Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add RollingGo-AI/rollinggo-hotel-skill-cn --skill rollinggo-hotel-bookinggit clone --depth 1 https://github.com/RollingGo-AI/rollinggo-hotel-skill-cnWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/rollinggo-ai/rollinggo-hotel-skill-cn/rollinggo-hotel-booking)<a href="https://agentmods.dev/skills/rollinggo-ai/rollinggo-hotel-skill-cn/rollinggo-hotel-booking"><img src="https://agentmods.dev/badge/skills/rollinggo-ai/rollinggo-hotel-skill-cn/rollinggo-hotel-booking/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/rollinggo-ai/rollinggo-hotel-skill-cn/rollinggo-hotel-booking"><img src="https://agentmods.dev/badge/skills/rollinggo-ai/rollinggo-hotel-skill-cn/rollinggo-hotel-booking.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00182 | $0.02972 |
| Opus 5 | $0.00091 | $0.01486 |
| Sonnet 5 | $0.00036 | $0.00594 |
| Haiku 4.5 | $0.00018 | $0.00297 |
Grade A, and why
rollinggo-hotel-booking scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
"anyBins": ["rgh", "npx", "node", "python", "python3", "curl", "wget"] How it starts
The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RollingGo 酒店搜索与预订 Skill
安装
如果本地环境未安装 rgh 命令，可以通过以下三种方式之一进行安装：
方式一：通过 npm 安装（推荐） 如果环境中有 Node.js 和 npm，请执行：
npm install -g @rollinggo/hotel@latest
方式二：通过 Python 自动脚本安装（免 Node.js 环境）
如果环境中有 Python，可以直接在 Skill 目录下运行我们提供的自动化安装脚本，它将自动检测您的操作系统并下载最新版的 rgh 独立二进制程序到本地 bin 文件夹：
python scripts/install.py
方式三：手动下载独立可执行文件（免 Node/Python 环境）
如果环境中既没有 npm 也没有 Python，请从以下 Release 页面下载对应的单文件程序（Windows: rgh-win.exe / rgh-windows.exe, Mac: rgh-macos, Linux: rgh-linux）：
https://github.com/RollingGo-AI/oauth-hotel-cli/releases/latest
下载后将其重命名为 rgh（Windows下为 rgh.exe），赋予执行权限，并放入系统环境变量 PATH 或技能目录的 bin 文件夹中。
⚠️ 自动升级拦截原则：
CLI 工具内置了版本检测。当你在执行任何 rgh 命令时，如果控制台输出中出现 📦 有新版本可用！ 或 运行以下命令更新 的提示，你必须立即暂停当前操作，先使用上述三种方式之一将工具升级到最新版，升级成功后再重新执行刚才中断的命令。 这样可避免由于服务端接口过期而导致的预订失败。
⚠️ 输出规范：
- 严禁向用户展示任何技术细节，包括但不限于：工具名（如
search-hotels、hotel-detail）、JSON 字段名（如hotelId、ratePlanId、referenceNo）、命令行内容、技术参数。- 只展示用户关心的信息：酒店名称、星级、价格、距离、核心设施、标签、预订链接。
- 结果必须格式化展示，每家酒店独占一个卡片，关键信息换行分隔，禁止堆砌在一行。
- 价格说明：搜索结果中的价格为参考展示价，实际下单价以价格确认为准，展示时注明"参考价"。
- 登录授权：用户通过 Agent 对话时看不到终端输出，执行
rgh login后必须从输出中提取授权链接并回复给用户，不要展示二维码文本。
When to Use
用户涉及酒店住宿相关的任何意图时均应触发本 Skill，包括但不限于以下场景：
搜索与发现：
- 按地点找酒店："帮我找北京三里屯附近酒店"、"三亚有什么好酒店"、"西湖旁边住宿推荐"
- 按条件筛选："五星酒店"、"带泳池的酒店"、"含早餐的住宿"、"亲子酒店"、"宠物友好酒店"
- 按预算筛选："500块以内的酒店"、"经济实惠的住宿"、"豪华酒店推荐"
- 按品牌筛选："希尔顿"、"万豪"、"亚朵"、"全季"
查询与对比：
- 查房价："杭州酒店多少钱一晚"、"这个酒店什么价格"
- 看房型："有什么房型"、"大床房有没有"、"家庭房推荐"
- 比较住宿："帮我对比一下这两家酒店"、"哪个更划算"
- 了解设施："有没有泳池"、"离地铁站多远"、"停车方便吗"
预订与订单：
- 预订酒店："帮我订这家酒店"、"我要下单"、"预订一间房"
- 查询订单："我的订单"、"之前订的酒店"、"订单状态"
触发词覆盖： 找酒店、订酒店、搜酒店、酒店推荐、酒店查询、附近酒店、五星酒店、民宿、度假村、查房价、看房型、入住、住哪、住宿、出差住宿、旅游住宿、亲子酒店、带泳池的酒店、含早餐酒店、商务酒店、情侣酒店、温泉酒店、海景房、江景房。
When NOT to Use
- 用户询问机票、火车票、租车、景点门票等非住宿类旅行需求
- 用户只是闲聊旅游目的地，没有明确住宿意图
- 用户已明确表示"不用订"、"只是问问"
安全门控
⚠️ 酒店预订属于真实消费操作：
- 两步确认：展示房型和价格后，须等用户明确选择方可锁价与下单。
- 信息完整性：下单前须确认入住人姓名拼音与邮箱。
- 锁价时效：锁定的价格凭证（
referenceNo）有效期约 15-30 分钟，超时须重新锁价。
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 205 lines · 182 tokens per session scan A dff1ae1c7ad2
rollinggo-hotel-booking is a skill published in the GitHub repository RollingGo-AI/rollinggo-hotel-skill-cn (154 stars, last pushed 15d ago), licensed MIT. It adds 182 tokens to every session and 2,972 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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