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 pomodorogit 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/pomodoro)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/pomodoro"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/pomodoro/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/pomodoro"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/pomodoro.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 | $0.00021 | $0.00663 |
| Opus 5 | $0.00010 | $0.00331 |
| Sonnet 5 | $0.00004 | $0.00133 |
| Haiku 4.5 | $0.00002 | $0.00066 |
Grade A, and why
pomodoro 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
番茄钟
帮助用户使用番茄工作法管理专注时间，追踪每日完成的番茄数和任务进度。
使用场景
- 用户说「开始一个番茄钟」「我要专注 25 分钟」
- 用户说「今天完成了几个番茄」「看看我的专注记录」
- 用户说「帮我用番茄钟写论文」（结合具体任务）
执行方式
数据存储
在用户数据目录维护 ~/Documents/xiaodazi/pomodoro.json：
{
"settings": {
"focus_minutes": 25,
"short_break": 5,
"long_break": 15,
"long_break_after": 4
},
"today": {
"date": "2026-02-26",
"completed": 3,
"total_focus_minutes": 75,
"sessions": [
{"task": "写论文", "start": "09:00", "end": "09:25", "completed": true},
{"task": "写论文", "start": "09:30", "end": "09:55", "completed": true},
{"task": "回邮件", "start": "10:15", "end": "10:40", "completed": true}
]
}
}
核心流程
开始番茄：
用户：开始一个番茄钟，任务是写周报
→ 记录开始时间和任务名
→ 回复：🍅 番茄钟开始！任务：写周报，25 分钟后提醒你休息。
→ 通过 scheduled-tasks 或系统通知在 25 分钟后提醒
番茄完成：
→ 发送通知：🍅 番茄完成！休息 5 分钟吧。
→ 记录完成，更新计数
→ 每 4 个番茄后建议长休息（15 分钟）
查看记录：
用户：今天的番茄钟情况
→ 今日已完成 5 个番茄（125 分钟）
→ 任务分布：写论文 3个 | 回邮件 1个 | 代码审查 1个
通知方式
根据平台调用对应的通知 skill：
- macOS →
macos-notification - Windows →
windows-notification - Linux →
linux-notification
输出规范
- 开始时简洁确认，不打断用户思路
- 完成时给予正面反馈 + 休息建议
- 日报使用表格展示任务分布
- 鼓励但不施压，中断番茄时不批评
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 · 86 lines · 21 tokens per session scan A 96e92205d331
pomodoro is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 21 tokens to every session and 663 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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