Summarize local AI model costs from CodexBar CLI logs.
npx skills add https://github.com/sentientsprite/nemo-agent --skill model-usage-sentientsprite
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/sentientsprite/nemo-agent/tree/main/skills/model-usage Command: npx skills add https://github.com/sentientsprite/nemo-agent --skill model-usage-sentientsprite
This Skill helps you understand and manage the local costs associated with using AI models like Codex and Claude by providing detailed usage summaries.
Run the model_usage script to see a summary of all Codex model costs.
High-intent search queries and answers about installing and using this skill.
You can analyze AI model costs by running the model_usage script, which reads local CodexBar CLI logs to summarize per-model expenses, current model activity, and historical cost data.
Yes, you need the CodexBar CLI installed and configured for local cost logging, as this Skill relies entirely on parsing those logs to generate your expense summaries.
The best way to view a per-model cost breakdown is to run the summarization script, which extracts individual model expenses from your local CLI logs to show exactly what each AI model incurred.
Yes, you can analyze historical cost trends over time by generating summaries that filter your logged AI model usage data by daily intervals or all-time totals.
You cannot see your local AI model spending summary if the CodexBar CLI is not installed or has not been configured to log local cost data for Codex and Claude providers.
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