model-usage

Summarize local cost usage per AI model from CodexBar CLI logs.

Updated Feb 17, 2026
One-click install
npx skills add https://github.com/Rachasumanth/text2llm001 --skill model-usage-rachasumanth
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: model-usage
Source: https://github.com/Rachasumanth/text2llm001/tree/main/skills/model-usage
Command: npx skills add https://github.com/Rachasumanth/text2llm001 --skill model-usage-rachasumanth

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps you understand and manage the costs associated with using different AI models by providing detailed usage summaries from local logs.

Core Features & Use Cases

  • Per-Model Cost Breakdown: Analyze spending for specific models like Codex or Claude.
  • Current vs. All Models: Get insights into the most recently used model or a comprehensive overview of all models.
  • Use Case: If you're concerned about escalating AI expenses, use this Skill to identify which models are consuming the most budget and adjust your usage accordingly.

Quick Start

Summarize the current model's cost usage for Codex.

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 locally from command line logs?

You can track AI model costs locally by summarizing usage data directly from CodexBar CLI logs, which provides a detailed breakdown of spending per model.

Can I get a cost breakdown for specific AI models like Claude or Codex?

Yes, you can get a detailed cost breakdown for specific AI models like Claude or Codex by parsing the local usage logs generated by the CodexBar CLI.

How do I view historical AI model usage and associated costs?

To view historical AI model usage and associated costs, you can analyze the comprehensive log data from CodexBar CLI to see all past models used.

Do I need CodexBar CLI installed to analyze local AI expenses?

Yes, you need the CodexBar CLI installed and properly configured on your system to generate the local logs required for AI cost tracking and analysis.

What is the best way to identify which AI models are consuming the most budget?

The best way to identify which AI models consume the most budget is to summarize local cost usage per model from your logs to pinpoint high spending areas.