Aggregate per-model costs from CodexBar logs into text or JSON summaries.
npx skills add https://github.com/AG064/argentum --skill model-usage-ag064
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/AG064/argentum/tree/main/skills/model-usage Command: npx skills add https://github.com/AG064/argentum --skill model-usage-ag064
CodexBar model usage data is spread across local logs; this Skill consolidates per-model costs and provides current-model or full-model breakdowns to support cost analysis and decision making.
Run CodexBar model usage to summarize per-model costs from local logs with a single command.
High-intent search queries and answers about installing and using this skill.
To summarize per-model costs, the Skill aggregates model-level cost data from local CodexBar logs by date, provider, and model, outputting a human-readable current-model summary or a full breakdown.
Yes, you can export CodexBar cost analysis results as structured JSON payloads. The Skill outputs both human-readable text for quick review and JSON formats for scripting and reporting.
You get a daily breakdown of Codex and Claude model usage costs by analyzing local cost JSON logs. The Skill provides a current-model view for the latest daily breakdown or an all-model breakdown across multiple days.
Yes, the per-model cost aggregator works with an external JSON file. It accepts input directly from local CodexBar cost JSON logs or processes a provided JSON file to aggregate model-level costs.
When model usage data is missing from the local logs, the Skill handles the missing data gracefully. It continues the cost aggregation process without failing, ensuring reliable outputs.
The best way to audit monthly AI model costs locally is to consolidate CodexBar logs into per-model summaries. The Skill aggregates costs by date and provider, supporting finance exports through JSON output.
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