model-usage

Summarize per-model cost usage from CodexBar CLI output.

6|Updated Jan 22, 2026
One-click install
npx skills add https://github.com/hlbbbbbbb/No-worries --skill model-usage-hlbbbbbbb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: model-usage
Source: https://github.com/hlbbbbbbb/No-worries/tree/main/noworries_app/apps/desktop/skills/model-usage
Command: npx skills add https://github.com/hlbbbbbbb/No-worries --skill model-usage-hlbbbbbbb

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps users understand and manage the local costs associated with using AI models like Codex and Claude by analyzing usage data from the CodexBar CLI.

Core Features & Use Cases

  • Per-Model Cost Summarization: Provides detailed cost breakdowns for individual AI models.
  • Current Model Identification: Identifies the most recently used model and its associated costs.
  • Historical Usage Analysis: Allows for a full breakdown of usage across all models over time.
  • Use Case: A developer wants to optimize their AI spending and needs to know which models are consuming the most resources locally. They can use this Skill to get a clear report.

Quick Start

Run the model usage script to get a summary of costs for all Codex models.

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 for Codex and Claude?

To track AI model costs locally, you can use this Skill to summarize per-model usage and expenditure data. It analyzes local cost logs generated by the CodexBar CLI to provide detailed breakdowns for Codex and Claude models.

Can I get a historical cost breakdown of all AI models used?

Yes, you can get a historical cost breakdown of all AI models used. The Skill analyzes historical per-model usage and cost data from your local CodexBar CLI output to show full resource consumption over time.

Do I need CodexBar CLI installed to analyze model usage data?

Yes, you need CodexBar CLI installed and configured for local cost logging. The Skill depends entirely on the usage data generated by CodexBar to summarize and analyze costs for AI models like Codex and Claude.

How do I identify which AI model is currently costing the most?

To identify which AI model is currently costing the most, the Skill identifies the most recently used model and summarizes its associated costs. This helps developers pinpoint resource-heavy models from local CodexBar logs.

What is the best way to analyze per-model usage for AI cost optimization?

The best way to analyze per-model usage for AI cost optimization is to summarize local cost data per AI model. This Skill processes CodexBar CLI logs to deliver clear per-model cost reports, enabling accurate spending analysis.