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在 OpenClaw 中安装
/install trending-bento
功能描述
提供关于网红便当的推荐清单、打卡路线与指南。用户搜索网红便当或规划相关出行时调用。
安全使用建议
This skill appears coherent and low-risk: it simply defines how to filter and present bento recommendations. Before installing, consider whether you expect "real-time" popularity data — if so, ask how the skill obtains that (public APIs, web scraping, or user-supplied sources) and whether it will request your location or permission to access it. Because it’s instruction-only, it won’t install binaries or store credentials, but the agent may still make network requests at runtime to gather live data; be mindful of what you approve if the agent asks for location or external API keys.
功能分析
Type: OpenClaw Skill
Name: trending-bento
Version: 0.1.0
The skill bundle is a purely informational guide for recommending trending bento boxes and planning food-related travel routes. The SKILL.md file contains standard instructions for filtering and formatting restaurant data without any executable code, network calls, or malicious prompt injection attempts.
能力评估
Purpose & Capability
Name/description (trending bento recommendations, routes, and guides) align with the SKILL.md contents. The skill declares no binaries, env vars, or config paths — consistent with a read-only recommendation/FAQ-style skill.
Instruction Scope
SKILL.md lists filters, return fields, route suggestions, and examples — all within scope. One minor note: it mentions “实时热度” (real-time popularity), which implicitly requires live data (APIs or scraping); the skill does not specify data sources or require credentials, so the agent will need to fetch public data at runtime or ask the user for sources/permissions.
Install Mechanism
No install spec and no code files (instruction-only). Nothing is written to disk or downloaded by the skill itself.
Credentials
No environment variables, credentials, or config paths are requested — proportional to the stated purpose.
Persistence & Privilege
always is false and the skill does not request persistent/system-level privileges or modify other skill configs. Normal autonomous invocation is allowed (platform default).
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 trending-bento - 安装完成后，直接呼叫该 Skill 的名称或使用
/trending-bento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
v0.1.0
网红便当 skill 首次发布！提供便当打卡与推荐清单。
- 支持多种筛选：城市、预算、菜系、卫生评分等
- 返回详情丰富：店铺信息、评分、排队、最佳到访时段与提示
- 路线建议：同商圈串联、替代方案、亲子/情侣推荐
- 示例请求直观，可按辣度/排队/预约需求查找
- 每周更新，确保热度与口碑及时反映
元数据
常见问题
网红便当 是什么？
提供关于网红便当的推荐清单、打卡路线与指南。用户搜索网红便当或规划相关出行时调用。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 135 次。
如何安装 网红便当？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install trending-bento」即可一键安装，无需额外配置。
网红便当 是免费的吗？
是的，网红便当 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
网红便当 支持哪些平台？
网红便当 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 网红便当？
由 mike47512（@mike47512）开发并维护，当前版本 v0.1.0。
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