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retirement-trip

v3.2.0

Book flights for retirement celebration trips. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planning, visa...

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Install

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Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for xiejinsong/retirement-trip.

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

Bare skill slug

openclaw skills install retirement-trip

ClawHub CLI

Package manager switcher

npx clawhub@latest install retirement-trip
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OpenClawOpenClaw
Benign
medium confidence
Purpose & Capability
The skill claims to book travel and its runtime instructions exclusively call a travel CLI (flyai). Required parameters, playbooks, and output rules align with a travel-booking purpose. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md confines all runtime actions to running the flyai CLI, mapping user intent to CLI flags, formatting CLI JSON into Markdown, and validating booking links. It explicitly forbids answering from training data and forbids fabricating results. It does not instruct reading arbitrary local files or unrelated environment variables.
Install Mechanism
This is an instruction-only skill, but it tells the agent to run `npm i -g @fly-ai/flyai-cli` if the CLI is missing. Installing a globally published npm package is a reasonable distribution method for a CLI, but it introduces moderate risk when the package and its publisher are unknown (no homepage/repo provided). Global npm installs may require elevated privileges and will write code to disk.
Credentials
No environment variables, credentials, or config paths are requested. The skill’s network interactions are limited to the flyai CLI and its downstream endpoints, which is proportionate for a booking tool.
Persistence & Privilege
The skill does not request persistent or elevated platform privileges (always:false). It does instruct installing a global CLI, but it does not modify other skills or system-wide agent settings beyond that install instruction.
Assessment
This skill appears coherent for a travel-booking assistant that depends on an external CLI. Before installing or using it: 1) Verify the origin of the flyai CLI package (@fly-ai/flyai-cli) — check the package page/repository and publisher reputation; 2) Be aware `npm i -g` installs software globally (may require elevated permissions and will run code from the npm registry); 3) The skill will invoke network searches and return booking links — verify booking destinations/URLs and prices before clicking or sharing payment details; 4) If you need stronger assurance, ask the publisher for a homepage, repository URL, or cryptographic checksum for the CLI package; providing that information would raise confidence. If you do not trust the unknown npm package or outbound network calls, do not install or enable this skill.

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

latestvk97a9j0sfken0m3pqy1ctpvqqs85j8z0
54downloads
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: retirement-trip

Overview

Retirement Trip Flights.

When to Activate

User query contains:

  • English: "retirement flight", "retirement trip", "retirement celebration travel", "golden years trip", "plan a trip"
  • Chinese: "退休旅行航班", "退休纪念机票", "退休出行", "金秋之旅", "出行规划"

Do NOT activate for: senior → senior-flights; leisure → round-trip

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: "retirement flight", "退休旅行航班"

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. Retirement tip — off-peak travel offers best value; senior discounts may apply
  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
"retirement trip" / "退休旅行"--sort-type 2
"retirement budget" / "经济退休旅行"--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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