ClawdScan — Session Health Analyzer

🔍 Diagnose bloat, find zombies, reclaim disk space

ClawdScan is a zero-dependency Python CLI that analyzes Clawdbot/OpenClaw session JSONL files to identify bloated sessions, zombies, stale files, and provides actionable cleanup recommendations.

Features

• Session Health Analysis - Detect bloated sessions, high message counts, disk usage patterns
• Zombie Detection - Find sessions created but never used
• Stale Session Identification - Identify sessions inactive for configurable periods
• Tool Usage Analytics - Track which tools are being used and how frequently
• Model Usage Patterns - Monitor model switching and usage trends
• Disk Space Management - Breakdown of storage usage by agent and session
• Automatic Cleanup - Safe archive and deletion of problematic sessions
• Trend Tracking - Historical analysis of session health over time
• Heartbeat Integration - Automated monitoring and alerts

Installation

As Clawdbot Skill

clawdbot skill install clawdscan

Standalone

chmod +x clawdscan.py
./clawdscan.py --help

Quick Start

# Full health scan
clawdscan scan

# Top 10 largest sessions
clawdscan top -n 10

# Clean up zombie sessions
clawdscan clean --zombies --execute

# View recent trends
clawdscan history --days 7

Commands

scan - Full Health Scan

Comprehensive analysis of all Clawdbot sessions.

clawdscan scan [--json output.json]

# Examples
clawdscan scan                    # Console output
clawdscan scan --json report.json # Save as JSON

Output includes:

• Total sessions and disk usage
• Bloated sessions (>1MB or >300 messages)
• Zombie sessions (created but unused)
• Stale sessions (inactive >7 days)
• Top sessions by size and messages
• Cleanup recommendations

top - Top Sessions

Show largest sessions by size or message count.

clawdscan top [-n COUNT] [--sort {size|messages}]

# Examples
clawdscan top                     # Top 15 by size
clawdscan top -n 20               # Top 20 by size
clawdscan top --sort messages     # Top 15 by message count
clawdscan top -n 10 --sort messages # Top 10 by messages

inspect - Deep Session Analysis

Detailed analysis of a specific session.

clawdscan inspect \x3Csession-id>

# Example
clawdscan inspect chhotu-agent-20240109

Shows:

• Session metadata (created, last activity, size)
• Message count breakdown by type
• Tool usage within the session
• Model usage patterns
• Large messages or potential issues

tools - Tool Usage Analytics

Aggregate statistics across all sessions.

clawdscan tools

Analysis includes:

• Most frequently used tools
• Tool usage by agent
• Average tool call frequency
• Tools that may be causing bloat

models - Model Usage Patterns

Track model usage and switching patterns.

clawdscan models

Shows:

• Model usage distribution
• Model switching frequency
• Cost implications (if token data available)
• Model preference by agent

disk - Storage Analysis

Breakdown of disk usage by agent and session type.

clawdscan disk

Provides:

• Total storage usage
• Usage by agent
• Largest directories
• Growth trends
• Cleanup potential

clean - Session Cleanup

Safe cleanup of problematic sessions with preview mode.

clawdscan clean [--zombies] [--stale-days N] [--execute]

# Examples
clawdscan clean --zombies           # Preview zombie cleanup
clawdscan clean --zombies --execute # Execute zombie cleanup
clawdscan clean --stale-days 28     # Preview cleanup of 28+ day old sessions
clawdscan clean --stale-days 28 --execute # Execute stale cleanup

Safety features:

• Preview mode by default (no destructive actions)
• Backup creation before deletion
• Confirmation prompts for large cleanups
• Detailed logs of all actions

history - Trend Analysis (New)

View session health trends over time.

clawdscan history [--days N]

# Examples
clawdscan history               # Last 30 days
clawdscan history --days 7     # Last week
clawdscan history --days 90    # Last 3 months

Tracks:

• Session count over time
• Storage growth trends
• Bloat accumulation patterns
• Cleanup effectiveness

Configuration

Environment Variables

• CLAWDBOT_DIR - Override default Clawdbot directory
• NO_COLOR - Disable colored output

Thresholds (customizable in skill.json)

• Bloat Size: 1 MB (sessions larger than this)
• Bloat Messages: 300 messages
• Stale Threshold: 7 days without activity
• Zombie Threshold: 48 hours created but unused

Heartbeat Integration

ClawdScan can run automatically as part of Clawdbot's heartbeat system:

### In HEARTBEAT.md
- Check session health every 6 hours
- Alert if >5 bloated sessions found
- Alert if total usage >100MB
- Auto-cleanup zombies (if enabled)

Heartbeat Configuration

{
  "heartbeat": {
    "enabled": true,
    "interval": "6h",
    "auto_cleanup": false,
    "alert_thresholds": {
      "bloated_sessions": 5,
      "total_size": "100MB"
    }
  }
}

Output Examples

Scan Output

🔍 ClawdScan v0.1.0 — Clawdbot Session Health Analysis
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📊 Overview
  Total Sessions: 42
  Total Size: 23.4 MB
  Agents: main(38), dj(4)

⚠️  Issues Found
  🔥 Bloated: 3 sessions (>1MB or >300 msgs)
  💀 Zombies: 2 sessions (created but unused)  
  🗓️  Stale: 7 sessions (inactive >7 days)

🔝 Top Sessions by Size
  1. main-20240108-143022  4.2 MB  (1,247 msgs)
  2. main-20240107-091534  2.8 MB  (892 msgs)
  3. dj-20240105-220145    1.9 MB  (734 msgs)

💡 Recommendations
  • Archive 2 zombie sessions → save 145 KB
  • Clean 7 stale sessions → save 3.2 MB
  • Consider shorter session lifetimes

History Output

📈 Session Health Trends (Last 30 Days)

Week 1 (Jan 1-7):   12 sessions,  8.4 MB
Week 2 (Jan 8-14):  18 sessions, 15.7 MB  📈 +87% growth
Week 3 (Jan 15-21): 22 sessions, 19.3 MB  📈 +23% growth  
Week 4 (Jan 22-28): 28 sessions, 23.4 MB  📈 +21% growth

🔥 Bloat Trend: 0 → 1 → 2 → 3 sessions
💀 Zombie Trend: 1 → 1 → 2 → 2 sessions

💡 Growth Rate: +38% sessions/week, +44% storage/week

Troubleshooting

Common Issues

"No sessions found"

• Check --dir parameter points to correct Clawdbot directory
• Verify sessions exist in agents/*/sessions/

"Permission denied"

• Ensure read access to ~/.clawdbot directory
• Check file ownership and permissions

"JSON parsing error"

• Some session files may be corrupted
• Use --verbose flag for detailed error info

Debug Mode

clawdscan scan --verbose --debug

Integration Examples

Cron Job

# Daily health check at 2 AM
0 2 * * * /usr/local/bin/clawdscan scan --json /var/log/clawdscan.json

Shell Script

#!/bin/bash
# Weekly cleanup script
clawdscan clean --zombies --execute
clawdscan clean --stale-days 14 --execute
clawdscan scan --json /var/log/weekly-scan.json

Python Integration

import subprocess
import json

# Run scan and get JSON output
result = subprocess.run(['clawdscan', 'scan', '--json', '/tmp/scan.json'])
with open('/tmp/scan.json') as f:
    data = json.load(f)
    
# Process results
if data['bloated_sessions'] > 5:
    notify_admin("ClawdBot cleanup needed")

Development

Adding New Commands

1. Add command handler to clawdscan.py
2. Update skill.json tools array
3. Add documentation to SKILL.md
4. Update --help text

Contributing

• Follow existing code style
• Add tests for new features
• Update documentation
• Ensure backward compatibility

License

MIT License - see LICENSE file for details.

Support

• GitHub Issues: Report bugs or request features
• Documentation: This file and clawdscan.py --help