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model-usage

Summarize per-model CodexBar cost data from local logs into text or JSON.

Updated Jan 28, 2026
Search Tags:#json#ai-models#cost#model-usage#codexbar#local-logs#cost-aggregation
One-click install
npx skills add https://github.com/xcriminal1/Xcriminal-bot --skill model-usage-xcriminal1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: model-usage
Source: https://github.com/xcriminal1/Xcriminal-bot/tree/main/skills/model-usage
Command: npx skills add https://github.com/xcriminal1/Xcriminal-bot --skill model-usage-xcriminal1

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

CodexBar cost data is scattered across local logs and multiple models; this Skill consolidates per-model usage from local cost logs to help you quickly understand spending by model.

Core Features & Use Cases

  • Extract per-model costs from CodexBar's local logs to produce current-model and full-model breakdowns for auditing, budgeting, and optimization.
  • Use Case: Compare Codex and Claude model costs over time to identify spikes and optimize usage patterns for cost efficiency.

Quick Start

Ask the skill to summarize per-model CodexBar usage from local cost logs to generate either a current-model snapshot or a full-model breakdown.

Frequently Asked Questions about model-usage

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

FAQPage Schema
How do I summarize per-model AI usage costs from local CodexBar logs?▼

To summarize per-model AI usage costs from local CodexBar logs, this tool consolidates scattered cost data into a current-model snapshot or a full-model breakdown across Codex and Claude providers. It accepts optional JSON input or reads directly from the CodexBar CLI.

What is the best way to compare Codex and Claude per-model spending for budget auditing?▼

The best way to compare Codex and Claude per-model spending is by generating a full-model breakdown from local cost logs. This consolidates usage data to help identify cost spikes and optimize patterns for budget auditing.

Can I output AI model cost data as JSON for a vector store?▼

Yes, you can output AI model cost data as JSON suitable for embedding in a vector store. The tool supports both text and JSON output formats when summarizing per-model usage from local logs.

Does this tool require direct CodexBar CLI access to read local cost logs?▼

No, direct CodexBar CLI access is not strictly required. The tool can read local cost logs from the CodexBar CLI, but it also accepts optional JSON input to process per-model usage data.

How do I generate a current-model cost snapshot instead of a full breakdown?▼

To generate a current-model cost snapshot instead of a full-model breakdown, you process local CodexBar logs and select the current-model view. This provides quick insights focused on your active provider usage.

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