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 malue-ai/dazee-small --skill windows-terminalgit clone --depth 1 https://github.com/malue-ai/dazee-smallWrote 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/malue-ai/dazee-small/windows-terminal)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/windows-terminal"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/windows-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/malue-ai/dazee-small/windows-terminal"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/windows-terminal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00029 | $0.01134 |
| Opus 5 | $0.00015 | $0.00567 |
| Sonnet 5 | $0.00006 | $0.00227 |
| Haiku 4.5 | $0.00003 | $0.00113 |
Grade A, and why
windows-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 9d 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Windows Terminal 管理
通过 wt 命令行操作 Windows Terminal:打开新标签页、选择配置文件、分屏、管理会话。
Windows 11 内置,Windows 10 可通过 Microsoft Store 安装。
使用场景
- 用户说「打开一个终端」「开个 PowerShell 窗口」「开个 WSL 终端」
- 需要同时运行多个命令(分屏操作)
- 需要以特定配置文件打开终端
- 执行长时间任务需要独立终端窗口
命令参考
打开新终端
# 打开默认终端
wt
# 打开 PowerShell
wt -p "PowerShell"
# 打开 CMD
wt -p "命令提示符"
# 打开 WSL(如果已安装)
wt -p "Ubuntu"
指定工作目录
# 在指定目录打开
wt -d "C:\Users\%USERNAME%\Projects"
# 在当前目录打开新终端
wt -d .
运行命令
# 打开并执行命令
wt -- powershell -NoExit -Command "Get-Process | Sort-Object CPU -Descending | Select-Object -First 10"
# 打开 CMD 并执行
wt -p "命令提示符" -- cmd /k "dir C:\"
# 打开并运行 Python 脚本
wt -- python "C:\scripts\monitor.py"
标签页管理
# 打开多个标签页
wt -p "PowerShell" `; new-tab -p "命令提示符" `; new-tab -p "Ubuntu"
# 带标题的标签页
wt --title "前端开发" -d "C:\project\frontend" `; new-tab --title "后端" -d "C:\project\backend"
分屏(Split Pane)
# 水平分屏
wt -p "PowerShell" `; split-pane -H -p "命令提示符"
# 垂直分屏
wt -p "PowerShell" `; split-pane -V -p "命令提示符"
# 指定分屏比例
wt -p "PowerShell" `; split-pane -V --size 0.3 -p "命令提示符"
# 复杂布局:左右分屏 + 右侧再上下分
wt -p "PowerShell" `; split-pane -V -p "命令提示符" `; split-pane -H -p "Ubuntu"
窗口控制
# 全屏启动
wt --fullscreen
# 最大化启动
wt --maximized
# 指定窗口大小和位置
wt --pos 100,100 --size 120,40
# 聚焦到指定标签
wt focus-tab -t 0
配置管理
# 打开设置界面
wt settings
# 列出已有配置文件
Get-Content "$env:LOCALAPPDATA\Packages\Microsoft.WindowsTerminal_8wekyb3d8bbwe\LocalState\settings.json" |
ConvertFrom-Json |
Select-Object -ExpandProperty profiles |
Select-Object -ExpandProperty list |
ForEach-Object { Write-Output "$($_.name) — $($_.commandline)" }
常用开发场景
前后端开发环境
# 一键开启开发环境:前端 + 后端 + 数据库日志
wt --title "Frontend" -d "C:\project\frontend" -- npm run dev `; `
new-tab --title "Backend" -d "C:\project\backend" -- python main.py `; `
new-tab --title "Logs" -- powershell -Command "Get-Content C:\logs\app.log -Wait"
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.
- 9d ago First seen · 152 lines · 29 tokens per session scan A d42454621c3a
windows-terminal is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 29 tokens to every session and 1,134 once invoked, about $0.0001 per session on Opus 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 2026-09-03.
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