embedded-review

embedded-review is a Change & PR review skill for AI agents, published by ylongw in the embedded-review repository on GitHub. Skillspace rates embedded-review B (81/100) and it passed the safety scan; the rating is based on static analysis only.

Expert code review for embedded/firmware projects with dual-model cross-review (Claude + Codex via ACP). Detects memory safety, interrupt hazards, RTOS pitfalls, hardware interface bugs, and C/C++ anti-patterns. Trigger when user asks to review embedded/firmware/MCU code changes, diffs, or PRs. Examples: 'review firmware-pro2 的改动', 'review the NFC changes', '/embedded-review ~/path/to/repo', '/embedded-review ~/path/to/repo HEAD~5..HEAD', '/embedded-review <github-pr-url>'. Target environments: bare-metal MCU (STM32, nRF, ESP32, RP2040), RTOS (FreeRTOS/Zephyr/ThreadX), Linux embedded, mixed C/C++ firmware.

Grade
B
Quality
81 / 100
Safety
Passed
GitHub stars
34

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

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

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

View source on GitHubylongw/embedded-review

Our review

Architecture
100 / 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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