Summarize local cost usage per AI model from CodexBar logs.
npx skills add https://github.com/openclaw/openclaw --skill model-usage-openclaw
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/openclaw/openclaw/tree/main/skills/model-usage Command: npx skills add https://github.com/openclaw/openclaw --skill model-usage-openclaw
This Skill helps you understand and manage your AI model expenses by providing detailed local cost usage summaries for specific models.
gpt-4 versus claude-3-opus last month to optimize their AI budget.Run the model usage script to see a summary of costs for all models used by Codex.
High-intent search queries and answers about installing and using this skill.
You can track AI model costs locally by running this Skill to summarize cost usage per model from CodexBar logs. It analyzes current or all model usage for Codex and Claude providers, outputting the results as text or JSON.
Yes, you need the CodexBar CLI installed and accessible in your system's PATH. The Skill parses local CodexBar logs to generate per-model cost summaries, so the CLI must be present to provide the source data.
Yes, this Skill provides per-model cost summaries, allowing you to get a detailed breakdown of costs associated with individual AI models. This helps you compare expenses across different models to optimize your AI budget.
The best way to view historical AI cost usage is to run the model usage script for all models. It analyzes usage over time from CodexBar logs, outputting a comprehensive cost summary for every model used.
You can check the cost of the most recently used AI model by requesting a current model focus summary. The Skill analyzes CodexBar logs to easily identify and output the costs associated with the latest active model.
Yes, the Skill can output AI cost analysis data as JSON. When you run the script to summarize local cost usage per AI model, you can select JSON as the output format for structured data integration.
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