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Context Window Tracker
by Rian O'Leary
Monitor and analyze real-time context window usage with visual bars and detailed token breakdowns.
Free
See it in action
You say
Give me a detailed breakdown of my current context window usage and let me know if I have enough room to finish this refactor.
Your agent does
🟢 [███████████░░░░░░░░░] Context Usage: 113.7K / 202.8K (56%) Detailed Breakdown: • System Prompt: ~10.2K • Conversation: ~103.5K • Avg per turn: ~316 tokens • Estimated turns remaining: ~281 Guidance: Plenty of room to finish the current refactor.
About this skill
Optimize Your AI Workflows
Context Window Tracker is a specialized utility for developers using OpenClaw who need to monitor token consumption in real-time. It prevents the sudden "context full" errors that derail complex coding sessions by providing transparency into exactly how your context budget is being spent.
What it does
The skill analyzes your active session transcript and system files to generate readable usage reports. It supports two modes:
- Compact: A one-line visual progress bar with vital stats (Total usage, % full, estimated turns remaining).
- Detailed: A deep-dive breakdown showing which specific files (like SOUL.md or TOOLS.md) are consuming the most tokens, alongside conversation history and framework overhead.
Why use this skill?
Unlike basic AI prompting which can only guess its usage, this tool reads the underlying session .jsonl files to provide accurate data. It includes a smart health indicator (Green/Yellow/Red) and provides contextual guidance on whether you have enough room to finish your current task or should start a fresh session.
Supported Features
- Per-file token breakdown for system prompts.
- Trend analysis to estimate remaining turns based on session velocity.
- Cache hit rate tracking for cost efficiency.
- Optional auto-check mode that triggers every 10 messages.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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