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sabbatical-travel

v3.2.0

Book flights for sabbatical and long-break travel. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planning, v...

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byYangki Zhang@ivan97

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "sabbatical-travel" (ivan97/sabbatical-travel) from ClawHub.
Skill page: https://clawhub.ai/ivan97/sabbatical-travel
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.

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Purpose & Capability
The skill's runtime flow (always run the 'flyai' CLI to produce booking links) aligns with a flight-booking purpose. However the descriptive text claims 'powered by Fliggy (Alibaba Group)' while all execution rules and brand tags use 'flyai'/'flyai-cli' — this brand/source mismatch is unexplained. The package owner/homepage for the skill is unknown and there's no external homepage or repository to verify the claimed provider.
Instruction Scope
SKILL.md limits actions to installing/verifying the flyai CLI, collecting minimal travel parameters, running specific flyai search commands, formatting CLI JSON, and ensuring a booking link is present. It does not instruct reading unrelated files or environment variables, nor does it direct data to unexpected endpoints in the instructions themselves.
Install Mechanism
There is no formal install spec, but SKILL.md instructs installing an npm package globally (npm i -g @fly-ai/flyai-cli) if the CLI is absent. Requesting a global npm install is a moderate risk because it runs third-party code on the host; that is proportionate to the described functionality but should be verified (check the npm package, maintainer, and package contents) before allowing the agent to run it automatically.
Credentials
The skill declares no required environment variables, credentials, or config paths and its instructions do not reference any secrets or unrelated env vars. That is proportionate for a CLI-driven search/booking skill.
Persistence & Privilege
The skill does not request always:true, does not modify other skill configs, and is instruction-only. It can invoke autonomously (platform default) but nothing in the skill requests elevated persistence or cross-skill config changes.
What to consider before installing
This skill appears to work by calling an external CLI (flyai) to produce live flight search results and booking links, which is reasonable for a travel-booking skill — but there are a few things to check before installing or letting it run automatically: - Brand/source mismatch: the description claims 'Fliggy (Alibaba Group)' while the runtime uses 'flyai' and the SKILL has no homepage or source repository. Ask the publisher to explain this mismatch or provide a verifiable upstream (npm page, GitHub repo, or official Fliggy integration docs). - Global npm install: the skill will run `npm i -g @fly-ai/flyai-cli` if the CLI is missing. A global npm install executes third-party code on your system. Verify the npm package (review its maintainer, homepage, and package contents) before allowing automatic installation. Consider installing on a sandbox or testing environment first. - Network effects: the CLI and npm install will contact external servers. If you cannot trust the third-party package or its maintainer, do not allow the agent to perform the install. - Booking flow & credentials: the skill doesn't declare required credentials, but the flyai CLI or booking flow may later prompt for or require account credentials/payment info. Confirm where bookings are completed and what credentials are required. If you decide to proceed: request the skill author/publisher provide a homepage or source repo (and an authoritative statement about Fliggy vs. flyai), manually inspect the @fly-ai/flyai-cli package on npm or GitHub, and prefer manual installation/verification instead of letting the agent run a global npm install automatically.

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

latestvk9798khxdbks1dgk1jmff7n44x85mvse
31downloads
0stars
1versions
Updated 1d 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: sabbatical-travel

Overview

Sabbatical Travel Flights.

When to Activate

User query contains:

  • English: "sabbatical flight", "career break flight", "long break travel", "gap year flight", "sabbatical travel"
  • Chinese: "间隔年航班", "休假旅行机票", "长假出行", "职业间隔旅行", "出行预订"

Do NOT activate for: long trip → week-trip; backpacker → budget-backpacker

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: 3 (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: "sabbatical flight", "间隔年航班"

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 3

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 3

Output Rules

  1. Conclusion first — lead with best option
  2. Sabbatical tip — round-the-world tickets offer best value for long trips
  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
"sabbatical" / "间隔年出行"--sort-type 3
"sabbatical round" / "间隔年往返"--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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