Summarize AI model usage and costs from local CodexBar logs.
npx skills add https://github.com/zkcpku/verdentClaw --skill model-usage-zkcpku
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/zkcpku/verdentClaw/tree/main/skills/model-usage Command: npx skills add https://github.com/zkcpku/verdentClaw --skill model-usage-zkcpku
This Skill helps you understand and manage the costs associated with different AI models (Codex, Claude) by summarizing their usage from local logs.
Run the following command to get a summary of all Codex model costs from your local logs.
High-intent search queries and answers about installing and using this skill.
You can track AI model usage and costs by summarizing local CodexBar logs, which provides a per-model cost breakdown for Codex and Claude providers to help you monitor spending.
The best way to get a per-model cost breakdown is to analyze the JSON data from local CodexBar logs, which summarizes current or all model usage and supports text or JSON output formats.
Yes, you need the codexbar CLI installed and accessible in your system's PATH to parse local logs and summarize AI model usage and costs.
Yes, you can identify the most recently used or most expensive model by analyzing the latest log entry from your local CodexBar JSON data.
You can view historical AI usage costs by analyzing all model breakdowns from your local CodexBar logs, allowing you to see total costs across specific models over time.
Yes, AI cost monitoring supports both text and JSON output formats when summarizing model usage and costs from local CodexBar logs.
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