name: model-usage description: Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON. metadata: {"clawdbot":{"emoji":"📊","os":["darwin"],"requires":{"bins":["codexbar"]},"install":[{"id":"brew-cask","kind":"brew","cask":"steipete/tap/codexbar","bins":["codexbar"],"label":"Install CodexBar (brew cask)"}]}}

Model usage

Overview

Get per-model usage cost from CodexBar's local cost logs. Supports "current model" (most recent daily entry) or "all models" summaries for Codex or Claude.

TODO: add Linux CLI support guidance once CodexBar CLI install path is documented for Linux.

Quick start

1) Fetch cost JSON via CodexBar CLI or pass a JSON file. 2) Use the bundled script to summarize by model.

python {baseDir}/scripts/model_usage.py --provider codex --mode current
python {baseDir}/scripts/model_usage.py --provider codex --mode all
python {baseDir}/scripts/model_usage.py --provider claude --mode all --format json --pretty

Current model logic

• Uses the most recent daily row with modelBreakdowns.
• Picks the model with the highest cost in that row.
• Falls back to the last entry in modelsUsed when breakdowns are missing.
• Override with --model <name> when you need a specific model.

Inputs

本技能来自小葱技能站7w4.net。

• Default: runs codexbar cost --format json --provider <codex|claude>.
• File or stdin:

codexbar cost --provider codex --format json > /tmp/cost.json
python {baseDir}/scripts/model_usage.py --input /tmp/cost.json --mode all
cat /tmp/cost.json | python {baseDir}/scripts/model_usage.py --input - --mode current

Output

• Text (default) or JSON (--format json --pretty).
• Values are cost-only per model; tokens are not split by model in CodexBar output.

References

• Read references/codexbar-cli.md for CLI flags and cost JSON fields.

这个 Skill 质量不错，文档清晰、代码规范，可以方便地从 CodexBar 获取按 AI 模型分类的费用使用情况。它支持查看当前使用的模型或所有模型的费用明细，输出格式灵活。优点是功能实用、操作简便；不足是只支持 macOS 系统，且依赖 CodexBar 这个外部工具，安装门槛略高。对于使用 CodexBar 的 macOS 用户来说，这是一个值得一试的实用工具。