Summarize CodexBar local model usage costs by model from JSON input.
npx skills add https://github.com/eggent-ai/eggent --skill model-usage-eggent-ai
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/eggent-ai/eggent/tree/main/bundled-skills/model-usage Command: npx skills add https://github.com/eggent-ai/eggent --skill model-usage-eggent-ai
CodexBar local cost logs can be difficult to interpret. This tool summarizes costs by model, helping you understand spend at a glance and identify cost drivers.
Run the model-usage script with your CodexBar cost JSON to view per-model costs.
High-intent search queries and answers about installing and using this skill.
To summarize local model usage costs by model, process CodexBar JSON logs through the script to aggregate daily expenses per model. It reads cost JSON from a file or standard input to help identify your most expensive models.
Yes, you can track Codex and Claude costs per model using local JSON logs. The tool aggregates cost-tracking outputs by model, providing an all-model breakdown across days for budgeting and spend optimization.
Yes, you need the CodexBar CLI on PATH to analyze per-model usage costs. The tool requires this environment setup to process local logs and generate accurate cost summaries from JSON payloads.
To get a current snapshot of the most expensive model, run the script with your latest CodexBar cost JSON. It identifies the highest-cost model on the latest day, helping you quickly spot daily cost drivers.
The best way to aggregate CodexBar model-level costs for a dashboard is to pipe the JSON output directly into the script via standard input. This flexible input method allows seamless integration for reporting monthly model-level costs.
CodexBar local cost logs are difficult to interpret because raw JSON outputs lack aggregated summaries. This tool solves the problem by grouping costs by model, giving you a clear breakdown for budgeting and optimization.
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