benchclaw-stage5-opencode-usage-report

To generate token and cost usage reports for Opencode sessions, you run this Skill to automatically extract and aggregate data from your latest parent session using Python and SQLite, providing a detailed breakdown of resource consumption.

An Opencode token and cost breakdown for BenchClaw Stage5 includes detailed usage metrics categorized by input, output, reasoning, cache, and total tokens, alongside the associated costs for both parent and subagent sessions.

Yes, you need Python and SQLite to audit Opencode resource consumption, as the Skill relies on these dependencies to interact directly with Opencode session data and extract the necessary usage metrics.

Yes, you can track subagent session token consumption during performance auditing, as the generated report specifically includes resource usage data from subagent sessions alongside the latest parent session data.

The best way to analyze BenchClaw Stage5 session costs is to run this Skill, which queries your SQLite session data to produce a comprehensive breakdown of input, output, reasoning, and cache token costs.

You need usage reporting for embodied AI benchmarking sessions when performing cost analysis or performance auditing, allowing you to understand and verify the exact resource consumption of your BenchClaw Stage5 operations.