← 返回 Skills 市场
智能邮件分类助手
作者
freedompixels
· GitHub ↗
· v1.0.1
· MIT-0
157
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install cn-smart-email
功能描述
邮件分类与回复助手。基于规则分类邮件,提供回复模板。
使用说明 (SKILL.md)
邮件分类与回复助手
分类邮件并提供回复模板。
功能
- 邮件分类(工作/个人/通知/广告)
- 回复模板生成
- 中文邮件场景支持
用法
python3 scripts/smart_email.py --classify "邮件内容"
python3 scripts/smart_email.py --reply "邮件内容" --tone formal
依赖
- Python 3.7+
- requests
安全使用建议
This skill appears to do what it says: local keyword-based classification and reply template generation, with no network activity or credential use. Before installing: (1) Note the SKILL.md suggests passing full email text on the command line — that can leak to other local users via process listings; avoid passing highly sensitive content as argv (use stdin or temporary files instead). (2) The README lists the 'requests' package but the script doesn't use it — review the code when updating versions to ensure no hidden network calls are added. (3) If you need stronger or privacy-preserving classification, consider running only on trusted hosts or adapting the script to read from files/stdin and to securely erase temporary files.
功能分析
Type: OpenClaw Skill
Name: cn-smart-email
Version: 1.0.1
The skill is a straightforward email classification and reply assistant that uses local keyword matching. The script (scripts/smart_email.py) performs simple string processing without any network requests, file system access, or execution of external commands. While SKILL.md lists 'requests' as a dependency, it is not imported or used in the code, and no malicious indicators or prompt injection attempts were found.
能力评估
Purpose & Capability
The name/description (email classification and reply templates) align with the provided Python script: keyword-based classification and template reply generation. No unrelated credentials, binaries, or external services are requested.
Instruction Scope
SKILL.md instructs running the included script with the email text as a command-line argument (python3 scripts/smart_email.py --classify "邮件内容"). That stays within the skill's purpose, but passing sensitive email contents on the command line can expose them to other local users via process listings or system logs; consider using stdin or a temporary file instead.
Install Mechanism
No install spec (instruction-only plus an included script) — low risk. SKILL.md lists 'requests' as a dependency though the shipped script does not import or use requests, indicating a documentation mismatch or leftover requirement.
Credentials
The skill requests no environment variables, credentials, or config paths. The script performs only local text processing and prints results; there are no network calls or secret accesses in the code.
Persistence & Privilege
always is false and the skill does not request persistent system presence or modify other skills/configs. It does not store tokens or alter agent/system settings.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install cn-smart-email - 安装完成后,直接呼叫该 Skill 的名称或使用
/cn-smart-email触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.1
- Added initial implementation script: scripts/smart_email.py.
- Updated documentation for simplified usage, clearer features, and example commands.
- Now supports command-line email classification and reply template generation.
- Added dependency information (Python 3.7+, requests).
v1.0.0
初始版本
元数据
常见问题
智能邮件分类助手 是什么?
邮件分类与回复助手。基于规则分类邮件,提供回复模板。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 157 次。
如何安装 智能邮件分类助手?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install cn-smart-email」即可一键安装,无需额外配置。
智能邮件分类助手 是免费的吗?
是的,智能邮件分类助手 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
智能邮件分类助手 支持哪些平台?
智能邮件分类助手 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 智能邮件分类助手?
由 freedompixels(@freedompixels)开发并维护,当前版本 v1.0.1。
推荐 Skills