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智能邮件分类助手
by
freedompixels
· GitHub ↗
· v1.0.1
· MIT-0
157
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Install in OpenClaw
/install cn-smart-email
Description
邮件分类与回复助手。基于规则分类邮件,提供回复模板。
README (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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install cn-smart-email - After installation, invoke the skill by name or use
/cn-smart-email - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is 智能邮件分类助手?
邮件分类与回复助手。基于规则分类邮件,提供回复模板。 It is an AI Agent Skill for Claude Code / OpenClaw, with 157 downloads so far.
How do I install 智能邮件分类助手?
Run "/install cn-smart-email" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 智能邮件分类助手 free?
Yes, 智能邮件分类助手 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 智能邮件分类助手 support?
智能邮件分类助手 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 智能邮件分类助手?
It is built and maintained by freedompixels (@freedompixels); the current version is v1.0.1.
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