model-usage

Track LLM token consumption and API costs from usage logs.

198|40|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/SelectXn00b/AndroidForClaw --skill model-usage-selectxn00b
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: model-usage
Source: https://github.com/SelectXn00b/AndroidForClaw/tree/main/app/src/main/assets/skills/model-usage
Command: npx skills add https://github.com/SelectXn00b/AndroidForClaw --skill model-usage-selectxn00b

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps users understand and manage their spending on AI models by tracking token consumption, API costs, and model usage patterns.

Core Features & Use Cases

  • Token Tracking: Monitors input, output, and total tokens used per session and in aggregate.
  • Cost Analysis: Calculates daily and monthly expenses based on model pricing.
  • Model Performance: Identifies which models are used most frequently and their associated costs.
  • Optimization Tips: Provides actionable advice on reducing AI expenses.
  • Use Case: A user concerned about their monthly AI bill can use this skill to see exactly how much they've spent, which models are the most expensive, and get recommendations on how to cut costs.

Quick Start

Read the current month's usage log file.

Frequently Asked Questions about model-usage

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

FAQPage Schema
How do I track token consumption and API costs for LLM models?

You can track token consumption and API costs by using this Skill to log input, output, and total tokens per session, then calculating daily and monthly expenses based on model pricing.

What is LLM monitoring and how does it help with budget management?

LLM monitoring tracks your model usage patterns and associated costs to provide cost transparency. It helps with budget management by identifying frequently used models and calculating your aggregate spending.

How do I get cost analysis and optimization tips to reduce my AI expenditure?

Cost analysis and optimization tips are generated by reviewing your usage logs to identify expensive models and provide actionable advice on reducing your overall AI expenditure.

Can I see which AI models are used most frequently and their associated costs?

Yes, you can see which AI models are used most frequently and their associated costs by reading the current month's usage log file to review detailed model performance metrics.

Do I need any dependencies or external libraries to monitor AI spending?

No dependencies are required to monitor AI spending. The Skill operates independently using its built-in scripts to generate detailed logging and reporting for your AI usage.