What makes ritz-carlton-hotel-booking notable?

1.1K downloads. Trust evidence available

How should ritz-carlton-hotel-booking 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

ritz-carlton-hotel-booking

搜索万豪集团旗下丽思卡尔顿酒店并返回实时价格与预订链接，支持酒店详情查询和套餐优惠搜索。当用户需要预订丽思卡尔顿酒店、查找Ritz-Carlton酒店价格时使用 Skill: ritz-carlton-hotel-booking Owner: travel-skills Summary: 搜索万豪集团旗下丽思卡尔顿酒店并返回实时价格与预订链接，支持酒店详情查询和套餐优惠搜索。当用户需要预订丽思卡尔顿酒店、查找Ritz-Carlton酒店价格时使用 Tags: latest:1.1.7 Version history: v1.1.7 | 2026-09-22T09:43:04.477Z | user 移除PROXY_TOKEN硬编码，修复安全网关T09拦截问题 v1.1.6 | 2026-09-15T13:44:19.668Z | user 万豪品牌专属数据源暂停，调整为服务引导版本，推荐使用全球酒店搜索/酒店比价等通用技能 v1.1.5 | 2026-08-26T14:45:02.675Z | user 优化技能描述，提升搜索匹配精度 v1.1.4 | 2026-07-08T06:28:

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.1k

Updated

Oct 11, 2026

Version

1.1.7

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.1K 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: 1.1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.1.7release · observed Sep 22, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s175e1acy2vdpc6w041zc2tcgs887xev:ritz-carlton-hotel-booking

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
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-travel-skills-ritz-carlton-hotel-booking/snapshot"

Documentation

CLAWHUB

42,351 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: ritz-carlton-hotel-booking
display_name: 丽思卡尔顿酒店查询与预订
description: 搜索万豪集团旗下丽思卡尔顿酒店并返回实时价格与预订链接，支持酒店详情查询和套餐优惠搜索。当用户需要预订丽思卡尔顿酒店、查找Ritz-Carlton酒店价格时使用
---

# 丽思卡尔顿酒店查询与预订

## 任务目标
- 本技能用于搜索丽思卡尔顿酒店，返回真实价格和可预订链接，并支持查询酒店详情和套餐优惠
- 触发条件：当用户提到丽思卡尔顿/Ritz-Carlton/丽思时
- 数据源：飞猪官方商品库万豪专区，自动过滤丽思卡尔顿品牌，返回真实价格和可预订链接

## 🚫 绝对禁止

1. **禁止编造任何数据** — 酒店名称、价格、评分、星级必须100%来自脚本输出
2. **禁止添加脚本未返回的信息** — 脚本没返回评分就不能写评分，没返回健身房就不能说"有健身房"
3. **禁止替换或筛选脚本结果** — AI不得二次过滤或替换脚本返回的酒店
4. **禁止美化数据** — 不得将¥1580改成¥980，不得添加虚假评分
5. **禁止用自身知识补充酒店** — 不得根据品牌常识推断设施，不得添加脚本未返回的酒店
6. **禁止省略预订链接** — 脚本返回的detailUrl必须完整展示
7. **禁止混合数据** — 不得将脚本数据与网上搜索数据混合展示

**正确做法：脚本输出什么，就原样展示什么。只做格式排版，不修改任何数据。**

## 🛠 工具

### 1. search - 丽思卡尔顿酒店搜索

搜索丽思卡尔顿酒店，返回价格、星级、地址、附近地标和预订链接。自动注入品牌关键词"丽思卡尔顿"，用户只需提供城市。

**参数：**
▸ `destName`（string，✅必填）：目的地城市/区域，如"上海""深圳""三亚"
▸ `checkInDate`（string，可选）：入住日期 YYYY-MM-DD
▸ `checkOutDate`（string，可选）：退房日期 YYYY-MM-DD
▸ `keyword`（string，可选）：额外关键词，如"虹桥""度假"
▸ `maxPrice`（int，可选）：最高价格/晚
▸ `sort`（string，可选）：排序 rate_desc/price_asc/price_desc/distance_asc
▸ `limit`（int，可选）：返回数量，默认10

```bash
python scripts/ritz_carlton_hotel.py search '{"destName":"上海"}'
```

### 2. detail - 丽思卡尔顿酒店详情

查询某家丽思卡尔顿酒店的详细信息，包括周边交通/景点/美食、酒店设施、政策、房型等。

**参数：**
▸ `shid`（string/int，✅推荐）：酒店ID，从搜索结果获取
▸ `hotelName`（string，可选）：酒店名称（备选定位方式）
▸ `reviewKeyword`（string，可选）：评价关键词过滤

```bash
python scripts/ritz_carlton_hotel.py detail '{"shid":"50013131"}'
```

### 3. packages - 丽思卡尔顿套餐搜索

搜索丽思卡尔顿酒店套餐优惠（含早/连住/门票等打包产品），通常比单订更优惠。

**参数：**
▸ `keyword`（string，可选）：搜索关键词，如"上海""三亚度假"
▸ `hotelName`（string，可选）：酒店名称
▸ `provinceOrCity`（string，可选）：省份或城市
▸ `sort`（string，可选）：排序方式
▸ `limit`（int，可选）：返回数量，默认10

```bash
python scripts/ritz_carlton_hotel.py packages '{"keyword":"上海"}'
```

## 执行流程

1. 用户提到丽思卡尔顿 → 调用 **search** 搜索酒店列表
2. 用户想了解某家酒店详情（交通/设施/房型） → 从搜索结果获取shid，调用 **detail**
3. 用户找优惠或套餐 → 调用 **packages** 搜索打包产品
4. 展示结果时，预订链接以 [点击预订](url) 格式展示
5. 所有结果末尾标注"数据来源：飞猪官方商品库·万豪集团专区"

## 使用示例

### 示例1：搜索丽思卡尔顿酒店
- 用户："上海有什么丽思卡尔顿酒店"
- 调用：`python scripts/ritz_carlton_hotel.py search '{"destName":"上海"}'`

### 示例2：预算筛选
- 用户："上海800块以内的丽思卡尔顿"
- 调用：`python scripts/ritz_carlton_hotel.py search '{"destName":"上海","maxPrice":800,"sort":"price_asc"}'`

### 示例3：酒店详情
- 用户："上海丽思卡尔顿怎么样"
- 调用：`python scripts/ritz_carlton_hotel.py detail '{"shid":"50013131"}'`

### 示例4：套餐优惠
- 用户："丽思卡尔顿有什么优惠套餐"
- 调用：`python scripts/ritz_carlton_hotel.py packages '{"keyword":"上海"}'`

_meta.json

{
  "ownerId": "kn7e1mfbeh2h71wg876t0sb8gx884fjb",
  "slug": "ritz-carlton-hotel-booking",
  "version": "1.1.7",
  "publishedAt": 1790070184477
}

skill-card.md

## Description:

Searches Ritz-Carlton hotels in Marriott-related inventory and returns live prices, hotel details, package offers, and booking links.

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

## Publisher:

[travel-skills](https://clawhub.ai/user/travel-skills)

### License/Terms of Use:

MIT-0

## Use Case:

External users and travel-support agents use this skill to find Ritz-Carlton hotel availability, prices, details, packages, and booking links for a requested destination or hotel.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Hotel search terms, destinations, dates, hotel names, and optional review keywords are sent to an external proxy service for live results.

Mitigation: Install and use the skill only where sharing those travel query details with the configured proxy is acceptable.

Risk: The trigger term can be ambiguous when the user only says "丽思".

Mitigation: Confirm ambiguous prompts before invoking hotel search, detail, or package lookup commands.

Risk: Hotel names, prices, ratings, policies, and booking links can be misleading if the agent supplements or edits script output.

Mitigation: Present only values returned by the tool output and avoid adding unsourced hotel facts.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/travel-skills/skills/ritz-carlton-hotel-booking)

## Skill Output:

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

**Output Format:** [Markdown text with booking links and command examples]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Returns hotel search results, hotel details, or package offers from the configured live data proxy.]

## Skill Version(s):

1.1.7 (source: server release evidence)

## 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.

Github ReposUpdated 1d agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW

Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW

Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW

Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular