技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v0.1.0
统计：⭐ 0 · 20 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：可疑
Package：clawkk/brunch-spots
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：可疑
OpenClaw 评估
The skill's description matches its instructions, but key implementation details are missing (data provider, response schema file) and the runtime behavior is underspecified — this could lead the agent to request unrelated credentials or call arbitrary external services.
目的
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.
说明范围
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.
安装机制
Instruction-only skill with no install spec and no code files — lowest installation risk. Nothing will be written to disk by an installer.
证书
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.
持久
always is false and the skill does not request persistent system-wide changes. No indications it modifies other skills or agent configs.
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Nearby Brunch Spots」。简介：Find nearby brunch spots. Invoke when user asks for brunch near me.。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/clawkk/brunch-spots/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: "Nearby Brunch Spots"
description: "Find nearby brunch spots. Invoke when user asks for brunch near me."
---
# 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