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cafes
作者
mikeclaw007
· GitHub ↗
· v0.1.0
· MIT-0
203
总下载
0
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当前安装
1
版本数
在 OpenClaw 中安装
/install cafes
功能描述
Find nearby cafes. Invoke when user asks for coffee near me.
使用说明 (SKILL.md)
Nearby Cafes
用途
- 提供用户当前位置附近的 Cafes 列表
- 统一返回字段与查询行为,便于前端/接口复用
触发条件
- 用户询问“咖啡 附近 / cafes near me / nearby coffee”
输入参数
- location: 经纬度 { lat, lng },必填
- radius_meters: 查询半径,默认 2000
- limit: 返回数量上限,默认 20,最大 50
- filters: 可选筛选(是否连锁、评分、是否有座位等)
响应字段
- 统一参见 STANDARD_RESPONSE.md
- 本技能 category 固定为 "cafes"
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: 2000, limit: 10 }
- 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
安全使用建议
This skill appears to do what it says, but it omits key operational details. Before installing or enabling it: 1) ask the author which data provider(s) it queries (Google, Foursquare, OSM, internal index) and whether any API keys are required; 2) verify the STANDARD_RESPONSE.md schema referenced by the skill (the SKILL.md points to a local file:// path that was not included); 3) confirm how precise location data is handled, stored, or logged—ensure the blur/grid guidance is actually implemented and that precise coordinates are not retained or exfiltrated; 4) if the skill will call external APIs, request a list of endpoints and whether any credentials will be sent; and 5) if you cannot obtain those answers, treat the skill cautiously (do not provide precise location data) or decline to install. Additional evidence that would reduce concerns: included STANDARD_RESPONSE.md, explicit provider + endpoint details, or an implementation that uses only built-in platform POI services without needing extra credentials.
功能分析
Type: OpenClaw Skill
Name: cafes
Version: 0.1.0
The skill bundle is a straightforward tool for finding nearby cafes based on user-provided location data. The instructions in SKILL.md are well-defined, focus on a specific utility, and include privacy considerations such as coordinate blurring. While SKILL.md contains a hardcoded local file path (file:///Users/mac_lkm/...), this is a developer configuration error rather than a security threat.
能力评估
Purpose & Capability
Name/description, inputs (lat/lng, radius, filters) and outputs align with a 'nearby cafes' skill. However, the SKILL.md does not declare or describe any data provider (e.g., Google/Foursquare/OpenStreetMap) or required API keys; it also references a local file:// path (STANDARD_RESPONSE.md) that is not bundled with the skill. The lack of a declared provider/credentials is unexpected but could be legitimate if the platform supplies POI data — the skill should say which.
Instruction Scope
Instructions stay within the stated purpose (collect location input, apply radius/filters, return POI list, apply privacy blurring). They explicitly require user authorization for location. Concern: instructions are vague about how/where queries are performed and what network endpoints will be contacted, and they reference an external local file path for the standard response schema that isn't part of the skill bundle.
Install Mechanism
No install spec and no code files (instruction-only). This is low-risk from an installation perspective since nothing is written to disk by the skill itself.
Credentials
The skill requests no environment variables or credentials, which is consistent with the absence of a provider. However, if the implementation must call an external POI API in practice, it would normally need provider credentials; their absence is a gap that should be explained.
Persistence & Privilege
always is false and there are no install-time or config-write behaviors described. The skill does not request persistent privileges or cross-skill configuration changes.
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 cafes - 安装完成后,直接呼叫该 Skill 的名称或使用
/cafes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 the "附近咖啡" skill:
- Finds nearby cafes based on user location and preferences.
- Supports radius and result limit customizations.
- Includes optional filters (e.g., chain, rating, seating).
- Provides standardized error codes for invalid input or provider issues.
- Requires user location authorization and includes privacy measures.
元数据
常见问题
cafes 是什么?
Find nearby cafes. Invoke when user asks for coffee near me. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 203 次。
如何安装 cafes?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install cafes」即可一键安装,无需额外配置。
cafes 是免费的吗?
是的,cafes 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
cafes 支持哪些平台?
cafes 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 cafes?
由 mikeclaw007(@mikeclaw007)开发并维护,当前版本 v0.1.0。
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