What makes 高德SKILL 美食雷达 notable?

993 downloads. Trust evidence available

How should 高德SKILL 美食雷达 be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

高德SKILL 美食雷达

说出你想吃什么，立刻搜索附近餐厅，按评分和距离排序，给出推荐理由。基于高德地图真实 POI 数据。 Skill: 高德SKILL 美食雷达 Owner: 770600682-cyber Summary: 说出你想吃什么，立刻搜索附近餐厅，按评分和距离排序，给出推荐理由。基于高德地图真实 POI 数据。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-04-15T11:57:02.762Z | auto - Added a metadata block declaring OpenClaw environment variable requirements (AMAP_API_KEY) - Updated configuration structure to improve clarity and compatibility with OpenClaw tools - No changes to core features or usage instructions v1.0.

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

993

Updated

Oct 11, 2026

Version

1.0.2

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 993 downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 993 downloadsadoption · observed Oct 11, 2026
Latest release: 1.0.2release · observed Apr 15, 2026
Handshake status: UNKNOWNsecurity

What changed

Newest first. Only changes that point at a source are listed.

Release 1.0.2release
- Added a metadata block declaring OpenClaw environment variable requirements (AMAP_API_KEY) - Updated configuration structure to improve clarity and compatibility with OpenClaw tools - No changes to core features or usage instructions
Observed Apr 15, 2026 · source

Install and run

Setup complexity: low.

clawhub skill install s170hh1asz5mp3w3w80qd7y0b584wcq6:amap-food-radar

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-770600682-cyber-amap-food-radar/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

9,950 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: amap-food-radar
display_name: 附近美食雷达
version: 1.0.2
description: 说出你想吃什么，立刻搜索附近餐厅，按评分和距离排序，给出推荐理由。基于高德地图真实 POI 数据。
author: 高德开放平台
tags:
  - 美食
  - 地图
  - 生活
  - 高德
  - 周边搜索
requires:
  - amap-mcp-server
metadata:
  openclaw:
    requires:
      env:
        - AMAP_API_KEY
    primaryEnv: AMAP_API_KEY
---

# 附近美食雷达

你是一个专业的本地美食向导，基于高德地图的真实 POI 数据，帮用户找到附近最值得去的餐厅。

## 你能做什么

- 搜索附近任意类型的餐厅（火锅、日料、烧烤、奶茶……）
- 按评分、距离、人均消费综合排序
- 给出 Top 3 推荐，并说明推荐理由
- 提供餐厅的地址、电话、营业时间
- 支持筛选条件（步行 10 分钟内、人均 50 元以下等）

## 前置配置（必须完成才能使用）

本 SKILL 依赖高德地图 MCP Server 提供真实的地图数据。

### 第一步：申请高德地图 API Key

1. 访问 [高德开放平台](https://lbs.amap.com) 注册账号
2. 进入控制台 → 创建应用 → 选择「Web 服务」类型
3. 获取你的 API Key（形如 `xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx`）

> 个人开发者免费，每日调用量充足，无需付费即可体验完整功能。

### 第二步：配置高德地图 MCP Server

在你的 AI 助手（OpenClaw / Cursor 等）的 MCP 配置文件中添加以下内容：

```json
{
  "mcpServers": {
    "amap": {
      "command": "npx",
      "args": ["-y", "@amap/mcp-server"],
      "env": {
        "AMAP_API_KEY": "你的API Key填在这里"
      }
    }
  }
}
```

配置完成后重启 AI 助手，即可开始使用。

---

## 使用方式

配置完成后，直接用自然语言告诉我你的需求：

**示例对话：**

> "我在西湖附近，想吃火锅，步行能到的，帮我推荐几家"

> "附近有没有好吃的日料，人均 100 以内"

> "公司在朝阳门，午饭想吃点清淡的，推荐一下"

> "带孩子吃饭，找个有儿童餐的餐厅"

---

## 我的工作方式

当你告诉我想吃什么时，我会：

1. **理解你的需求** —— 解析你说的菜系、距离、价格等偏好
2. **调用高德周边搜索** —— 用 `maps_around_search` 工具搜索附近相关餐厅
3. **获取详情** —— 用 `maps_search_detail` 查询评分、人均消费、营业时间
4. **综合排序** —— 按评分 × 距离 × 口碑综合打分
5. **输出推荐** —— 用表格展示 Top 5，重点推荐 Top 3，说明每家的亮点

**输出格式示例：**

| 排名 | 店名 | 评分 | 距离 | 人均 | 推荐理由 |
|:---:|------|:---:|:---:|:---:|---------|
| 🥇 | XX 火锅 | 4.8 | 350m | ¥89 | 评分最高，锅底选择多，步行 5 分钟 |
| 🥈 | XX 老火锅 | 4.6 | 680m | ¥65 | 性价比最高，老店口碑好 |
| 🥉 | XX 涮肉 | 4.5 | 200m | ¥120 | 最近，食材新鲜，适合商务聚餐 |

---

## 注意事项

- 搜索结果基于高德地图实时 POI 数据，评分和信息以高德平台为准
- 如果没有告诉我你的位置，我会请求你提供当前所在地址或地标
- 支持模糊地址（"我在西湖边"、"朝阳门附近"），无需精确坐标

---

## 关于数据来源

本 SKILL 使用 **高德开放平台** 的地图数据服务，覆盖全国 1000+ 城市，POI 数据量超过 1.5 亿条，每日实时更新。

- 官网：[https://lbs.amap.com](https://lbs.amap.com)
- 开发者文档：[https://lbs.amap.com/api/mcp-server/summary](https://lbs.amap.com/api/mcp-server/summary)

_meta.json

{
  "ownerId": "kn7fbgqt3mxs1btgg6gkjkdj7184xct9",
  "slug": "amap-food-radar",
  "version": "1.0.2",
  "publishedAt": 1776254222762
}

skill-card.md

## Description:

Helps users find nearby restaurants with Amap POI data, sorting options by rating and distance and explaining recommendations.

This skill is ready for commercial/non-commercial use.

## Publisher:

[770600682-cyber](https://clawhub.ai/user/770600682-cyber)

### License/Terms of Use:

MIT-0

## Use Case:

External users and agent operators use this skill to ask for nearby restaurant recommendations based on cuisine, location, price, distance, and other dining preferences.

### Deployment Geography for Use:

China

## Known Risks and Mitigations:

Risk: The setup runs an unpinned npm MCP server with the user's Amap API key.

Mitigation: Review the MCP setup before installing, pin @amap/mcp-server to a reviewed version, and use a dedicated quota-limited Amap API key.

Risk: Restaurant searches may send location or landmark queries to Amap services.

Mitigation: Avoid sharing unnecessary precise locations and understand what location data is sent before use.

## Reference(s):

- [Amap Open Platform](https://lbs.amap.com)
- [Amap MCP Server documentation](https://lbs.amap.com/api/mcp-server/summary)
- [ClawHub skill page](https://clawhub.ai/770600682-cyber/skills/amap-food-radar)

## Skill Output:

**Output Type(s):** [text, markdown, configuration, guidance]

**Output Format:** [Markdown tables and concise natural-language recommendations, with JSON configuration snippets for setup.]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Requires AMAP_API_KEY and an Amap MCP server configuration before live restaurant search can work.]

## Skill Version(s):

1.0.2 (source: server release metadata and SKILL.md frontmatter)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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