Token Alert

# Token Alert Skill

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This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

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Install skill "Token Alert" with this command: npx skills add r00tid/token-alert

Token Alert Skill

🚨 Monitor session tokens and get alerts at 75%/90%/95%

Overview

The Token Alert Skill automatically monitors your Clawdbot session token usage and sends alerts when you approach limits. Never lose context mid-conversation again!

Features

  • 6-Level Threshold System - Alerts at 25%, 50%, 75%, 90%, 95%, 100%
  • Material Design Progress Bar - Box-style (▰/▱) with color gradients
  • Rich UI Dashboard - Interactive HTML dashboard with animations
  • Session Status - Shows current token usage on demand
  • Telegram Alerts - Get notified before hitting limits
  • HEARTBEAT Integration - Optional automated checks
  • Stateless - No state file needed, calculates on-demand
  • Session Estimates - Predicts remaining sessions (~50k avg)

Usage

Interactive Dashboard

Ask Grym:

  • "Show token dashboard"
  • "Open dashboard"

Or run directly:

python3 ~/clawd/skills/token-alert/scripts/show_dashboard.py

Terminal Check

Ask Grym:

  • "Wie viele Tokens habe ich noch übrig?"
  • "Check token status"
  • "Token usage?"

Or run:

python3 ~/clawd/skills/token-alert/scripts/check.py

Automatic Alerts

Grym will automatically alert you when:

  • 🟡 25% - Low warning (~150k tokens left)
  • 🟠 50% - Medium warning (~100k tokens left)
  • 🔶 75% - High warning (~50k tokens left)
  • 🔴 90% - Critical warning (~20k tokens left)
  • 🚨 95% - Emergency! (<10k tokens left)

Example Output

🔶 Token Alert: Achtung!

🔶 ▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▰▱▱▱▱▱▱ 78.0%
156,000 / 200,000 Tokens verwendet

⚠️ Status: High Warning (Rot-Orange Zone)
💡 Verbleibend: ~44k Tokens
⏰ Geschätzte Sessions: <1 Session

🔧 Empfehlung:
   ✅ Wichtige Entscheidungen jetzt treffen
   ✅ Neue Session vorbereiten
   ✅ Token-sparend arbeiten

Installation

# Via ClawdHub
clawdhub install token-alert

# Manual
cd ~/clawd/skills
git clone https://github.com/r00tid/clawdbot-token-alert token-alert

Configuration

HEARTBEAT Integration (Optional)

Add to ~/clawd/HEARTBEAT.md:

### Token Usage Check (täglich)
- [ ] `python3 ~/clawd/skills/token-alert/scripts/check.py`
- **Warning ab 70%:** "⚠️ Session bei XX% - Token-Sparend ab jetzt!"

How It Works

  1. Uses Clawdbot's session_status tool
  2. Calculates percentage of token usage
  3. Compares against thresholds (75%, 90%, 95%)
  4. Sends Telegram alert if threshold crossed

Technical Details

Files

skills/token-alert/
├── SKILL.md                    # This file
├── README.md                   # GitHub documentation
├── LICENSE                     # MIT License
├── .clawdhub/
│   └── manifest.json           # ClawdHub metadata
├── assets/
│   ├── dashboard-78-high.png   # Screenshot (High Warning)
│   └── dashboard-96-emergency.png  # Screenshot (Emergency)
└── scripts/
    ├── check.py                # Token checker (Terminal)
    ├── dashboard.html          # Rich UI dashboard
    └── show_dashboard.py       # Dashboard launcher

Dependencies

  • Python 3.8+
  • Clawdbot session_status tool
  • Optional: Telegram channel configured

Script API

# scripts/check.py
def get_session_tokens():
    """Get current session token usage via session_status tool"""
    
def check_thresholds(percent):
    """Check if usage exceeds thresholds"""
    
def format_alert(used, limit, percent, level):
    """Format alert message for Telegram"""

When to Use

  • Before long tasks - Check if you have enough tokens
  • Mid-conversation - Monitor usage during long sessions
  • Daily check - Add to HEARTBEAT for automatic monitoring

Limitations

  • Only monitors session tokens (not Claude.ai API limits)
  • Requires active Clawdbot session
  • Alert frequency can be noisy if near threshold

Future Enhancements

  • Claude.ai API limits scraping (optional)
  • Historical token usage tracking
  • Weekly/monthly usage reports
  • Integration with token-router skill

Support

License

MIT License - See LICENSE file


Built with ❤️ by Grym 🥜

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