model-usage

Aggregate per-model costs from CodexBar logs with optional date filtering.

Updated Jan 29, 2026

Search Tags:#analytics #cli #json #cost #model-usage #codexbar

Ready to run

npx skills add https://github.com/DharambirAgrawal/Personal-Assistant --skill model-usage-dharambiragrawal

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: model-usage
Source: https://github.com/DharambirAgrawal/Personal-Assistant/tree/main/skills/model-usage
Command: npx skills add https://github.com/DharambirAgrawal/Personal-Assistant --skill model-usage-dharambiragrawal

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

CodexBar local cost logs are model-agnostic and hard to interpret at a model level. This skill aggregates per-model costs to reveal spending drivers and enable cost-aware decisions.

Core Features & Use Cases

Current-model summary: identify the current active model and its latest cost.
All-model breakdowns: totalize costs across all models for comprehensive usage insight.
Input flexibility: read from CodexBar CLI output or a JSON log file, with optional date filtering.

Quick Start

Run the script to generate a per-model cost summary from CodexBar, using the current model or all models as needed.

Frequently Asked Questions about model-usage

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

FAQPage Schema

How do I track per-model usage costs from CodexBar local logs?▼

To track per-model usage costs from CodexBar local logs, you can aggregate modelBreakdowns to reveal spending drivers. This skill processes current-model summaries and full-model breakdowns from JSON files or CLI output.

Can I filter CodexBar cost logs by date to isolate specific model spending?▼

Yes, you can filter CodexBar cost logs by date to isolate specific model spending. The skill supports optional date filtering to narrow down current-model summaries and all-model breakdowns.

Does this skill require the CodexBar CLI to be installed to parse JSON cost logs?▼

Yes, this skill requires the CodexBar CLI to be installed to parse JSON cost logs effectively. It operates on both CodexBar CLI output and local JSON log files to aggregate model-level costs.

What is the best way to export aggregated model usage costs for integration?▼

The best way to export aggregated model usage costs for integration is to output the results as JSON. The skill generates either human-readable text or JSON output from the aggregated modelBreakdowns data.

Which AI providers are supported when calculating per-model usage costs locally?▼

When calculating per-model usage costs locally, the supported AI providers are codex and claude. The skill aggregates local cost logs to identify spending drivers across these specific provider models.