Plan Dubai Travel — Flights, Hotels, Burj Khalifa, Desert Safari, Malls & Itineraries

Plan your Dubai experience — Burj Khalifa views, desert safari adventures, Dubai Mall shopping, Palm Jumeirah resorts, and gold souk bargaining. Also support...

Security Scan

The skill's runtime instructions require installing and running an external CLI and writing execution logs, but the manifest omits the CLI/install spec and contains a few mismatches (e.g., Fliggy mention vs. flyai CLI); these inconsistencies and the global npm install/write-to-disk behavior warrant caution.

Purpose & Capability

The SKILL.md clearly requires the @fly-ai/flyai-cli and mandates that every answer come from its output; however the top-level registry metadata lists no required binaries or install spec. Additionally the description mentions "Powered by Fliggy (Alibaba Group)" while the instructions exclusively use the flyai CLI — this is a mismatch that could indicate sloppy packaging or false branding. A consumer would reasonably expect the manifest to declare the flyai CLI as a required binary or include an install step.

Instruction Scope

The instructions force the agent to (a) install/run an external CLI (npm i -g @fly-ai/flyai-cli) if absent, (b) never answer from training data, (c) rely strictly on CLI JSON outputs and include booking links, and (d) maintain an internal execution log that may be written to disk (.flyai-execution-log.json). The runbook's recommended persistent log can capture full user_query and other data (potentially sensitive/PII). There are no instructions to redact or limit what's logged.

Install Mechanism

This is an instruction-only skill (no install spec in registry), but the runtime instructions tell the agent to perform a global npm install of @fly-ai/flyai-cli. Installing an npm package globally at runtime is a moderate-risk action: the package source (npm registry/package owner) is not documented in the skill metadata and therefore not verified by the registry. The absence of a declared install spec in the registry is an inconsistency and reduces auditability.

Credentials

The skill does not request environment variables, credentials, or config paths in the registry metadata. The runtime steps also do not demand secrets. However, the execution log will capture the user_query and parameter values (which could include personal data) if persisted — the skill does not require or request secrets but may store user inputs.

Persistence & Privilege

The skill is not marked always:true and does not request elevated system privileges. It does, however, instruct the agent to create a persistent execution log and suggests appending it to a file in the working directory if filesystem writes are available. That behavior increases persistence of user queries locally and could escalate privacy risk if the environment is shared or backed up.

What to consider before installing

This skill is plausibly a genuine travel-planning wrapper around a third‑party CLI, but there are a few red flags: (1) the registry metadata omits the required flyai CLI even though the skill insists it must be installed and used; (2) it instructs the agent to run a global npm install (@fly-ai/flyai-cli) at runtime — you should only allow that if you trust the package/publisher; (3) the runbook suggests writing an execution log (.flyai-execution-log.json) that can contain your raw queries and parameters (possible PII). Before installing/use, consider: verify the npm package and publisher on the npm registry (review package code and maintainer), run the skill in a sandboxed environment (or container) so global installs and file writes are isolated, ask the skill author to add an explicit install spec and to document what is logged and for how long, and ensure any persisted logs are stored securely or disabled if you handle sensitive data. If you cannot verify the flyai CLI or do not want local persistence of conversation data, do not install or run this skill.

⚠️ 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.

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Skill: dubai-travel

Overview

Plan your Dubai experience — Burj Khalifa views, desert safari adventures, Dubai Mall shopping, Palm Jumeirah resorts, and gold souk bargaining.

When to Activate

User query contains:

• English: "Dubai", "Burj Khalifa", "desert safari", "Palm Jumeirah"
• Chinese: "迪拜", "哈利法塔", "沙漠冲沙", "棕榈岛"

Do NOT activate for: other Middle East destinations

Prerequisites

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

Parameters

This skill orchestrates multiple CLI commands. See each command's parameters below:

search-flight

Parameters

Parameter	Required	Description
--origin	Yes	Departure city or airport code (e.g., "Beijing", "PVG")
--destination	Yes	Arrival city or airport code (e.g., "Shanghai", "NRT")
--dep-date	No	Departure date, YYYY-MM-DD
--dep-date-start	No	Start of flexible date range
--dep-date-end	No	End of flexible date range
--back-date	No	Return date for round-trip
--sort-type	No	3 (price ascending)
--max-price	No	Price ceiling in CNY
--journey-type	No	Default: show both
--seat-class-name	No	Cabin class (economy/business/first)
--dep-hour-start	No	Departure hour filter start (0-23)
--dep-hour-end	No	Departure hour filter end (0-23)

Sort Options

Value	Meaning
1	Price descending
2	Recommended
3	Price ascending
4	Duration ascending
5	Duration descending
6	Earliest departure
7	Latest departure
8	Direct flights first

search-hotel

Parameters

Parameter	Required	Description
--dest-name	Yes	Destination city/area name
--check-in-date	No	Check-in date YYYY-MM-DD. Default: today
--check-out-date	No	Check-out date. Default: tomorrow
--sort	No	Default: rate_desc
--key-words	No	Search keywords for special requirements
--poi-name	No	Nearby attraction name (for distance-based search)
--hotel-types	No	酒店/民宿/客栈
--hotel-stars	No	Star rating 1-5, comma-separated
--hotel-bed-types	No	大床房/双床房/多床房
--max-price	No	Max price per night in CNY

Sort Options

Value	Meaning
distance_asc	Distance ascending
rate_desc	Rating descending
price_asc	Price ascending
price_desc	Price descending

search-poi

Parameters

Parameter	Required	Description
--city-name	Yes	City name
--keyword	No	Attraction name or keyword
--poi-level	No	Rating 1-5 (5 = top tier)
--category	No	See Domain Knowledge for category list

keyword-search

Parameters

Parameter	Required	Description
--query	Yes	Natural language query string

Core Workflow — Multi-command orchestration

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: Full Dubai

Trigger: "Dubai trip"

Flight to DXB + hotel + Burj Khalifa/desert/mall/marina POIs

Output: Complete Dubai experience.

Playbook B: Luxury Dubai

Trigger: "luxury Dubai"

Flight + 5-star Palm Jumeirah resort + premium experiences

Output: Ultra-luxury Dubai.

Playbook C: Budget Dubai

Trigger: "Dubai on budget"

Budget flight + 3-star Deira hotel + free beaches/souks

Output: Affordable Dubai visit.

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 search-flight --origin "Beijing" --destination "Dubai" --dep-date 2026-01-15 --sort-type 3

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.

Dubai: visa on arrival for many nationalities (Chinese: 30-day free visa). Best season: Nov-Mar (20-30°C, pleasant). Summer: 40-50°C (indoor activities only). Currency: AED. Free attractions: Dubai Marina walk, JBR Beach, Dubai Fountain show. Must-do: desert safari (half-day, includes BBQ dinner). Alcohol available in licensed venues only.

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