Parse CodexBar JSON logs to aggregate per-model costs and identify the top-cost model.
npx skills add https://github.com/vut08905/openclaw-app --skill model-usage-vut08905
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/vut08905/openclaw-app/tree/main/skills/model-usage Command: npx skills add https://github.com/vut08905/openclaw-app --skill model-usage-vut08905
Automates visibility into model-level spending and usage by parsing local CodexBar logs.
Use Case: Imagine you are monitoring monthly costs across Codex and Claude models to optimize deployment.
Run the model_usage script to view current model costs or generate a full per-model cost breakdown from your local CodexBar logs.
High-intent search queries and answers about installing and using this skill.
Per-model usage costs from local CodexBar logs are calculated by parsing daily JSON entries and aggregating modelBreakdowns data. The script identifies the current top-cost model from the latest daily row and provides a full cost breakdown across all models.
Yes, cost breakdowns support both Codex and Claude providers. The script accepts a provider argument to filter and parse local JSON logs specifically for either the codex or claude provider.
Current model cost identifies the most expensive active model from only the latest daily log row, while the all-model breakdown aggregates and sums total costs by model across all available daily entries in the log file.
Yes, the model usage script supports filtering costs by specific day ranges. You can pass an optional day range parameter to narrow the cost aggregation and breakdown to a targeted period within your local logs.
Missing data or unsupported inputs in CodexBar logs are handled gracefully by the script. It skips incomplete entries without failing the entire aggregation process, ensuring you still get partial cost summaries.
Yes, the aggregated model cost breakdown can be exported in JSON format. The script supports flexible outputs, allowing you to choose between standard text or JSON format for the final usage and cost results.
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