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-notificationgit 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-notification)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/windows-notification"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/windows-notification/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-notification"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/windows-notification.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 | $0.00017 | $0.00496 |
| Opus 5 | $0.00009 | $0.00248 |
| Sonnet 5 | $0.00003 | $0.00099 |
| Haiku 4.5 | $0.00002 | $0.00050 |
Grade A, and why
windows-notification 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.
What it actually says
Windows 系统通知
使用 PowerShell 发送 Windows 10/11 系统通知。
使用场景
- 长时间任务完成后通知用户
- 定时提醒
- 需要引起用户注意的重要消息
命令参考
方式 1：BurntToast 模块（推荐，功能丰富）
# 首次安装
Install-Module -Name BurntToast -Force
# 基础通知
New-BurntToastNotification -Text "小搭子", "任务已完成"
# 带按钮的通知
$button = New-BTButton -Content "查看" -Arguments "explorer.exe"
New-BurntToastNotification -Text "小搭子", "文件整理完毕" -Button $button
方式 2：.NET 原生（无需安装，兼容性好）
[Windows.UI.Notifications.ToastNotificationManager, Windows.UI.Notifications, ContentType = WindowsRuntime] | Out-Null
[Windows.Data.Xml.Dom.XmlDocument, Windows.Data.Xml.Dom, ContentType = WindowsRuntime] | Out-Null
$template = @"
<toast>
<visual>
<binding template="ToastGeneric">
<text>小搭子</text>
<text>任务已完成</text>
</binding>
</visual>
</toast>
"@
$xml = New-Object Windows.Data.Xml.Dom.XmlDocument
$xml.LoadXml($template)
$toast = [Windows.UI.Notifications.ToastNotification]::new($xml)
[Windows.UI.Notifications.ToastNotificationManager]::CreateToastNotifier("小搭子").Show($toast)
方式 3：msg 命令（最简单，弹窗式）
msg * "任务已完成 — 小搭子"
使用规范
- 通知标题统一为「小搭子」
- 仅在耗时 > 10 秒的任务完成时、错误警告、定时任务触发时发送
- 同一任务最多 1 次完成通知
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 · 72 lines · 17 tokens per session scan A f94decd778c4
windows-notification is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 17 tokens to every session and 496 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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