Agent skill

Serial

by zhinkgit in zhinkgit/embeddedskills

嵌入式串口调试工具,用于扫描串口、实时监控、发送数据、记录日志和 Hex 查看. An agent skill from zhinkgit/embeddedskills.

MITAuto-check passed

Install Serial

skills CLI
$ npx skills add zhinkgit/embeddedskills --skill serial -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zhinkgit/embeddedskills serial --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zhinkgit/embeddedskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/serial .claude/skills/serial && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
serial
GitHub stars
731
Token cost
~1.4k tokens
SKILL.md length
298 words
Files
11 (incl. scripts, references)
Skills in repo
12
Repo updated
First seen
Licence
MIT

At a glance

嵌入式串口调试工具,用于扫描串口、实时监控、发送数据、记录日志和 Hex 查看. An agent skill from zhinkgit/embeddedskills.

  • Works in 4 steps: CLI 参数 (--port, --baudrate 等) - 最高优先级 → 工程级配置 (.embeddedskills/config.json 中的… → 状态文件 (.embeddedskills/state.json 中的历史记录) → …
  • SKILL.md covers 配置, 子命令, 执行流程 and 脚本调用, plus 4 more sections
  • Runs Python scripts from its folder; calls python, pip and apt

What it does

Serial is an agent skill from zhinkgit/embeddedskills. 嵌入式串口调试工具,用于扫描串口、实时监控、发送数据、记录日志和 Hex 查看。 当用户提到串口、COM 口、UART、AT 命令调试、波特率、Hex 串流、串口抓日志、 串口监控、查看 MCU 输出、二进制协议联调时自动触发,也兼容 /serial 显式调用。 即使用户只是说"看看串口输出"、"发个 AT 命令"或"抓一下日志",只要上下文涉及 串口通信就应触发此 skill。

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts and reference files (for example `README.md`, `config.example.json` and `references/common_devices.json`).

It works with Python. The repository describes itself as: An open-source collection of embedded development and debugging skills for Claude Code, Copilot, TRAE, and other AI coding assistants that support the Skill protocol. Once… The licence is MIT.

Example prompts

  • “看看串口输出”
  • “发个 AT 命令”
  • “/serial”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. CLI 参数 (--port, --baudrate 等) - 最高优先级
  2. 工程级配置 (.embeddedskills/config.json 中的 serial 部分)
  3. 状态文件 (.embeddedskills/state.json 中的历史记录)
  4. 默认值 - 最低优先级

What it can do on your machine

Read from SKILL.md and the folder at commit 536c1f9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 7 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • pip
    • apt

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Serial loads about 1.4k tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 50 tokens; SKILL.md has 298 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from zhinkgit/embeddedskills at commit 536c1f9, republished under its MIT licence (© zhinkgit). 298 words, ~1,374 tokens.

Download SKILL.mdSave it as .claude/skills/serial/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.
name
serial
description
嵌入式串口调试工具,用于扫描串口、实时监控、发送数据、记录日志和 Hex 查看。 当用户提到串口、COM 口、UART、AT 命令调试、波特率、Hex 串流、串口抓日志、 串口监控、查看 MCU 输出、二进制协议联调时自动触发,也兼容 /serial 显式调用。 即使用户只是说"看看串口输出"、"发个 AT 命令"或"抓一下日志",只要上下文涉及 串口通信就应触发此 skill。
argument-hint
[scan|monitor|send|hex|log] ...

Serial — 嵌入式串口调试工具

统一封装端口发现、实时监控、数据发送、日志记录和 Hex 查看能力。

配置

环境级配置 (skill/config.json)

serial skill 的环境级配置目前为空对象 {},因为串口参数属于工程级配置,统一在工作区的 .embeddedskills/config.json 中管理。

工程级配置 (.embeddedskills/config.json)

工作区下的 .embeddedskills/config.json 存放工程级串口配置:

json
{
  "serial": {
    "port": "",
    "baudrate": 115200,
    "bytesize": 8,
    "parity": "none",
    "stopbits": 1,
    "encoding": "utf-8",
    "timeout_sec": 1.0,
    "log_dir": ".embeddedskills/logs/serial"
  }
}
字段说明默认值
port串口号,如 COM3""
baudrate波特率115200
bytesize数据位8
parity校验位:none/even/odd/mark/spacenone
stopbits停止位:1/1.5/21
encoding文本编码utf-8
timeout_sec读写超时(秒)1.0
log_dir日志输出目录.embeddedskills/logs/serial
参数解析优先级
  1. CLI 参数 (--port, --baudrate 等) - 最高优先级
  2. 工程级配置 (.embeddedskills/config.json 中的 serial 部分)
  3. 状态文件 (.embeddedskills/state.json 中的历史记录)
  4. 默认值 - 最低优先级
自动扫描行为

当未指定 port 时,脚本会自动扫描系统串口:

  • 若只找到一个串口,自动使用该端口并写入工程配置
  • 若找到多个串口,返回候选列表让用户选择(通过 --port 指定)
  • 若未找到串口,提示错误

子命令

子命令用途风险
scan扫描可用串口低
monitor实时查看文本输出低
send发送文本或 Hex 数据中
hex实时查看二进制流低
log保存串口日志到文件低

执行流程

  1. 检查 pyserial 是否可用,未安装时提示 pip install pyserial
  2. 按优先级解析参数:CLI > 工程级配置 > 状态文件 > 默认值
  3. 无子命令时默认执行 scan
  4. monitor / send / hex / log 使用解析后的连接参数
  5. 若未指定 port,自动扫描系统串口:
    • 唯一候选:自动使用并写入工程配置
    • 多候选:返回列表让用户选择
  6. 成功执行后,将确认的参数写回工程配置
  7. 运行对应脚本并输出结构化结果
  8. 失败时优先反馈端口占用、驱动、波特率和编码问题

脚本调用

所有脚本位于 skill 目录的 scripts/ 下,通过 python 直接调用。 脚本会按优先级从 CLI 参数、工程级配置、状态文件中读取参数。

bash
# 扫描串口
python scripts/serial_scan.py [--filter <关键词>] [--json]

# 实时监控
python scripts/serial_monitor.py [--port <串口>] [--baudrate <波特率>] [--timestamp] [--filter <regex>] [--timeout <秒>] [--json]

# 发送数据
python scripts/serial_send.py [--port <串口>] [--baudrate <波特率>] <data> [--hex] [--crlf] [--repeat <次>] [--wait-response] [--json]

# Hex 查看
python scripts/serial_hex.py [--port <串口>] [--baudrate <波特率>] [--width <列>] [--timeout <秒>] [--json]

# 日志记录
python scripts/serial_log.py [--port <串口>] [--baudrate <波特率>] [--output <文件>] [--duration <秒>] [--format text|csv|json] [--json]

输出格式

单次命令返回标准 JSON:

json
{
  "status": "ok",
  "action": "scan",
  "summary": "发现 2 个串口",
  "details": { ... }
}

持续命令(monitor --json、hex --json)输出 JSON Lines,结束摘要写入 stderr。

错误输出:

json
{
  "status": "error",
  "action": "monitor",
  "error": { "code": "port_busy", "message": "串口被其他程序占用" }
}

串口多路复用 (Mux)

当需要同时使用 minicom(或其他串口工具)和 skill 脚本访问同一个串口设备时,可以通过 mux 后台服务实现多路复用。

依赖
  • socat — apt install socat / pacman -S socat
架构
                   ┌──────────────────┐
                   │   Real Hardware   │
                   │   /dev/ttyUSB0    │
                   └────────┬─────────┘
                            │
                   ┌────────▼─────────┐
                   │ Python mux server │
                   │ TCP-LISTEN:20001  │  单串口读者 + 广播
                   └────────┬─────────┘
                            │
            ┌───────────────┼───────────────┐
            │               │               │
   ┌────────▼──────┐ ┌─────▼──────┐ ┌──────▼────────┐
   │  socat PTY    │ │ skill      │ │ skill         │
   │ /tmp/serial_  │ │ monitor    │ │ send/log/hex  │
   │ mux_vserial   │ │ socket://  │ │ socket://     │
   └───────┬───────┘ └────────────┘ └───────────────┘
           │
   ┌───────▼───────┐
   │   minicom     │
   │  (用户侧)      │
   └───────────────┘
  • Layer 1: Python mux 进程独占打开真实串口,暴露 TCP server,并把串口 RX 广播给所有客户端
  • Layer 2: socat 作为 TCP 客户端创建虚拟 PTY /tmp/serial_mux_vserial,供 minicom 使用
  • Skill 脚本: 自动检测 mux 状态,仅当本次串口配置与 mux 匹配时通过 socket:// 连接 TCP 端口
  • 数据流: 串口 RX → 广播到所有 TCP 客户端;任一客户端 TX → 转发到真实串口
Mux 管理命令
bash
# 启动多路复用
python scripts/serial_mux.py start --port /dev/ttyUSB0 [--baudrate 115200]

# 查询状态
python scripts/serial_mux.py status

# 停止多路复用
python scripts/serial_mux.py stop

启动后,skill 脚本(monitor/hex/log/send)自动通过多路复用连接,无需额外参数。若命令显式指定了不同串口或串口参数,则不会复用当前 mux。

使用流程
  1. python scripts/serial_mux.py start --port /dev/ttyUSB0
  2. minicom -D /tmp/serial_mux_vserial(用户侧交互)
  3. python scripts/serial_monitor.py(模型侧监控,自动走 mux)
  4. 两个终端同时看到串口数据
  5. python scripts/serial_mux.py stop 停止复用(终止 socat 进程并清理 /tmp/serial_mux_vserial 符号链接)
写入冲突警告

多客户端同时写入会导致串口数据错乱。 监控/hex/log 脚本在通过 mux 连接时输出警告到 stderr。send 脚本输出更强的冲突警告。如需直连真实串口(跳过 mux),使用 --direct 参数。

Mux 状态持久化

mux 进程 PID 保存到 .embeddedskills/state.json 的 serial_mux 段。脚本退出后下次调用 status 会检测进程是否仍存活,自动清理僵尸 PID。start 成功后会把已确认的串口配置写回 .embeddedskills/config.json,方便后续无参命令复用。stop 命令会终止 mux 与 socat PTY 进程,并删除残留的 /tmp/serial_mux_vserial 符号链接。

核心规则

  • 不自动猜测波特率;发现多个候选串口时不自动选择端口
  • 参数解析优先级:CLI > 工程级配置 > 状态文件 > 默认值
  • 未指定 port 时自动扫描,唯一候选自动写入配置,多候选需用户选择
  • 成功执行后,确认的参数自动写回 .embeddedskills/config.json
  • 未明确说明用途时不主动发送任何串口数据
  • --json 输出的持续流使用 JSON Lines,摘要写 stderr 不污染数据流
  • 正则过滤失败不应导致监控退出
  • Mux 运行中发送数据前提示用户避免同时写入

参考

  • references/common_devices.json:常见 USB 转串口芯片 VID/PID 映射

© zhinkgit, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 10 other files (scripts, references) in serial of zhinkgit/embeddedskills.

  • SKILL.md
  • README.md
  • config.example.json
  • references/common_devices.json
  • scripts/serial_hex.py
  • scripts/serial_log.py
  • scripts/serial_monitor.py
  • scripts/serial_mux.py
  • scripts/serial_runtime.py
  • scripts/serial_scan.py
  • scripts/serial_send.py

Open the folder on GitHubat commit 536c1f9

Compare with similar skills

Serial next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Serial compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Serial this skillzhinkgit/embeddedskills731—~1.4kAutomated safety check: PassMIT
MCP Server Builderanthropics/skills180k62 repos~2.3kAutomated safety check: PassApache-2.0
PDF Processinganthropics/skills180k48 repos~2kAutomated safety check: PassProprietary
NotebookLM Research AssistantPleasePrompto/notebooklm-skill7.8k13 repos~2.4kAutomated safety check: NotesMIT
Manim Video Productionbrowser-use/video-use28k6 repos~3kAutomated safety check: PassMIT
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

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Works with

Questions about Serial

What does Serial do?

嵌入式串口调试工具,用于扫描串口、实时监控、发送数据、记录日志和 Hex 查看. An agent skill from zhinkgit/embeddedskills. Serial is an agent skill from zhinkgit/embeddedskills.

How do I install Serial in Claude Code?

Run `npx skills add zhinkgit/embeddedskills --skill serial -a claude-code`. Or copy the skill folder (serial in zhinkgit/embeddedskills) into .claude/skills/serial in your project. Claude Code loads it when a task matches its description.

How do I install Serial in Codex?

Run `npx skills add zhinkgit/embeddedskills --skill serial -a codex`. Or copy the skill folder (serial in zhinkgit/embeddedskills) into .agents/skills/serial in your project. Codex loads it when a task matches its description.

Can I use Serial in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zhinkgit/embeddedskills --skill serial -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/serial, .gemini/skills/serial, .github/skills/serial and .opencode/skills/serial in your project.

What does Serial need to run?

Going by SKILL.md and its folder, Serial needs Python for the scripts in its folder and the command-line tools its instructions call (python, pip and apt). Our summary lists: Python 3.

Does Serial access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Serial safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Serial use?

Serial is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Serial use?

About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 223 tokens, read only when the agent opens those files.

What are the alternatives to Serial?

Skills that share tags, products or a category with Serial: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Serial?

zhinkgit (a GitHub user) maintains it in zhinkgit/embeddedskills, which has 731 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 3, 2026.

Source: zhinkgit/embeddedskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.