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Model Usage

Your LLM bill arrived and you have no idea which agent caused it. The openclaw llm usage tracking skill shows every token in real time.

What breaks without openclaw llm usage tracking skill

Surprise API bills. No per-model cost visibility. Usage data siloed to provider dashboards.

Real-time token cost visibility × 155-star skill ÷ 5–10 minute setup ÷ local data only = API spend under control.

openclaw llm usage tracking skill — what it actually does

01
Monitor LLM API usage and token counts across all OpenClaw agents.
02
Break down costs by model with /usage breakdown.
03
Set budget alerts before costs hit dangerous levels.
04
Generate usage reports for multi-model deployments.
05
Local data — not synced between OpenClaw instances.

Security check — openclaw llm usage tracking skill

Privacy score: 7/10 — accesses connected platform APIs only. Lock it: review OAuth scopes before install, confirm Linux, macOS; OpenClaw ≥1.0 compatibility.

Quick start — openclaw llm usage tracking skill in 5–10 minutes

Setup time: 5–10 minutes

!
You need:
  • OpenClaw core
  • at least one LLM provider configured

Install the package:

clawhub install steipete/model-usage
1
Install skill
2
Run /usage today for today's token summary
3
Run /usage breakdown by model
4
Set budget alert with /usage budget 50

Troubleshooting openclaw llm usage tracking skill

1
1. Token counts are estimates for some providers — verify with billing dashboard
2
2. Usage data is local — not synced between OpenClaw instances

Compatibility & status

Works with: Linux, macOS; OpenClaw ≥1.0 beginner Last updated: Oct 2025 ★ 155 on GitHub MIT

Official docs →

View on GitHub →

Related — more like openclaw llm usage tracking skill

More by steipete

Unmonitored LLM costs compound silently until the bill arrives. Install the openclaw llm usage tracking skill before the next billing cycle.

Get it on GitHub →