mcu-embedded-review
mcu-embedded-review is an Embedded, IoT & robotics skill for AI agents, published by ecto in the muni repository on GitHub. Skillspace rates mcu-embedded-review D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Reviews embedded Rust firmware for RP2350 (Raspberry Pi Pico 2 W) and ESP32-S3 (Heltec) microcontrollers with focus on Embassy async runtime, memory constraints, LED control, CAN attachment protocols, and SLCAN bridging. Use when reviewing MCU firmware changes, debugging LED controller issues, evaluating Embassy async patterns, checking static memory allocation, validating SLCAN implementations, or assessing hardware-specific code for WS2812 LEDs, CAN peripherals, and tool attachments. Covers no_std environments, PIO state machines, RMT peripherals, and USB CDC serial communication.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 34
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.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 1 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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