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飞猪租车智能推荐助手
by
maqianqiandegithup
· GitHub ↗
· v1.0.0
· MIT-0
123
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0
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0
Active Installs
1
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Install in OpenClaw
/install rent-skill
Description
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。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install rent-skill - After installation, invoke the skill by name or use
/rent-skill - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is 飞猪租车智能推荐助手?
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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 123 downloads so far.
How do I install 飞猪租车智能推荐助手?
Run "/install rent-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 飞猪租车智能推荐助手 free?
Yes, 飞猪租车智能推荐助手 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 飞猪租车智能推荐助手 support?
飞猪租车智能推荐助手 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 飞猪租车智能推荐助手?
It is built and maintained by maqianqiandegithup (@maqianqiandegithup); the current version is v1.0.0.
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