2

    context-window-tracker

    by Rian O'Leary

    Monitor and analyze real-time context window usage with visual bars and detailed token breakdowns.

    Updated May 2026
    2 installs
    54 views

    Free

    One-time purchase

    ⚡ Also available via Agensi MCP — your AI agent can load this skill on demand via MCP. Learn more →

    Included in download

    • Downloadable skill package
    • 2 permissions declared
    • Instant install

    See it in action

    🟢 [███████████░░░░░░░░░] 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.

    Screenshots

    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.

    📖 Learn more: Best DevOps & Deployment Skills for Claude Code →

    Use Cases

    • Monitor token usage with high-visibility color-coded status bars
    • Identify which system files are consuming the most context window space
    • Estimate how many messages remain before hitting the model context limit
    • Enable automated context checks to run every 10 messages during long sessions

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell
    Read Files

    Tags

    devops
    monitoring
    productivity
    tokens
    context-management
    Documentation

    This skill works best in frameworks such as openclaw.

    Creator

    Rian O'Leary

    A young aspiring software dev. I want to build genuinely useful things.

    Frequently Asked Questions

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