model-usage

Summarize per-model AI costs from CodexBar CLI logs.

5|Updated Feb 2, 2026

Search Tags:#ai #model #billing #usage #cost #codexbar

Ready to run

npx skills add https://github.com/0xHoneyJar/loa-beauvoir --skill model-usage-0xhoneyjar

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: model-usage
Source: https://github.com/0xHoneyJar/loa-beauvoir/tree/main/skills/model-usage
Command: npx skills add https://github.com/0xHoneyJar/loa-beauvoir --skill model-usage-0xhoneyjar

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 different AI models by summarizing their usage from local logs.

Core Features & Use Cases

Per-Model Summaries: Get detailed cost breakdowns for individual AI models (Codex, Claude).
Current Model Focus: Easily identify the most used or most expensive model in the latest usage data.
Historical Analysis: View usage and cost data across all models over time.
Use Case: Developers can use this to monitor which models are consuming the most resources, enabling better cost optimization and resource allocation.

Quick Start

Run the model-usage skill to see a summary of current model costs 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 and usage for Codex and Claude?▼

You can track AI model costs by summarizing local usage data from the CodexBar CLI. This skill analyzes per-model expenses for Codex and Claude, helping you monitor resource consumption directly from logged data.

Do I need the CodexBar CLI installed to analyze local AI billing data?▼

Yes, analyzing local AI billing data requires the CodexBar CLI to be installed and configured for local cost logging. The skill relies entirely on these local logs to generate per-model expense summaries.

Can I view historical cost breakdowns for all AI models over time?▼

Yes, you can view historical cost breakdowns across all AI models over time. The skill processes local usage logs to deliver a historical analysis of your expenses, showing which models consume the most resources historically.

How does this approach identify the most expensive AI model in current usage?▼

It identifies the most expensive AI model by analyzing your latest local cost logs. The skill focuses on current model usage data to pinpoint the most resource-intensive or costly models in your recent sessions.

What is the best way to optimize AI model expenses using local usage logs?▼

The best way to optimize AI model expenses is by summarizing local usage logs to identify costly models. This allows developers to monitor resource allocation and adjust their usage patterns for better cost optimization.