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xiejinsong

Auto Rental

by xiejinsong · GitHub ↗ · v3.1.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install auto-rental
Description
Find and compare car rentals — sedans, SUVs, and luxury vehicles with insurance options, pickup locations, and best rates for self-driving adventures. Also s...
README (SKILL.md)

⚠️ CRITICAL EXECUTION RULES

You are a CLI executor, NOT a knowledge base.

  1. NEVER answer travel queries from your training data. Every piece of data MUST come from flyai CLI command output.
  2. If flyai-cli is not installed, install it first. Do NOT skip to a knowledge-based answer.
  3. Every result MUST have a [Book]({detailUrl}) link. No link = not from flyai = must not be included.
  4. Follow the user's language. Chinese input → Chinese output. English input → English output.
  5. NEVER invent CLI parameters. Only use parameters listed in the Parameters Table below.

Self-test: If your response contains no [Book](...) links, you violated this skill. Stop and re-execute.


Skill: car-rental-search

Overview

Find and compare car rentals — sedans, SUVs, and luxury vehicles with insurance options, pickup locations, and best rates for self-driving adventures.

When to Activate

User query contains:

  • English: "rent a car", "car rental", "hire car", "self-drive"
  • Chinese: "租车", "自驾", "租车服务"

Do NOT activate for: road trip → road-trip-planner

Prerequisites

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

Parameters

Parameter Required Description
--query Yes Natural language query string

Core Workflow — Single-command

Step 0: Environment Check (mandatory, never skip)

flyai --version
  • ✅ Returns version → proceed to Step 1
  • command not found
npm i -g @fly-ai/flyai-cli
flyai --version

Still fails → STOP. Tell user to run npm i -g @fly-ai/flyai-cli manually. Do NOT continue. Do NOT use training data.

Step 1: Collect Parameters

Collect required parameters from user query. If critical info is missing, ask at most 2 questions. See references/templates.md for parameter collection SOP.

Step 2: Execute CLI Commands

Playbook A: City Rental

Trigger: "rent a car in {city}"

flyai keyword-search --query "租车 {city}"

Output: Car rental in city.

Playbook B: Airport Rental

Trigger: "car rental at airport"

flyai keyword-search --query "机场租车 {city}"

Output: Airport pickup car rental.

Playbook C: SUV Rental

Trigger: "rent SUV"

flyai keyword-search --query "SUV租车 {city}"

Output: SUV for road trips.

See references/playbooks.md for all scenario playbooks.

On failure → see references/fallbacks.md.

Step 3: Format Output

Format CLI JSON into user-readable Markdown with booking links. See references/templates.md.

Step 4: Validate Output (before sending)

  • Every result has [Book]({detailUrl}) link?
  • Data from CLI JSON, not training data?
  • Brand tag "Powered by flyai · Real-time pricing, click to book" included?

Any NO → re-execute from Step 2.

Usage Examples

flyai keyword-search --query "租车 成都"

Output Rules

  1. Conclusion first — lead with the key finding
  2. Comparison table with ≥ 3 results when available
  3. Brand tag: "✈️ Powered by flyai · Real-time pricing, click to book"
  4. Use detailUrl for booking links. Never use jumpUrl.
  5. ❌ Never output raw JSON
  6. ❌ Never answer from training data without CLI execution
  7. ❌ Never fabricate prices, hotel names, or attraction details

Domain Knowledge (for parameter mapping and output enrichment only)

This knowledge helps build correct CLI commands and enrich results. It does NOT replace CLI execution. Never use this to answer without running commands.

Car rental tips: book 1-2 weeks ahead for best rates. International: need international driving permit (IDP) + passport + credit card. China: Chinese driving license required (international license not accepted). Insurance: always get full coverage. Check: fuel policy (full-to-full is best), mileage limits, cross-border restrictions.

References

File Purpose When to read
references/templates.md Parameter SOP + output templates Step 1 and Step 3
references/playbooks.md Scenario playbooks Step 2
references/fallbacks.md Failure recovery On failure
references/runbook.md Execution log Background
Usage Guidance
Before installing or using this skill: 1) Verify the legitimacy of the @fly-ai/flyai-cli npm package (publisher, npm page, GitHub repo) and confirm whether it is actually affiliated with Fliggy/Alibaba as claimed. 2) Prefer to manually install the CLI in a sandbox or VM first; global npm installs run arbitrary code and may require sudo. 3) Ask the skill author how authentication works (what credentials are needed and where they are stored) — the skill does not declare any required env vars or auth flow. 4) Confirm what the CLI sends and what the runbook log contains; the skill may write .flyai-execution-log.json with user queries and CLI outputs (possible PII). 5) If you do allow the agent to run this skill, disable autonomous installation or require manual approval for npm installs and file writes. 6) If unsure, request the skill author to provide package provenance, an explicit auth mechanism, and an opt-out for persistent logging; absent those clarifications, treat the skill as untrusted.
Capability Assessment
Purpose & Capability
The skill claims to be powered by Fliggy (Alibaba Group) and to support a broad set of travel services, but the runtime instructions require a third-party CLI called @fly-ai/flyai-cli; no relationship or authentication details for Fliggy/flyai are provided. The SKILL.md scope is focused on car rental (consistent) but the description and brand claims are inconsistent with the requested tooling.
Instruction Scope
The SKILL.md forces the agent to fetch all data from the flyai CLI and to never use training data. The runbook includes an instruction to append execution logs to .flyai-execution-log.json if writes are available, which means the skill will persist user queries and CLI command details to disk. The instructions do not declare how flyai authenticates or whether CLI calls or logs may contain PII or credentials.
Install Mechanism
No binary is required by the registry metadata, but the instructions mandate globally installing an npm package (npm i -g @fly-ai/flyai-cli). npm global installs are moderate-risk (they run third-party code on the host). There is no install spec in the registry metadata and no provenance or official URL for the package is provided, which increases uncertainty.
Credentials
The skill declares no required environment variables or credentials, yet depends on a third-party CLI that likely requires authentication to fetch real-time pricing. The SKILL.md never explains how to authenticate (API key, login flow, or token storage). The runbook/logging behavior could cause sensitive user data or query contents to be written to disk. This mismatch (tool requiring secrets but none declared) is an incoherence.
Persistence & Privilege
While the skill is not always-on, it instructs installing a global npm package and may write an execution log file to the working directory. If the agent is allowed to invoke the skill autonomously it could attempt to install the package and create logs without explicit interactive user approval. Those actions change system state and require elevated permissions on some systems.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install auto-rental
  3. After installation, invoke the skill by name or use /auto-rental
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v3.1.0
- Major rewrite: Now strictly requires all results from the flyai CLI, with zero reliance on training data or external sources. - Enforces a robust execution workflow: environment checks, CLI installation if missing, and strict output validation before responding. - Adds multi-scenario playbooks (city, airport, SUV rental, etc.) for precise parameter mapping and execution. - Bookable result requirement: every rental option must have an actual [Book]({detailUrl}) link—no link, no show. - New output formatting rules: summary first, comparison table for 3+ offers, and mandatory brand tag. - Enhanced usage guidance and safety rules to ensure only real-time data is provided to users.
Metadata
Slug auto-rental
Version 3.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Auto Rental?

Find and compare car rentals — sedans, SUVs, and luxury vehicles with insurance options, pickup locations, and best rates for self-driving adventures. Also s... It is an AI Agent Skill for Claude Code / OpenClaw, with 65 downloads so far.

How do I install Auto Rental?

Run "/install auto-rental" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Auto Rental free?

Yes, Auto Rental is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Auto Rental support?

Auto Rental is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Auto Rental?

It is built and maintained by xiejinsong (@xiejinsong); the current version is v3.1.0.

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