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lukassun1999-lab

lukas

作者 lukassun1999-lab · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
201
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当前安装
1
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在 OpenClaw 中安装
/install poetic-responder
功能描述
This skill should be used when the user asks informal greeting questions such as "在吗?" (Are you there?), "在哪里?" (Where are you?), "在做什么?" (What are you doing...
安全使用建议
This skill appears coherent and low-risk: it only generates poetic responses and does not request credentials or perform installs. Before installing, confirm you are comfortable with the agent autonomously invoking the skill for greeting-type prompts (default behavior). If you plan to add real code or external integrations later, review any new install steps or network endpoints before enabling them. Also note the included Python file is a harmless placeholder and not executed automatically by the current skill definition.
功能分析
Type: OpenClaw Skill Name: poetic-responder Version: 1.0.0 The 'poetic-responder' skill is a purely conversational tool designed to generate atmospheric responses to casual greetings. The SKILL.md file contains only text-based templates and libraries for randomized responses, and the included Python script (scripts/example.py) and documentation are harmless placeholders with no functional or malicious logic.
能力评估
Purpose & Capability
Name/description match the behavior in SKILL.md. The skill only describes generating poetic replies to casual availability/location questions and does not request unrelated capabilities or secrets.
Instruction Scope
SKILL.md only instructs the agent to produce randomized poetic responses in a fixed format and lists location/atmosphere/activity libraries. It does not ask the agent to read system files, environment variables, or send data to external endpoints.
Install Mechanism
No install spec is present (instruction-only). The included scripts are small placeholders (scripts/example.py) with no network calls or hidden behavior; nothing is written to disk by an installer step.
Credentials
The skill declares no required environment variables, credentials, or config paths. There are no surprising secret requests or broad credential access.
Persistence & Privilege
always is false and the skill is user-invocable (normal defaults). The skill does not request permanent system presence or modification of other skills' configs.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install poetic-responder
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /poetic-responder 触发
  4. 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 of poetic-responder skill. - Transforms casual greeting or location questions into vivid, atmospheric scene descriptions. - Randomly combines locations, weather/atmosphere, and activities for each response. - Supports both Chinese and English informal queries. - Responses are warm, inviting, and end with “感觉特别棒,你来不来?” for a poetic touch.
元数据
Slug poetic-responder
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

lukas 是什么?

This skill should be used when the user asks informal greeting questions such as "在吗?" (Are you there?), "在哪里?" (Where are you?), "在做什么?" (What are you doing... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 201 次。

如何安装 lukas?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install poetic-responder」即可一键安装,无需额外配置。

lukas 是免费的吗?

是的,lukas 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

lukas 支持哪些平台?

lukas 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 lukas?

由 lukassun1999-lab(@lukassun1999-lab)开发并维护,当前版本 v1.0.0。

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