benchmark

benchmark is a Backend performance & caching skill for AI agents, published by dragonflydb in the dragonfly repository on GitHub. Skillspace rates benchmark C (72/100) and it passed the safety scan; a judge model has also reviewed it.

Benchmark Dragonfly (and compare against Valkey/Redis) on local or remote cloud instances, then produce a performance + memory report with charts and a raw-data appendix. Use this whenever the user runs /benchmark, or asks to benchmark / load-test / measure throughput, QPS, latency, or memory efficiency of Dragonfly or another Redis-compatible server, to compare Dragonfly vs Valkey or Redis, or to generate a benchmark report. Trigger it even when the user just describes the goal ("see how fast Dragonfly is on this box", "compare memory per key vs Valkey") without saying the word "benchmark".

Grade

C

Quality

72 / 100

Safety

Passed

GitHub stars

30,876

Placed #1 of 2 when judged against its near-duplicates in Backend performance & caching.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

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