Summarize per-model CodexBar costs from local JSON logs.
npx skills add https://github.com/RJB07/RX01 --skill model-usage-rjb07
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/RJB07/RX01/tree/main/core/skills/model-usage Command: npx skills add https://github.com/RJB07/RX01 --skill model-usage-rjb07
Get per-model usage cost from CodexBar's local cost logs and present concise summaries for Codex or Claude models, including the current (most recent) model or a full model breakdown.
Run the bundled script to summarize per-model CodexBar cost from a local cost JSON file.
High-intent search queries and answers about installing and using this skill.
To summarize per-model cost usage locally, run the model_usage.py Python script to aggregate CodexBar cost logs by model. It processes JSON input from the codexbar CLI or a file and outputs a per-model cost breakdown.
You need Python 3 installed and the codexbar CLI present on your system PATH to perform a per-model cost breakdown. The script reads Codex and Claude usage data from local JSON logs or standard output.
Yes, you can view the current highest-cost model from the latest daily entry. The script provides an option to select the current model focus rather than aggregating an all-model total across daily log entries.
You can output CodexBar cost data as structured JSON by specifying JSON formatting in the model_usage.py script. It supports both human-readable text and structured JSON output for the aggregated cost breakdown.
The per-model usage summarizer accepts JSON input flexibly from both standard output and JSON files. It can read codexbar cost data directly from stdout/stderr or parse a specified local JSON file.
The best way to aggregate daily CodexBar cost logs by model is using a Python script that parses local JSON logs and performs model breakdown aggregation. It calculates per-model totals across all daily entries automatically.
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