Summarize CodexBar local cost logs into per-model breakdowns for Codex and Claude.
npx skills add https://github.com/zhcndoc/openclaw --skill model-usage-zhcndoc
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/zhcndoc/openclaw/tree/main/skills/model-usage Command: npx skills add https://github.com/zhcndoc/openclaw --skill model-usage-zhcndoc
CodexBar local cost logs can be hard to interpret at a glance; this Skill consolidates usage by model to reveal where costs accrue.
Run the script to summarize your local codexbar cost data and view per-model costs.
High-intent search queries and answers about installing and using this skill.
To summarize CodexBar local cost logs by model, you can use a script that parses local JSON logs to aggregate modelBreakdowns, providing per-model cost totals for Codex and Claude.
Yes, you can view an all-model cost breakdown. The aggregation supports both a current-model view for top daily breakdowns and an all-model view for comprehensive budgeting and optimization.
The best way to analyze per-model usage costs from local JSON logs is to run a script that validates inputs and aggregates the data, outputting either human-readable text or JSON with latest-day costs.
The per-model cost summary outputs both JSON and human-readable text. It validates your local JSON inputs and aggregates the data to produce per-model totals and latest-day costs.
You need to aggregate modelBreakdowns from local CodexBar logs because the raw local cost data can be hard to interpret at a glance, and consolidating it reveals exactly where costs accrue.
aresbitAnalyze CodexBar cost logs to report per-model usage and costs.
Solitude01Aggregate per-model costs from CodexBar JSON logs into text or JSON summaries.
vut08905Parse CodexBar JSON logs to aggregate per-model costs and identify the top-cost model.
RlierSummarize local AI model cost usage from CodexBar CLI output.
