Summarize per-model AI costs from CodexBar CLI logs.
npx skills add https://github.com/0xHoneyJar/loa-beauvoir --skill model-usage-0xhoneyjar
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/0xHoneyJar/loa-beauvoir/tree/main/skills/model-usage Command: npx skills add https://github.com/0xHoneyJar/loa-beauvoir --skill model-usage-0xhoneyjar
This Skill helps you understand and manage the costs associated with different AI models by summarizing their usage from local logs.
Run the model-usage skill to see a summary of current model costs for Codex.
High-intent search queries and answers about installing and using this skill.
You can track AI model costs by summarizing local usage data from the CodexBar CLI. This skill analyzes per-model expenses for Codex and Claude, helping you monitor resource consumption directly from logged data.
Yes, analyzing local AI billing data requires the CodexBar CLI to be installed and configured for local cost logging. The skill relies entirely on these local logs to generate per-model expense summaries.
Yes, you can view historical cost breakdowns across all AI models over time. The skill processes local usage logs to deliver a historical analysis of your expenses, showing which models consume the most resources historically.
It identifies the most expensive AI model by analyzing your latest local cost logs. The skill focuses on current model usage data to pinpoint the most resource-intensive or costly models in your recent sessions.
The best way to optimize AI model expenses is by summarizing local usage logs to identify costly models. This allows developers to monitor resource allocation and adjust their usage patterns for better cost optimization.
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