device-test

device-test is an Integration & environment testing skill for AI agents, published by mybigday in the llama.rn repository on GitHub. Skillspace rates device-test C (72/100) and it passed the safety scan; the rating is based on static analysis only.

Build and run the llama.rn example app on real hardware to validate native (cpp/) changes end-to-end - iOS-on-Mac ("Designed for iPad" on Apple Silicon, real Metal GPU) and Android on a connected Snapdragon device with ggml-hexagon (HTP/NPU) enabled. Use this whenever the user wants to test on a real device or real GPU/NPU, says "run on my mac", "test on the phone/device", mentions hexagon, HTP, NPU, Metal GPU testing, or after C++ changes when unit tests pass but on-device verification is needed. Both flows compile the C++ from source, so cpp/ edits take effect.

Grade

C

Quality

72 / 100

Safety

Passed

GitHub stars

999

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. 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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