Summarize per-model cost usage from CodexBar cost JSON.
npx skills add https://github.com/BEIRUX/agent-skills --skill model-usage-beirux
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/BEIRUX/agent-skills/tree/main/model-usage Command: npx skills add https://github.com/BEIRUX/agent-skills --skill model-usage-beirux
Provides a simple way to extract and summarize per-model usage and cost from CodexBar local cost logs so you can understand which models drive spend without manual JSON inspection.
Summarize per-model costs from a CodexBar cost JSON and return the current model's cost breakdown.
High-intent search queries and answers about installing and using this skill.
To summarize per-model API costs from CodexBar logs, you can parse the local cost JSON via the CLI or stdin to output a ranked cost breakdown for budgeting and engineering reviews.
Yes, you can get a cost breakdown for Claude or Codex by using provider and model flags to filter the CodexBar cost JSON, returning either the most recent model summary or a full breakdown.
You can extract AI usage costs from a JSON file for reporting by feeding the CodexBar cost log through the CLI, which aggregates daily rows and outputs text or machine-readable JSON.
Yes, the model-usage tool supports filtering cost data by time range using a days flag, allowing you to limit the per-model cost aggregation to a specific recent period.
The best way to automate AI cost analysis from CodexBar data is to pipe the cost JSON via stdin into a script, using format flags to output machine-readable JSON for downstream processing.
Current model detection works by automatically identifying and selecting the most recent high-cost model from the CodexBar logs, unless an explicit model override is provided via CLI flags.
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