token-usage

Monitor current token and context window usage of an AI session.

Updated Jan 13, 2026
One-click install
npx skills add https://github.com/kmylpenter/KFG-CCv2-Installer-Stable --skill token-usage
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: token-usage
Source: https://github.com/kmylpenter/KFG-CCv2-Installer-Stable/tree/main/.claude/skills/token-usage
Command: npx skills add https://github.com/kmylpenter/KFG-CCv2-Installer-Stable --skill token-usage

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users understand and manage their AI's token usage, preventing unexpected costs and ensuring efficient context window utilization.

Core Features & Use Cases

  • Real-time Usage Tracking: Provides current token usage against the total context window.
  • Cost Analysis: Analyzes the token cost of specific files, code snippets, or system components.
  • Use Case: Before submitting a large code refactoring task, a user can ask "token usage" to see how much of the context window is already occupied by previous instructions and code.

Quick Start

Ask the AI to report the current token usage.

Frequently Asked Questions about token-usage

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check AI token usage for my current session?

To check AI token usage, request a session report to see current token consumption against the total context window. This monitors real-time usage to prevent unexpected costs and ensures efficient context window utilization before submitting large tasks.

Can I analyze the token cost of specific code files?

Yes, you can analyze the token cost of specific code files or system components. The analysis details the token breakdown and runtime dependencies, helping you evaluate the exact consumption footprint of your code snippets before processing.

What is context window utilization and why does it matter?

Context window utilization measures how much of the AI's available memory is occupied by previous instructions and code. Monitoring it ensures you do not exceed limits, preventing unexpected costs and maintaining efficient session management.

Does this token monitoring exclude non-AI references?

Yes, token monitoring strictly adheres to a specific output format for session usage and provides detailed component cost analysis while explicitly excluding non-AI token references to ensure accurate AI cost reporting.

When should I monitor AI token consumption during development?

You should monitor AI token consumption before submitting large code refactoring tasks to see how much context is occupied. This prevents exceeding context window limits and manages AI costs effectively during session management.