Benchmark Moon performance across modes and generate a Markdown report.
npx skills add https://github.com/pilotspace/moon --skill bench-pilotspace
Please help me install this Agent Skill. Skill: bench Source: https://github.com/pilotspace/moon/tree/main/.claude/skills/bench Command: npx skills add https://github.com/pilotspace/moon --skill bench-pilotspace
Benchmarks Moon performance across modes to identify regressions and guide optimization.
Invoke the bench skill with a mode (e.g., micro) to start the suite.
High-intent search queries and answers about installing and using this skill.
Benchmarking Moon performance involves running targeted tests across micro, production, resources, and profile modes to compare throughput, latency, and resource usage, yielding a Markdown report that identifies bottlenecks and guides optimization efforts.
Micro benchmarking targets isolated component load profiles for granular latency measurement, whereas production benchmarking simulates real-world throughput scenarios across the entire Moon system to identify broader resource usage and performance bottlenecks.
Yes, you can run Moon latency and throughput tests in CI by applying scripted benchmark steps with optional flags like --shards and --duration, ensuring reproducible runs that produce a comparable results report for regression tracking.
Yes, the skill supports resource profiling through the dedicated resources and profile modes, allowing you to measure and compare CPU and memory usage alongside throughput and latency metrics during performance testing.
The best way to compare Moon performance results is by generating the skill's concise Markdown report, which formats throughput, latency, and resource usage data into an easily shareable summary for tracking regressions across reproducible runs.
Using the --shards and --duration flags when profiling Moon latency allows you to control test segmentation and execution time, ensuring reproducible benchmark runs that yield stable throughput and resource usage measurements for accurate bottleneck identification.
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