Summarize CodexBar cost usage by model from exported cost JSON.
npx skills add https://github.com/MerkyorLynn/Lynn --skill model-usage-merkyorlynn
Please help me install this Agent Skill. Skill: model-usage Source: https://github.com/MerkyorLynn/Lynn/tree/main/skills2set/model-usage Command: npx skills add https://github.com/MerkyorLynn/Lynn --skill model-usage-merkyorlynn
It solves the problem of not knowing how much you spend on different models when using CodexBar locally, so you can make informed choices without manually reading raw logs.
modelsUsed when breakdowns are missing), and supports an explicit override.Ask for a per-model cost report for the current day’s most recent model by running python {baseDir}/scripts/model_usage.py --provider codex --mode current.
High-intent search queries and answers about installing and using this skill.
To get a per-model cost breakdown from CodexBar usage logs, you can run the provided Python CLI script. It aggregates the modelBreakdowns from your local cost JSON into cost-only totals to reveal your spending distribution across models.
Summarizing local CodexBar cost JSON for budgeting is done by parsing the exported file or stdin input. The script aggregates modelBreakdowns into per-model cost totals, helping you optimize spending without manually reading raw logs.
Yes, you can check your current model cost snapshot by running the script in current mode. It selects the highest-cost model from the most recent daily row, automatically falling back to modelsUsed when specific breakdowns are missing.
The cost analysis script supports analyzing both Codex and Claude providers. You can specify the provider when generating the JSON input via codexbar cost --format json --provider codex|claude to aggregate the respective model costs.
Yes, you need Python3 installed to parse CodexBar cost logs into a JSON summary. The script runs locally as a Python CLI command to read the cost data and aggregate the per-model breakdowns for your analysis.
Your CodexBar cost report might show an unexpected model because the current mode logic selects the highest-cost model from the most recent daily row. If breakdowns are missing, it falls back to the modelsUsed field, which may alter the output.
BEIRUXSummarize per-model cost usage from CodexBar cost JSON.
hongmaple0820Summarize CodexBar cost JSON into per-model usage reports.
pertain99Aggregate per-model costs from CodexBar local logs into JSON.
JoeyJoziahSummarize CodexBar cost logs by model with per-day aggregation and date filtering.