Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add zhinkgit/embeddedskills --skill terminalgit clone --depth 1 https://github.com/zhinkgit/embeddedskillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/zhinkgit/embeddedskills/terminal)<a href="https://agentmods.dev/skills/zhinkgit/embeddedskills/terminal"><img src="https://agentmods.dev/badge/skills/zhinkgit/embeddedskills/terminal/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zhinkgit/embeddedskills/terminal"><img src="https://agentmods.dev/badge/skills/zhinkgit/embeddedskills/terminal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00105 | $0.01605 |
| Opus 5.5 | $0.00042 | $0.00642 |
| Sonnet 5.5 | $0.00021 | $0.00321 |
| Haiku 4.5 | $0.00011 | $0.00161 |
Grade A, and why
terminal scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Terminal — 双向交互终端会话
统一封装串口、SSH 和本地 Shell 的双向交互会话。它补齐 serial 的“监控/发送是分离命令”和 ssh 的“远程命令多为一次性执行”之间的空白：当目标需要保持登录状态、菜单状态、REPL 状态或设备 CLI 上下文时，使用本 skill。
定位
serial：扫描、监控、单次发送、日志、Hex 查看。ssh：OpenSSH 配置、远程命令、传输、隧道。terminal：保持一个可持续读写的交互式会话，并通过send/read驱动下一步判断。
配置
环境级配置 (config.json)
terminal skill 的环境级配置目前为空对象 {}。交互终端的关键参数通常和具体会话绑定，优先通过 start 命令显式传入，避免误连设备或误用凭据。
会话状态 (.embeddedskills/state.json)
后台会话运行时状态保存到工作区的 .embeddedskills/state.json，使用 terminal_sessions 字段记录会话名、后端、PID、TCP 控制端口和日志路径。
参数优先级
- CLI 参数 (
--port,--baudrate,--host,--name等) - 最高优先级 - 会话状态 (
.embeddedskills/state.json中已启动的terminal_sessions) - 默认值 - 最低优先级
子命令
| 子命令 | 用途 | 风险 |
|---|---|---|
start |
启动一个后台交互会话 | 中 |
list |
列出现有会话 | 低 |
status |
查询单个会话状态 | 低 |
send |
向会话写入文本或 Hex 数据 | 中 |
read |
读取并清空会话输出缓冲 | 低 |
attach |
前台行模式接入会话 | 中 |
stop |
停止会话并清理状态 | 中 |
后端
| 后端 | 适用场景 | 依赖 |
|---|---|---|
serial |
MCU UART 控制台、AT 命令、Bootloader 菜单、板卡 CLI | pyserial |
ssh |
Linux 开发板交互 Shell、登录后持续操作 | OpenSSH 客户端 |
local |
本机临时 Shell、REPL、CLI 程序交互 | Python 标准库 |
脚本调用
所有脚本位于 skill 目录的 scripts/ 下，通过 python 直接调用。命令示例均以当前 skill 目录为基准。
# 启动串口终端
python scripts/terminal_session.py start serial --port COM11 --baudrate 115200 --name board
# 启动 SSH 终端，host 使用 ~/.ssh/config 中的 Host 别名
python scripts/terminal_session.py start ssh --host 1380-P904 --name devboard
# 启动本地 Shell
python scripts/terminal_session.py start local --name local-shell
# 发送一行命令并追加 CRLF
python scripts/terminal_session.py send board "help" --crlf
# 读取输出，最多等待 1 秒
python scripts/terminal_session.py read board --timeout 1
# 前台行模式接入
python scripts/terminal_session.py attach board
# 查询与停止
python scripts/terminal_session.py list
python scripts/terminal_session.py status board
python scripts/terminal_session.py stop board
会话状态详情
会话元数据保存到工作区：
.embeddedskills/state.json
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 157 lines · 105 tokens per session scan A 93fdc326ded7
terminal is a skill published in the GitHub repository zhinkgit/embeddedskills (756 stars, last pushed yesterday), licensed MIT. It adds 105 tokens to every session and 1,605 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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