Summarize local AI model costs from CodexBar CLI logs.
npx skills add https://github.com/clsdavid/autocrab --skill model-usage-clsdavid
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/clsdavid/autocrab/tree/main/skills/model-usage Command: npx skills add https://github.com/clsdavid/autocrab --skill model-usage-clsdavid
This Skill helps users understand and manage their AI model expenses by providing detailed breakdowns of usage and cost data from the CodexBar CLI.
Run the model_usage.py script to get a summary of Codex model costs for the current day.
High-intent search queries and answers about installing and using this skill.
By analyzing local CodexBar CLI logs, this Skill generates per-model cost summaries for AI providers like Codex and Claude. It identifies your most recently used or expensive models and provides historical breakdowns over specified date ranges.
Yes, you can generate per-model cost breakdowns for specific date ranges. The Skill analyzes historical provider data from CodexBar logs, allowing you to filter usage and expenses by custom periods or focus on the most recent current model activity.
Yes, the AI cost analysis supports both Codex and Claude provider data. It parses local CLI logs from both providers to generate detailed per-model usage reports, helping you manage expenses across different platforms.
The best way to export AI model usage reports in JSON format is to use the Skill's built-in output options. You can run the analysis script to generate per-model cost summaries and explicitly select JSON instead of standard text output.
You need CodexBar CLI logs because the Skill parses this local usage data as its primary input source. Without these logs, the script cannot extract the per-model cost and usage information required to generate your expense breakdowns.
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