Summarizes per-model usage and cost data from CodexBar CLI logs for Claude and Codex users.
This skill enables Claude to analyze and report on AI model expenditures by integrating with CodexBar CLI local cost logs. It provides detailed breakdowns for both Codex and Claude models, allowing users to view summaries for the most recent session or a comprehensive history of all models used. By parsing JSON usage data, it helps developers track their spending, identify high-cost models, and maintain budget transparency directly within their development environment.
Key Features
01Provides flexible output formats including plain text and pretty-printed JSON
02Supports custom model overrides and specific model filtering
033 GitHub stars
04Retrieves usage data for the current active model or all historical entries
05Summarizes per-model cost breakdowns for Claude and Codex providers
06Parses CodexBar CLI JSON output for scriptable and readable summaries
Use Cases
01Identifying which specific LLM models are consuming the most resources during development
02Generating formatted cost reports from local logs for project management and auditing
03Monitoring daily AI API expenditures to stay within project budget limits
