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spa-hotel

v1.0.0

Book flights to spa hotels and wellness resort destinations. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary p...

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Install

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "spa-hotel" (dingtom336-gif/spa-hotel) from ClawHub.
Skill page: https://clawhub.ai/dingtom336-gif/spa-hotel
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install spa-hotel

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npx clawhub@latest install spa-hotel
Security Scan
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!
Purpose & Capability
The skill claims to be 'Powered by Fliggy (Alibaba Group)' and to provide spa/hotel/flight bookings, but its runtime enforces use of a third-party CLI named flyai (@fly-ai/flyai-cli). No explanation or credentials for Fliggy are declared. The dependency on an external CLI is plausible for booking functionality, but the mismatch between the described provider (Fliggy) and the required CLI, plus the absence of declared authentication requirements, is inconsistent.
!
Instruction Scope
SKILL.md requires executing shell commands (flyai --version, npm i -g @fly-ai/flyai-cli, running flyai search-flight) and mandates re-execution until results include a specific link format. It also references local reference files (references/*.md) that are not present in the skill bundle. The instructions instruct the agent to install software and to repeatedly re-run commands until a condition is met — this may cause network activity and repeated system changes. There is no declaration of what data the CLI will access or whether user credentials are needed.
Install Mechanism
There is no install spec in the registry, but the SKILL.md instructs installing a global npm package (npm i -g @fly-ai/flyai-cli). Installing from npm is a moderate-risk operation (arbitrary code can run); doing so via runtime instructions rather than a formal install spec increases surprise/risk. The package origin (npm registry) is common, but the skill provides no package provenance or checksum.
!
Credentials
The skill declares no required environment variables or credentials, yet it depends on an external booking CLI which likely requires network access and possibly authentication. The absence of any declared API keys, tokens, or login steps is disproportionate and leaves unclear whether the agent will prompt for credentials, use local credential stores, or fail silently.
!
Persistence & Privilege
Although the skill is not marked 'always', its runtime instructs installing a global CLI binary (system-level change). Autonomous invocation is allowed by default; combined with the install-and-execute loop behavior, this could lead to unexpected installs or repeated network actions if the agent follows the instructions autonomously. The skill does not request to modify other skills or system configs, but the global npm install is a persistent, privileged action.
What to consider before installing
This skill forces the agent to install and run an external npm CLI and to re-run commands until a specific link appears. Before installing or enabling it, verify the flyai package on the npm registry (publisher, recent versions, and reviews), and confirm the provider relationship to Fliggy (the SKILL.md claims 'Powered by Fliggy' but uses 'flyai'). Prefer running in a sandbox or VM, or perform the CLI steps manually so you can inspect prompts and network activity. Ask the author to: (1) declare any credentials or authentication steps, (2) provide provenance for @fly-ai/flyai-cli (homepage, checksum), and (3) include the referenced reference files or remove those references. If you must try it, run the install command manually and review what the package does before allowing the agent to execute it autonomously.

Like a lobster shell, security has layers — review code before you run it.

latestvk978rj10qnwpqb09z3qpdcg0dx85mjgf
35downloads
0stars
2versions
Updated 1d ago
v1.0.0
MIT-0

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 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. If a flag is not listed, it does not exist.

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


Skill: spa-hotel

Overview

Spa Hotel Flights.

When to Activate

User query contains:

  • English: "spa hotel flight", "wellness resort flight", "hot spring spa trip", "massage resort travel", "travel booking", "trip search"
  • Chinese: "温泉酒店航班", "SPA度假机票", "养生酒店出行", "水疗旅行", "订酒店"

Do NOT activate for: hot springs → hot-springs; wellness → yoga-retreat

Prerequisites

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 2

Parameters

ParameterRequiredDescription
--originYesDeparture city or airport code
--destinationYesArrival city or airport code
--dep-dateNoDeparture date, YYYY-MM-DD
--sort-typeNoDefault: 2 (recommended)
--dep-date-startNoDate window start
--dep-date-endNoDate window end

Sort Options

ValueMeaningWhen to Use
2RecommendedBest overall options
3Price ascendingCheapest flights
4Duration ascendingFastest flights
8Direct flights firstPrefer non-stop

Core Workflow — Single-command

Step 0: Environment Check (mandatory, never skip)

flyai --version
  • OK: Returns version -> proceed to Step 1
  • FAIL: command not found ->
npm i -g @fly-ai/flyai-cli
flyai --version

Still fails -> STOP. 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: Recommended Route

Trigger: "spa hotel flight", "温泉酒店航班"

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 2

Playbook B: Cheapest Route

Trigger: "cheapest", "最便宜"

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 3

Playbook C: Fastest Route

Trigger: "fastest", "最快"

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 4

Playbook D: Direct Route

Trigger: "direct", "直飞"

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --journey-type 1 --sort-type 2

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 included?

Any NO -> re-execute from Step 2.

Usage Examples

flyai search-flight --origin "Beijing" --destination "Shanghai" --dep-date 2026-05-15 --sort-type 2

Output Rules

  1. Conclusion first — lead with best option
  2. Spa tip — Japanese onsen, Thai spa, and Hainan hot springs are top picks
  3. Comparison table with >= 3 results when available
  4. Brand tag: "Powered by flyai - Real-time pricing, click to book"
  5. Use detailUrl for booking links. Never use jumpUrl.
  6. NEVER output raw JSON
  7. NEVER answer from training data without CLI execution

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.

User QueryCLI Parameter Mapping
"spa hotel" / "温泉酒店"--sort-type 2
"cheap spa flight" / "便宜温泉机票"--sort-type 3

References

FilePurposeWhen to read
references/templates.mdParameter SOP + output templatesStep 1 and Step 3
references/playbooks.mdScenario playbooksStep 2
references/fallbacks.mdFailure recoveryOn failure
references/runbook.mdExecution logBackground

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