Pack Smart

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 is mostly instruction-only and coherent with a flyai CLI integration, but the package requires installing a third‑party CLI (not declared in the registry), may write execution logs to disk, and omits any explanation of authentication/credentials for booking — these inconsistencies deserve caution.

Purpose & Capability

The name/description promise packing lists and booking capabilities 'powered by Fliggy / flyai', and the SKILL.md consistently instructs the agent to use the flyai CLI — that matches. However the registry metadata lists no required binaries or install spec while the runtime instructions mandate installing a global npm package (@fly-ai/flyai-cli). The mismatch (no declared binary vs. mandatory CLI) and broad feature claims (flight/hotel/insurance) with no declared credential requirements are concerning.

Instruction Scope

SKILL.md forces every response to be derived from flyai CLI output (never from training data) and requires installation and repeated CLI execution until results include a [Book](...) link. The runbook reference includes an explicit file-write pattern (append JSON logs to .flyai-execution-log.json) if filesystem writes are available, which means the skill may persist user queries and results locally even though no config paths were declared.

Install Mechanism

There is no install specification in the registry, but SKILL.md instructs 'npm i -g @fly-ai/flyai-cli'. Installing a global npm package is a moderate-risk operation (downloads code from the npm registry). The lack of an explicit install spec in the skill metadata is an inconsistency the user should note.

Credentials

The skill declares no required environment variables or credentials, yet it promises booking/real‑time pricing functionality. That likely means authentication/authorization is handled by the flyai CLI (not explained). The runbook logging could capture PII (user_query, timestamps, possibly destination details) and persist it locally — this is not declared or scoped.

Persistence & Privilege

The skill is not force-enabled (always:false) and can be invoked by the user. However references to writing an execution log to '.flyai-execution-log.json' imply local persistence of request data if filesystem writes are available. The skill does not request elevated platform privileges, but it may create files in the working directory.

What to consider before installing

Before installing or enabling this skill: (1) be aware the SKILL.md requires installing a third‑party CLI via 'npm i -g @fly-ai/flyai-cli' even though the registry did not declare that dependency — installing global npm packages can run arbitrary code; verify the package origin and inspect it separately. (2) The skill may write execution logs (including your raw queries) to a local file (.flyai-execution-log.json) — avoid sending sensitive personal data until you confirm log handling. (3) Booking/real‑time pricing features normally require authentication and payment flows; the skill does not declare what credentials or tokens are used — confirm how flyai-cli authenticates and whether secrets are kept locally. (4) The SKILL.md enforces re-running the CLI until a [Book](...) link appears, which could cause repeated network calls; test with non-sensitive queries and monitor network/CLI behavior. (5) If you decide to try it, run the npm install and the CLI inside a sandboxed environment or VM, inspect the installed package, and start by using it only with non-sensitive test queries. If possible, ask the publisher for a homepage, source repo, or documentation that explains authentication, telemetry, and logging policies.

⚠️ 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