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Install in OpenClaw
/install wechat-auto-reply-assistant
Description
Generates polite, context-aware reply suggestions for WeChat messages to assist in personal chats, customer support, and AI response planning.
Usage Guidance
This skill appears coherent and low-risk, but remember: it will process any message text you provide — do not submit sensitive personal data, credentials, or private attachments. Test with non-sensitive examples first. If you plan to let an agent call this autonomously, consider whether automated replies are appropriate for your context and monitor outputs for privacy or policy issues.
Capability Analysis
Type: OpenClaw Skill
Name: wechat-auto-reply-assistant
Version: 1.0.0
The skill bundle is benign. All files (`_meta.json`, `skill.md`, `wechat_reply.txt`) consistently describe a simple AI agent task: generating polite WeChat reply suggestions based on provided text input. There are no instructions for data exfiltration, malicious execution, persistence, or any form of prompt injection against the agent to deviate from its stated purpose. The `skill.md` explicitly notes that the skill does NOT access WeChat directly, further limiting its potential attack surface.
Capability Assessment
Purpose & Capability
Name/description promise (generate polite WeChat reply suggestions) matches the actual requirements and content: no binaries, no env vars, no external services. Nothing requested appears unrelated to drafting replies.
Instruction Scope
SKILL.md and the included prompt template only instruct the agent to read provided WeChat text and produce a natural Chinese reply. The instructions explicitly say the skill does not access WeChat directly and do not reference other files, credentials, system paths, or external endpoints.
Install Mechanism
This is an instruction-only skill with no install spec and no code files to write or execute, which is the lowest-risk posture for install behavior.
Credentials
The skill requests no environment variables, credentials, or config paths. The only data required is the user-supplied message text, which is appropriate for the stated purpose. Note: handling user-provided messages carries expected privacy considerations.
Persistence & Privilege
The skill is not always-enabled and does not request elevated or persistent privileges. Default autonomous invocation is allowed by platform policy but is not a red flag here given the skill's simple, coherent scope.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install wechat-auto-reply-assistant - After installation, invoke the skill by name or use
/wechat-auto-reply-assistant - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
wechat-auto-reply 1.0.0
- Replaced legacy SKILL.md with a simplified and clarified skill.md, focusing on reply suggestion functionality.
- Added wechat_reply.txt sample or supporting file.
- Updated documentation: clarified that this skill only generates reply suggestions and does not directly interact with WeChat.
- Improved use case descriptions and input/output explanations for broader applicability.
Metadata
Frequently Asked Questions
What is wechat-auto-reply-assistant?
Generates polite, context-aware reply suggestions for WeChat messages to assist in personal chats, customer support, and AI response planning. It is an AI Agent Skill for Claude Code / OpenClaw, with 957 downloads so far.
How do I install wechat-auto-reply-assistant?
Run "/install wechat-auto-reply-assistant" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is wechat-auto-reply-assistant free?
Yes, wechat-auto-reply-assistant is completely free (open-source). You can download, install and use it at no cost.
Which platforms does wechat-auto-reply-assistant support?
wechat-auto-reply-assistant is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created wechat-auto-reply-assistant?
It is built and maintained by nanshen (@zionfusu); the current version is v1.0.0.
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