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model-usage

Summarize local CodexBar AI model costs with per-model breakdowns.

1|1|Updated Feb 17, 2026
Search Tags:#llm#billing#cost tracking#model usage#codexbar#ai cost
One-click install
npx skills add https://github.com/qsimeon/openclaw-engaging --skill model-usage-qsimeon
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: model-usage
Source: https://github.com/qsimeon/openclaw-engaging/tree/main/skills/model-usage
Command: npx skills add https://github.com/qsimeon/openclaw-engaging --skill model-usage-qsimeon

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps users understand and manage their AI model spending by providing detailed cost breakdowns from local usage logs.

Core Features & Use Cases

  • Per-Model Cost Summary: Generates summaries of AI model usage costs, broken down by individual models.
  • Current vs. All Models: Supports reporting on the most recently used model or a comprehensive breakdown of all models used.
  • Use Case: A developer wants to know how much they spent on gpt-4 versus claude-3-opus last month. This Skill can provide that exact breakdown.

Quick Start

Run the model usage script to get a summary of all 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 per provider?▼

Track AI model costs by reading local usage logs from the CodexBar CLI to generate per-model cost breakdowns for specified providers like Codex or Claude.

What is the best way to get a cost breakdown for specific AI models?▼

Generate a cost breakdown by running the model usage script to summarize historical spending data, providing exact cost comparisons for models like gpt-4 and claude-3-opus.

Do I need CodexBar installed to analyze AI model billing data?▼

Yes, you need the CodexBar CLI installed and accessible in your system's PATH, as the Skill relies entirely on reading local usage logs generated by that application.

Can I report on just the most recently used AI model instead of all models?▼

Yes, you can generate a cost summary for either the most recently used model or a comprehensive historical breakdown of all models used across your specified providers.

How does local cost tracking for LLM usage work?▼

Local cost tracking works by summarizing existing local usage data from the CodexBar CLI, parsing historical logs to calculate and display per-model spending without remote API calls.

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