Report AI token usage and estimate USD costs from OpenClaw logs.
npx skills add https://github.com/netanel-abergel/pa-skills --skill usage-costs
Please help me install this Agent Skill. Skill: usage-costs Source: https://github.com/netanel-abergel/pa-skills/tree/main/skills/usage-costs Command: npx skills add https://github.com/netanel-abergel/pa-skills --skill usage-costs
It eliminates the guesswork around how many AI tokens have been consumed and what monetary cost they represent across sessions, cron jobs, and sub‑agents.
openclaw status --deep for the main session and cached data.token-history.jsonl to provide per‑day breakdowns and per‑session cost estimates.Ask the assistant: “How much did today cost?”
High-intent search queries and answers about installing and using this skill.
To check AI token usage and calculate costs for an OpenClaw session, you can request a live session report. The system pulls current token counts from `openclaw status --deep` and applies model-specific pricing to estimate USD values.
You can estimate daily AI spend from cron run logs by generating a cron history report. The system summarizes input and output tokens from recent cron run logs and applies provider-specific rates to calculate the monetary cost.
Yes, you can get a weekly breakdown of token usage and costs from token-history logs. The system aggregates data from `token-history.jsonl` to provide per-day token breakdowns and per-session USD cost estimates.
Yes, the cost estimation applies specific pricing rates for different AI models. It uses provider-specific rates, such as Claude Sonnet pricing, to convert raw token counts into accurate USD cost estimates.
The best way to track sub-agent token consumption and calculate total cost is by requesting a usage report. The system collects token counts via OpenClaw status commands and applies model-specific pricing to generate USD cost estimates for sub-agent activity.
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