can
can is an Embedded, IoT & robotics skill for AI agents, published by zhinkgit in the embeddedskills repository on GitHub. Skillspace rates can D (59/100) and it passed the safety scan; the rating is based on static analysis only.
嵌入式 CAN / CAN-FD 调试工具,用于扫描接口、监控报文、发送测试帧、记录日志、数据库文件解码和总线统计。 当用户提到 CAN、CAN-FD、DBC 解码、总线抓包、USB-CAN 联调、报文发送、总线统计、 PCAN、Vector、slcan、CAN 接口扫描、CAN ID 过滤、ASC 日志、BLF 文件时自动触发, 也兼容 /can 显式调用。即使用户只是说"看看 CAN 报文"、"发一帧试试"或"解码一下 DBC", 只要上下文明确提到 CAN 总线通信的操作或问题就应触发此 skill。
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 660
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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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