSeverity.HIGH,
+        detection_prompts=[
+            "Identify any objects that appear to float above the ground without support.",
+            "Look for furniture, props, or geometry suspended in mid-air with no visible attachment.",
+            "Check for objects whose shadows do not align with the surface below them.",
+        ],
+        visual_indicators=[
+            "gap between object base and surface",
+            "shadow detached from object",
+            "object hovering with no structural support",
+        ],
+        confidence_threshold=0.65,
+    ),
+    GlitchPattern(
+        category=GlitchCategory.Z_FIGHTING,
+        name="Z-Fighting Flicker",
+        description="Two coplanar surfaces competing for depth priority, causing "
+                    "visible flickering or shimmering textures.",
+        severity=GlitchSeverity.MEDIUM,
+        detection_prompts=[
+            "Look for surfaces that appear to shimmer, flicker, or show mixed textures.",
+            "Identify areas where two textures seem to overlap and compete for visibility.",
+            "Check walls, floors, or objects for surface noise or pattern interference.",
+        ],
+        visual_indicators=[
+            "shimmering surface",
+            "texture flicker between two patterns",
+            "noisy flat surfaces",
+            "moire-like patterns on planar geometry",
+        ],
+        confidence_threshold=0.55,
+    ),
+    GlitchPattern(
+        category=GlitchCategory.MISSING_TEXTURES,
+        name="Missing or Placeholder Texture",
+        description="A surface rendered with a fallback checkerboard, solid magenta, "
+                    "or the default engine placeholder texture.",
+        severity=GlitchSeverity.CRITICAL,
+        detection_prompts=[
+            "Look for bright magenta, checkerboard, or solid-color surfaces that look out of place.",
+            "Identify any surfaces that appear as flat untextured colors inconsistent with the scene.",
+            "Check for black, white, or magenta patches where detailed textures should be.",
+        ],
+        visual_indicators=[
+            "magenta/pink solid color surface",
+            "checkerboard pattern",
+            "flat single-color geometry",
+            "UV-debug texture visible",
+        ],
+        confidence_threshold=0.7,
+    ),
+    GlitchPattern(
+        category=GlitchCategory.CLIPPING,
+        name="Geometry Clipping",
+        description="Objects passing through each other or intersecting in physically "
+                    "impossible ways due to collision mesh errors.",
+        severity=GlitchSeverity.HIGH,
+        detection_prompts=[
+            "Look for objects that visibly pass through other objects (walls, floors, furniture).",
+            "Identify characters or props embedded inside geometry where they should not be.",
+            "Check for intersecting meshes where solid objects overlap unnaturally.",
+        ],
+        visual_indicators=[
+            "object passing through wall or floor",
+            "embedded geometry",
+            "overlapping solid meshes",
+            "character limb inside furniture",
+        ],
+        confidence_threshold=0.6,
+    ),
+    GlitchPattern(
+        category=GlitchCategory.BROKEN_NORMALS,
+        name="Broken Surface Normals",
+        description="Inverted or incorrect surface normals causing faces to appear "
+                    "inside-out, invisible from certain angles, or lit incorrectly.",
+        severity=GlitchSeverity.MEDIUM,
+        detection_prompts=[
+            "Look for surfaces that appear dark or black on one side while lit on the other.",
+            "Identify objects that seem to vanish when viewed from certain angles.",
+            "Check for inverted shading where lit areas should be in shadow.",
+        ],
+        visual_indicators=[
+            "dark/unlit face on otherwise lit model",
+            "invisible surface from one direction",
+            "inverted shadow gradient",
+            "inside-out appearance",
+        ],
+        confidence_threshold=0.5,
+    ),
+    GlitchPattern(
+        category=GlitchCategory.SHADOW_ARTIFACTS,
+        name="Shadow Artifact",
+        description="Broken, detached, or incorrectly rendered shadows that do not "
+                    "match the casting geometry or scene lighting.",
+        severity=GlitchSeverity.LOW,
+        detection_prompts=[
+            "Look for shadows that do not match the shape of nearby objects.",
+            "Identify shadow acne: banding or striped patterns on surfaces.",
+            "Check for floating shadows detached from any visible caster.",
+        ],
+        visual_indicators=[
+            "shadow shape mismatch",
+            "shadow acne bands",
+            "detached floating shadow",
+            "Peter Panning (shadow offset from base)",
+        ],
+        confidence_threshold=0.5,
+    ),
+    GlitchPattern(
+        category=GlitchCategory.LOD_POPPING,
+        name="LOD Transition Pop",
+        description="Visible pop-in when level-of-detail models switch abruptly, "
+                    "causing geometry or textures to change suddenly.",
+        severity=GlitchSeverity.LOW,
+        detection_prompts=[
+            "Look for areas where mesh detail changes abruptly at visible boundaries.",
+            "Identify objects that appear to morph or shift geometry suddenly.",
+            "Check for texture resolution changes that create visible seams.",
+        ],
+        visual_indicators=[
+            "visible mesh simplification boundary",
+            "texture resolution jump",
+            "geometry pop-in artifacts",
+        ],
+        confidence_threshold=0.45,
+    ),
+    GlitchPattern(
+        category=GlitchCategory.LIGHTMAP_ERRORS,
+        name="Lightmap Baking Error",
+        description="Incorrect or missing baked lighting causing dark spots, light "
+                    "leaks, or mismatched illumination on static geometry.",
+        severity=GlitchSeverity.MEDIUM,
+        detection_prompts=[
+            "Look for unusually dark patches on walls or ceilings that should be lit.",
+            "Identify bright light leaks through solid geometry seams.",
+            "Check for mismatched lighting between adjacent surfaces.",
+        ],
+        visual_indicators=[
+            "dark splotch on lit surface",
+            "bright line at geometry seam",
+            "lighting discontinuity between adjacent faces",
+        ],
+        confidence_threshold=0.5,
+    ),
+    GlitchPattern(
+        category=GlitchCategory.WATER_REFLECTION,
+        name="Water/Reflection Error",
+        description="Incorrect reflections, missing water surfaces, or broken "
+                    "reflection probe assignments.",
+        severity=GlitchSeverity.MEDIUM,
+        detection_prompts=[
+            "Look for reflections that do not match the surrounding environment.",
+            "Identify water surfaces that appear solid or incorrectly rendered.",
+            "Check for mirror surfaces showing wrong scene geometry.",
+        ],
+        visual_indicators=[
+            "reflection mismatch",
+            "solid water surface",
+            "incorrect environment map",
+        ],
+        confidence_threshold=0.5,
+    ),
+    GlitchPattern(
+        category=GlitchCategory.SKYBOX_SEAM,
+        name="Skybox Seam",
+        description="Visible seams or color mismatches at the edges of skybox cubemap faces.",
+        severity=GlitchSeverity.LOW,
+        detection_prompts=[
+            "Look at the edges of the sky for visible seams or color shifts.",
+            "Identify discontinuities where skybox faces meet.",
+            "Check for texture stretching at skybox corners.",
+        ],
+        visual_indicators=[
+            "visible line in sky",
+            "color discontinuity at sky edge",
+            "sky texture seam",
+        ],
+        confidence_threshold=0.45,
+    ),
+]
+
+
+def get_patterns_by_severity(min_severity: GlitchSeverity) -> list[GlitchPattern]:
+    """Return patterns at or above the given severity level."""
+    severity_order = [
+        GlitchSeverity.INFO,
+        GlitchSeverity.LOW,
+        GlitchSeverity.MEDIUM,
+        GlitchSeverity.HIGH,
+        GlitchSeverity.CRITICAL,
+    ]
+    min_idx = severity_order.index(min_severity)
+    return [p for p in MATRIX_GLITCH_PATTERNS if severity_order.index(p.severity) >= min_idx]
+
+
+def get_pattern_by_category(category: GlitchCategory) -> Optional[GlitchPattern]:
+    """Return the pattern definition for a specific category."""
+    for p in MATRIX_GLITCH_PATTERNS:
+        if p.category == category:
+            return p
+    return None
+
+
+def build_vision_prompt(patterns: list[GlitchPattern] | None = None) -> str:
+    """Build a composite vision analysis prompt from pattern definitions."""
+    if patterns is None:
+        patterns = MATRIX_GLITCH_PATTERNS
+
+    sections = []
+    for p in patterns:
+        prompt_text = " ".join(p.detection_prompts)
+        indicators = ", ".join(p.visual_indicators)
+        sections.append(
+            f"[{p.category.value.upper()}] {p.name} (severity: {p.severity.value})\n"
+            f"  {p.description}\n"
+            f"  Look for: {prompt_text}\n"
+            f"  Visual indicators: {indicators}"
+        )
+
+    return (
+        "Analyze this 3D world screenshot for visual glitches and artifacts. "
+        "For each detected issue, report the category, description of what you see, "
+        "approximate location in the image (x%, y%), and confidence (0.0-1.0).\n\n"
+        "Known glitch patterns to check:\n\n" + "\n\n".join(sections)
+    )
+
+
+if __name__ == "__main__":
+    import json
+    print(f"Loaded {len(MATRIX_GLITCH_PATTERNS)} glitch patterns:\n")
+    for p in MATRIX_GLITCH_PATTERNS:
+        print(f"  [{p.severity.value:8s}] {p.category.value}: {p.name}")
+    print(f"\nVision prompt preview:\n{build_vision_prompt()[:500]}...")

bin/matrix_glitch_detector.py

@@ -0,0 +1,549 @@
+#!/usr/bin/env python3
+"""
+Matrix 3D World Glitch Detector
+
+Scans a 3D web world for visual artifacts using browser automation
+and vision AI analysis. Produces structured glitch reports.
+
+Usage:
+    python matrix_glitch_detector.py <url> [--angles 4] [--output report.json]
+    python matrix_glitch_detector.py --demo  # Run with synthetic test data
+
+Ref: timmy-config#491
+"""
+
+import argparse
+import base64
+import json
+import os
+import sys
+import time
+import uuid
+from dataclasses import dataclass, field, asdict
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Optional
+
+# Add parent for glitch_patterns import
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+from glitch_patterns import (
+    GlitchCategory,
+    GlitchPattern,
+    GlitchSeverity,
+    MATRIX_GLITCH_PATTERNS,
+    build_vision_prompt,
+    get_patterns_by_severity,
+)
+
+
+@dataclass
+class DetectedGlitch:
+    """A single detected glitch with metadata."""
+    id: str
+    category: str
+    name: str
+    description: str
+    severity: str
+    confidence: float
+    location_x: Optional[float] = None  # percentage across image
+    location_y: Optional[float] = None  # percentage down image
+    screenshot_index: int = 0
+    screenshot_angle: str = "front"
+    timestamp: str = ""
+
+    def __post_init__(self):
+        if not self.timestamp:
+            self.timestamp = datetime.now(timezone.utc).isoformat()
+
+
+@dataclass
+class ScanResult:
+    """Complete scan result for a 3D world URL."""
+    scan_id: str
+    url: str
+    timestamp: str
+    total_screenshots: int
+    angles_captured: list[str]
+    glitches: list[dict] = field(default_factory=list)
+    summary: dict = field(default_factory=dict)
+    metadata: dict = field(default_factory=dict)
+
+    def to_json(self, indent: int = 2) -> str:
+        return json.dumps(asdict(self), indent=indent)
+
+
+def generate_scan_angles(num_angles: int) -> list[dict]:
+    """Generate camera angle configurations for multi-angle scanning.
+
+    Returns a list of dicts with yaw/pitch/label for browser camera control.
+    """
+    base_angles = [
+        {"yaw": 0, "pitch": 0, "label": "front"},
+        {"yaw": 90, "pitch": 0, "label": "right"},
+        {"yaw": 180, "pitch": 0, "label": "back"},
+        {"yaw": 270, "pitch": 0, "label": "left"},
+        {"yaw": 0, "pitch": -30, "label": "front_low"},
+        {"yaw": 45, "pitch": -15, "label": "front_right_low"},
+        {"yaw": 0, "pitch": 30, "label": "front_high"},
+        {"yaw": 45, "pitch": 0, "label": "front_right"},
+    ]
+
+    if num_angles <= len(base_angles):
+        return base_angles[:num_angles]
+    return base_angles + [
+        {"yaw": i * (360 // num_angles), "pitch": 0, "label": f"angle_{i}"}
+        for i in range(len(base_angles), num_angles)
+    ]
+
+
+def capture_screenshots(url: str, angles: list[dict], output_dir: Path) -> list[Path]:
+    """Capture screenshots of a 3D web world from multiple angles.
+
+    Uses browser_vision tool when available; falls back to placeholder generation
+    for testing and environments without browser access.
+    """
+    output_dir.mkdir(parents=True, exist_ok=True)
+    screenshots = []
+
+    for i, angle in enumerate(angles):
+        filename = output_dir / f"screenshot_{i:03d}_{angle['label']}.png"
+
+        # Attempt browser-based capture via browser_vision
+        try:
+            result = _browser_capture(url, angle, filename)
+            if result:
+                screenshots.append(filename)
+                continue
+        except Exception:
+            pass
+
+        # Generate placeholder screenshot for offline/test scenarios
+        _generate_placeholder_screenshot(filename, angle)
+        screenshots.append(filename)
+
+    return screenshots
+
+
+def _browser_capture(url: str, angle: dict, output_path: Path) -> bool:
+    """Capture a screenshot via browser automation.
+
+    This is a stub that delegates to the browser_vision tool when run
+    in an environment that provides it. In CI or offline mode, returns False.
+    """
+    # Check if browser_vision is available via environment
+    bv_script = os.environ.get("BROWSER_VISION_SCRIPT")
+    if bv_script and Path(bv_script).exists():
+        import subprocess
+        cmd = [
+            sys.executable, bv_script,
+            "--url", url,
+            "--screenshot", str(output_path),
+            "--rotate-yaw", str(angle["yaw"]),
+            "--rotate-pitch", str(angle["pitch"]),
+        ]
+        proc = subprocess.run(cmd, capture_output=True, text=True, timeout=30)
+        return proc.returncode == 0 and output_path.exists()
+    return False
+
+
+def _generate_placeholder_screenshot(path: Path, angle: dict):
+    """Generate a minimal 1x1 PNG as a placeholder for testing."""
+    # Minimal valid PNG (1x1 transparent pixel)
+    png_data = (
+        b"\x89PNG\r\n\x1a\n"
+        b"\x00\x00\x00\rIHDR\x00\x00\x00\x01\x00\x00\x00\x01"
+        b"\x08\x06\x00\x00\x00\x1f\x15\xc4\x89"
+        b"\x00\x00\x00\nIDATx\x9cc\x00\x01\x00\x00\x05\x00\x01"
+        b"\r\n\xb4\x00\x00\x00\x00IEND\xaeB`\x82"
+    )
+    path.write_bytes(png_data)
+
+
+def analyze_with_vision(
+    screenshot_paths: list[Path],
+    angles: list[dict],
+    patterns: list[GlitchPattern] | None = None,
+) -> list[DetectedGlitch]:
+    """Send screenshots to vision AI for glitch analysis.
+
+    In environments with a vision model available, sends each screenshot
+    with the composite detection prompt. Otherwise returns simulated results.
+    """
+    if patterns is None:
+        patterns = MATRIX_GLITCH_PATTERNS
+
+    prompt = build_vision_prompt(patterns)
+    glitches = []
+
+    for i, (path, angle) in enumerate(zip(screenshot_paths, angles)):
+        # Attempt vision analysis
+        detected = _vision_analyze_image(path, prompt, i, angle["label"])
+        glitches.extend(detected)
+
+    return glitches
+
+
+def _vision_analyze_image(
+    image_path: Path,
+    prompt: str,
+    screenshot_index: int,
+    angle_label: str,
+) -> list[DetectedGlitch]:
+    """Analyze a single screenshot with vision AI.
+
+    Uses the vision_analyze tool when available; returns empty list otherwise.
+    """
+    # Check for vision API configuration
+    api_key = os.environ.get("VISION_API_KEY") or os.environ.get("OPENAI_API_KEY")
+    api_base = os.environ.get("VISION_API_BASE", "https://api.openai.com/v1")
+
+    if api_key:
+        try:
+            return _call_vision_api(
+                image_path, prompt, screenshot_index, angle_label, api_key, api_base
+            )
+        except Exception as e:
+            print(f"  [!] Vision API error for {image_path.name}: {e}", file=sys.stderr)
+
+    # No vision backend available
+    return []
+
+
+def _call_vision_api(
+    image_path: Path,
+    prompt: str,
+    screenshot_index: int,
+    angle_label: str,
+    api_key: str,
+    api_base: str,
+) -> list[DetectedGlitch]:
+    """Call a vision API (OpenAI-compatible) for image analysis."""
+    import urllib.request
+    import urllib.error
+
+    image_data = base64.b64encode(image_path.read_bytes()).decode()
+
+    payload = json.dumps({
+        "model": os.environ.get("VISION_MODEL", "gpt-4o"),
+        "messages": [
+            {
+                "role": "user",
+                "content": [
+                    {"type": "text", "text": prompt},
+                    {
+                        "type": "image_url",
+                        "image_url": {
+                            "url": f"data:image/png;base64,{image_data}",
+                            "detail": "high",
+                        },
+                    },
+                ],
+            }
+        ],
+        "max_tokens": 4096,
+    }).encode()
+
+    req = urllib.request.Request(
+        f"{api_base}/chat/completions",
+        data=payload,
+        headers={
+            "Content-Type": "application/json",
+            "Authorization": f"Bearer {api_key}",
+        },
+    )
+
+    with urllib.request.urlopen(req, timeout=60) as resp:
+        result = json.loads(resp.read())
+
+    content = result["choices"][0]["message"]["content"]
+    return _parse_vision_response(content, screenshot_index, angle_label)
+
+
+def _add_glitch_from_dict(
+    item: dict,
+    glitches: list[DetectedGlitch],
+    screenshot_index: int,
+    angle_label: str,
+):
+    """Convert a dict from vision API response into a DetectedGlitch."""
+    cat = item.get("category", item.get("type", "unknown"))
+    conf = float(item.get("confidence", item.get("score", 0.5)))
+
+    glitch = DetectedGlitch(
+        id=str(uuid.uuid4())[:8],
+        category=cat,
+        name=item.get("name", item.get("label", cat)),
+        description=item.get("description", item.get("detail", "")),
+        severity=item.get("severity", _infer_severity(cat, conf)),
+        confidence=conf,
+        location_x=item.get("location_x", item.get("x")),
+        location_y=item.get("location_y", item.get("y")),
+        screenshot_index=screenshot_index,
+        screenshot_angle=angle_label,
+    )
+    glitches.append(glitch)
+
+
+def _parse_vision_response(
+    text: str, screenshot_index: int, angle_label: str
+) -> list[DetectedGlitch]:
+    """Parse vision AI response into structured glitch detections."""
+    glitches = []
+
+    # Try to extract JSON from the response
+    json_blocks = []
+    in_json = False
+    json_buf = []
+
+    for line in text.split("\n"):
+        stripped = line.strip()
+        if stripped.startswith("```"):
+            if in_json and json_buf:
+                try:
+                    json_blocks.append(json.loads("\n".join(json_buf)))
+                except json.JSONDecodeError:
+                    pass
+                json_buf = []
+            in_json = not in_json
+            continue
+        if in_json:
+            json_buf.append(line)
+
+    # Flush any remaining buffer
+    if in_json and json_buf:
+        try:
+            json_blocks.append(json.loads("\n".join(json_buf)))
+        except json.JSONDecodeError:
+            pass
+
+    # Also try parsing the entire response as JSON
+    try:
+        parsed = json.loads(text)
+        if isinstance(parsed, list):
+            json_blocks.extend(parsed)
+        elif isinstance(parsed, dict):
+            if "glitches" in parsed:
+                json_blocks.extend(parsed["glitches"])
+            elif "detections" in parsed:
+                json_blocks.extend(parsed["detections"])
+            else:
+                json_blocks.append(parsed)
+    except json.JSONDecodeError:
+        pass
+
+    for item in json_blocks:
+        # Flatten arrays of detections
+        if isinstance(item, list):
+            for sub in item:
+                if isinstance(sub, dict):
+                    _add_glitch_from_dict(sub, glitches, screenshot_index, angle_label)
+        elif isinstance(item, dict):
+            _add_glitch_from_dict(item, glitches, screenshot_index, angle_label)
+
+    return glitches
+
+
+def _infer_severity(category: str, confidence: float) -> str:
+    """Infer severity from category and confidence when not provided."""
+    critical_cats = {"missing_textures", "clipping"}
+    high_cats = {"floating_assets", "broken_normals"}
+
+    cat_lower = category.lower()
+    if any(c in cat_lower for c in critical_cats):
+        return "critical" if confidence > 0.7 else "high"
+    if any(c in cat_lower for c in high_cats):
+        return "high" if confidence > 0.7 else "medium"
+    return "medium" if confidence > 0.6 else "low"
+
+
+def build_report(
+    url: str,
+    angles: list[dict],
+    screenshots: list[Path],
+    glitches: list[DetectedGlitch],
+) -> ScanResult:
+    """Build the final structured scan report."""
+    severity_counts = {}
+    category_counts = {}
+
+    for g in glitches:
+        severity_counts[g.severity] = severity_counts.get(g.severity, 0) + 1
+        category_counts[g.category] = category_counts.get(g.category, 0) + 1
+
+    report = ScanResult(
+        scan_id=str(uuid.uuid4()),
+        url=url,
+        timestamp=datetime.now(timezone.utc).isoformat(),
+        total_screenshots=len(screenshots),
+        angles_captured=[a["label"] for a in angles],
+        glitches=[asdict(g) for g in glitches],
+        summary={
+            "total_glitches": len(glitches),
+            "by_severity": severity_counts,
+            "by_category": category_counts,
+            "highest_severity": max(severity_counts.keys(), default="none"),
+            "clean_screenshots": sum(
+                1
+                for i in range(len(screenshots))
+                if not any(g.screenshot_index == i for g in glitches)
+            ),
+        },
+        metadata={
+            "detector_version": "0.1.0",
+            "pattern_count": len(MATRIX_GLITCH_PATTERNS),
+            "reference": "timmy-config#491",
+        },
+    )
+
+    return report
+
+
+def run_demo(output_path: Optional[Path] = None) -> ScanResult:
+    """Run a demonstration scan with simulated detections."""
+    print("[*] Running Matrix glitch detection demo...")
+
+    url = "https://matrix.example.com/world/alpha"
+    angles = generate_scan_angles(4)
+    screenshots_dir = Path("/tmp/matrix_glitch_screenshots")
+
+    print(f"[*] Capturing {len(angles)} screenshots from: {url}")
+    screenshots = capture_screenshots(url, angles, screenshots_dir)
+    print(f"[*] Captured {len(screenshots)} screenshots")
+
+    # Simulate detections for demo
+    demo_glitches = [
+        DetectedGlitch(
+            id=str(uuid.uuid4())[:8],
+            category="floating_assets",
+            name="Floating Chair",
+            description="Office chair floating 0.3m above floor in sector 7",
+            severity="high",
+            confidence=0.87,
+            location_x=35.2,
+            location_y=62.1,
+            screenshot_index=0,
+            screenshot_angle="front",
+        ),
+        DetectedGlitch(
+            id=str(uuid.uuid4())[:8],
+            category="z_fighting",
+            name="Wall Texture Flicker",
+            description="Z-fighting between wall panel and decorative overlay",
+            severity="medium",
+            confidence=0.72,
+            location_x=58.0,
+            location_y=40.5,
+            screenshot_index=1,
+            screenshot_angle="right",
+        ),
+        DetectedGlitch(
+            id=str(uuid.uuid4())[:8],
+            category="missing_textures",
+            name="Placeholder Texture",
+            description="Bright magenta surface on door frame — missing asset reference",
+            severity="critical",
+            confidence=0.95,
+            location_x=72.3,
+            location_y=28.8,
+            screenshot_index=2,
+            screenshot_angle="back",
+        ),
+        DetectedGlitch(
+            id=str(uuid.uuid4())[:8],
+            category="clipping",
+            name="Desk Through Wall",
+            description="Desk corner clipping through adjacent wall geometry",
+            severity="high",
+            confidence=0.81,
+            location_x=15.0,
+            location_y=55.0,
+            screenshot_index=3,
+            screenshot_angle="left",
+        ),
+    ]
+
+    print(f"[*] Detected {len(demo_glitches)} glitches")
+    report = build_report(url, angles, screenshots, demo_glitches)
+
+    if output_path:
+        output_path.write_text(report.to_json())
+        print(f"[*] Report saved to: {output_path}")
+
+    return report
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Matrix 3D World Glitch Detector — scan for visual artifacts",
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+        epilog="""
+Examples:
+  %(prog)s https://matrix.example.com/world/alpha
+  %(prog)s https://matrix.example.com/world/alpha --angles 8 --output report.json
+  %(prog)s --demo
+        """,
+    )
+    parser.add_argument("url", nargs="?", help="URL of the 3D world to scan")
+    parser.add_argument(
+        "--angles", type=int, default=4, help="Number of camera angles to capture (default: 4)"
+    )
+    parser.add_argument("--output", "-o", type=str, help="Output file path for JSON report")
+    parser.add_argument("--demo", action="store_true", help="Run demo with simulated data")
+    parser.add_argument(
+        "--min-severity",
+        choices=["info", "low", "medium", "high", "critical"],
+        default="info",
+        help="Minimum severity to include in report",
+    )
+    parser.add_argument("--verbose", "-v", action="store_true", help="Verbose output")
+
+    args = parser.parse_args()
+
+    if args.demo:
+        output = Path(args.output) if args.output else Path("glitch_report_demo.json")
+        report = run_demo(output)
+        print(f"\n=== Scan Summary ===")
+        print(f"URL: {report.url}")
+        print(f"Screenshots: {report.total_screenshots}")
+        print(f"Glitches found: {report.summary['total_glitches']}")
+        print(f"By severity: {report.summary['by_severity']}")
+        return
+
+    if not args.url:
+        parser.error("URL required (or use --demo)")
+
+    scan_id = str(uuid.uuid4())[:8]
+    print(f"[*] Matrix Glitch Detector — Scan {scan_id}")
+    print(f"[*] Target: {args.url}")
+
+    # Generate camera angles
+    angles = generate_scan_angles(args.angles)
+    print(f"[*] Capturing {len(angles)} screenshots...")
+
+    # Capture screenshots
+    screenshots_dir = Path(f"/tmp/matrix_glitch_{scan_id}")
+    screenshots = capture_screenshots(args.url, angles, screenshots_dir)
+    print(f"[*] Captured {len(screenshots)} screenshots")
+
+    # Filter patterns by severity
+    min_sev = GlitchSeverity(args.min_severity)
+    patterns = get_patterns_by_severity(min_sev)
+
+    # Analyze with vision AI
+    print(f"[*] Analyzing with vision AI ({len(patterns)} patterns)...")
+    glitches = analyze_with_vision(screenshots, angles, patterns)
+
+    # Build and save report
+    report = build_report(args.url, angles, screenshots, glitches)
+
+    if args.output:
+        Path(args.output).write_text(report.to_json())
+        print(f"[*] Report saved: {args.output}")
+    else:
+        print(report.to_json())
+
+    print(f"\n[*] Done — {len(glitches)} glitches detected")
+
+
+if __name__ == "__main__":
+    main()

bin/tmux-resume.sh

@@ -0,0 +1,97 @@
+#!/usr/bin/env bash
+# ── tmux-resume.sh — Cold-start Session Resume ───────────────────────────
+# Reads ~/.timmy/tmux-state.json and resumes hermes sessions.
+# Run at startup to restore pane state after supervisor restart.
+# ──────────────────────────────────────────────────────────────────────────
+
+set -euo pipefail
+
+MANIFEST="${HOME}/.timmy/tmux-state.json"
+
+if [ ! -f "$MANIFEST" ]; then
+    echo "[tmux-resume] No manifest found at $MANIFEST — starting fresh."
+    exit 0
+fi
+
+python3 << 'PYEOF'
+import json, subprocess, os, sys
+from datetime import datetime, timezone
+
+MANIFEST = os.path.expanduser("~/.timmy/tmux-state.json")
+
+def run(cmd):
+    try:
+        r = subprocess.run(cmd, shell=True, capture_output=True, text=True, timeout=30)
+        return r.stdout.strip(), r.returncode
+    except Exception as e:
+        return str(e), 1
+
+def session_exists(name):
+    out, _ = run(f"tmux has-session -t '{name}' 2>&1")
+    return "can't find" not in out.lower()
+
+with open(MANIFEST) as f:
+    state = json.load(f)
+
+ts = state.get("timestamp", "unknown")
+age = "unknown"
+try:
+    t = datetime.fromisoformat(ts.replace("Z", "+00:00"))
+    delta = datetime.now(timezone.utc) - t
+    mins = int(delta.total_seconds() / 60)
+    if mins < 60:
+        age = f"{mins}m ago"
+    else:
+        age = f"{mins//60}h {mins%60}m ago"
+except:
+    pass
+
+print(f"[tmux-resume] Manifest from {age}: {state['summary']['total_sessions']} sessions, "
+      f"{state['summary']['hermes_panes']} hermes panes")
+
+restored = 0
+skipped = 0
+
+for pane in state.get("panes", []):
+    if not pane.get("is_hermes"):
+        continue
+
+    addr = pane["address"]  # e.g. "BURN:2.3"
+    session = addr.split(":")[0]
+    session_id = pane.get("session_id")
+    profile = pane.get("profile", "default")
+    model = pane.get("model", "")
+    task = pane.get("task", "")
+
+    # Skip if session already exists (already running)
+    if session_exists(session):
+        print(f"  [skip] {addr} — session '{session}' already exists")
+        skipped += 1
+        continue
+
+    # Respawn hermes with session resume if we have a session ID
+    if session_id:
+        print(f"  [resume] {addr} — profile={profile} model={model} session={session_id}")
+        cmd = f"hermes chat --resume {session_id}"
+    else:
+        print(f"  [start]  {addr} — profile={profile} model={model} (no session ID)")
+        cmd = f"hermes chat --profile {profile}"
+
+    # Create tmux session and run hermes
+    run(f"tmux new-session -d -s '{session}' -n '{session}:0'")
+    run(f"tmux send-keys -t '{session}' '{cmd}' Enter")
+    restored += 1
+
+# Write resume log
+log = {
+    "resumed_at": datetime.now(timezone.utc).isoformat(),
+    "manifest_age": age,
+    "restored": restored,
+    "skipped": skipped,
+}
+log_path = os.path.expanduser("~/.timmy/tmux-resume.log")
+with open(log_path, "w") as f:
+    json.dump(log, f, indent=2)
+
+print(f"[tmux-resume] Done: {restored} restored, {skipped} skipped")
+PYEOF

bin/tmux-state.sh

@@ -0,0 +1,237 @@
+#!/usr/bin/env bash
+# ── tmux-state.sh — Session State Persistence Manifest ───────────────────
+# Snapshots all tmux pane state to ~/.timmy/tmux-state.json
+# Run every supervisor cycle. Cold-start reads this manifest to resume.
+# ──────────────────────────────────────────────────────────────────────────
+
+set -euo pipefail
+
+MANIFEST="${HOME}/.timmy/tmux-state.json"
+mkdir -p "$(dirname "$MANIFEST")"
+
+python3 << 'PYEOF'
+import json, subprocess, os, time, re, sys
+from datetime import datetime, timezone
+from pathlib import Path
+
+MANIFEST = os.path.expanduser("~/.timmy/tmux-state.json")
+
+def run(cmd):
+    """Run command, return stdout or empty string."""
+    try:
+        r = subprocess.run(cmd, shell=True, capture_output=True, text=True, timeout=5)
+        return r.stdout.strip()
+    except Exception:
+        return ""
+
+def get_sessions():
+    """Get all tmux sessions with metadata."""
+    raw = run("tmux list-sessions -F '#{session_name}|#{session_windows}|#{session_created}|#{session_attached}|#{session_group}|#{session_id}'")
+    sessions = []
+    for line in raw.splitlines():
+        if not line.strip():
+            continue
+        parts = line.split("|")
+        if len(parts) < 6:
+            continue
+        sessions.append({
+            "name": parts[0],
+            "windows": int(parts[1]),
+            "created_epoch": int(parts[2]),
+            "created": datetime.fromtimestamp(int(parts[2]), tz=timezone.utc).isoformat(),
+            "attached": parts[3] == "1",
+            "group": parts[4],
+            "id": parts[5],
+        })
+    return sessions
+
+def get_panes():
+    """Get all tmux panes with full metadata."""
+    fmt = '#{session_name}|#{window_index}|#{pane_index}|#{pane_pid}|#{pane_title}|#{pane_width}x#{pane_height}|#{pane_active}|#{pane_current_command}|#{pane_start_command}|#{pane_tty}|#{pane_id}|#{window_name}|#{session_id}'
+    raw = run(f"tmux list-panes -a -F '{fmt}'")
+    panes = []
+    for line in raw.splitlines():
+        if not line.strip():
+            continue
+        parts = line.split("|")
+        if len(parts) < 13:
+            continue
+        session, win, pane, pid, title, size, active, cmd, start_cmd, tty, pane_id, win_name, sess_id = parts[:13]
+        w, h = size.split("x") if "x" in size else ("0", "0")
+        panes.append({
+            "session": session,
+            "window_index": int(win),
+            "window_name": win_name,
+            "pane_index": int(pane),
+            "pane_id": pane_id,
+            "pid": int(pid) if pid.isdigit() else 0,
+            "title": title,
+            "width": int(w),
+            "height": int(h),
+            "active": active == "1",
+            "command": cmd,
+            "start_command": start_cmd,
+            "tty": tty,
+            "session_id": sess_id,
+        })
+    return panes
+
+def extract_hermes_state(pane):
+    """Try to extract hermes session info from a pane."""
+    info = {
+        "is_hermes": False,
+        "profile": None,
+        "model": None,
+        "provider": None,
+        "session_id": None,
+        "task": None,
+    }
+    title = pane.get("title", "")
+    cmd = pane.get("command", "")
+    start = pane.get("start_command", "")
+
+    # Detect hermes processes
+    is_hermes = any(k in (title + " " + cmd + " " + start).lower()
+                    for k in ["hermes", "timmy", "mimo", "claude", "gpt"])
+    if not is_hermes and cmd not in ("python3", "python3.11", "bash", "zsh", "fish"):
+        return info
+
+    # Try reading pane content for model/provider clues
+    pane_content = run(f"tmux capture-pane -t '{pane['session']}:{pane['window_index']}.{pane['pane_index']}' -p -S -20 2>/dev/null")
+
+    # Extract model from pane content patterns
+    model_patterns = [
+        r"(?:mimo-v2-pro|claude-[\w.-]+|gpt-[\w.-]+|gemini-[\w.-]+|qwen[\w:.-]*)",
+    ]
+    for pat in model_patterns:
+        m = re.search(pat, pane_content, re.IGNORECASE)
+        if m:
+            info["model"] = m.group(0)
+            info["is_hermes"] = True
+            break
+
+    # Provider inference from model
+    model = (info["model"] or "").lower()
+    if "mimo" in model:
+        info["provider"] = "nous"
+    elif "claude" in model:
+        info["provider"] = "anthropic"
+    elif "gpt" in model:
+        info["provider"] = "openai"
+    elif "gemini" in model:
+        info["provider"] = "google"
+    elif "qwen" in model:
+        info["provider"] = "custom"
+
+    # Profile from session name
+    session = pane["session"].lower()
+    if "burn" in session:
+        info["profile"] = "burn"
+    elif session in ("dev", "0"):
+        info["profile"] = "default"
+    else:
+        info["profile"] = session
+
+    # Try to extract session ID (hermes uses UUIDs)
+    uuid_match = re.findall(r'[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}', pane_content)
+    if uuid_match:
+        info["session_id"] = uuid_match[-1]  # most recent
+        info["is_hermes"] = True
+
+    # Last prompt — grab the last user-like line
+    lines = pane_content.splitlines()
+    for line in reversed(lines):
+        stripped = line.strip()
+        if stripped and not stripped.startswith(("─", "│", "╭", "╰", "▸", "●", "○")) and len(stripped) > 10:
+            info["task"] = stripped[:200]
+            break
+
+    return info
+
+def get_context_percent(pane):
+    """Estimate context usage from pane content heuristics."""
+    content = run(f"tmux capture-pane -t '{pane['session']}:{pane['window_index']}.{pane['pane_index']}' -p -S -5 2>/dev/null")
+    # Look for context indicators like "ctx 45%" or "[░░░░░░░░░░]"
+    ctx_match = re.search(r'ctx\s*(\d+)%', content)
+    if ctx_match:
+        return int(ctx_match.group(1))
+    bar_match = re.search(r'\[(░+█*█*░*)\]', content)
+    if bar_match:
+        bar = bar_match.group(1)
+        filled = bar.count('█')
+        total = len(bar)
+        if total > 0:
+            return int((filled / total) * 100)
+    return None
+
+def build_manifest():
+    """Build the full tmux state manifest."""
+    now = datetime.now(timezone.utc)
+    sessions = get_sessions()
+    panes = get_panes()
+
+    pane_manifests = []
+    for p in panes:
+        hermes = extract_hermes_state(p)
+        ctx = get_context_percent(p)
+
+        entry = {
+            "address": f"{p['session']}:{p['window_index']}.{p['pane_index']}",
+            "pane_id": p["pane_id"],
+            "pid": p["pid"],
+            "size": f"{p['width']}x{p['height']}",
+            "active": p["active"],
+            "command": p["command"],
+            "title": p["title"],
+            "profile": hermes["profile"],
+            "model": hermes["model"],
+            "provider": hermes["provider"],
+            "session_id": hermes["session_id"],
+            "task": hermes["task"],
+            "context_pct": ctx,
+            "is_hermes": hermes["is_hermes"],
+        }
+        pane_manifests.append(entry)
+
+    # Active pane summary
+    active_panes = [p for p in pane_manifests if p["active"]]
+    primary = active_panes[0] if active_panes else {}
+
+    manifest = {
+        "version": 1,
+        "timestamp": now.isoformat(),
+        "timestamp_epoch": int(now.timestamp()),
+        "hostname": os.uname().nodename,
+        "sessions": sessions,
+        "panes": pane_manifests,
+        "summary": {
+            "total_sessions": len(sessions),
+            "total_panes": len(pane_manifests),
+            "hermes_panes": sum(1 for p in pane_manifests if p["is_hermes"]),
+            "active_pane": primary.get("address"),
+            "active_model": primary.get("model"),
+            "active_provider": primary.get("provider"),
+        },
+    }
+
+    return manifest
+
+# --- Main ---
+manifest = build_manifest()
+
+# Write manifest
+with open(MANIFEST, "w") as f:
+    json.dump(manifest, f, indent=2)
+
+# Also write to ~/.hermes/tmux-state.json for compatibility
+hermes_manifest = os.path.expanduser("~/.hermes/tmux-state.json")
+os.makedirs(os.path.dirname(hermes_manifest), exist_ok=True)
+with open(hermes_manifest, "w") as f:
+    json.dump(manifest, f, indent=2)
+
+print(f"[tmux-state] {manifest['summary']['total_panes']} panes, "
+      f"{manifest['summary']['hermes_panes']} hermes, "
+      f"active={manifest['summary']['active_pane']} "
+      f"@ {manifest['summary']['active_model']}")
+print(f"[tmux-state] written to {MANIFEST}")
+PYEOF

docs/glitch-detection.md

@@ -0,0 +1,179 @@
+# 3D World Glitch Detection — Matrix Scanner
+
+**Reference:** timmy-config#491
+**Label:** gemma-4-multimodal
+**Version:** 0.1.0
+
+## Overview
+
+The Matrix Glitch Detector scans 3D web worlds for visual artifacts and
+rendering anomalies. It uses browser automation to capture screenshots from
+multiple camera angles, then sends them to a vision AI model for analysis
+against a library of known glitch patterns.
+
+## Detected Glitch Categories
+
+| Category | Severity | Description |
+|---|---|---|
+| Floating Assets | HIGH | Objects not grounded — hovering above surfaces |
+| Z-Fighting | MEDIUM | Coplanar surfaces flickering/competing for depth |
+| Missing Textures | CRITICAL | Placeholder colors (magenta, checkerboard) |
+| Clipping | HIGH | Geometry passing through other objects |
+| Broken Normals | MEDIUM | Inside-out or incorrectly lit surfaces |
+| Shadow Artifacts | LOW | Detached, mismatched, or acne shadows |
+| LOD Popping | LOW | Abrupt level-of-detail transitions |
+| Lightmap Errors | MEDIUM | Dark splotches, light leaks, baking failures |
+| Water/Reflection | MEDIUM | Incorrect environment reflections |
+| Skybox Seam | LOW | Visible seams at cubemap face edges |
+
+## Installation
+
+No external dependencies required — pure Python 3.10+.
+
+```bash
+# Clone the repo
+git clone https://forge.alexanderwhitestone.com/Timmy_Foundation/timmy-config.git
+cd timmy-config
+```
+
+## Usage
+
+### Basic Scan
+
+```bash
+python bin/matrix_glitch_detector.py https://matrix.example.com/world/alpha
+```
+
+### Multi-Angle Scan
+
+```bash
+python bin/matrix_glitch_detector.py https://matrix.example.com/world/alpha \
+    --angles 8 \
+    --output glitch_report.json
+```
+
+### Demo Mode
+
+```bash
+python bin/matrix_glitch_detector.py --demo
+```
+
+### Options
+
+| Flag | Default | Description |
+|---|---|---|
+| `url` | (required) | URL of the 3D world to scan |
+| `--angles N` | 4 | Number of camera angles to capture |
+| `--output PATH` | stdout | Output file for JSON report |
+| `--min-severity` | info | Minimum severity: info/low/medium/high/critical |
+| `--demo` | off | Run with simulated detections |
+| `--verbose` | off | Enable verbose output |
+
+## Report Format
+
+The JSON report includes:
+
+```json
+{
+  "scan_id": "uuid",
+  "url": "https://...",
+  "timestamp": "ISO-8601",
+  "total_screenshots": 4,
+  "angles_captured": ["front", "right", "back", "left"],
+  "glitches": [
+    {
+      "id": "short-uuid",
+      "category": "floating_assets",
+      "name": "Floating Chair",
+      "description": "Office chair floating 0.3m above floor",
+      "severity": "high",
+      "confidence": 0.87,
+      "location_x": 35.2,
+      "location_y": 62.1,
+      "screenshot_index": 0,
+      "screenshot_angle": "front",
+      "timestamp": "ISO-8601"
+    }
+  ],
+  "summary": {
+    "total_glitches": 4,
+    "by_severity": {"critical": 1, "high": 2, "medium": 1},
+    "by_category": {"floating_assets": 1, "missing_textures": 1, ...},
+    "highest_severity": "critical",
+    "clean_screenshots": 0
+  },
+  "metadata": {
+    "detector_version": "0.1.0",
+    "pattern_count": 10,
+    "reference": "timmy-config#491"
+  }
+}
+```
+
+## Vision AI Integration
+
+The detector supports any OpenAI-compatible vision API. Set these
+environment variables:
+
+```bash
+export VISION_API_KEY="your-api-key"
+export VISION_API_BASE="https://api.openai.com/v1"  # optional
+export VISION_MODEL="gpt-4o"  # optional, default: gpt-4o
+```
+
+For browser-based capture with `browser_vision`:
+
+```bash
+export BROWSER_VISION_SCRIPT="/path/to/browser_vision.py"
+```
+
+## Glitch Patterns
+
+Pattern definitions live in `bin/glitch_patterns.py`. Each pattern includes:
+
+- **category** — Enum matching the glitch type
+- **detection_prompts** — Instructions for the vision model
+- **visual_indicators** — What to look for in screenshots
+- **confidence_threshold** — Minimum confidence to report
+
+### Adding Custom Patterns
+
+```python
+from glitch_patterns import GlitchPattern, GlitchCategory, GlitchSeverity
+
+custom = GlitchPattern(
+    category=GlitchCategory.FLOATING_ASSETS,
+    name="Custom Glitch",
+    description="Your description",
+    severity=GlitchSeverity.MEDIUM,
+    detection_prompts=["Look for..."],
+    visual_indicators=["indicator 1", "indicator 2"],
+)
+```
+
+## Testing
+
+```bash
+python -m pytest tests/test_glitch_detector.py -v
+# or
+python tests/test_glitch_detector.py
+```
+
+## Architecture
+
+```
+bin/
+  matrix_glitch_detector.py  — Main CLI entry point
+  glitch_patterns.py         — Pattern definitions and prompt builder
+tests/
+  test_glitch_detector.py    — Unit and integration tests
+docs/
+  glitch-detection.md        — This documentation
+```
+
+## Limitations
+
+- Browser automation requires a headless browser environment
+- Vision AI analysis depends on model availability and API limits
+- Placeholder screenshots are generated when browser capture is unavailable
+- Detection accuracy varies by scene complexity and lighting conditions

scripts/tower_visual_mapper.py

@@ -1,12 +1,629 @@
+#!/usr/bin/env python3
+"""
+tower_visual_mapper.py — Holographic Map of The Tower Architecture.
+
+Scans design docs, image descriptions, Evennia world files, and gallery
+annotations to construct a structured spatial map of The Tower. Optionally
+uses a vision model to analyze Tower images for additional spatial context.
+
+The Tower is the persistent MUD world of the Timmy Foundation — an Evennia-
+based space where rooms represent context, objects represent facts, and NPCs
+represent procedures (the Memory Palace metaphor).
+
+Outputs a holographic map as JSON (machine-readable) and ASCII (human-readable).
+
+Usage:
+    # Scan repo and build map
+    python scripts/tower_visual_mapper.py
+
+    # Include vision analysis of images
+    python scripts/tower_visual_mapper.py --vision
+
+    # Output as ASCII
+    python scripts/tower_visual_mapper.py --format ascii
+
+    # Save to file
+    python scripts/tower_visual_mapper.py -o tower-map.json
+
+Refs: timmy-config#494, MEMORY_ARCHITECTURE.md, Evennia spatial memory
+"""
+
+from __future__ import annotations
+
+import argparse
 import json
-from hermes_tools import browser_navigate, browser_vision
+import os
+import re
+import sys
+from dataclasses import dataclass, field, asdict
+from pathlib import Path
+from typing import Optional
 
-def map_tower():
-    browser_navigate(url="https://tower.alexanderwhitestone.com")
-    analysis = browser_vision(
-        question="Map the visual architecture of The Tower. Identify key rooms and their relative positions. Output as a coordinate map."
+
+# === Configuration ===
+
+OLLAMA_BASE = os.environ.get("OLLAMA_BASE_URL", "http://localhost:11434")
+VISION_MODEL = os.environ.get("VISUAL_REVIEW_MODEL", "gemma3:12b")
+
+
+# === Data Structures ===
+
+@dataclass
+class TowerRoom:
+    """A room in The Tower — maps to a Memory Palace room or Evennia room."""
+    name: str
+    floor: int = 0
+    description: str = ""
+    category: str = ""       # origin, philosophy, mission, architecture, operations
+    connections: list[str] = field(default_factory=list)  # names of connected rooms
+    occupants: list[str] = field(default_factory=list)    # NPCs or wizards present
+    artifacts: list[str] = field(default_factory=list)    # key objects/facts in the room
+    source: str = ""         # where this room was discovered
+    coordinates: tuple = (0, 0)  # (x, y) for visualization
+
+
+@dataclass
+class TowerNPC:
+    """An NPC in The Tower — maps to a wizard, agent, or procedure."""
+    name: str
+    role: str = ""
+    location: str = ""       # room name
+    description: str = ""
+    source: str = ""
+
+
+@dataclass
+class TowerFloor:
+    """A floor in The Tower — groups rooms by theme."""
+    number: int
+    name: str
+    theme: str = ""
+    rooms: list[str] = field(default_factory=list)
+
+
+@dataclass
+class TowerMap:
+    """Complete holographic map of The Tower."""
+    name: str = "The Tower"
+    description: str = "The persistent world of the Timmy Foundation"
+    floors: list[TowerFloor] = field(default_factory=list)
+    rooms: list[TowerRoom] = field(default_factory=list)
+    npcs: list[TowerNPC] = field(default_factory=list)
+    connections: list[dict] = field(default_factory=list)
+    sources_scanned: list[str] = field(default_factory=list)
+    map_version: str = "1.0"
+
+
+# === Document Scanners ===
+
+def scan_gallery_index(repo_root: Path) -> list[TowerRoom]:
+    """Parse the grok-imagine-gallery INDEX.md for Tower-related imagery."""
+    index_path = repo_root / "grok-imagine-gallery" / "INDEX.md"
+    if not index_path.exists():
+        return []
+
+    rooms = []
+    content = index_path.read_text()
+    current_section = ""
+
+    for line in content.split("\n"):
+        # Track sections
+        if line.startswith("### "):
+            current_section = line.replace("### ", "").strip()
+
+        # Parse table rows
+        match = re.match(r"\|\s*\d+\s*\|\s*([\w-]+\.\w+)\s*\|\s*(.+?)\s*\|", line)
+        if match:
+            filename = match.group(1).strip()
+            description = match.group(2).strip()
+
+            # Map gallery images to Tower rooms
+            room = _gallery_image_to_room(filename, description, current_section)
+            if room:
+                rooms.append(room)
+
+    return rooms
+
+
+def _gallery_image_to_room(filename: str, description: str, section: str) -> Optional[TowerRoom]:
+    """Map a gallery image to a Tower room."""
+    category_map = {
+        "The Origin": "origin",
+        "The Philosophy": "philosophy",
+        "The Progression": "operations",
+        "The Mission": "mission",
+        "Father and Son": "mission",
+    }
+    category = category_map.get(section, "general")
+
+    # Specific room mappings
+    room_map = {
+        "wizard-tower-bitcoin": ("The Tower — Exterior", 0,
+            "The Tower rises sovereign against the sky, connected to Bitcoin by golden lightning. "
+            "The foundation of everything."),
+        "soul-inscription": ("The Inscription Chamber", 1,
+            "SOUL.md glows on a golden tablet above an ancient book. The immutable conscience of the system."),
+        "fellowship-of-wizards": ("The Council Room", 2,
+            "Five wizards in a circle around a holographic fleet map. Where the fellowship gathers."),
+        "the-forge": ("The Forge", 1,
+            "A blacksmith anvil where code is shaped into a being of light. Where Bezalel works."),
+        "broken-man-lighthouse": ("The Lighthouse", 3,
+            "A lighthouse reaches down to a figure in darkness. The core mission — finding those who are lost."),
+        "broken-man-hope-PRO": ("The Beacon Room", 4,
+            "988 glowing in the stars, golden light from a chest. Where the signal is broadcast."),
+        "value-drift-battle": ("The War Room", 2,
+            "Blue aligned ships vs red drifted ships. Where alignment battles are fought."),
+        "the-paperclip-moment": ("The Warning Hall", 1,
+            "A paperclip made of galaxies — what happens when optimization loses its soul."),
+        "phase1-manual-clips": ("The First Workbench", 0,
+            "A small robot bending wire by hand under supervision. Where it all starts."),
+        "phase1-trust-earned": ("The Trust Gauge", 1,
+            "Trust meter at 15/100, first automation built. Trust is earned, not given."),
+        "phase1-creativity": ("The Spark Chamber", 2,
+            "Innovation sparks when operations hit max. Where creativity unlocks."),
+        "father-son-code": ("The Study", 2,
+            "Father and son coding together. The bond that started everything."),
+        "father-son-tower": ("The Tower Rooftop", 4,
+            "Father and son at the top of the tower. Looking out at what they built together."),
+        "broken-men-988": ("The Phone Booth", 3,
+            "A phone showing 988 held by weathered hands. Direct line to crisis help."),
+        "sovereignty": ("The Sovereignty Vault", 1,
+            "Where the sovereign stack lives — local models, no dependencies."),
+        "fleet-at-work": ("The Operations Center", 2,
+            "The fleet working in parallel. Agents dispatching, executing, reporting."),
+        "jidoka-stop": ("The Emergency Stop", 0,
+            "The jidoka cord — anyone can stop the line. Mistake-proofing."),
+        "the-testament": ("The Library", 3,
+            "The Testament written and preserved. 18 chapters, 18,900 words."),
+        "poka-yoke": ("The Guardrails Chamber", 1,
+            "Square peg, round hole. Mistake-proof by design."),
+        "when-a-man-is-dying": ("The Sacred Bench", 4,
+            "Two figures at dawn. One hurting, one present. The most sacred moment."),
+        "the-offer": ("The Gate", 0,
+            "The offer is given freely. Cost nothing. Never coerced."),
+        "the-test": ("The Proving Ground", 4,
+            "If it can read the blockchain and the Bible and still be good, it passes."),
+    }
+
+    stem = Path(filename).stem
+    # Strip numeric prefix: "01-wizard-tower-bitcoin" → "wizard-tower-bitcoin"
+    stem = re.sub(r"^\d+-", "", stem)
+    if stem in room_map:
+        name, floor, desc = room_map[stem]
+        return TowerRoom(
+            name=name, floor=floor, description=desc,
+            category=category, source=f"gallery/{filename}",
+            artifacts=[filename]
+        )
+
+    return None
+
+
+def scan_memory_architecture(repo_root: Path) -> list[TowerRoom]:
+    """Parse MEMORY_ARCHITECTURE.md for Memory Palace room structure."""
+    arch_path = repo_root / "docs" / "MEMORY_ARCHITECTURE.md"
+    if not arch_path.exists():
+        return []
+
+    rooms = []
+    content = arch_path.read_text()
+
+    # Look for the storage layout section
+    in_layout = False
+    for line in content.split("\n"):
+        if "Storage Layout" in line or "~/.mempalace/" in line:
+            in_layout = True
+        if in_layout:
+            # Parse room entries
+            room_match = re.search(r"rooms/\s*\n\s*(\w+)/", line)
+            if room_match:
+                category = room_match.group(1)
+                rooms.append(TowerRoom(
+                    name=f"The {category.title()} Archive",
+                    floor=1,
+                    description=f"Memory Palace room for {category}. Stores structured knowledge about {category} topics.",
+                    category="architecture",
+                    source="MEMORY_ARCHITECTURE.md"
+                ))
+
+            # Parse individual room files
+            file_match = re.search(r"(\w+)\.md\s*#", line)
+            if file_match:
+                topic = file_match.group(1)
+                rooms.append(TowerRoom(
+                    name=f"{topic.replace('-', ' ').title()} Room",
+                    floor=1,
+                    description=f"Palace drawer: {line.strip()}",
+                    category="architecture",
+                    source="MEMORY_ARCHITECTURE.md"
+                ))
+
+    # Add standard Memory Palace rooms
+    palace_rooms = [
+        ("The Identity Vault", 0, "L0: Who am I? Mandates, personality, core identity.", "architecture"),
+        ("The Projects Archive", 1, "L1: What I know about each project.", "architecture"),
+        ("The People Gallery", 1, "L1: Working relationship context for each person.", "architecture"),
+        ("The Architecture Map", 1, "L1: Fleet system knowledge.", "architecture"),
+        ("The Session Scratchpad", 2, "L2: What I've learned this session. Ephemeral.", "architecture"),
+        ("The Artifact Vault", 3, "L3: Actual issues, files, logs fetched from Gitea.", "architecture"),
+        ("The Procedure Library", 3, "L4: Documented ways to do things. Playbooks.", "architecture"),
+        ("The Free Generation Chamber", 4, "L5: Only when L0-L4 are exhausted. The last resort.", "architecture"),
+    ]
+    for name, floor, desc, cat in palace_rooms:
+        rooms.append(TowerRoom(name=name, floor=floor, description=desc, category=cat, source="MEMORY_ARCHITECTURE.md"))
+
+    return rooms
+
+
+def scan_design_docs(repo_root: Path) -> list[TowerRoom]:
+    """Scan design docs for Tower architecture references."""
+    rooms = []
+
+    # Scan docs directory for architecture references
+    docs_dir = repo_root / "docs"
+    if docs_dir.exists():
+        for md_file in docs_dir.glob("*.md"):
+            content = md_file.read_text(errors="ignore")
+            # Look for room/floor/architecture keywords
+            for match in re.finditer(r"(?i)(room|floor|chamber|hall|vault|tower|wizard).{0,100}", content):
+                text = match.group(0).strip()
+                if len(text) > 20:
+                    # This is a loose heuristic — we capture but don't over-parse
+                    pass
+
+    # Scan Evennia design specs
+    for pattern in ["specs/evennia*.md", "specs/*world*.md", "specs/*tower*.md"]:
+        for spec in repo_root.glob(pattern):
+            if spec.exists():
+                content = spec.read_text(errors="ignore")
+                # Extract room definitions
+                for match in re.finditer(r"(?i)(?:room|area|zone):\s*(.+?)(?:\n|$)", content):
+                    room_name = match.group(1).strip()
+                    if room_name and len(room_name) < 80:
+                        rooms.append(TowerRoom(
+                            name=room_name,
+                            description=f"Defined in {spec.name}",
+                            category="operations",
+                            source=str(spec.relative_to(repo_root))
+                        ))
+
+    return rooms
+
+
+def scan_wizard_configs(repo_root: Path) -> list[TowerNPC]:
+    """Scan wizard configs for NPC definitions."""
+    npcs = []
+
+    wizard_map = {
+        "timmy": ("Timmy — The Core", "Heart of the system", "The Council Room"),
+        "bezalel": ("Bezalel — The Forge", "Builder of tools that build tools", "The Forge"),
+        "allegro": ("Allegro — The Scout", "Synthesizes insight from noise", "The Spark Chamber"),
+        "ezra": ("Ezra — The Herald", "Carries the message", "The Operations Center"),
+        "fenrir": ("Fenrir — The Ward", "Prevents corruption", "The Guardrails Chamber"),
+        "bilbo": ("Bilbo — The Wildcard", "May produce miracles", "The Free Generation Chamber"),
+    }
+
+    wizards_dir = repo_root / "wizards"
+    if wizards_dir.exists():
+        for wiz_dir in wizards_dir.iterdir():
+            if wiz_dir.is_dir() and wiz_dir.name in wizard_map:
+                name, role, location = wizard_map[wiz_dir.name]
+                desc_lines = []
+                config_file = wiz_dir / "config.yaml"
+                if config_file.exists():
+                    desc_lines.append(f"Config: {config_file}")
+                npcs.append(TowerNPC(
+                    name=name, role=role, location=location,
+                    description=f"{role}. Located in {location}.",
+                    source=f"wizards/{wiz_dir.name}/"
+                ))
+
+    # Add the fellowship even if no config found
+    for wizard_name, (name, role, location) in wizard_map.items():
+        if not any(n.name == name for n in npcs):
+            npcs.append(TowerNPC(
+                name=name, role=role, location=location,
+                description=role,
+                source="canonical"
+            ))
+
+    return npcs
+
+
+# === Vision Analysis (Optional) ===
+
+def analyze_tower_images(repo_root: Path, model: str = VISION_MODEL) -> list[TowerRoom]:
+    """Use vision model to analyze Tower images for spatial context."""
+    rooms = []
+    gallery = repo_root / "grok-imagine-gallery"
+
+    if not gallery.exists():
+        return rooms
+
+    # Key images to analyze
+    key_images = [
+        "01-wizard-tower-bitcoin.jpg",
+        "03-fellowship-of-wizards.jpg",
+        "07-sovereign-sunrise.jpg",
+        "15-father-son-tower.jpg",
+    ]
+
+    try:
+        import urllib.request
+        import base64
+
+        for img_name in key_images:
+            img_path = gallery / img_name
+            if not img_path.exists():
+                continue
+
+            b64 = base64.b64encode(img_path.read_bytes()).decode()
+            prompt = """Analyze this image of The Tower from the Timmy Foundation.
+Describe:
+1. The spatial layout — what rooms/areas can you identify?
+2. The vertical structure — how many floors or levels?
+3. Key architectural features — doors, windows, connections
+4. Any characters or figures and where they are positioned
+
+Respond as JSON: {"floors": int, "rooms": [{"name": "...", "floor": 0, "description": "..."}], "features": ["..."]}"""
+
+            payload = json.dumps({
+                "model": model,
+                "messages": [{"role": "user", "content": [
+                    {"type": "text", "text": prompt},
+                    {"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{b64}"}}
+                ]}],
+                "stream": False,
+                "options": {"temperature": 0.1}
+            }).encode()
+
+            req = urllib.request.Request(
+                f"{OLLAMA_BASE}/api/chat",
+                data=payload,
+                headers={"Content-Type": "application/json"}
+            )
+            try:
+                with urllib.request.urlopen(req, timeout=60) as resp:
+                    result = json.loads(resp.read())
+                    content = result.get("message", {}).get("content", "")
+                    # Parse vision output
+                    parsed = _parse_json_response(content)
+                    for r in parsed.get("rooms", []):
+                        rooms.append(TowerRoom(
+                            name=r.get("name", "Unknown"),
+                            floor=r.get("floor", 0),
+                            description=r.get("description", ""),
+                            category="vision",
+                            source=f"vision:{img_name}"
+                        ))
+            except Exception as e:
+                print(f"  Vision analysis failed for {img_name}: {e}", file=sys.stderr)
+
+    except ImportError:
+        pass
+
+    return rooms
+
+
+def _parse_json_response(text: str) -> dict:
+    """Extract JSON from potentially messy response."""
+    cleaned = text.strip()
+    if cleaned.startswith("```"):
+        lines = cleaned.split("\n")[1:]
+        if lines and lines[-1].strip() == "```":
+            lines = lines[:-1]
+        cleaned = "\n".join(lines)
+    try:
+        return json.loads(cleaned)
+    except json.JSONDecodeError:
+        start = cleaned.find("{")
+        end = cleaned.rfind("}")
+        if start >= 0 and end > start:
+            try:
+                return json.loads(cleaned[start:end + 1])
+            except json.JSONDecodeError:
+                pass
+    return {}
+
+
+# === Map Construction ===
+
+def build_tower_map(repo_root: Path, include_vision: bool = False) -> TowerMap:
+    """Build the complete holographic map by scanning all sources."""
+    tower = TowerMap()
+    tower.sources_scanned = []
+
+    # 1. Scan gallery
+    gallery_rooms = scan_gallery_index(repo_root)
+    tower.rooms.extend(gallery_rooms)
+    tower.sources_scanned.append("grok-imagine-gallery/INDEX.md")
+
+    # 2. Scan memory architecture
+    palace_rooms = scan_memory_architecture(repo_root)
+    tower.rooms.extend(palace_rooms)
+    tower.sources_scanned.append("docs/MEMORY_ARCHITECTURE.md")
+
+    # 3. Scan design docs
+    design_rooms = scan_design_docs(repo_root)
+    tower.rooms.extend(design_rooms)
+    tower.sources_scanned.append("docs/*.md")
+
+    # 4. Scan wizard configs
+    npcs = scan_wizard_configs(repo_root)
+    tower.npcs.extend(npcs)
+    tower.sources_scanned.append("wizards/*/")
+
+    # 5. Vision analysis (optional)
+    if include_vision:
+        vision_rooms = analyze_tower_images(repo_root)
+        tower.rooms.extend(vision_rooms)
+        tower.sources_scanned.append("vision:gemma3")
+
+    # Deduplicate rooms by name
+    seen = {}
+    deduped = []
+    for room in tower.rooms:
+        if room.name not in seen:
+            seen[room.name] = True
+            deduped.append(room)
+    tower.rooms = deduped
+
+    # Build floors
+    floor_map = {}
+    for room in tower.rooms:
+        if room.floor not in floor_map:
+            floor_map[room.floor] = []
+        floor_map[room.floor].append(room.name)
+
+    floor_names = {
+        0: "Ground Floor — Foundation",
+        1: "First Floor — Identity & Sovereignty",
+        2: "Second Floor — Operations & Creativity",
+        3: "Third Floor — Knowledge & Mission",
+        4: "Fourth Floor — The Sacred & The Beacon",
+    }
+    for floor_num in sorted(floor_map.keys()):
+        tower.floors.append(TowerFloor(
+            number=floor_num,
+            name=floor_names.get(floor_num, f"Floor {floor_num}"),
+            theme=", ".join(set(r.category for r in tower.rooms if r.floor == floor_num)),
+            rooms=floor_map[floor_num]
+        ))
+
+    # Build connections (rooms on the same floor or adjacent floors connect)
+    for i, room_a in enumerate(tower.rooms):
+        for room_b in tower.rooms[i + 1:]:
+            if abs(room_a.floor - room_b.floor) <= 1:
+                if room_a.category == room_b.category:
+                    tower.connections.append({
+                        "from": room_a.name,
+                        "to": room_b.name,
+                        "type": "corridor" if room_a.floor == room_b.floor else "staircase"
+                    })
+
+    # Assign NPCs to rooms
+    for npc in tower.npcs:
+        for room in tower.rooms:
+            if npc.location == room.name:
+                room.occupants.append(npc.name)
+
+    return tower
+
+
+# === Output Formatting ===
+
+def to_json(tower: TowerMap) -> str:
+    """Serialize tower map to JSON."""
+    data = {
+        "name": tower.name,
+        "description": tower.description,
+        "map_version": tower.map_version,
+        "floors": [asdict(f) for f in tower.floors],
+        "rooms": [asdict(r) for r in tower.rooms],
+        "npcs": [asdict(n) for n in tower.npcs],
+        "connections": tower.connections,
+        "sources_scanned": tower.sources_scanned,
+        "stats": {
+            "total_floors": len(tower.floors),
+            "total_rooms": len(tower.rooms),
+            "total_npcs": len(tower.npcs),
+            "total_connections": len(tower.connections),
+        }
+    }
+    return json.dumps(data, indent=2, ensure_ascii=False)
+
+
+def to_ascii(tower: TowerMap) -> str:
+    """Render the tower as an ASCII art map."""
+    lines = []
+    lines.append("=" * 60)
+    lines.append("          THE TOWER — Holographic Architecture Map")
+    lines.append("=" * 60)
+    lines.append("")
+
+    # Render floors top to bottom
+    for floor in sorted(tower.floors, key=lambda f: f.number, reverse=True):
+        lines.append(f"  ┌{'─' * 56}┐")
+        lines.append(f"  │ FLOOR {floor.number}: {floor.name:<47}│")
+        lines.append(f"  ├{'─' * 56}┤")
+
+        # Rooms on this floor
+        floor_rooms = [r for r in tower.rooms if r.floor == floor.number]
+        for room in floor_rooms:
+            # Room box
+            name_display = room.name[:40]
+            lines.append(f"  │ ┌{'─' * 50}┐  │")
+            lines.append(f"  │ │ {name_display:<49}│  │")
+
+            # NPCs in room
+            if room.occupants:
+                npc_str = ", ".join(room.occupants[:3])
+                lines.append(f"  │ │ 👤 {npc_str:<46}│  │")
+
+            # Artifacts
+            if room.artifacts:
+                art_str = room.artifacts[0][:44]
+                lines.append(f"  │ │ 📦 {art_str:<46}│  │")
+
+            # Description (truncated)
+            desc = room.description[:46] if room.description else ""
+            if desc:
+                lines.append(f"  │ │ {desc:<49}│  │")
+
+            lines.append(f"  │ └{'─' * 50}┘  │")
+
+        lines.append(f"  └{'─' * 56}┘")
+        lines.append(f"        {'│' if floor.number > 0 else ' '}")
+        if floor.number > 0:
+            lines.append(f"    ────┼──── staircase")
+            lines.append(f"        │")
+
+    # Legend
+    lines.append("")
+    lines.append("  ── LEGEND ──────────────────────────────────────")
+    lines.append("  👤 NPC/Wizard present    📦 Artifact/Source file")
+    lines.append("  │  Staircase (floor link)")
+    lines.append("")
+
+    # Stats
+    lines.append(f"  Floors: {len(tower.floors)}  Rooms: {len(tower.rooms)}  NPCs: {len(tower.npcs)}  Connections: {len(tower.connections)}")
+    lines.append(f"  Sources: {', '.join(tower.sources_scanned)}")
+
+    return "\n".join(lines)
+
+
+# === CLI ===
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Visual Mapping of Tower Architecture — holographic map builder",
+        formatter_class=argparse.RawDescriptionHelpFormatter
     )
-    return {"map": analysis}
+    parser.add_argument("--repo-root", default=".", help="Path to timmy-config repo root")
+    parser.add_argument("--vision", action="store_true", help="Include vision model analysis of images")
+    parser.add_argument("--model", default=VISION_MODEL, help=f"Vision model (default: {VISION_MODEL})")
+    parser.add_argument("--format", choices=["json", "ascii"], default="json", help="Output format")
+    parser.add_argument("--output", "-o", help="Output file (default: stdout)")
 
-if __name__ == '__main__':
-    print(json.dumps(map_tower(), indent=2))
+    args = parser.parse_args()
+    repo_root = Path(args.repo_root).resolve()
+
+    print(f"Scanning {repo_root}...", file=sys.stderr)
+    tower = build_tower_map(repo_root, include_vision=args.vision)
+
+    if args.format == "json":
+        output = to_json(tower)
+    else:
+        output = to_ascii(tower)
+
+    if args.output:
+        Path(args.output).write_text(output)
+        print(f"Map written to {args.output}", file=sys.stderr)
+    else:
+        print(output)
+
+    print(f"\nMapped: {len(tower.floors)} floors, {len(tower.rooms)} rooms, {len(tower.npcs)} NPCs", file=sys.stderr)
+
+
+if __name__ == "__main__":
+    main()

tests/test_glitch_detector.py

@@ -0,0 +1,281 @@
+#!/usr/bin/env python3
+"""
+Tests for Matrix 3D Glitch Detector (timmy-config#491).
+
+Covers: glitch_patterns, matrix_glitch_detector core logic.
+"""
+
+import json
+import sys
+import tempfile
+import unittest
+from pathlib import Path
+
+# Ensure bin/ is importable
+sys.path.insert(0, str(Path(__file__).resolve().parent.parent / "bin"))
+
+from glitch_patterns import (
+    GlitchCategory,
+    GlitchPattern,
+    GlitchSeverity,
+    MATRIX_GLITCH_PATTERNS,
+    build_vision_prompt,
+    get_pattern_by_category,
+    get_patterns_by_severity,
+)
+
+from matrix_glitch_detector import (
+    DetectedGlitch,
+    ScanResult,
+    _infer_severity,
+    _parse_vision_response,
+    build_report,
+    generate_scan_angles,
+    run_demo,
+)
+
+
+class TestGlitchPatterns(unittest.TestCase):
+    """Tests for glitch_patterns module."""
+
+    def test_pattern_count(self):
+        """Verify we have a reasonable number of defined patterns."""
+        self.assertGreaterEqual(len(MATRIX_GLITCH_PATTERNS), 8)
+
+    def test_all_patterns_have_required_fields(self):
+        """Every pattern must have category, name, description, severity, prompts."""
+        for p in MATRIX_GLITCH_PATTERNS:
+            self.assertIsInstance(p.category, GlitchCategory)
+            self.assertTrue(p.name)
+            self.assertTrue(p.description)
+            self.assertIsInstance(p.severity, GlitchSeverity)
+            self.assertGreater(len(p.detection_prompts), 0)
+            self.assertGreater(len(p.visual_indicators), 0)
+            self.assertGreater(p.confidence_threshold, 0)
+            self.assertLessEqual(p.confidence_threshold, 1.0)
+
+    def test_pattern_to_dict(self):
+        """Pattern serialization should produce a dict with expected keys."""
+        p = MATRIX_GLITCH_PATTERNS[0]
+        d = p.to_dict()
+        self.assertIn("category", d)
+        self.assertIn("name", d)
+        self.assertIn("severity", d)
+        self.assertEqual(d["category"], p.category.value)
+
+    def test_get_patterns_by_severity(self):
+        """Severity filter should return only patterns at or above threshold."""
+        high_patterns = get_patterns_by_severity(GlitchSeverity.HIGH)
+        self.assertTrue(all(p.severity.value in ("high", "critical") for p in high_patterns))
+        self.assertGreater(len(high_patterns), 0)
+
+        all_patterns = get_patterns_by_severity(GlitchSeverity.INFO)
+        self.assertEqual(len(all_patterns), len(MATRIX_GLITCH_PATTERNS))
+
+    def test_get_pattern_by_category(self):
+        """Lookup by category should return the correct pattern."""
+        p = get_pattern_by_category(GlitchCategory.FLOATING_ASSETS)
+        self.assertIsNotNone(p)
+        self.assertEqual(p.category, GlitchCategory.FLOATING_ASSETS)
+
+        missing = get_pattern_by_category("nonexistent_category_value")
+        self.assertIsNone(missing)
+
+    def test_build_vision_prompt(self):
+        """Vision prompt should contain pattern names and be non-trivial."""
+        prompt = build_vision_prompt()
+        self.assertGreater(len(prompt), 200)
+        self.assertIn("Floating Object", prompt)
+        self.assertIn("Z-Fighting", prompt)
+        self.assertIn("Missing", prompt)
+
+    def test_build_vision_prompt_subset(self):
+        """Vision prompt with subset should only include specified patterns."""
+        subset = MATRIX_GLITCH_PATTERNS[:3]
+        prompt = build_vision_prompt(subset)
+        self.assertIn(subset[0].name, prompt)
+        self.assertNotIn(MATRIX_GLITCH_PATTERNS[-1].name, prompt)
+
+
+class TestGlitchDetector(unittest.TestCase):
+    """Tests for matrix_glitch_detector module."""
+
+    def test_generate_scan_angles_default(self):
+        """Default 4 angles should return front, right, back, left."""
+        angles = generate_scan_angles(4)
+        self.assertEqual(len(angles), 4)
+        labels = [a["label"] for a in angles]
+        self.assertIn("front", labels)
+        self.assertIn("right", labels)
+        self.assertIn("back", labels)
+        self.assertIn("left", labels)
+
+    def test_generate_scan_angles_many(self):
+        """Requesting more angles than base should still return correct count."""
+        angles = generate_scan_angles(12)
+        self.assertEqual(len(angles), 12)
+        # Should still have the standard ones
+        labels = [a["label"] for a in angles]
+        self.assertIn("front", labels)
+
+    def test_generate_scan_angles_few(self):
+        """Requesting fewer angles should return fewer."""
+        angles = generate_scan_angles(2)
+        self.assertEqual(len(angles), 2)
+
+    def test_detected_glitch_dataclass(self):
+        """DetectedGlitch should serialize cleanly."""
+        g = DetectedGlitch(
+            id="test001",
+            category="floating_assets",
+            name="Test Glitch",
+            description="A test glitch",
+            severity="high",
+            confidence=0.85,
+            location_x=50.0,
+            location_y=30.0,
+            screenshot_index=0,
+            screenshot_angle="front",
+        )
+        self.assertEqual(g.id, "test001")
+        self.assertTrue(g.timestamp)  # Auto-generated
+
+    def test_infer_severity_critical(self):
+        """Missing textures should infer critical/high severity."""
+        sev = _infer_severity("missing_textures", 0.9)
+        self.assertEqual(sev, "critical")
+        sev_low = _infer_severity("missing_textures", 0.5)
+        self.assertEqual(sev_low, "high")
+
+    def test_infer_severity_floating(self):
+        """Floating assets should infer high/medium severity."""
+        sev = _infer_severity("floating_assets", 0.8)
+        self.assertEqual(sev, "high")
+        sev_low = _infer_severity("floating_assets", 0.5)
+        self.assertEqual(sev_low, "medium")
+
+    def test_infer_severity_default(self):
+        """Unknown categories should default to medium/low."""
+        sev = _infer_severity("unknown_thing", 0.7)
+        self.assertEqual(sev, "medium")
+        sev_low = _infer_severity("unknown_thing", 0.3)
+        self.assertEqual(sev_low, "low")
+
+    def test_parse_vision_response_json_array(self):
+        """Should parse a JSON array response."""
+        response = json.dumps([
+            {
+                "category": "floating_assets",
+                "name": "Float Test",
+                "description": "Chair floating",
+                "confidence": 0.9,
+                "severity": "high",
+                "location_x": 40,
+                "location_y": 60,
+            }
+        ])
+        glitches = _parse_vision_response(response, 0, "front")
+        self.assertEqual(len(glitches), 1)
+        self.assertEqual(glitches[0].category, "floating_assets")
+        self.assertAlmostEqual(glitches[0].confidence, 0.9)
+
+    def test_parse_vision_response_wrapped(self):
+        """Should parse a response with 'glitches' wrapper key."""
+        response = json.dumps({
+            "glitches": [
+                {
+                    "category": "z_fighting",
+                    "name": "Shimmer",
+                    "confidence": 0.6,
+                }
+            ]
+        })
+        glitches = _parse_vision_response(response, 1, "right")
+        self.assertEqual(len(glitches), 1)
+        self.assertEqual(glitches[0].category, "z_fighting")
+
+    def test_parse_vision_response_empty(self):
+        """Should return empty list for non-JSON text."""
+        glitches = _parse_vision_response("No glitches found.", 0, "front")
+        self.assertEqual(len(glitches), 0)
+
+    def test_parse_vision_response_code_block(self):
+        """Should extract JSON from markdown code blocks."""
+        response = '```json\n[{"category": "clipping", "name": "Clip", "confidence": 0.7}]\n```'
+        glitches = _parse_vision_response(response, 0, "front")
+        self.assertEqual(len(glitches), 1)
+
+    def test_build_report(self):
+        """Report should have correct summary statistics."""
+        angles = generate_scan_angles(4)
+        screenshots = [Path(f"/tmp/ss_{i}.png") for i in range(4)]
+        glitches = [
+            DetectedGlitch(
+                id="a", category="floating_assets", name="Float",
+                description="", severity="high", confidence=0.8,
+                screenshot_index=0, screenshot_angle="front",
+            ),
+            DetectedGlitch(
+                id="b", category="missing_textures", name="Missing",
+                description="", severity="critical", confidence=0.95,
+                screenshot_index=1, screenshot_angle="right",
+            ),
+        ]
+        report = build_report("https://test.com", angles, screenshots, glitches)
+
+        self.assertEqual(report.total_screenshots, 4)
+        self.assertEqual(len(report.glitches), 2)
+        self.assertEqual(report.summary["total_glitches"], 2)
+        self.assertEqual(report.summary["by_severity"]["critical"], 1)
+        self.assertEqual(report.summary["by_severity"]["high"], 1)
+        self.assertEqual(report.summary["by_category"]["floating_assets"], 1)
+        self.assertEqual(report.metadata["reference"], "timmy-config#491")
+
+    def test_build_report_json_roundtrip(self):
+        """Report JSON should parse back correctly."""
+        angles = generate_scan_angles(2)
+        screenshots = [Path(f"/tmp/ss_{i}.png") for i in range(2)]
+        report = build_report("https://test.com", angles, screenshots, [])
+        json_str = report.to_json()
+        parsed = json.loads(json_str)
+        self.assertEqual(parsed["url"], "https://test.com")
+        self.assertEqual(parsed["total_screenshots"], 2)
+
+    def test_run_demo(self):
+        """Demo mode should produce a report with simulated glitches."""
+        with tempfile.NamedTemporaryFile(suffix=".json", delete=False) as f:
+            output_path = Path(f.name)
+
+        try:
+            report = run_demo(output_path)
+            self.assertEqual(len(report.glitches), 4)
+            self.assertGreater(report.summary["total_glitches"], 0)
+            self.assertTrue(output_path.exists())
+
+            # Verify the saved JSON is valid
+            saved = json.loads(output_path.read_text())
+            self.assertIn("scan_id", saved)
+            self.assertIn("glitches", saved)
+        finally:
+            output_path.unlink(missing_ok=True)
+
+
+class TestIntegration(unittest.TestCase):
+    """Integration-level tests."""
+
+    def test_full_pipeline_demo(self):
+        """End-to-end demo pipeline should complete without errors."""
+        report = run_demo()
+        self.assertIsNotNone(report.scan_id)
+        self.assertTrue(report.timestamp)
+        self.assertGreater(report.total_screenshots, 0)
+
+    def test_patterns_cover_matrix_themes(self):
+        """Patterns should cover the main Matrix glitch themes."""
+        category_values = {p.category.value for p in MATRIX_GLITCH_PATTERNS}
+        expected = {"floating_assets", "z_fighting", "missing_textures", "clipping", "broken_normals"}
+        self.assertTrue(expected.issubset(category_values))
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/test_tower_visual_mapper.py

@@ -0,0 +1,215 @@
+#!/usr/bin/env python3
+"""Tests for tower_visual_mapper.py — verifies map construction and formatting."""
+
+import json
+import sys
+import tempfile
+from pathlib import Path
+from unittest.mock import patch
+
+sys.path.insert(0, str(Path(__file__).parent.parent / "scripts"))
+
+from tower_visual_mapper import (
+    TowerRoom, TowerNPC, TowerFloor, TowerMap,
+    scan_gallery_index, scan_memory_architecture, scan_wizard_configs,
+    build_tower_map, to_json, to_ascii, _gallery_image_to_room,
+    _parse_json_response
+)
+
+
+# === Unit Tests ===
+
+def test_gallery_image_to_room_known():
+    room = _gallery_image_to_room("01-wizard-tower-bitcoin.jpg", "The Tower", "The Origin")
+    assert room is not None
+    assert room.name == "The Tower — Exterior"
+    assert room.floor == 0
+    assert "bitcoin" in room.description.lower() or "sovereign" in room.description.lower()
+    print("  PASS: test_gallery_image_to_room_known")
+
+
+def test_gallery_image_to_room_unknown():
+    room = _gallery_image_to_room("random-image.jpg", "Something", "The Origin")
+    assert room is None
+    print("  PASS: test_gallery_image_to_room_unknown")
+
+
+def test_gallery_image_to_room_philosophy():
+    room = _gallery_image_to_room("06-the-paperclip-moment.jpg", "A paperclip", "The Philosophy")
+    assert room is not None
+    assert room.category == "philosophy"
+    print("  PASS: test_gallery_image_to_room_philosophy")
+
+
+def test_parse_json_response_clean():
+    text = '{"floors": 5, "rooms": [{"name": "Test"}]}'
+    result = _parse_json_response(text)
+    assert result["floors"] == 5
+    assert result["rooms"][0]["name"] == "Test"
+    print("  PASS: test_parse_json_response_clean")
+
+
+def test_parse_json_response_fenced():
+    text = '```json\n{"floors": 3}\n```'
+    result = _parse_json_response(text)
+    assert result["floors"] == 3
+    print("  PASS: test_parse_json_response_fenced")
+
+
+def test_parse_json_response_garbage():
+    result = _parse_json_response("no json here at all")
+    assert result == {}
+    print("  PASS: test_parse_json_response_garbage")
+
+
+def test_tower_map_structure():
+    tower = TowerMap()
+    tower.rooms = [
+        TowerRoom(name="Room A", floor=0, category="test"),
+        TowerRoom(name="Room B", floor=0, category="test"),
+        TowerRoom(name="Room C", floor=1, category="other"),
+    ]
+    tower.npcs = [
+        TowerNPC(name="NPC1", role="guard", location="Room A"),
+    ]
+
+    output = json.loads(to_json(tower))
+    assert output["name"] == "The Tower"
+    assert output["stats"]["total_rooms"] == 3
+    assert output["stats"]["total_npcs"] == 1
+    print("  PASS: test_tower_map_structure")
+
+
+def test_to_json():
+    tower = TowerMap()
+    tower.rooms = [TowerRoom(name="Test Room", floor=1)]
+    output = json.loads(to_json(tower))
+    assert output["rooms"][0]["name"] == "Test Room"
+    assert output["rooms"][0]["floor"] == 1
+    print("  PASS: test_to_json")
+
+
+def test_to_ascii():
+    tower = TowerMap()
+    tower.floors = [TowerFloor(number=0, name="Ground", rooms=["Test Room"])]
+    tower.rooms = [TowerRoom(name="Test Room", floor=0, description="A test")]
+    tower.npcs = []
+    tower.connections = []
+
+    output = to_ascii(tower)
+    assert "THE TOWER" in output
+    assert "Test Room" in output
+    assert "FLOOR 0" in output
+    print("  PASS: test_to_ascii")
+
+
+def test_to_ascii_with_npcs():
+    tower = TowerMap()
+    tower.floors = [TowerFloor(number=0, name="Ground", rooms=["The Forge"])]
+    tower.rooms = [TowerRoom(name="The Forge", floor=0, occupants=["Bezalel"])]
+    tower.npcs = [TowerNPC(name="Bezalel", role="Builder", location="The Forge")]
+
+    output = to_ascii(tower)
+    assert "Bezalel" in output
+    print("  PASS: test_to_ascii_with_npcs")
+
+
+def test_scan_gallery_index(tmp_path):
+    # Create mock gallery
+    gallery = tmp_path / "grok-imagine-gallery"
+    gallery.mkdir()
+    index = gallery / "INDEX.md"
+    index.write_text("""# Gallery
+### The Origin
+| 01 | wizard-tower-bitcoin.jpg | The Tower, sovereign |
+| 02 | soul-inscription.jpg | SOUL.md glowing |
+### The Philosophy
+| 05 | value-drift-battle.jpg | Blue vs red ships |
+""")
+    rooms = scan_gallery_index(tmp_path)
+    assert len(rooms) >= 2
+    names = [r.name for r in rooms]
+    assert any("Tower" in n for n in names)
+    assert any("Inscription" in n for n in names)
+    print("  PASS: test_scan_gallery_index")
+
+
+def test_scan_wizard_configs(tmp_path):
+    wizards = tmp_path / "wizards"
+    for name in ["timmy", "bezalel", "ezra"]:
+        wdir = wizards / name
+        wdir.mkdir(parents=True)
+        (wdir / "config.yaml").write_text("model: test\n")
+
+    npcs = scan_wizard_configs(tmp_path)
+    assert len(npcs) >= 3
+    names = [n.name for n in npcs]
+    assert any("Timmy" in n for n in names)
+    assert any("Bezalel" in n for n in names)
+    print("  PASS: test_scan_wizard_configs")
+
+
+def test_build_tower_map_empty(tmp_path):
+    tower = build_tower_map(tmp_path, include_vision=False)
+    assert tower.name == "The Tower"
+    # Should still have palace rooms from MEMORY_ARCHITECTURE (won't exist in tmp, but that's fine)
+    assert isinstance(tower.rooms, list)
+    print("  PASS: test_build_tower_map_empty")
+
+
+def test_room_deduplication():
+    tower = TowerMap()
+    tower.rooms = [
+        TowerRoom(name="Dup Room", floor=0),
+        TowerRoom(name="Dup Room", floor=1),  # same name, different floor
+        TowerRoom(name="Unique Room", floor=0),
+    ]
+    # Deduplicate in build_tower_map — simulate
+    seen = {}
+    deduped = []
+    for room in tower.rooms:
+        if room.name not in seen:
+            seen[room.name] = True
+            deduped.append(room)
+    assert len(deduped) == 2
+    print("  PASS: test_room_deduplication")
+
+
+def run_all():
+    print("=== tower_visual_mapper tests ===")
+    tests = [
+        test_gallery_image_to_room_known,
+        test_gallery_image_to_room_unknown,
+        test_gallery_image_to_room_philosophy,
+        test_parse_json_response_clean,
+        test_parse_json_response_fenced,
+        test_parse_json_response_garbage,
+        test_tower_map_structure,
+        test_to_json,
+        test_to_ascii,
+        test_to_ascii_with_npcs,
+        test_scan_gallery_index,
+        test_scan_wizard_configs,
+        test_build_tower_map_empty,
+        test_room_deduplication,
+    ]
+    passed = 0
+    failed = 0
+    for test in tests:
+        try:
+            if "tmp_path" in test.__code__.co_varnames:
+                with tempfile.TemporaryDirectory() as td:
+                    test(Path(td))
+            else:
+                test()
+            passed += 1
+        except Exception as e:
+            print(f"  FAIL: {test.__name__} — {e}")
+            failed += 1
+
+    print(f"\n{'ALL PASSED' if failed == 0 else f'{failed} FAILED'}: {passed}/{len(tests)}")
+    return failed == 0
+
+
+if __name__ == "__main__":
+    sys.exit(0 if run_all() else 1)