Summarize per-model cost usage data from CodexBar logs.
npx skills add https://github.com/fame0528/Savant-dead --skill model-usage-fame0528
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/fame0528/Savant-dead/tree/main/skills/model-usage Command: npx skills add https://github.com/fame0528/Savant-dead --skill model-usage-fame0528
This Skill helps you understand and manage the costs associated with using different AI models by providing detailed usage summaries from local logs.
Run the model usage script to get a summary of all Codex model costs.
High-intent search queries and answers about installing and using this skill.
You can track AI model costs by summarizing local usage data per model directly from CodexBar logs. This process analyzes current or historical expenses for Codex and Claude providers to help you monitor API spending.
The best way to analyze per-model API expenses is to parse local cost usage data from CodexBar logs. This provides a detailed breakdown of current and historical spending for Codex and Claude models.
Yes, you need the CodexBar CLI installed and properly configured for local cost tracking. The tool depends entirely on CodexBar logs to summarize and analyze historical per-model usage data.
Yes, you can identify your most recently used AI model and its associated costs. The tool focuses on current model usage by parsing local logs to highlight the latest active model and its expenses.
A key limitation is that cost tracking is restricted to data available in local CodexBar logs. It cannot analyze expenses for AI providers or models unless they are explicitly logged by the CodexBar CLI.
You can get a breakdown of expenses over a specific period by running the model usage script to parse historical data. This summarizes all per-model usage records logged by CodexBar within that timeframe.
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