Summarize per-model CodexBar cost data from local logs.
npx skills add https://github.com/Zentin-L/Masterbot --skill model-usage-zentin-l
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/Zentin-L/Masterbot/tree/main/skills/model-usage Command: npx skills add https://github.com/Zentin-L/Masterbot --skill model-usage-zentin-l
CodexBar cost data is generated locally; this skill provides a concise, per-model cost summary to help optimize spending and compare models.
Run the model_usage.py script with appropriate flags to generate a per-model cost report for a chosen provider.
High-intent search queries and answers about installing and using this skill.
You can break down per-model CodexBar costs by applying the model_usage script to local JSON payloads or CLI data, producing either human-readable text or JSON spending summaries.
You can identify the most expensive active model by generating a current-model snapshot from the latest daily CodexBar entry to reveal the top spending model for a chosen provider.
The CodexBar cost summarizer supports direct JSON payloads or files as input, but can also read from a locally installed CodexBar CLI if it is available on your PATH.
You can limit the per-model cost breakdown to recent days by applying an optional day limiting parameter when running the model_usage script against your local CodexBar logs.
To compare total spending across all models, compute an all-model breakdown that aggregates total costs by model across all available daily rows in your local CodexBar logs.
czueSummarize per-model CodexBar usage and costs from local JSON logs.
karaabd23-cryptoSummarize per-model usage costs from CodexBar local cost logs.
tygwanAggregate and visualize CLI tool usage statistics from telemetry metrics.
alibabaAggregate Higress access logs into session histories with token-cost analytics.
