Create Packing Lists — Trip Packing Checklist, Luggage Essentials, Travel Gear & What to Pack

Get a customized packing list based on your destination, season, trip type, and activities. Never forget essentials again. Also supports: flight booking, hot...

Security Scan

The skill mostly matches a packing-list purpose but contains several unexplained or risky instructions (installing an unverified global npm CLI, implicit local logging, and contradictory fallbacks) that warrant caution before installing or using it with sensitive data.

Purpose & Capability

The name/description focus on packing lists and real-time booking links; requiring a live CLI (flyai) to fetch results is plausible. However the metadata has no source/homepage, and the description advertises broad booking capabilities beyond the simple packing-list playbooks, which is an area to confirm with the author.

Instruction Scope

SKILL.md forces the agent to install and call a third-party CLI and to never answer from training data; yet references/fallbacks.md allows using domain knowledge as a fallback in some cases — this is a contradiction. The runbook shows the agent may persist raw user_query and other logs to a local file (.flyai-execution-log.json) without declaring that file or asking permission, which could capture sensitive user input.

Install Mechanism

Installation is an npm global package (@fly-ai/flyai-cli). Scoped npm packages are common but have moderate risk because they execute arbitrary code from the npm registry. The skill metadata lacks a source/homepage to validate the package identity; that absence increases risk and should be verified before performing a global npm install.

Credentials

The skill doesn't request environment variables or credentials, which is proportionate. However, the runbook instructs writing an execution log including the raw user_query; this implicit local persistence is not declared and could capture credentials or personal data the user enters into queries.

Persistence & Privilege

always:false and normal autonomous invocation are fine. But the runbook's 'Log Persistence' step appends JSON to .flyai-execution-log.json if file writes are available — the skill thus requests the ability to create persistent files locally without declaring the path or asking for consent. That is a notable privilege and potential privacy risk.

What to consider before installing

Before installing or invoking: 1) Verify the @fly-ai/flyai-cli package source — inspect the npm package page and repository (do not blindly run npm i -g). 2) Avoid entering any sensitive personal data (passwords, passport numbers, payment details) into queries because the runbook shows raw queries may be written to a local log file. 3) Ask the skill author to clarify where logs are stored, for how long, and whether data is uploaded off-host. 4) If you must test, do so in a sandboxed environment or VM and use non-sensitive example queries. 5) Prefer skills that publish a homepage/repository and a privacy statement; if those are missing, treat the package as higher risk.

⚠️ 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: packing-list

Overview

Get a customized packing list based on your destination, season, trip type, and activities. Never forget essentials again.

When to Activate

User query contains:

• English: "packing list", "what to pack", "what to bring", "travel essentials"
• Chinese: "带什么", "行李清单", "收拾行李", "旅行必备"

Do NOT activate for: weather → travel-weather

Prerequisites

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

Parameters

Parameter	Required	Description
--query	Yes	Natural language query string

Core Workflow — Single-command

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: General Packing

Trigger: "what to pack"

flyai keyword-search --query "旅行清单 {dest}"

Output: General packing suggestions.

Playbook B: Beach Packing

Trigger: "beach trip packing"

flyai keyword-search --query "海边旅行清单"

Output: Beach-specific packing list.

Playbook C: Winter Packing

Trigger: "cold weather packing"

flyai keyword-search --query "冬季旅行清单"

Output: Cold weather essentials.

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 keyword-search --query "旅行清单 日本"

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.

Universal packing essentials: passport + copies, charger + power bank, universal adapter, medications, toiletries, comfortable walking shoes. Beach: sunscreen, swimsuit, waterproof phone case. Winter: thermal layers, warm jacket, hand warmers. Business: formal wear, laptop, business cards. Carry-on must-haves: change of clothes (in case luggage is lost), valuables, medications.

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