Summarize local AI model costs from CodexBar CLI logs.
npx skills add https://github.com/darblex/price-compare-israel --skill model-usage-darblex
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/darblex/price-compare-israel/tree/main/workspace/skills/model-usage Command: npx skills add https://github.com/darblex/price-compare-israel --skill model-usage-darblex
This Skill helps users understand and manage their spending on AI models by providing detailed breakdowns of usage costs from local logs.
Run the model usage script to see the current model's cost breakdown for Codex.
High-intent search queries and answers about installing and using this skill.
You can track AI model costs by summarizing local cost usage data from CodexBar CLI logs. This Skill analyzes usage for Codex and Claude providers, generating a detailed breakdown of expenses per model.
Yes, you can retrieve a cost breakdown for either the most recently used model or a comprehensive summary of all models. This allows you to target specific model usage or view overall spending.
Yes, the CodexBar CLI must be installed and configured for local cost data collection. The Skill relies on these local logs to summarize and analyze AI model usage costs.
AI cost analysis reports support both text and JSON output formats. You can generate the per-model cost summary in whichever format best suits your reporting or data processing needs.
The best way to justify your AI tool budget is to generate a per-model cost summary from your local logs. This report identifies which models, like Codex or Claude, are most expensive for targeted cost optimization.
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