Add Discord-native hybrid front-end for Jarvis (bot + bridge)

Transform isair/jarvis into a Discord-controlled voice assistant running on
the Ubuntu VNC desktop, keeping the mature ~39k-line Python brain intact.

- bot/ (Node + bun, discord.js): /자비스 slash commands (ephemeral),
  voice channel join + voice receive/playback, pluggable VNC screen broadcast
  (selfbot live / noVNC / screenshot)
- bridge/ (Python, Flask): wraps jarvis STT + run_reply_engine + Piper TTS
  behind a thin localhost HTTP API
- .env.example, scripts/ (start_bridge/start_bot/dev), README rewrite,
  docs/language-comparison.md and docs/vnc-xfce-setup.md

Language decision: hybrid (Python brain + Node/bun Discord layer) because
Discord blocks bot video; native screen broadcast only works via a Node
selfbot library.

tests/test_wake_detection.py

@@ -0,0 +1,88 @@
+"""
+Tests for wake word detection and query extraction.
+"""
+
+import pytest
+
+from jarvis.listening.wake_detection import (
+    is_wake_word_detected,
+    extract_query_after_wake,
+    is_stop_command,
+)
+
+
+@pytest.mark.unit
+class TestWakeWordDetection:
+    """Tests for is_wake_word_detected."""
+
+    def test_exact_match(self):
+        assert is_wake_word_detected("hey jarvis", "jarvis", []) is True
+
+    def test_alias_match(self):
+        assert is_wake_word_detected("hey computer", "jarvis", ["computer"]) is True
+
+    def test_no_match(self):
+        assert is_wake_word_detected("hello world", "jarvis", []) is False
+
+    def test_empty_text(self):
+        assert is_wake_word_detected("", "jarvis", []) is False
+
+    def test_fuzzy_match(self):
+        """Fuzzy matching catches slight transcription errors."""
+        assert is_wake_word_detected("hey jarvas", "jarvis", [], fuzzy_ratio=0.78) is True
+
+    def test_fuzzy_below_threshold(self):
+        """Completely different word doesn't fuzzy-match."""
+        assert is_wake_word_detected("hey banana", "jarvis", [], fuzzy_ratio=0.78) is False
+
+
+@pytest.mark.unit
+class TestExtractQueryAfterWake:
+    """Tests for extract_query_after_wake."""
+
+    def test_extracts_query(self):
+        result = extract_query_after_wake("jarvis what time is it", "jarvis", [])
+        assert result == "what time is it"
+
+    def test_extracts_query_with_alias(self):
+        result = extract_query_after_wake("hey computer what time is it", "jarvis", ["hey computer"])
+        assert result == "what time is it"
+
+    def test_wake_word_only_returns_empty(self):
+        """When only the wake word is said, return empty string (no hardcoded fallback)."""
+        result = extract_query_after_wake("jarvis", "jarvis", [])
+        assert result == ""
+
+    def test_wake_word_with_punctuation_only_returns_empty(self):
+        """Wake word followed by just punctuation returns empty string."""
+        result = extract_query_after_wake("jarvis,", "jarvis", [])
+        assert result == ""
+
+    def test_empty_text(self):
+        result = extract_query_after_wake("", "jarvis", [])
+        assert result == ""
+
+    def test_strips_leading_punctuation(self):
+        result = extract_query_after_wake("jarvis, tell me a joke", "jarvis", [])
+        assert result == "tell me a joke"
+
+
+@pytest.mark.unit
+class TestStopCommand:
+    """Tests for is_stop_command."""
+
+    def test_exact_stop_command(self):
+        assert is_stop_command("stop", ["stop", "quiet"]) is True
+
+    def test_stop_command_in_phrase(self):
+        assert is_stop_command("please stop talking", ["stop", "quiet"]) is True
+
+    def test_no_stop_command(self):
+        assert is_stop_command("what is the weather", ["stop", "quiet"]) is False
+
+    def test_empty_text(self):
+        assert is_stop_command("", ["stop", "quiet"]) is False
+
+    def test_fuzzy_stop_command(self):
+        """Short input fuzzy-matches stop commands."""
+        assert is_stop_command("stob", ["stop", "quiet"], fuzzy_ratio=0.7) is True