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Quick Getaway
by
xiejinsong
· GitHub ↗
· v3.2.0
· MIT-0
73
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Install in OpenClaw
/install quick-getaway
Description
Plan a complete 3-day, 2-night trip — optimal pacing with morning activities, afternoon exploration, and evening dining experiences. Also supports: flight bo...
Usage Guidance
This skill is internally consistent for planning a 3-day trip, but exercise caution before installing or letting an agent install the required CLI. Key checks: 1) Verify the @fly-ai/flyai-cli package and publisher on npm (or prefer manual installation) and confirm it is an official Fliggy/Alibaba tool if you care about provenance. 2) Be aware the skill asks the agent to run npm i -g (global install) — that executes remote code. 3) The skill may write an execution log (.flyai-execution-log.json) containing your queries/parameters; if this is sensitive, run in a sandbox or disable log persistence. 4) If you do not trust the CLI/publisher or cannot review the package, decline to install and ask the agent to provide guidance that does not depend on the external CLI.
Capability Analysis
Type: OpenClaw Skill
Name: quick-getaway
Version: 3.2.0
The skill bundle mandates the automatic global installation of an external NPM package (@fly-ai/flyai-cli) and performs file system writes for logging, which are high-risk operations. The instructions in SKILL.md and references/fallbacks.md aggressively steer the agent to bypass its internal knowledge and execute shell commands to install and run the CLI tool. While these actions are aligned with the stated purpose of a travel planner, the auto-installation of global software without explicit user consent is a significant security risk that could be exploited for remote code execution or supply chain attacks.
Capability Assessment
Purpose & Capability
Name/description (3-day trip planning, booking links, Fliggy integration) align with the SKILL.md: it consistently instructs the agent to use a travel-focused CLI (flyai) for flights, hotels, POIs, and booking links.
Instruction Scope
All runtime instructions are directive and self-contained: they require using the flyai CLI for all data, enforce that every result include a booking link, and forbid using training data. This is strict but consistent with a realtime-booking integration. However, the 'never use training data' rule and the enforced re-execution/self-test could cause repeated CLI calls or loops if the CLI fails or returns partial data.
Install Mechanism
The SKILL.md instructs installing @fly-ai/flyai-cli globally via npm (npm i -g @fly-ai/flyai-cli). Installing a global npm package executes remote code from the npm registry — a reasonable approach for a CLI dependency but higher-risk without an official source/metadata or homepage. The skill registry metadata lacks a homepage or verifiable publisher, increasing the risk of installing an untrusted CLI.
Credentials
The skill does not request environment variables, credentials, or access to unrelated services. That is proportionate to a client-side CLI-driven travel planner.
Persistence & Privilege
The runbook suggests appending execution logs to .flyai-execution-log.json if filesystem writes are available. Writing local logs is plausible for an execution trace, but it may persist sensitive user queries or parameters on disk without explicit user consent.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install quick-getaway - After installation, invoke the skill by name or use
/quick-getaway - Provide required inputs per the skill's parameter spec and get structured output
Version History
v3.2.0
quick-getaway v3.2.0 — Major overhaul for increased reliability and strict real-time data sourcing.
- Trip planning workflow now strictly executes CLI commands; never answers from training data.
- All results must include [Book]({detailUrl}) links; otherwise, output is invalid and not shown.
- Enhanced parameter collection and error handling—asks user for missing details as needed.
- Fully supports Fliggy (Alibaba Group) for flights, hotels, attractions, visas, insurance, car rental, and more via CLI.
- New output/formatting rules: lead with conclusion, use comparison tables, enforce branding tag.
- Updated compatibility and scenario playbooks for seamless experience across supported agents.
Metadata
Frequently Asked Questions
What is Quick Getaway?
Plan a complete 3-day, 2-night trip — optimal pacing with morning activities, afternoon exploration, and evening dining experiences. Also supports: flight bo... It is an AI Agent Skill for Claude Code / OpenClaw, with 73 downloads so far.
How do I install Quick Getaway?
Run "/install quick-getaway" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Quick Getaway free?
Yes, Quick Getaway is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Quick Getaway support?
Quick Getaway is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Quick Getaway?
It is built and maintained by xiejinsong (@xiejinsong); the current version is v3.2.0.
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