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freedompixels

Cn Smart Reply

by freedompixels · GitHub ↗ · v1.2.0 · MIT-0
cross-platform ✓ Security Clean
171
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3
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Install in OpenClaw
/install cn-smart-reply
Description
Smart Reply skill. 自动生成,无人工审查。
README (SKILL.md)

name: 智能回复生成器

description: 微信/邮件/知乎/小红书等场景的智能回复建议,10+种常见社交场景自动生成得体回复。 version: "1.0.0" entry: scripts/smart_reply.py install: ""

scope:

  • 支持10+种回复场景(感谢/道歉/确认/拒绝/催促/安慰/祝贺/请教/介绍/知乎/小红书)
  • 随机抽取多条候选回复
  • 列出所有可用场景
  • 中文社交回复规范

env: [] test: | python3 scripts/smart_reply.py --help python3 scripts/smart_reply.py 感谢 python3 scripts/smart_reply.py 催促 "项目进度"

example: input: "python smart_reply.py 感谢" output: "💬 太感谢了!真的帮了我大忙..." input: "python smart_reply.py 回复知乎" output: "💬 泻药。亲身经历来说..."

Usage Guidance
This skill is a small local script that randomly returns preset Chinese replies; it does not exfiltrate data or require credentials. Note the README says "自动生成,无人工审查" — outputs are auto-generated and unmoderated, so review replies before sending them in sensitive contexts. If you want extra assurance, inspect the short Python file (it contains only a scenario dictionary and print logic) and run it locally rather than exposing it to external services.
Capability Analysis
Type: OpenClaw Skill Name: cn-smart-reply Version: 1.2.0 The skill is a straightforward template-based response generator for social media platforms like WeChat and Zhihu. The core logic in `scripts/smart_reply.py` consists of a static dictionary of canned responses and simple command-line argument handling; it contains no network requests, file system access, or suspicious execution patterns.
Capability Assessment
Purpose & Capability
Name/description promise smart reply generation; the included scripts/smart_reply.py implements exactly that (scenario dictionary + random selection). No unrelated dependencies, binaries, or env vars are requested.
Instruction Scope
SKILL.md points to the bundled Python script and test examples. The runtime instructions only run the script with arguments; the script reads no external files, environment variables, or network endpoints and only prints replies.
Install Mechanism
No install spec — instruction-only with an included Python script. Nothing is downloaded or written to arbitrary locations; risk from install mechanism is minimal.
Credentials
The skill declares no required env vars or credentials and the code does not access secrets, config paths, or external services. Requested environment access is proportional (none).
Persistence & Privilege
Skill has default invocation/persistence settings (not always:true). It does not modify system or other skills' configuration and does not persist credentials.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install cn-smart-reply
  3. After installation, invoke the skill by name or use /cn-smart-reply
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.0
- Updated skill metadata to include a new name ("cn-smart-reply"), version 1.2.0, and emoji. - Added a summary and disclaimer ("自动生成,无人工审查。") in the English description. - Reformatted SKILL.md with markdown frontmatter for improved structure and clarity.
v1.1.0
v1.1.0: 修复SKILL.md格式
v1.0.0
v1.0.0: initial release - generate polite replies for common social scenarios
Metadata
Slug cn-smart-reply
Version 1.2.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 3
Frequently Asked Questions

What is Cn Smart Reply?

Smart Reply skill. 自动生成,无人工审查。 It is an AI Agent Skill for Claude Code / OpenClaw, with 171 downloads so far.

How do I install Cn Smart Reply?

Run "/install cn-smart-reply" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Cn Smart Reply free?

Yes, Cn Smart Reply is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Cn Smart Reply support?

Cn Smart Reply is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Cn Smart Reply?

It is built and maintained by freedompixels (@freedompixels); the current version is v1.2.0.

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