openclaw-model-usage
# OpenClaw Model Usage
Use this skill to inspect local OpenClaw model usage directly from session JSONL files.
## When to use
Use this skill when the user asks for:
- the current / most recent model in use
- recent model usage
- usage summaries by provider/model
- token totals by model
- cost summaries by model when available
- per-agent or per-session usage
- session/subagent rollups
- daily model usage summaries
- a compact summary plus an optional HTML dashboard
## What it does
This skill provides a local-first replacement for external model-usage workflows.
It reads OpenClaw session logs directly and does not depend on CodexBar.
## Preferred usage
Start with a short human-readable summary:
```bash
python {baseDir}/scripts/model_usage.py
python {baseDir}/scripts/model_usage.py overview
python {baseDir}/scripts/model_usage.py top-agents
python {baseDir}/scripts/model_usage.py top-sessions
```
Generate the HTML dashboard from **real local logs** when the user wants a richer artifact:
```bash
python {baseDir}/scripts/model_usage.py dashboard --root ~/.openclaw/agents --out dist/dashboard.html --title "OpenClaw Usage Dashboard"
```
Recommended response pattern:
- return a short human-readable summary first
- optionally generate and attach the HTML dashboard for richer inspection on phone/desktop
## JSON output
```bash
python {baseDir}/scripts/model_usage.py overview --json --pretty
python {baseDir}/scripts/model_usage.py sessions --json --pretty
python {baseDir}/scripts/model_usage.py subagents --json --pretty
python {baseDir}/scripts/model_usage.py rows --limit 20 --json --pretty
```
## Inputs
Default real source:
```bash
~/.openclaw/agents
```
Important:
- use the real local OpenClaw log root for user-facing summaries and dashboards
- do **not** use `tests/fixtures_root` unless you are intentionally running development tests
- fixture roots generate sample/test output, not the user's real usage report
## References
If you need field-level sourcing details, read:
- `references/discovery.md`
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skill
ai