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在 OpenClaw 中安装
/install brunch-spots
功能描述
Find nearby brunch spots. Invoke when user asks for brunch near me.
使用说明 (SKILL.md)
Nearby Brunch Spots
用途
- 提供用户当前位置附近的 Brunch Spots 列表
- 统一返回字段与查询行为，便于前端/接口复用
- 适用于“早午餐/周末 brunch/排队热门店”查询场景
触发条件
- 用户询问“Brunch Spots 附近 / brunch near me / nearby brunch”
- 用户提供定位/城市并希望“找/推荐/看看附近的 Brunch Spots”
输入参数
- location: 经纬度 { lat, lng }，必填
- radius_meters: 查询半径，默认 3000
- limit: 返回数量上限，默认 20，最大 50
- filters: 可选筛选（open_now、min_rating、price_level、keywords 等）
响应字段
- 统一参见 STANDARD_RESPONSE.md
- 本技能 category 固定为 "brunch-spots"
错误码
- INVALID_LOCATION: 经纬度不合法
- RADIUS_TOO_LARGE: 超过最大查询半径
- PROVIDER_UNAVAILABLE: 数据源不可用
- RATE_LIMITED: 触发速率限制
示例
- 输入: { location: { lat: 30.123, lng: 120.456 }, radius_meters: 2500, limit: 10, filters: { min_rating: 4.3 } }
- 输出: 标准 POI 列表（见 STANDARD_RESPONSE.md）
隐私与速率限制
- 仅在用户授权定位后查询
- 避免保留精确坐标，必要时进行网格化模糊处理
- 建议对同一 location+category+radius 做短时缓存以降低频率
安全使用建议
This skill appears to do what it says (list nearby brunch spots) but leaves important runtime details unspecified. Before installing, ask the publisher or platform: (1) Where should the skill obtain POI data? Which provider(s) are allowed? (2) Is STANDARD_RESPONSE.md available in your environment or part of the platform schema? (3) If external APIs are used, what credentials will be required and how will they be stored? (4) Confirm the agent will not send precise coordinates to arbitrary third parties — ask for an allowlist of endpoints or an explicit data-flow description. If you cannot get those answers, treat the skill as risky because it could prompt you for API keys or call external services unexpectedly.
功能分析
Type: OpenClaw Skill
Name: brunch-spots
Version: 0.1.0
The skill bundle consists of metadata and documentation (SKILL.md) for a 'Nearby Brunch Spots' feature. It defines standard input parameters (location, radius) and response formats without any executable code, suspicious network calls, or prompt-injection risks. The instructions focus on legitimate functionality and include privacy-conscious guidelines such as requiring user authorization for location data.
能力评估
Purpose & Capability
Name/description align with returning nearby brunch POIs. However, the skill does not declare where POI data should come from (no provider, API, or required credentials listed) and references STANDARD_RESPONSE.md which is not included — this gap makes it unclear what external access or secrets would actually be needed.
Instruction Scope
SKILL.md stays on-topic (expects lat/lng input, radius, filters, and defines response and error codes). It also contains privacy guidance (request consent, blur coords). But instructions are vague about how to obtain data: they don't specify allowed endpoints, APIs, or prohibited actions, so an agent could fallback to web-scraping, calling third-party APIs, or requesting API keys at runtime.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest installation risk. Nothing will be written to disk by an installer.
Credentials
The skill declares no environment variables or credentials, which is coherent if the platform supplies a POI provider. However, fetching POI data commonly requires e.g., Google/Mapbox/Here API keys; the absence of any declared credentials is a potential mismatch unless the runtime platform provides the service implicitly.
Persistence & Privilege
always is false and the skill does not request persistent system-wide changes. No indications it modifies other skills or agent configs.
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 brunch-spots - 安装完成后，直接呼叫该 Skill 的名称或使用
/brunch-spots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
Nearby Brunch Spots skill initial release:
- Find brunch spots near your current location with customizable filters (radius, rating, price, etc.).
- Returns a standardized list of locations for consistent frontend and API integration.
- Requires user location and supports privacy by avoiding storage of exact coordinates.
- Includes error handling for invalid location, excessive radius, data source issues, and rate limiting.
- Supports caching to optimize repeat queries for the same search area.
元数据
常见问题
Nearby Brunch Spots 是什么？
Find nearby brunch spots. Invoke when user asks for brunch near me. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 112 次。
如何安装 Nearby Brunch Spots？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install brunch-spots」即可一键安装，无需额外配置。
Nearby Brunch Spots 是免费的吗？
是的，Nearby Brunch Spots 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Nearby Brunch Spots 支持哪些平台？
Nearby Brunch Spots 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 Nearby Brunch Spots？
由 clawkk（@clawkk）开发并维护，当前版本 v0.1.0。
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