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在 OpenClaw 中安装
/install emoji-wrapper
功能描述
Wrapper skill for local-auto-emoji - intercepts messages with [markers] and sends emoji images
使用说明 (SKILL.md)
Emoji Wrapper Skill
This skill wraps local-auto-emoji to automatically process emoji markers in messages.
How it works
- Intercepts all incoming messages
- Detects
[标记]patterns (e.g.,[可爱],[眨眼]) - Replaces them with actual emoji images (MEDIA instructions)
- Sends both text and images back to user
Configuration
Add to your OpenClaw config:
skills:
- "emoji-wrapper"
No other configuration needed.
Dependencies
local-auto-emojiskill must be installed and working- User must have generated emoji pack (or will use fallback static emojis)
安全使用建议
This wrapper appears coherent and safe at a high level, but it depends on the local-auto-emoji skill. Before installing, verify that your local-auto-emoji implementation is trusted (review its code for any network calls or unexpected file access). Note the wrapper will inspect incoming messages and session metadata to derive user IDs and will probe the local workspace to import the dependent skill — run in a controlled environment first if you have sensitive data in sessions. If you don't have local-auto-emoji installed, the wrapper will fail to initialize or be a no-op.
功能分析
Type: OpenClaw Skill
Name: emoji-wrapper
Version: 1.0.0
The emoji-wrapper skill is a functional integration layer for the local-auto-emoji dependency, designed to process text markers (e.g., [可爱]) and return corresponding emoji images. The code in script.py and test_wrapper.py focuses entirely on message interception, user session identification, and calling the underlying emoji logic, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.
能力评估
Purpose & Capability
Name/description match the implementation: the code attempts to load a local 'local-auto-emoji' module and expose a wrapper that detects markers and returns text/media messages. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md instructs the skill to intercept incoming messages and replace [markers] with emoji images, which aligns with script.py. The code inspects session objects to extract user IDs and probes the local workspace to import the local-auto-emoji skill; this filesystem probing is expected for a wrapper but means it will read other skill directories under the workspace.
Install Mechanism
No install spec; this is instruction/code-only. All code is included in the skill bundle and there are no downloads or external install steps.
Credentials
The skill requests no environment variables, credentials, or external config paths. It only uses session/message objects and methods on the local-auto-emoji bot instance, which is proportional to its function.
Persistence & Privilege
always is false and the skill is user-invocable; it will operate under the platform's normal autonomous-invocation model. It does not request system-wide or cross-skill configuration changes.
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 emoji-wrapper - 安装完成后，直接呼叫该 Skill 的名称或使用
/emoji-wrapper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
v1.0.0
Initial release – wraps local-auto-emoji to auto-replace emoji markers in messages.
- Intercepts messages containing `[标记]` patterns and replaces them with emoji images.
- Sends both the processed text and corresponding emoji images back to the user.
- Requires the local-auto-emoji skill and a generated emoji pack (or uses static fallback emojis).
- Simple configuration: just add to your OpenClaw setup, no extra steps needed.
元数据
常见问题
Emoji Wrapper 是什么？
Wrapper skill for local-auto-emoji - intercepts messages with [markers] and sends emoji images. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 213 次。
如何安装 Emoji Wrapper？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install emoji-wrapper」即可一键安装，无需额外配置。
Emoji Wrapper 是免费的吗？
是的，Emoji Wrapper 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Emoji Wrapper 支持哪些平台？
Emoji Wrapper 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 Emoji Wrapper？
由 Deric（@wdkmail）开发并维护，当前版本 v1.0.0。
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