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Install in OpenClaw
/install weekend-escape
Description
周末逃跑计划，为都市人提供周五晚出发、周日晚返回的短途旅行方案。当用户说"周末去哪玩""想逃离城市""推荐个短途旅行"或需要周末放松方案时使用此 skill。
Usage Guidance
This skill appears to genuinely implement weekend travel planning, but the SKILL.md depends on a 'flyai' CLI tool (flyai search-flight / search-hotel / search-poi) while the registry metadata declares no required binaries or install steps. Before installing or enabling this skill you should:
- Ask the skill author (or vendor) to clarify what 'flyai' is, where it comes from, and provide a canonical install/source (GitHub release, official package, or package manager). Do not trust an undocumented or private binary source.
- Request an updated manifest that declares required binaries and a safe install mechanism (or remove the flyai dependency and call only well-known APIs).
- Confirm what network endpoints flyai contacts and whether any user data (current location, travel dates, personal identifiers) are transmitted to third parties; get a privacy/dataflow statement.
- If you cannot verify flyai's provenance, treat the skill as untrusted: run it in an isolated environment or refuse to install.
- Consider testing the skill in a constrained environment and verifying its outputs do not leak sensitive info (e.g., your saved credentials or local files).
If the author updates the manifest to explicitly declare 'flyai' as a required and trusted dependency (with install/source), the inconsistency would likely be resolved and this would lean toward benign. Currently the undeclared external-tool dependency is the main unresolved concern.
Capability Analysis
Type: OpenClaw Skill
Name: weekend-escape
Version: 1.0.0
The 'weekend-escape' skill is a travel planning assistant designed to provide weekend trip recommendations and itineraries. It utilizes the 'flyai' tool to perform legitimate searches for flights, hotels, and points of interest based on user input. The instructions in SKILL.md and documentation in weekend-escape-intro.md are entirely consistent with the stated purpose and show no signs of data exfiltration, malicious execution, or prompt injection attacks.
Capability Assessment
Purpose & Capability
The skill's stated purpose (weekend travel recommendations) matches the instructions (recommend destinations, build 48-hour plans, query transport/hotels/POI). However, the SKILL.md explicitly uses a 'flyai' CLI (flyai search-flight / search-hotel / search-poi). The registry metadata lists no required binaries, env vars, or install steps. That mismatch — an undeclared external tool the instructions rely on — is disproportionate/unexplained and should be justified.
Instruction Scope
Instructions are narrowly scoped to travel planning and specify concrete commands to query flights, hotels, and POIs using the flyai CLI. They do not request unrelated files or credentials. However, they instruct the agent to contact/search via an external tool (flyai) and to include '预订链接' and images; SKILL.md does not say where flyai comes from or what network endpoints it will call, leaving open what remote services will receive user query data.
Install Mechanism
There is no install spec (instruction-only), which normally lowers risk. But because SKILL.md requires 'flyai' to perform searches, the absence of a declared install or required binary is concerning: either the environment must already have flyai (not guaranteed) or the agent may attempt to obtain/execute it by other means. The missing provenance for the external tool is the main install-related risk.
Credentials
The skill does not request environment variables, credentials, or config paths. All declared requirements are absent, which is consistent with the idea of an instruction-only skill — except for the undeclared flyai dependency noted above. No secrets are requested in the current manifest.
Persistence & Privilege
The skill is not always-enabled and uses default autonomous invocation settings. It does not request persistent system-level changes in the manifest or SKILL.md. No indicators that it will modify other skills or system-wide configs.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install weekend-escape - After installation, invoke the skill by name or use
/weekend-escape - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Weekend Escape v1.0.0: Launch
- Introduces an intelligent short-trip planner for city dwellers, focusing on Friday evening departures and Sunday night returns.
- Recommends 2–3 destinations based on city, preferences, and distance (2h/3–4h/flight range).
- Provides categorized themes: nature, culture, food, active sports, relaxation.
- Generates detailed 48-hour itineraries including transport, hotels, attractions, and food recommendations.
- Includes practical checklists, Plan B alternatives, seasonal picks, and a surprise "blind box" mode.
- Features clear table outputs and friend-sharing highlights.
Metadata
Frequently Asked Questions
What is weekend-escape?
周末逃跑计划，为都市人提供周五晚出发、周日晚返回的短途旅行方案。当用户说"周末去哪玩""想逃离城市""推荐个短途旅行"或需要周末放松方案时使用此 skill。 It is an AI Agent Skill for Claude Code / OpenClaw, with 81 downloads so far.
How do I install weekend-escape?
Run "/install weekend-escape" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is weekend-escape free?
Yes, weekend-escape is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does weekend-escape support?
weekend-escape is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created weekend-escape?
It is built and maintained by 厉云涵 (@yunhanli7); the current version is v1.0.0.
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