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model-usage

Summarize CodexBar local cost usage by model from JSON payloads.

Updated Mar 19, 2026
Search Tags:#ai-models#per-model#model-usage#codexbar#local-logs#cost-aggregation
One-click install
npx skills add https://github.com/jason9693/Open-Jordy --skill model-usage-jason9693
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: model-usage
Source: https://github.com/jason9693/Open-Jordy/tree/main/openjordy/skills/model-usage
Command: npx skills add https://github.com/jason9693/Open-Jordy --skill model-usage-jason9693

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

CodexBar local cost data is often scattered across logs; this skill consolidates per-model usage and costs into a concise, actionable summary for budgeting and decision making.

Core Features & Use Cases

  • Per-model cost summaries: summarize costs by each model for current or all-time views across Codex and Claude.
  • Flexible inputs and views: generate current-model summaries or full-model breakdowns from local logs or a JSON payload, with optional date filtering.
  • Real-world use: quickly compare model-level spending to identify cost drivers and optimize usage in AI workflows.

Quick Start

Run the script to generate a per-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 aggregate per-model AI usage costs from local logs?▼

To aggregate per-model AI usage costs from local logs, parse the JSON payload for modelBreakdowns and tally the costs per model. This consolidates scattered CodexBar data into a concise summary for budgeting.

Can I filter CodexBar cost summaries by a specific date range?▼

Yes, you can filter CodexBar cost summaries by a specific date range. The aggregation supports optional day-range filtering to narrow down current-model or full-model tallies across Codex and Claude.

What is the best way to compare spending between Codex and Claude models?▼

The best way to compare spending between Codex and Claude models is to generate a full-model breakdown. This aggregates local cost usage data per model, presenting a clear comparison to identify cost drivers.

Does this tool require a specific JSON payload format to parse model costs?▼

Yes, parsing model costs requires a JSON payload containing modelBreakdowns. The tool extracts and aggregates costs per model from this specific structure within your CodexBar local logs or direct input overrides.

Can I output the aggregated model usage data as JSON instead of text?▼

Yes, you can output the aggregated model usage data as JSON instead of text. The tool supports presenting the final per-model cost aggregation in either textual or JSON format according to your specified flags.

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