Summarize local AI model usage costs from CodexBar CLI output.
npx skills add https://github.com/SeanHogg/coderClaw --skill model-usage-seanhogg
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/SeanHogg/coderClaw/tree/main/product/skills/model-usage Command: npx skills add https://github.com/SeanHogg/coderClaw --skill model-usage-seanhogg
This Skill helps you understand and manage the costs associated with using different AI models (Codex, Claude) by providing a clear breakdown of usage and expenses based on local logs.
Run the model_usage script to get a summary of all Codex model costs.
High-intent search queries and answers about installing and using this skill.
You can track AI model costs locally by running a script that summarizes usage expenses from CodexBar CLI output. This provides a clear breakdown of costs for Codex and Claude models based on your local logs.
To summarize LLM usage, you need the CodexBar CLI installed and accessible in your system's PATH. The tool processes output directly from the CLI or accepts a JSON file as input.
Yes, you can output a per-model cost breakdown in JSON format. The tool analyzes current or all model breakdowns and supports both text and JSON output formats.
You can identify your most recently used AI model and its expenses by requesting a current model breakdown. The tool automatically identifies the latest model used and summarizes its associated costs.
Yes, this tool analyzes AI costs locally without an internet connection. It parses local usage logs generated by the CodexBar CLI to calculate expenses for models like Codex and Claude.
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