Summarize local AI model costs from CodexBar JSON logs.
npx skills add https://github.com/chebizarro/swarmstr --skill model-usage-chebizarro
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/chebizarro/swarmstr/tree/main/skills/model-usage Command: npx skills add https://github.com/chebizarro/swarmstr --skill model-usage-chebizarro
This Skill helps you understand and manage the costs associated with using different AI models by providing detailed usage summaries.
Run the model_usage script to get a summary of all AI model costs.
High-intent search queries and answers about installing and using this skill.
You can track AI model costs by summarizing local JSON logs from the CodexBar CLI. The tool provides a comprehensive breakdown of all models used across providers like Codex and Claude to help you understand spending.
Yes, the CodexBar CLI must be installed and accessible to analyze LLM spending. The Skill parses local cost usage data directly from the JSON logs generated by the CodexBar application.
Yes, you can generate a daily summary of your AI model usage. The tool supports reporting on the most recent daily model entry, allowing you to analyze historical data and usage trends over time.
The best way to identify high budget consumption is by running a per-model cost summary. This breakdown exposes expenses for each AI model used, highlighting areas for potential cost savings.
Analyzing local JSON logs helps optimize AI spending by providing detailed per-model cost summaries. Development teams can see which models consume the most budget and identify areas for potential cost savings.
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