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 smart-email-assistantgit 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/smart-email-assistant)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/smart-email-assistant"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/smart-email-assistant/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/smart-email-assistant"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/smart-email-assistant.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 | $0.00028 | $0.00703 |
| Opus 5 | $0.00014 | $0.00351 |
| Sonnet 5 | $0.00006 | $0.00141 |
| Haiku 4.5 | $0.00003 | $0.00070 |
Grade A, and why
smart-email-assistant 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
智能邮件助手
帮助用户高效管理邮件：起草回复、分类优先级、摘要收件箱、撰写专业邮件。
使用场景
- 用户说「帮我回复这封邮件」「起草一封正式的商务邮件」
- 用户说「帮我看看收件箱有什么重要的」「总结一下未读邮件」
- 用户说「写一封拒绝的邮件，但要委婉」「follow up 邮件」
执行方式
直接使用 LLM 能力生成邮件内容。如用户配置了邮件工具（himalaya / outlook-cli），可直接操作收发。
邮件类型模板
商务正式邮件
Subject: [简洁明确的主题]
Dear [Name],
[开头: 说明写信目的，1-2 句]
[正文: 核心内容，分段清晰]
[结尾: 期望的下一步行动]
Best regards,
[Name]
跟进邮件 (Follow-up)
Subject: Following up: [原始主题]
Hi [Name],
I wanted to follow up on [之前的事项].
[简要回顾上下文]
[明确的下一步请求]
Thanks,
[Name]
委婉拒绝
Subject: Re: [原始主题]
Hi [Name],
Thank you for [对方的提议/请求].
[表示理解和认可]
Unfortunately, [给出拒绝理由].
[如果可能，提供替代方案]
I appreciate your understanding.
Best,
[Name]
感谢邮件
Subject: Thank you for [具体事项]
Dear [Name],
[具体感谢内容]
[说明影响/价值]
[展望未来合作]
Warm regards,
[Name]
邮件优先级分类
当用户要求整理收件箱时，按以下维度分类：
| 优先级 | 特征 | 建议行动 |
|---|---|---|
| Urgent | 截止日期临近、上级/客户来信 | 立即回复 |
| Important | 项目相关、需要决策 | 当天处理 |
| Normal | 信息通知、常规沟通 | 有空处理 |
| Low | 营销邮件、订阅通讯 | 批量处理或忽略 |
语气适配
根据场景自动调整语气：
- 上级/客户: 正式、尊重、简洁
- 同事: 半正式、友好、直接
- 下属/团队: 清晰、鼓励、有条理
- 外部合作: 专业、礼貌、明确边界
输出规范
- 邮件包含 Subject + Body 完整格式
- 标注语气等级（formal / semi-formal / casual）
- 如涉及敏感内容，提醒用户检查后再发送
- 多封邮件时用分隔线区分
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 · 126 lines · 28 tokens per session scan A a731f417baa2
smart-email-assistant is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 28 tokens to every session and 703 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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