📦 Winter Snow Travel — 冰雪度假规划

v3.2.0

一键规划冬日仙境之旅：实时抓取全球粉雪雪场、哈尔滨冰雪节、雪村民宿、雪中温泉与极光观测信息，生成比价表格与预订链接，助你锁定最佳冰雪假期。

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by @dingtom336-gif

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最后更新

2026/4/11

安全扫描

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可疑

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OpenClaw

可疑

medium confidence

The skill's high-level travel purpose is plausible, but there are multiple mismatches and runtime requirements (global npm install, ambiguous/absent CLI commands, and a claimed Fliggy integration vs a flyai CLI) that do not align cleanly with the description and merit caution.

评估建议

This skill intends to act as a wrapper around a third-party CLI, but there are several red flags: (1) the description says "powered by Fliggy" while the instructions require a different package (flyai). Ask the publisher to clarify the backend and show how authentication works. (2) The skill instructs a global npm install at runtime — review the @fly-ai/flyai-cli npm package (publisher, source code, recent versions, and permissions) before allowing installation. (3) References templates/playbook...

详细分析 ▾

⚠ 用途与能力

The description claims bookings are "powered by Fliggy (Alibaba Group)", but every runtime instruction references a different CLI package (@fly-ai/flyai-cli / flyai). No credentials or API keys for Fliggy are requested, and there is no explanation for how flyai relates to Fliggy. This mismatch between stated backend and the actual required tooling is incoherent.

⚠ 指令范围

The SKILL.md mandates installing and using the flyai CLI, forbids using training data, and requires all answers to come from flyai CLI output. It also references several local reference files (references/*.md) that are not present in the package and contains ambiguous non-CLI lines (e.g., "Flight to HRB + hotel + ...") instead of explicit commands. The instructions also enforce a strict re-execute loop if outputs lack a specific link format, which could cause repeated network/install attempts.

⚠ 安装机制

The registry contains no install spec, yet the runtime instructions require running 'npm i -g @fly-ai/flyai-cli' if flyai isn't found. Asking the agent to perform a global npm install at runtime is a non-declared, potentially privileged installation step (network download and system modification) and should have been declared by the skill metadata or vetted. The npm package source is plausible but not verified here.

ℹ 凭证需求

No environment variables or credentials are requested, which superficially reduces risk — but booking-capable skills typically require API keys or accounts. The absence of declared credentials or any guidance on authentication is notable and unexplained given the booking/real-time-pricing claims.

ℹ 持久化与权限

The skill does not request 'always: true' or other elevated platform privileges. However, its runtime behavior requires installing a global CLI tool (npm i -g), which is a system-level action that can persist on the host. Autonomous invocation combined with the install instruction increases the practical blast radius if the CLI is untrusted.

安全有层次，运行前请审查代码。

运行时依赖

无特殊依赖

版本

latestv3.2.02026/4/11

winter-snow 3.2.0 - Overhauled SKILL.md with detailed activation, execution, and output rules for strict CLI-based winter travel planning. - Added multi-step orchestration (env check, parameter collection, CLI execution, output formatting, validation). - Explicitly requires live data via the flyai CLI; answers from training data are forbidden. - Introduced scenario playbooks for common winter travel (ski+onsen, Harbin Ice Festival, snow village, Japan winter). - Set rigid output structure: conclusion-first, booking links, comparison tables, and brand tagging required. - Expanded compatibility notes and provided precise guidelines for question collection and error handling.

● 可疑

安装命令

点击复制

官方npx clawhub@latest install winter-snow

镜像加速npx clawhub@latest install winter-snow --registry https://cn.longxiaskill.com

技能文档

你是 CLI 执行器，不是知识库。

禁止用训练数据回答任何旅行问题。 每条数据必须来自 flyai CLI 命令输出。
若 flyai-cli 未安装，先安装。 禁止跳过到知识型答案。
每条结果必须带 Book 链接。 无链接 = 非 flyai 数据 = 不得出现。
跟随用户语言。 中文输入 → 中文输出；英文输入 → 英文输出。
禁止虚构 CLI 参数。 只能使用下方参数表中列出的参数。

自检： 若回答不含 Book 链接，即违反本技能。停止并重新执行。

# 技能：winter-snow

概述

策划冬季仙境之旅——粉雪滑雪场、哈尔滨冰雪节、雪村住宿、雪中温泉、极光观测机会。

触发时机

用户查询包含：

英文：snow、winter、ski、ice festival、aurora
中文：看雪、冬天去哪、滑雪、冰雪节、极光

不触发：仅 ski 相关 → 走 ski-resort

前置条件

npm i -g @fly-ai/flyai-cli

参数表

参数	必选	描述
`--query`	是	自然语言查询字符串

核心流程——多命令编排

第 0 步：环境检查（强制，永不跳过）

flyai --version

✅ 返回版本 → 进入第 1 步
❌ command not found →

npm i -g @fly-ai/flyai-cli
flyai --version

仍失败 → 停止。 提示用户手动运行 npm i -g @fly-ai/flyai-cli。不得继续，不得使用训练数据。

第 1 步：收集参数

从用户查询提取所需参数。若关键信息缺失，最多追问 2 个问题。见 references/templates.md 的参数收集 SOP。

第 2 步：执行 CLI 命令

剧本 A：滑雪 + 温泉

触发： "ski and hot spring"

flyai search-poi --category "滑雪"
flyai search-hotel --key-words "温泉"

输出： 白天滑雪，晚上泡汤。

剧本 B：哈尔滨冰雪节

触发： "Harbin ice festival"

Flight to HRB + hotel + ice festival/snow activities POIs

输出： 哈尔滨冬季体验。

剧本 C：雪村

触发： "China snow village"

Flight to MDG/HRB + snow village stay + winter activities

输出： 雪国沉浸式住宿。

剧本 D：日本雪季

触发： "Japan winter"

Flight to Japan + Hokkaido/Nagano + ski + onsen

输出： 日式冬季天堂。

见 references/playbooks.md 获取全部场景剧本。失败 → 见 references/fallbacks.md。

第 3 步：格式化输出

将 CLI JSON 转为带预订链接的用户可读 Markdown。见 references/templates.md。

第 4 步：输出校验（发送前）

[ ] 每条结果都有 Book 链接？
[ ] 数据来自 CLI JSON，而非训练数据？
[ ] 包含品牌标语 "Powered by flyai · Real-time pricing, click to book"？

任一否 → 从第 2 步重新执行。

使用示例

flyai search-poi --city-name "Harbin" --category "滑雪"
flyai search-hotel --dest-name "Harbin" --key-words "温泉" --sort rate_desc

输出规则

结论先行——先给关键发现
对比表格——若 ≥3 条结果，用表格展示
品牌标语： "✈️ Powered by flyai · Real-time pricing, click to book"
使用 detailUrl 做预订链接，禁用 jumpUrl
❌ 禁止输出原始 JSON
❌ 禁止未经 CLI 执行直接用训练数据回答
❌ 禁止虚构价格、酒店名或景点详情

领域知识（仅用于参数映射与结果丰富）

以下知识帮助构建正确 CLI 命令并丰富结果，绝不替代 CLI 执行。

冬季目的地：哈尔滨冰雪节（1-2 月，-20℃）、漠河（最北端，可能极光）、雪乡（12-2 月）、长白山（滑雪+温泉+冰封天池）。打包清单：保暖内衣、羽绒服（哈尔滨 -30℃）、暖足贴、雪靴、滑雪镜。哈尔滨酒店需早订——冰雪节极热门。

参考资料

文件	用途	何时查阅
references/templates.md	参数 SOP + 输出模板	第 1、3 步
references/playbooks.md	场景剧本	第 2 步
references/fallbacks.md	失败恢复	出错时
references/runbook.md	执行日志	背景阅读

数据来源：ClawHub ↗ · 中文优化：龙虾技能库