Summarize per-model AI cost usage data from CodexBar logs.
npx skills add https://github.com/NJUxlj/openclaw --skill model-usage-njuxlj
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/NJUxlj/openclaw/tree/main/skills/model-usage Command: npx skills add https://github.com/NJUxlj/openclaw --skill model-usage-njuxlj
This Skill helps users understand and manage their local AI model spending by summarizing usage costs from CodexBar's logs.
Run the following command to see the cost summary for the current most expensive model used by Codex: python {baseDir}/scripts/model_usage.py --provider codex --mode current
High-intent search queries and answers about installing and using this skill.
Yes, you can compare per-model AI expenses by summarizing local cost usage data from CodexBar. The Skill analyzes individual model costs, allowing you to see exactly how much you spent on different models during recent or historical periods.
To get a cost summary for the most recent model used, run the provided model_usage.py script with the --provider codex and --mode current arguments. This reports on the latest daily usage locally.
Yes, you need the CodexBar CLI installed to track AI model spending locally. The Skill requires CodexBar to be installed and accessible in your system's PATH to extract and summarize the local cost usage data.
Yes, you can view a complete historical breakdown of all AI model costs. By configuring the script mode, the Skill provides a comprehensive summary of all models used historically, rather than just the current daily usage.
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