auto-embedded

auto-embedded is a Multi-stage workflow orchestration skill for AI agents, published by DunCanYounG-1 in the auto-embedded repository on GitHub. Skillspace rates auto-embedded C (77/100) and it passed the safety scan; the rating is based on static analysis only.

全平台嵌入式 AI 开发框架（对标 Trellis）：把 RIPER-5 五阶段协议 + 四文件记忆 + 分层架构门禁 + Scout/Builder/Verifier 多 Agent + 21 个工具调用技能（build/flash/debug/serial/can/modbus/visa/static/memory/rtos），做成『装进工程、项目级 hook 必然运行、按角色自动注入相关 spec、REVIEW 学习回流』的闭环，并一次写、全平台交付（Claude/Cursor/Codex/OpenCode/Copilot/Gemini/Windsurf）。用 `aemb init` 在固件工程里安装运行时与各平台注入接线。当用户要为 STM32/ESP32/GD32/MSPM0/RISC-V/国产 MCU 工程搭建可复用开发规范基座、让约定自动注入、跨会话可恢复、编译/烧录/调试一体化，或问到 auto-embedded/aemb/spec 注入/项目级 hook/全平台时使用。不适用于纯 Web/移动/桌面软件或与硬件无关的通用 C/C++。

Grade
C
Quality
77 / 100
Safety
Passed
GitHub stars
188

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 GitHubDunCanYounG-1/auto-embedded

Our review

Architecture
94 / 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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