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new-job-relocation

v3.2.0

Book flights for new job relocation and job move travel. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary plann...

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

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openclaw skills install new-job-relocation

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npx clawhub@latest install new-job-relocation
Security Scan
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OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
The name/description claim booking and travel planning using the 'flyai' CLI; SKILL.md exclusively instructs running the flyai CLI and formatting its output. Required env vars, config paths, and binaries are none — which is coherent because the skill expects the flyai CLI to be present or installed at runtime.
Instruction Scope
Instructions constrain the agent to gather parameters, run flyai CLI commands, format results, and include booking links. They do not instruct reading unrelated files, harvesting environment variables, or contacting external endpoints outside of the flyai CLI. The strong rule to avoid using training data and to re-run if no booking link exists is restrictive but consistent with the declared purpose.
Install Mechanism
No install spec in the registry (instruction-only). At runtime the skill instructs installing @fly-ai/flyai-cli via 'npm i -g' if the CLI is missing. Installing a global npm package is a reasonable way to obtain a third-party CLI, but it does execute code from the npm registry and requires Node.js and network access — this is moderate-risk compared with an instruction-only workflow and should be verified by the user.
Credentials
The skill requests no environment variables, secrets, or config paths. All parameter inputs are user-provided (origin/destination/date/etc.), which is proportionate to flight search/booking functionality.
Persistence & Privilege
always is false, the skill does not request permanent agent presence, and there are no instructions to modify other skills or global agent configs. Runtime global npm install is the only potentially system-affecting action, but that is limited to installing the flyai CLI.
Assessment
This skill is coherent: it is a wrapper around the third-party 'flyai' CLI and will (if needed) install @fly-ai/flyai-cli from npm at runtime. Before installing/using it, verify the @fly-ai/flyai-cli package on the npm registry (maintainer, popularity, recent releases) and ensure you are comfortable allowing a global npm install on the machine (it requires Node.js and network access). The skill does not ask for any secrets, but it enforces using only CLI results and embedding booking links (so outputs will direct users to flyai booking pages). If you prefer not to install third-party CLIs globally, run this skill in a sandbox or ask the maintainer for an audited binary or REST API alternative.

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

latestvk972s30h280d7w05kzp7szdvz585htw0
43downloads
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: new-job-relocation

Overview

New Job Relocation Flights.

When to Activate

User query contains:

  • English: "relocation flight", "job move flight", "new job travel", "work relocation flight", "relocation travel"
  • Chinese: "入职航班", "工作调动机票", "新工作搬家", "赴任出行", "出行预订"

Do NOT activate for: expat → expat-relocation; one-way → one-way

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)
--seat-class-nameNoeconomy/business
--max-priceNoPrice ceiling in CNY

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: "relocation flight", "入职航班"

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. Relocation tip — ask employer about relocation package; book one-way + extra baggage
  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
"relocation" / "入职出行"--sort-type 2
"cheap relocation" / "便宜入职机票"--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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