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飞猪租车智能推荐助手
作者
maqianqiandegithup
· GitHub ↗
· v1.0.0
· MIT-0
123
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版本数
在 OpenClaw 中安装
/install rent-skill
功能描述
飞猪租车智能推荐助手。根据用户出行需求（人数、目的地、时间、品牌偏好）推荐最适合的租车车型，支持调用飞猪租车Mtop API查询实时库存。
安全使用建议
This skill appears internally consistent for recommending Fliggy rental cars and doesn't ask for credentials or install code. Before enabling it: (1) review mtopapi/data.js to confirm it contains only static sample data and no hard-coded secrets; (2) be aware Mtop API calls typically require valid auth/context — the skill doesn't declare how to obtain tokens, so the agent or user may need to supply them at runtime (never paste credentials into an untrusted prompt); (3) verify the network endpoints used at runtime point to official Fliggy/Taobao domains; and (4) if the agent prompts for additional access (API keys, cookies, or system files) ask why those are needed and deny if unrelated.
功能分析
Type: OpenClaw Skill
Name: rent-skill
Version: 1.0.0
The 'rent-skill' bundle is a legitimate implementation of a rental car recommendation assistant for the Fliggy platform. The SKILL.md file provides clear, functional instructions for an AI agent to collect user requirements and query the 'mtop.trip.tfrcs.rentcar.queryItems' API. The data.js file contains standard sample request and response payloads consistent with rental car services, and the OTA links point to a valid Alibaba/Taobao domain (taobao.com). No evidence of data exfiltration, malicious execution, or prompt injection was found.
能力评估
Purpose & Capability
Name/description, SKILL.md and the included mtopapi/data.js all describe querying Fliggy's rentcar Mtop API and filtering/sorting results. The required capabilities (API request parameters, city codes, filter tags) match the stated purpose and there are no unrelated environment variables, binaries, or config paths requested.
Instruction Scope
SKILL.md gives concrete, scoped instructions for collecting user input, building Mtop request params, filtering results and rendering Top 3–5 recommendations. It references the local data.js for brand/filter lists. The doc does not describe authentication/authorization for Mtop API (how tokens/context are obtained) or error handling for failed network calls — an operational gap but not an explicit malicious behavior.
Install Mechanism
No install spec (instruction-only) and no downloads or package installs are declared. The only shipped code is a local data file (mtopapi/data.js), which is sample/static data — no installation risk present in metadata.
Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportionate for a read/query-only recommendation skill. Note: real Mtop endpoints often require auth; this skill currently uses static sample contextId/fpt values in data.js rather than requesting secrets.
Persistence & Privilege
always is false and the skill does not request elevated or persistent privileges. It does not modify other skills or system-wide config per the provided files.
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 rent-skill - 安装完成后，直接呼叫该 Skill 的名称或使用
/rent-skill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
v1.0.0
fliggy-rental-car 1.0.0 初始版本发布，提供飞猪租车智能推荐。
- 根据用户提供的出行目的地、时间、人数、品牌偏好，智能推荐最符合需求的车型
- 支持多轮对话，自动补全缺失信息
- 实时对接飞猪租车 Mtop API，查询可用车型及库存
- 精确筛选座位数、品牌、能源类型等，推荐优质分排序结果
- 车型以 Markdown 表格和图片方式美观展示，内含OTA预订直达链接
- 友好处理无库存、无品牌及异常情况，并给予调整建议
元数据
常见问题
飞猪租车智能推荐助手 是什么？
飞猪租车智能推荐助手。根据用户出行需求（人数、目的地、时间、品牌偏好）推荐最适合的租车车型，支持调用飞猪租车Mtop API查询实时库存。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 123 次。
如何安装 飞猪租车智能推荐助手？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install rent-skill」即可一键安装，无需额外配置。
飞猪租车智能推荐助手 是免费的吗？
是的，飞猪租车智能推荐助手 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
飞猪租车智能推荐助手 支持哪些平台？
飞猪租车智能推荐助手 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 飞猪租车智能推荐助手？
由 maqianqiandegithup（@maqianqiandegithup）开发并维护，当前版本 v1.0.0。
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