model-usage

Summarize per-model AI costs from CodexBar CLI usage logs.

Updated Jul 17, 2026
One-click install
npx skills add https://github.com/kolbick/Kolb-Bot --skill model-usage-kolbick
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: model-usage
Source: https://github.com/kolbick/Kolb-Bot/tree/main/skills/model-usage
Command: npx skills add https://github.com/kolbick/Kolb-Bot --skill model-usage-kolbick

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you understand and manage your AI spending by providing detailed breakdowns of costs per model, sourced from local usage logs.

Core Features & Use Cases

  • Per-Model Cost Summary: Get a clear view of how much each AI model (Codex, Claude) is costing you.
  • Current Model Focus: Easily identify the most used or most expensive model in the latest usage data.
  • Historical Breakdown: Analyze total costs across all models over time.
  • Use Case: When asked about your AI budget, you can quickly provide a summary of which models are consuming the most resources, enabling better cost optimization.

Quick Start

Run the model_usage script to get a summary of all Codex model costs.

Frequently Asked Questions about model-usage

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

FAQPage Schema
How do I track AI model costs per model from the command line?

The Skill analyzes local usage logs from the CodexBar CLI to provide a per-model cost summary, identifying current top-costing models or a full breakdown of all models used.

How do I identify which AI model is costing me the most right now?

The Skill analyzes your latest local usage logs to identify and highlight the top-costing model, showing which AI provider like Codex or Claude is consuming the most resources.

Do I need CodexBar CLI installed to analyze my AI spending?

Yes, the Skill requires the CodexBar CLI to be installed and configured for local cost logging, as it depends on this data to analyze and summarize your AI spending.

Can I get a historical breakdown of all AI model expenses over time?

Yes, the Skill provides a historical breakdown by analyzing total costs across all models over time, using local usage logs to show a full breakdown of AI spending.

What is the best way to optimize my AI budget for multiple models?

The best way is to use the Skill to get a detailed breakdown of costs per model from local usage logs, enabling better cost optimization by identifying resource-heavy models.