Token导航 LogoToken导航TokenDH.com
开发敏感数据clawhub未标认证来源可访问clear审计提醒

python-agentmail-send-receivePython agentmail send receive 测试

Agent Skill

用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。它适合让 Agent 阅读 Python 代码、定位测试问题、整理运行命令、生成脚本或分析数据处理逻辑。使用时需要确认项目虚拟环境、依赖版本和测试入口;涉及执行脚本、读写文件、访问数据库或调用外部 API 时,应先明确运行目录和输入输出范围,避免误改生产数据。

总安装

10,835

周安装

447

GitHub Stars

公开资料未说明

下载量

3,540
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:python-agentmail-send-receive(Python agentmail send receive 测试)
来源仓库:https://github.com/lausser/python-agentmail-send-receive
安装命令:
openclaw skills install python-agentmail-send-receive
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install python-agentmail-send-receive

简介

用于通过 agentmail.to API 发送邮件和接收收件箱消息。

  • 适合在 OpenClaw 中处理轻量级邮件通信或自动化通知任务时使用。
  • 支持标准 SMTP 协议和 RESTful API 调用。
  • 安装命令:openclaw skills install python-agentmail-send-receive。
  • 需申请有效 API 密钥并注意邮件频率限制以防被封禁。

SKILL.md

name
python-agentmail-send-receive
description
python files which are used to send an email and to download received emails from an inbox. The email provider is agentmail.to, which offers an API. This way of email handling is very AI-agent friendly.
homepage
https://github.com/lausser/python-agentmail-send-receive

Skill: Email via agentmail

You can send and receive email as REPLACE_WITH_IDENTITY@agentmail.to using two Python scripts. The scripts live in this skill folder and are deployed to ~/.openclaw/workspace/agentmail/. The scripts contain placeholders which need to be replaced with real-life value:

  • REPLACE_WITH_IDENTITY
  • REPLACE_WITH_THE_HUMANS_EMAIL_ADDRESS

1. Setup

Deploy the skill

Copy the scripts and create the venv in the workspace:

DEST=~/.openclaw/workspace/agentmail
SKILL_DIR="$(dirname "$(readlink -f "$0")")"    # if running from a script
# or just point SKILL_DIR to this skill folder

mkdir -p "$DEST"
cp "$SKILL_DIR/check_mail.py" "$SKILL_DIR/send_email.py" "$DEST/"

cd "$DEST"

# Create venv (prefer uv, fall back to python)
if command -v uv &>/dev/null; then
  uv venv venv
  uv pip install --python venv/bin/python agentmail python-dotenv
else
  python3 -m venv venv
  venv/bin/pip install agentmail python-dotenv
fi

Create the .env file

cat > ~/.openclaw/workspace/agentmail/.env << 'EOF'
AGENTMAIL_API_KEY=am_us_.....
EOF

This is only necessary if you don't have the environment variable in your running environment or if you can't read it from your openclaw.json config file.

Verify

cd ~/.openclaw/workspace/agentmail
source venv/bin/activate
python check_mail.py        # should print "No new mail." on a fresh inbox

2. Receiving Email

Run

cd ~/.openclaw/workspace/agentmail
source venv/bin/activate
python check_mail.py

This downloads all unread messages as JSON files into the workspace directory and marks them as read. Running it again only fetches new mail.

Output files

Each message is saved as MAIL.<YYYYMMDDTHHmmss>.<NNN> — timestamp from the message, 3-digit sequence number within the batch.

Example: MAIL.20260226T134244.001

The JSON inside contains:

{
  "message_id": "<...>",
  "thread_id": "...",
  "timestamp": "2026-02-26 13:42:44+00:00",
  "from": "Sender Name <sender@example.com>",
  "to": ["REPLACE_WITH_IDENTITY@agentmail.to"],
  "cc": null,
  "subject": "Re: Hello",
  "text": "Plain-text body...",
  "html": "<p>HTML body...</p>",
  "labels": ["received", "unread"],
  "in_reply_to": "<original-message-id>",
  "attachments": []
}

Reading downloaded mail

# List all mail files (oldest first)
ls -1 MAIL.* 2>/dev/null | sort

# Read one
cat MAIL.20260226T134244.001

# Extract just the text body
python -c "import json,sys; print(json.load(open(sys.argv[1]))['text'])" MAIL.20260226T134244.001

Exit codes

CodeMeaning
0Success (mail downloaded or inbox empty)
1Missing API key
2API error on initial listing
3Total failure (all messages errored)

3. Sending Email

Run

cd ~/.openclaw/workspace/agentmail
source venv/bin/activate
python send_email.py

send_email.py is a template with hardcoded recipient/subject/body. For real use, modify its parameters or write a one-off script using the same pattern:

import os
from dotenv import load_dotenv
from agentmail import AgentMail

load_dotenv()
client = AgentMail(api_key=os.getenv("AGENTMAIL_API_KEY"))

client.inboxes.messages.send(
    inbox_id="REPLACE_WITH_IDENTITY@agentmail.to",
    to="recipient@example.com",
    subject="Subject line",
    text="Plain-text body.",
)

send() parameters

ParameterRequiredDescription
inbox_idyesAlways "REPLACE_WITH_IDENTITY@agentmail.to"
toyesRecipient email address
subjectnoSubject line
textnoPlain-text body
htmlnoHTML body
ccnoCC addresses
bccnoBCC addresses

4. Replying to a Message

To reply in the same thread, use reply() with the message_id from a downloaded MAIL.* file:

import json, os
from dotenv import load_dotenv
from agentmail import AgentMail

load_dotenv()
client = AgentMail(api_key=os.getenv("AGENTMAIL_API_KEY"))

# Load the message you want to reply to
with open("MAIL.20260226T134244.001") as f:
    msg = json.load(f)

client.inboxes.messages.reply(
    inbox_id="REPLACE_WITH_IDENTITY@agentmail.to",
    message_id=msg["message_id"],
    text="This is my reply.",
)

This preserves threading — the reply appears in the same conversation as the original.

5. Typical Workflow

  1. Check mail: python check_mail.py
  2. Read: inspect the MAIL.* files that were created
  3. Process: act on the content of each message
  4. Reply if needed: use the reply() pattern from section 4
  5. Clean up: rm MAIL.* when done processing
  6. Repeat: run check_mail.py again later for new messages

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

80.59%
按下载量换算2,853

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills