model-usage

Analyze CodexBar cost logs to summarize Codex or Claude model usage.

18|1|Updated Jun 12, 2026
One-click install
npx skills add https://github.com/vignesh2027/Vilvona-AI --skill model-usage-vignesh2027
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: model-usage
Source: https://github.com/vignesh2027/Vilvona-AI/tree/main/skills/model-usage
Command: npx skills add https://github.com/vignesh2027/Vilvona-AI --skill model-usage-vignesh2027

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, codexbar, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of analyzing cost logs from CodexBar, making it easier to track and summarize the usage costs for different models.

Core Features & Use Cases

  • Cost Analysis: Summarize usage costs for Codex or Claude models from CodexBar logs.
  • Summary Options: Provides both current model and full breakdowns of all models.
  • Flexibility: Supports local cost logs from CodexBar CLI or imported JSON files.
  • Use Case: If you're running multiple models and want to quickly see which ones are using the most resources, this Skill can help you understand your costs better.

Quick Start

Use the model-usage skill to get the current model usage cost summary from CodexBar logs.

Frequently Asked Questions about model-usage

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

FAQPage Schema
How do I analyze CodexBar cost logs for model usage?

You can analyze CodexBar cost logs by running a Python script that parses local CLI logs or imported JSON files, summarizing usage costs for Codex or Claude models.

Can I get a full cost breakdown for all models instead of just the current one?

Yes, the analysis provides summary options for both the current model usage and a full cost breakdown of all models tracked in your CodexBar logs.

Does the cost analysis work with JSON file inputs?

Yes, the cost analysis supports JSON file inputs. It processes both local CodexBar CLI logs and imported JSON files to summarize model usage costs.

Do I need Python and CodexBar CLI to track model usage costs?

Yes, Python and CodexBar CLI are required dependencies to parse logs and generate model usage cost summaries.

What is the best way to track financial usage across multiple AI models?

Analyzing CodexBar logs is an effective way to track financial usage across multiple AI models, providing summaries of resource consumption costs to identify high-cost models.