Parse CodexBar cost JSON payloads and aggregate modelBreakdowns by model.
npx skills add https://github.com/191854169/openclawFork --skill model-usage-191854169
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/191854169/openclawFork/tree/main/skills/model-usage Command: npx skills add https://github.com/191854169/openclawFork --skill model-usage-191854169
CodexBar local cost logs can be hard to parse by model, making it difficult to quickly understand per-model usage and costs in a local environment.
Run the model_usage script against local codexbar cost data to generate a per-model usage summary.
High-intent search queries and answers about installing and using this skill.
You can parse CodexBar cost JSON payloads and aggregate modelBreakdowns by model to summarize per-model cost breakdowns. The Skill outputs results in text or JSON formats for budgeting and optimization.
Tracking Codex and Claude usage costs in a local development environment involves parsing CodexBar local logs. This Skill provides current-model and all-models reports to help you audit AI usage and optimize your workflow budget.
Yes, you can output CodexBar cost analysis results in JSON format for easy integration. The Skill aggregates local log modelBreakdowns and supports both human-readable text and JSON output formats.
Yes, the per-model usage summary works without external dependencies. It parses local codexbar cost data using internal scripts and references to generate reports directly in your local environment.
You need to parse local logs for AI model cost budgeting when you want to understand per-model usage and costs in a local environment. This is useful for auditing local workflows and optimizing your current-model spending.
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