diagnose-leaks

Diagnose Thinking Trace Leaks

Debug and verify the three-layer defense against internal content leaking into user-visible messages.

Background

Complex group chat scenarios with multiple concurrent requests (webcam + web fetch + conversation) can cause internal thinking traces and session IDs to leak. This skill helps diagnose such issues.

Quick Diagnostics

1. Check for Recent Filtered Content

# Look for sanitization activity in logs (DEBUG level)
grep -i "Filtered from response" ~/.claude-mind/system/logs/samara.log | tail -20

# Check if sanitization is actively filtering
grep -E "(THINKING|SESSION_ID|ANTML)" ~/.claude-mind/system/logs/samara.log | tail -10

2. Verify MessageBus Routing

# All sends should go through MessageBus - look for source tags
grep -E "\[(iMessage|Location|Wake|Alert|Queue|Webcam|WebFetch)\]" ~/.claude-mind/system/logs/samara.log | tail -20

# Check for any direct sender bypasses (should NOT appear after fix)
grep "sender\.send" ~/Developer/samara-main/Samara/Samara/*.swift | grep -v MessageBus

3. Check Recent Episode Logs for Leaked Content

# Look for session ID patterns in episode logs (SHOULD NOT be there)
grep -E "\d{10}-\d{5}" ~/.claude-mind/memory/episodes/$(date +%Y-%m-%d).md

# Look for thinking block markers that escaped
grep -i "<thinking>" ~/.claude-mind/memory/episodes/$(date +%Y-%m-%d).md

4. Run Sanitization Tests

cd ~/Developer/samara-main/Samara
xcodebuild test -scheme SamaraTests -destination 'platform=macOS' 2>&1 | grep -E "SanitizationTests"

Leak Patterns to Watch For

Architecture Verification

Layer 1: Output Sanitization

• File: Samara/Samara/Actions/ClaudeInvoker.swift
• Method: sanitizeResponse()
• Filters: <thinking> blocks, session IDs, XML markers

Layer 2: MessageBus Coordination

• File: Samara/Samara/Actions/MessageBus.swift
• All sends should use messageBus.send() with type tag
• Verify: No direct sender.send() calls in main.swift

Layer 3: TaskRouter Isolation

• File: Samara/Samara/Mind/TaskRouter.swift
• Classifies: conversation, webcam, webFetch, skill tasks
• Isolates parallel tasks to prevent cross-contamination

If Leaks Are Found

1. Identify the leak source from logs
2. Check if it's a new pattern not covered by sanitization
3. Add test case to SanitizationTests.swift
4. Update sanitizeResponse() with new filter
5. Rebuild Samara: ~/.claude-mind/system/bin/update-samara

Report Template

When reporting a leak issue:

1. What content leaked (exact text)
2. Context (group chat? concurrent tasks?)
3. Timestamp (to correlate with logs)
4. Log entries showing sanitization activity
5. Whether tests pass