model-usage
OfficialSummarize CodexBar local cost logs by model for Codex or Claude, including current or full breakdowns.
What this skill does
When applied, it prepends a system prompt before your request is sent — no extra calls and no change to how you are billed beyond the added tokens.
---
name: model-usage
description: "Summarize CodexBar local cost logs by model for Codex or Claude, including current or full breakdowns."
metadata:
{
"openclaw":
{
"emoji": "📊",
"os": ["darwin"],
"requires": { "bins": ["codexbar"] },
"install":
[
{
"id": "brew-cask",
"kind": "brew",
"formula": "steipete/tap/codexbar",
"bins": ["codexbar"],
"label": "Install CodexBar (brew cask)",
},
],
},
}
---
# 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.
Live CodexBar CLI invocation is currently documented for macOS only. The bundled Python summarizer is portable: if you already have exported CodexBar JSON, `--input` mode works anywhere Python is available.
## 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>`.
- macOS: use the bundled CodexBar CLI install path above for live local usage reads.
- Linux/other platforms: use `--input` with exported CodexBar JSON until this skill documents a supported local CodexBar install path for that platform.
- File or stdin:
```bash
codexbar cost --provider codex --format json > Use this skill
Add a "skill" field with the skill’s ID to your chat completion request. It is applied server-side before your prompt is sent — no extra calls.
{
"model": "gpt-4o-mini",
"skill": "imp-0eb69f6a-9022-41f3-97b1-5755dbfb07d1",
"messages": [{ "role": "user", "content": "…" }]
}Install the skill, enable it in your dashboard and (optionally) limit it to specific models. It then applies automatically to every matching request — with no "skill" field to send each time.
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