Analyze OpenClaw session logs to report token usage, costs, and performance by model.
npx skills add https://github.com/khaney64/session-cost --skill session-cost
Please help me install this Agent Skill. Skill: session-cost Source: https://github.com/khaney64/session-cost/tree/main Command: npx skills add https://github.com/khaney64/session-cost --skill session-cost
OpenClaw users need visibility into API spending, token usage, and performance across sessions to optimize costs and performance.
Run node scripts/session-cost.js to generate a summary of your OpenClaw sessions and costs.
High-intent search queries and answers about installing and using this skill.
This Skill analyzes OpenClaw session logs to report token usage and costs grouped by model, aggregating input, output, and cache tokens from JSONL session files to generate structured cost summaries.
The best way to get a per-model breakdown of API spending is to run the session-cost script, which aggregates token costs and usage metrics from your session logs into per-model and per-session summaries.
Yes, you can output session cost summaries in text, JSON, or Discord-friendly formats. The script structures aggregated token usage and cost data to support these export formats.
Yes, the session cost analyzer works without external dependencies. It runs as a standalone Node.js script and reads JSONL session files directly from the default path.
To report on cache token usage across different models, the script reads your OpenClaw session logs and aggregates cache tokens alongside input and output tokens to provide a complete usage summary.
You can extract token usage, costs, and latency performance metrics from OpenClaw session logs. The analyzer aggregates these metrics to help optimize API spending and model efficiency across sessions.
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