Summarize per-model usage costs from CodexBar logs into text or JSON.
npx skills add https://github.com/liutao96/skill --skill model-usage-liutao96
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/liutao96/skill/tree/main/model-usage Command: npx skills add https://github.com/liutao96/skill --skill model-usage-liutao96
Automates the summarization of per-model usage costs from CodexBar local cost logs for quick visibility into model-level spending for Codex or Claude.
Run the bundled Python script to summarize per-model CodexBar usage from the local cost logs or a provided cost JSON.
High-intent search queries and answers about installing and using this skill.
You can summarize per-model usage costs from CodexBar logs by running a Python script that identifies costs for Codex and Claude, generating a concise report of the latest daily entries or all models. It supports JSON or text outputs with optional date filtering.
To get a current model cost breakdown, use a script that reads the latest daily entry from CodexBar local cost logs to report the top-cost model and its total cost. It aggregates costs by model to compare usage across Codex and Claude.
Yes, you need Python 3 to parse CodexBar cost output locally. The script requires Python 3, the CodexBar CLI, and standard JSON parsing to read from a local JSON payload or live codexbar cost output.
Yes, you can output CodexBar usage data as JSON for automation. The script generates machine-parseable JSON or human-readable text reports from the local cost logs, accepting a local codexbar cost JSON or reading live CLI output.
Yes, CodexBar usage summarization supports date filtering for specific daily entries. You can apply optional date filters when summarizing per-model usage costs from the local cost logs for Codex and Claude models.
aresbitAnalyze CodexBar cost logs to report per-model usage and costs.
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