model-usage
The model-usage skill queries CodexBar CLI local cost logs to extract and summarize per-model usage costs for Codex or Claude providers. Use it when you need scriptable cost breakdowns by individual model, either for the most recent daily entry or across all models, with output available as plain text or formatted JSON.
git clone --depth 1 https://github.com/the-open-agent/openagent /tmp/model-usage && cp -r /tmp/model-usage/skills/model-usage ~/.claude/skills/model-usageSKILL.md
# Model usage
## Overview
Get per-model usage cost from CodexBar's local cost logs. Supports "current model" (most recent daily entry) or "all models" summaries for Codex or Claude.
TODO: add Linux CLI support guidance once CodexBar CLI install path is documented for Linux.
## Quick start
1. Fetch cost JSON via CodexBar CLI or pass a JSON file.
2. Use the bundled script to summarize by model.
```bash
python {baseDir}/scripts/model_usage.py --provider codex --mode current
python {baseDir}/scripts/model_usage.py --provider codex --mode all
python {baseDir}/scripts/model_usage.py --provider claude --mode all --format json --pretty
```
## Current model logic
- Uses the most recent daily row with `modelBreakdowns`.
- Picks the model with the highest cost in that row.
- Falls back to the last entry in `modelsUsed` when breakdowns are missing.
- Override with `--model <name>` when you need a specific model.
## Inputs
- Default: runs `codexbar cost --format json --provider <codex|claude>`.
- File or stdin:
```bash
codexbar cost --provider codex --format json > /tmp/cost.json
python {baseDir}/scripts/model_usage.py --input /tmp/cost.json --mode all
cat /tmp/cost.json | python {baseDir}/scripts/model_usage.py --input - --mode current
```
## Output
- Text (default) or JSON (`--format json --pretty`).
- Values are cost-only per model; tokens are not split by model in CodexBar output.
## References
- Read `references/codexbar-cli.md` for CLI flags and cost JSON fields.Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
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