rk-knowledge

rk-knowledge is an Embedded, IoT & robotics skill for AI agents, published by D-Robotics in the moss repository on GitHub. Skillspace rates rk-knowledge C (79/100) and it passed the safety scan; the rating is based on static analysis only.

Rockchip RK35xx single-platform reference — RK3588 / RK3576 NPU specs, the RKNN-Toolkit2 conversion workflow (.onnx → .rknn on an x86 PC), board-side inference with RKNN-Toolkit-Lite2 / librknnrt, multi-core NPU scheduling via core_mask, and the version-mismatch failures that dominate RKNN support. Use whenever someone asks about a Rockchip RK3588/RK3576 SBC (Radxa ROCK 5B/5 ITX, Orange Pi 5, Firefly), its NPU, RKNN model conversion, .rknn deployment, or "RKNN version mismatch / init runtime failed". 触发词:RK3588、RK3576、Rockchip、瑞芯微、ROCK 5B、Orange Pi 5、Firefly RK3588、RKNN、rknn-toolkit2、rknn_toolkit_lite2、librknnrt、.rknn 转换、NPU 几 TOPS、core_mask、三核 NPU、版本不匹配、init runtime failed。Routing — this skill covers the RK35xx platform itself only; RDK-vs-RK3588 / Jetson / Raspberry Pi selection and "买哪个" comparison → rdk-ecosystem (RDK-anchored); Jetson → jetson-knowledge; Raspberry Pi → rpi-knowledge; RKNN-LLM (LLMs on RK35xx) is a separate Rockchip SDK, out of scope here.

Grade
C
Quality
79 / 100
Safety
Passed
GitHub stars
73

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

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

View source on GitHubD-Robotics/moss

Our review

Architecture
97 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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