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resort-hotel

v3.2.0

Book flights to resort hotels and all-inclusive vacation destinations. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, i...

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Install

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "resort-hotel" (xiejinsong/resort-hotel) from ClawHub.
Skill page: https://clawhub.ai/xiejinsong/resort-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 resort-hotel

ClawHub CLI

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npx clawhub@latest install resort-hotel
Security Scan
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!
Purpose & Capability
The description claims broad travel capabilities (flights, hotel reservations, trains, attraction tickets, visa info, insurance, car rental), but the SKILL.md and playbooks only contain commands for flight searches (flyai search-flight and a keyword-search). There are no instructions or commands for hotel/train/attraction booking flows or for delivering the other listed capabilities, so the declared scope doesn't match the actual implementation.
!
Instruction Scope
The runtime instructions tightly constrain the agent to always use the flyai CLI and to never answer from training data, which is consistent in intent but contains contradictions: the Parameters table omits flags used elsewhere (e.g., --journey-type, --seat-class-name, --max-price appear in playbooks/templates but not the main Parameter list), while the 'NEVER invent CLI parameters' rule conflicts with playbooks that use flags not listed in the parameter table. The skill also requires every result include a [Book]({detailUrl}) link and forbids raw JSON, which are execution requirements but not harmful by themselves.
Install Mechanism
There is no declared install spec in the registry, but the SKILL.md instructs the agent to run 'npm i -g @fly-ai/flyai-cli' if flyai is missing. Installing a global npm package is a normal way to obtain a CLI, but it executes code from the npm registry and writes to the host environment. The skill does not pin a package version, verify integrity, or provide alternative installation methods (e.g., system package manager), which increases operational risk.
Credentials
The skill does not request environment variables, credentials, or config paths in the manifest. The instructions themselves do not direct the agent to read unrelated secrets. Note: the flyai CLI (once installed) might require or prompt for credentials at runtime, but the skill does not declare or demand any keys.
Persistence & Privilege
The skill is not marked always:true and declares no persistent config changes, but its instructions explicitly tell the agent to perform a global npm install if the CLI is missing. That action would create persistent binaries on the host (and may require elevated permissions), so although the registry shows no install spec, the runtime behavior can modify the system environment.
What to consider before installing
This skill is focused on using an external 'flyai' CLI to return flight-search results — it does not actually implement hotel/train/attraction booking despite claiming those capabilities. Before installing or enabling it: (1) Verify the provenance of the npm package @fly-ai/flyai-cli (who publishes it, package popularity, maintainers, and source repo); (2) Prefer running the install in a controlled environment or sandbox rather than on a production host because 'npm i -g' runs code from the registry and writes to disk; (3) Be aware the SKILL.md forbids using training data and will refuse to answer without the CLI, so failures to install will result in the agent asking you to install the CLI manually; (4) Note the contradictions in documented flags (some flags are used in playbooks but not listed in the parameter table) — this may cause runtime confusion; (5) If you need non-flight features (hotels, trains, attractions), ask the skill author for explicit commands/endpoints or find a skill that documents those capabilities. If you are comfortable verifying the CLI package and installing it in a safe environment, the skill's behavior appears coherent for flight searches; otherwise treat it with caution.

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

latestvk970bx3gfbcxp74aqq05g75ka985kh7p
52downloads
0stars
1versions
Updated 2d ago
v3.2.0
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: resort-hotel

Overview

Resort Hotel Flights.

When to Activate

User query contains:

  • English: "resort flight", "all inclusive flight", "vacation resort flight", "holiday resort travel", "find a hotel"
  • Chinese: "度假村航班", "全包度假机票", "度假酒店出行", "亲子度假村", "订酒店"

Do NOT activate for: luxury → luxury-hotel; beach → beachfront-resort-finder

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: "resort flight", "度假村航班"

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. Resort tip — Sanya, Phuket, and Maldives are top resort destinations
  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
"resort" / "度假村"--sort-type 2
"resort business class" / "度假村商务舱"--seat-class-name business --sort-type 2

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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