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    Context Window Tracker

    2

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

    Free

    18 usesSecurity scanned

    context-window-tracker

    Example session with this skill installed

    Give me a detailed breakdown of my current context window usage and let me know if I have enough room to finish this refactor.

    • Read your context and instructions
    • Compiled the context-window-tracker

    🟒 [β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘] Context Usage: 113.7K / 202.8K (56%)

    Detailed Breakdown
    β€’ System Prompt: ~10.2K
    β€’ Conversation: ~103.5K
    β€’ Avg per turn: ~316 tokens
    β€’ Estimated turns remaining: ~281
    Guidance: Plenty of room to finish the current refactor.

    Connects securely to your tools. The creator never sees your data.

    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 use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Security scan passed 6 months ago

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    Listed6 months ago

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