Summarize per-model costs from CodexBar JSON cost logs.
npx skills add https://github.com/MaxSaiets/myOpenCL --skill model-usage-maxsaiets
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/MaxSaiets/myOpenCL/tree/main/openclaw/skills/model-usage Command: npx skills add https://github.com/MaxSaiets/myOpenCL --skill model-usage-maxsaiets
CodexBar local cost logs can be difficult to parse and summarize into per-model usage costs; this Skill provides a focused way to extract per-model costs for Codex or Claude, including the current model and a full breakdown.
Run the bundled Python script to summarize per-model costs from a local codexbar cost JSON file.
High-intent search queries and answers about installing and using this skill.
You can summarize per-model cost usage by parsing CodexBar local JSON cost logs via a Python script to extract per-model totals. It identifies the current highest-cost model and processes daily breakdowns for Codex or Claude.
Identifying the highest-cost model involves parsing local CodexBar JSON cost logs to extract current model expenses. The script automatically isolates the most expensive model from the latest payload data for quick review.
Yes, you can pass JSON cost payloads via stdin for model usage analysis. The tool accepts input from a local file or stdin and returns either human-readable text or structured JSON results suitable for automation.
Yes, the summarizer handles daily breakdowns for both Codex and Claude. It parses daily JSON cost payloads to compute per-model totals, applying the analysis to all-model breakdowns and current model views.
The primary limitation is that parsing local JSON cost logs requires correctly structured CodexBar payload data. The tool processes local files or stdin exclusively and does not fetch logs from remote APIs or handle non-JSON formats.
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