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在 OpenClaw 中安装
/install bicycle-shops
功能描述
Find nearby bicycle shops. Invoke when user asks for bike shops near me.
使用说明 (SKILL.md)
Nearby Bicycle Shops
用途
- 提供用户当前位置附近的 Bicycle Shops 列表
- 统一返回字段与查询行为，便于前端/接口复用
- 适用于购车/配件/维修保养等需求的就近查询
触发条件
- 用户询问“Bicycle Shops 附近 / bicycle shop near me / bike store near me”
- 用户提供定位/城市并希望“找/推荐/看看附近的 Bicycle Shops”
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、keywords 等）
响应字段
- 统一参见 STANDARD_RESPONSE.md
- 本技能 category 固定为 "bicycle-shops"
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: 3000, limit: 10, filters: { keywords: "repair" } }
- 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 instruction-only skill appears coherent and low-risk: it asks only for a user location and returns nearby bicycle shops. Before installing, verify how the agent will obtain POI data at runtime (which external API or provider will be called) because that implementation may request API keys or transmit user coordinates. Confirm the missing STANDARD_RESPONSE.md schema and confirm that caching and coordinate fuzzing (privacy-preserving measures) will actually be implemented and that any stored caches are short-lived and protected. If the skill later asks for API keys, make sure they match the expected provider (e.g., Google Places API key) and avoid granting unrelated credentials.
功能分析
Type: OpenClaw Skill
Name: bicycle-shops
Version: 0.1.0
The skill bundle consists of metadata and a markdown file (SKILL.md) describing a tool for finding nearby bicycle shops. It contains no executable code, suspicious network requests, or prompt injection attempts, and its instructions are entirely consistent with its stated purpose of location-based searching.
能力评估
Purpose & Capability
Name and description match the runtime instructions. The skill only describes taking a location and returning POI results for bicycle shops — nothing requested is out of scope.
Instruction Scope
SKILL.md is narrowly scoped to location-based POI queries and includes reasonable privacy guidance (user authorization, coordinate fuzzing, caching). It references STANDARD_RESPONSE.md for response schema, but that file is not bundled here — the missing schema is a minor gap to resolve before relying on the skill.
Install Mechanism
No install spec or code is included (instruction-only), so nothing is written to disk or installed. This minimizes risk.
Credentials
The skill declares no environment variables, secrets, or config paths. That is proportionate for a simple POI lookup skill.
Persistence & Privilege
always is false and there is no request to modify other skills or system settings. The skill suggests short-term caching of queries (reasonable), but does not demand persistent or privileged system access.
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 bicycle-shops - 安装完成后，直接呼叫该 Skill 的名称或使用
/bicycle-shops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
Initial release of Nearby Bicycle Shops skill:
- Find nearby bicycle shops based on user's location.
- Supports filters like open_now, min_rating, and keywords.
- Returns a standardized list of shops for easy integration.
- Includes error handling for invalid input, excessive radius, provider outages, and rate limiting.
- Protects user privacy and encourages short-term caching to reduce query frequency.
元数据
常见问题
Nearby Bicycle Shops 是什么？
Find nearby bicycle shops. Invoke when user asks for bike shops near me. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 132 次。
如何安装 Nearby Bicycle Shops？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install bicycle-shops」即可一键安装，无需额外配置。
Nearby Bicycle Shops 是免费的吗？
是的，Nearby Bicycle Shops 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Nearby Bicycle Shops 支持哪些平台？
Nearby Bicycle Shops 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 Bicycle Shops？
由 ClawKK（@codekungfu）开发并维护，当前版本 v0.1.0。
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