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model-usage

by openclaw

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

Installation

Pick a client and clone the repository into its skills directory.

Installation

Quick info

Author
openclaw
Category
Data Science
Views
44

About this skill

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.

How to use

  1. Zainstaluj CodexBar CLI za pomocą brew: uruchom polecenie brew install steipete/tap/codexbar. Skill wymaga tego narzędzia do pobierania danych kosztowych.

  2. Przygotuj dane kosztowe — możesz je uzyskać na dwa sposoby: uruchom codexbar cost --format json --provider codex (lub claude) bezpośrednio, albo zapisz wynik do pliku: codexbar cost --provider codex --format json > /tmp/cost.json.

  3. Uruchom skill z wybranym dostawcą i trybem. Dla ostatniego modelu (najwyższy koszt z dzisiejszego dnia): python scripts/model_usage.py --provider codex --mode current. Dla pełnego przeglądu wszystkich modeli: python scripts/model_usage.py --provider codex --mode all.

  4. Jeśli chcesz wynik w formacie JSON zamiast tekstu, dodaj flagi: --format json --pretty. Przydatne do integracji z innymi narzędziami.

  5. Aby wymusić analizę konkretnego modelu (zamiast automatycznego wyboru), użyj flagi --model nazwa_modelu. Jeśli pracujesz z plikiem zamiast live'owego CodexBar, przekaż ścieżkę: --input /tmp/cost.json.

  6. Skill automatycznie wybiera model o najwyższym koszcie z ostatniego wpisu dziennego. Jeśli dane brakuje, wraca do ostatniego modelu z listy modelsUsed — nie musisz nic konfigurować, chyba że chcesz konkretny model.

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