Summarize per-model AI costs from CodexBar CLI logs.
npx skills add https://github.com/hammadparveez/mrhammadclaw --skill model-usage-hammadparveez
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/hammadparveez/mrhammadclaw/tree/main/skills/model-usage Command: npx skills add https://github.com/hammadparveez/mrhammadclaw --skill model-usage-hammadparveez
This Skill helps users understand and manage the costs associated with different AI models by summarizing their usage from local logs.
Run the model usage script to see the current model's cost summary for Codex.
High-intent search queries and answers about installing and using this skill.
You can track AI model cost by running scripts that summarize local CodexBar CLI logs. This provides a per-model cost breakdown for Codex and Claude, showing expenses for your most recent usage or an aggregated view of all models.
To break down GPT-4 versus Claude 3 Opus spending, summarize your local cost tracking logs. This provides a per-model cost summary, allowing you to see exactly how much you spent on individual AI models over a specific period.
Yes, you need the CodexBar CLI installed and configured for local cost tracking. The Skill parses the local logs generated by this CLI to provide the per-model cost breakdowns and usage data.
Yes, you can view a cost summary for your most recently used AI model. The Skill can report specifically on the current model's expenses or provide a comprehensive aggregated summary across all tracked models.
Local AI cost tracking works by summarizing usage data stored in local log files. By reading the output from the configured CodexBar CLI, it aggregates expenses and generates per-model cost breakdowns without needing remote API queries.
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