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border-flight

作者 dingtom336-gif · GitHub ↗ · v3.2.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install border-flight
功能描述
Search cross-border flights, international departures and visa-required routes with overseas travel booking. Also supports: flight booking, hotel reservation...
使用说明 (SKILL.md)

⚠️ 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

Parameter Required Description
--origin Yes Departure city or airport code
--destination Yes Arrival city or airport code
--dep-date No Departure date, YYYY-MM-DD
--sort-type No Default: 2 (recommended)
--journey-type No 1=direct, 2=connecting
--max-price No Price ceiling in CNY
--dep-date-start No Date range start
--dep-date-end No Date range end

Sort Options

Value Meaning When to Use
2 Recommended Default — best international options
3 Price ascending Budget international travel
4 Duration ascending Fastest international route
8 Direct flights first Prefer 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 Query CLI 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

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
安全使用建议
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.
功能分析
Type: OpenClaw Skill Name: border-flight Version: 3.2.0 The skill bundle facilitates international flight searches via a specific CLI tool (`flyai-cli`). It includes instructions for the agent to automatically install the CLI globally using 'npm i -g @fly-ai/flyai-cli' if it is missing (SKILL.md, fallbacks.md). While this behavior is aligned with the stated purpose, the automated execution of global package installations and shell commands represents a significant security risk (supply chain/RCE) if the package is compromised or if the environment is not isolated.
能力评估
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.
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.
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.
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install border-flight
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /border-flight 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v3.2.0
- Major documentation overhaul: SKILL.md completely rewritten for clarity and strict compliance. - Clear execution workflow and critical rules: now strictly enforces CLI-only data, booking links, and language following. - Comprehensive CLI command playbooks, parameter mapping, and output templates included. - Expanded feature coverage: now explicitly supports booking flights, hotels, trains, attractions, visa info, insurance, and car rental via the Fliggy ecosystem. - Stronger guardrails: prohibits knowledge answers, invented parameters, and missing booking links; adds self-test for output validation. - Compatibility section and troubleshooting guides added.
元数据
Slug border-flight
版本 3.2.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

border-flight 是什么?

Search cross-border flights, international departures and visa-required routes with overseas travel booking. Also supports: flight booking, hotel reservation... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 67 次。

如何安装 border-flight?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install border-flight」即可一键安装,无需额外配置。

border-flight 是免费的吗?

是的,border-flight 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

border-flight 支持哪些平台?

border-flight 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 border-flight?

由 dingtom336-gif(@dingtom336-gif)开发并维护,当前版本 v3.2.0。

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