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border-flight

v3.2.0

Search cross-border flights, international departures and visa-required routes with overseas travel booking. Also supports: flight booking, hotel reservation...

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Install

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Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for dingtom336-gif/border-flight.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "border-flight" (dingtom336-gif/border-flight) from ClawHub.
Skill page: https://clawhub.ai/dingtom336-gif/border-flight
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

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openclaw skills install border-flight

ClawHub CLI

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npx clawhub@latest install border-flight
Security Scan
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OpenClawOpenClaw
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medium confidence
Purpose & Capability
The name/description describe cross-border flight search and booking which aligns with the CLI-focused instructions. However the SKILL.md claims 'powered by Fliggy (Alibaba Group)' while every runtime command references a different tool ('flyai' / npm package @fly-ai/flyai-cli). That branding mismatch is unexplained and creates doubt about the actual data/service provider.
!
Instruction Scope
The SKILL.md mandates always obtaining all data from the flyai CLI and forbids answering from training data. It instructs the agent to install flyai-cli if missing and to re-execute until validation rules (e.g., presence of [Book](...) links) pass. The runbook also instructs writing execution logs (including raw user_query) to .flyai-execution-log.json if filesystem writes are available. These behaviors expand scope beyond simple search: they cause filesystem writes (potentially containing PII), repeated network calls, and can create retry loops. The instructions also require strict use of CLI-only outputs, which is coherent for a realtime search tool but the mandated re-execution behavior and logging are risky and not fully justified.
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Install Mechanism
There is no declared install spec, yet the runtime instructions explicitly tell the agent to run `npm i -g @fly-ai/flyai-cli` if the CLI is missing. That means the skill expects the agent to perform a global npm install at runtime (arbitrary code download/execute from npm). This is a non-declared installation step and increases attack surface because the skill can cause arbitrary third-party code to be installed globally.
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Credentials
The skill declares no required environment variables or credentials, but the flyai CLI it relies on will likely require network access and possibly authentication to book/search. The SKILL.md does not explain how authentication is handled or where credentials should be stored. The runbook's persistent log will record user_query and command outcomes locally, which can include personal data; that persistence is not justified or limited by the skill's declared requirements.
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Persistence & Privilege
always:false (good), but the skill instructs global npm installation and writing a persistent execution log file in the working directory. Global npm installs are elevated in scope compared to an instruction-only skill and filesystem logging may persist sensitive queries. The SKILL.md's re-execution requirement (retry until each result has a [Book](...) link) could result in repeated CLI calls and installs, increasing resource/network use and blast radius.
What to consider before installing
This skill is plausibly a flight-search/booker, but exercise caution. Before installing/using it: 1) Verify the origin of the flyai CLI package (@fly-ai/flyai-cli) — inspect its npm page and source code to ensure it's legitimate; don't blindly run a global npm install. 2) Note the branding mismatch (Fliggy vs flyai) and ask the publisher which provider is actually used. 3) Expect the agent to perform network calls and possibly require separate credentials for the CLI — confirm how authentication is handled and where secrets are stored. 4) The skill will log queries to .flyai-execution-log.json; if this may contain personal data, run the skill in a sandboxed environment or disable/inspect logging. 5) The SKILL.md mandates re-execution until booking links appear — this can cause repeated installs/requests; monitor for excessive network or CPU use. If you cannot verify the flyai CLI's trustworthiness and behavior, avoid installing the package globally and prefer testing in an isolated VM/container.

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

latestvk9748yrfxvn9csp05mp01fq8dn85eqdn
55downloads
0stars
1versions
Updated 3d 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: border-flight

Overview

Cross-border flights — international departures, visa-required routes, overseas travel. For travelers flying internationally across borders.

When to Activate

User query contains:

  • English: "border flight", "cross-border flight", "international departure", "overseas flight", "visa-required flight", "outbound flight"
  • Chinese: "跨境航班", "国际航班", "出境航班", "出国机票", "海外航班", "出港航班"

Do NOT activate for: domestic flights → economy-flights; connecting flights → connecting

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)
--journey-typeNo1=direct, 2=connecting
--max-priceNoPrice ceiling in CNY
--dep-date-startNoDate range start
--dep-date-endNoDate range end

Sort Options

ValueMeaningWhen to Use
2RecommendedDefault — best international options
3Price ascendingBudget international travel
4Duration ascendingFastest international route
8Direct flights firstPrefer non-stop international

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. 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 International Route

Trigger: "international flight", "国际航班"

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {date} --sort-type 2

Output: Recommended international flights.

Playbook B: Budget International Travel

Trigger: "cheap international flight", "便宜国际机票"

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

Output: Cheapest international flights within date range.

Playbook C: Direct International Flight

Trigger: "direct international flight", "国际直飞"

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {date} --journey-type 1 --sort-type 2

Output: Direct international flights.

Playbook D: Broad Search (no international flights found)

Trigger: Playbook A/B/C returns 0 results.

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {date} --sort-type 2
flyai keyword-search --query "{origin} to {destination} international flights"

Output: Broader search + keyword fallback.

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 "Shanghai" --destination "Tokyo" --dep-date 2026-06-01 --sort-type 2

Output Rules

  1. Conclusion first — lead with best international option
  2. Visa reminder — note visa requirements for the destination country
  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
  8. ❌ Never fabricate visa policies or entry requirements

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
"international flight" / "国际航班"--sort-type 2
"cheap overseas" / "便宜出国"--sort-type 3 with date range
"direct international" / "国际直飞"--journey-type 1 --sort-type 8
"outbound flight" / "出境航班"--sort-type 2

Major Chinese international hubs: PEK, PVG, CAN, SZX, CTU. CLI does not have a border/customs filter — all results are regular flights.

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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