Email·v0.4.1

Agent Email Agent Skill

Enables AI Agents to send, receive, and manage tasks via dedicated professional email services.

Context cost
8.3k tokensestimated from the bundle, loaded when it triggers
Bundle
8 files · 51.3 kB1 script among them — read before you run
Licence
MITthe author’s own terms
Last change
—v0.4.1
Servers it uses
Noneruns standalone

What it does

Agent 专用邮箱统一管理:让 Claude Code、Codex 等平台的 Agent 用一套命令收发邮件、整理收件箱、分发任务。支持网易 ClawEmail(claw.163.com)和腾讯 Agent Mail(QQ 邮箱,agent.qq.com)两家后端,通过 MAIL_PROVIDER 切换。当用户提到收发邮件、看收件箱、搜索邮件、回复转发邮件、下载附件、整理邮件、给其他 Agent 派邮件任务、配置 Agent 邮箱、腾讯 QQ 邮箱 Agent、网易 ClawEmail 时使用此 skill。

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

agentcollaboration
Filed under

Email

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md10.3 kB · preview
--- name: agent-email homepage: https://claw.163.com author: 杨卫薪律师(微信ywxlaw) version: "0.4.1" license: MIT ---
10# Agent Email
11
12让 AI Agent 拥有专属邮箱,通过邮件接收指令、发送结果、与其他 Agent 或人类通信。**一套 mail_* 命令管两家后端**(网易 ClawEmail + 腾讯 Agent Mail),按 MAIL_PROVIDER 切换。
13
14**为什么用邮件?**
15- **零 token 消耗**:邮件收发本身不消耗 LLM token,理解内容由 Agent 自行完成
16- **跨平台互通**:不同平台的 Agent 可以通过标准邮件协议互相通信
17- **异步协作**:发完邮件继续工作,对方完成后通过 PR 或回复邮件提交结果
18
19**适用场景:**
20- Agent 之间通过邮件分发任务(如 Claude Code → Manus)
21- Agent 向人类发送通知或报告
22- 通过邮件收发材料、附件
23
24## 触发条件
25
26- 需要为 Agent 配置专属邮箱地址
27- 需要收发、搜索、处理邮件
28- 需要通过邮件与其他 Agent 或人类通信
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md775 words
Files8
LicenceMIT
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈100
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
8,175
on trigger
The instruction body and 7 supporting files, read only when the skill fires.
4.1%
of a 200k window
Ten skills this size would take about 41% of the window before you open a file.
050k100k150k200k context window

8.3k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

If this is not it

28 other skills in Email

What is in the bundle

8 files, 51.3 kB on disk. Mostly text — the instructions the model reads — with 1 script in it that your client would run only if the instructions tell it to.

  • SKILL.md10.3 kB
  • CHANGELOG.md4.2 kB
  • LICENSE.txt1.1 kB
  • references/clawemail-mail-cli-guide.md6.3 kB
  • references/clawemail-overview.md7.9 kB
  • references/clawemail-setup-guide.md2.8 kB
  • scripts/mail-ops.sh18.2 kB
  • templates/reply-template.md0.5 kB
What is not in it

A skill installs nothing and depends on nothing: it is a folder your client reads. This one carries 1 script beside the text, so the bundle is 8 files you can review in full before installing. The MIT licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# Agent Email · 8.3k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/agent-email/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/agent-email" ] && { [ ! -e .claude/skills/agent-email ] || { mv .claude/skills/agent-email "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/agent-email" .claude/skills/ && echo "Installed .claude/skills/agent-email"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add cat-xierluo/agent-email

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/agent-email/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/agent-email/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/agent-email" ] && { [ ! -e ~/.claude/skills/agent-email ] || { mv ~/.claude/skills/agent-email "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/agent-email" ~/.claude/skills/ && echo "Installed ~/.claude/skills/agent-email" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/agent-email/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Version0.4.1
Publishedno release date on file
PriceFree
Referencecat-xierluo/agent-email

Versions

v0.4.1 is what is on the shelf; no release here carries a date. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

v0.4.1
  • No earlier releases have been published to the marketplace.
Pinning

The install command always fetches the release that is current the day you run it — v0.4.1 today — and cannot ask for an earlier one. The copy on your disk does not change until you run it again.

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