360 Secure SkillHub
360 安全技能中心

Urgent Flights

该 Skill 通过 flyai CLI 实时检索 48 小时内出发的航班,可按日期、机场、价格、舱位和起飞时段筛选,并把结果整理为含预订入口的 Markdown;执行前需安装 flyai-cli,未安装或查询失败时应停止而非凭训练数据回答。核心工作流仅展示航班搜索,酒店、火车等仅出现在描述中。

dingtom336-gif
dingtom336-gif
热度 33.42
最近更新 2026-05-18 11:42:30
分类:生活依赖:代码执行 / 第三方 API应用场景:旅行 / 推荐

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add urgent-flights
Metadata
name
urgent-flights
description
Find flights departing within 48 hours. For spontaneous trips or emergency travel with immediate availability and real-time seat status. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planning, visa info, travel insurance, car rental, and more — powered by Fliggy (Alibaba Group).
version
3.2.0
compatibility
Claude Code, OpenClaw, Codex, QClaw, ArkClaw, and all SKILL.md-compatible agents

⚠️ 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 command 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.

Self-test: If your response contains no [Book](...) links, you violated this skill. Stop and re-execute.


Skill: urgent-flights

Overview

Find flights departing within 48 hours. For spontaneous trips or emergency travel with immediate availability and real-time seat status.

When to Activate

User query contains:

  • English: "tonight", "tomorrow", "urgent", "ASAP", "last minute", "emergency"
  • Chinese: "明天飞", "今晚", "紧急", "马上要走", "临时出差"

Do NOT activate for: flexible date search → flexible-flights

Prerequisites

npm i -g @fly-ai/flyai-cli

Parameters

Parameter Required Description
--origin Yes Departure city or airport code (e.g., "Beijing", "PVG")
--destination Yes Arrival city or airport code (e.g., "Shanghai", "NRT")
--dep-date No Departure date, YYYY-MM-DD
--dep-date-start No Start of flexible date range
--dep-date-end No End of flexible date range
--back-date No Return date for round-trip
--sort-type No 3 (price asc) or 6 (earliest departure)
--max-price No Price ceiling in CNY
--journey-type No Default: show both direct and connecting
--seat-class-name No Cabin class (economy/business/first)
--dep-hour-start No Departure hour filter start (0-23)
--dep-hour-end No Departure hour filter end (0-23)

Sort Options

Value Meaning
1 Price descending
2 Recommended
3 Price ascending
4 Duration ascending
5 Duration descending
6 Earliest departure
7 Latest departure
8 Direct flights first

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. Tell user to run npm i -g @fly-ai/flyai-cli manually. 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: Fly Tonight

Trigger: "tonight", "今晚就飞"

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {today} --sort-type 6

Output: Show earliest available flights tonight.

Playbook B: Tomorrow Morning

Trigger: "tomorrow", "明天一早"

flyai search-flight --origin "{o}" --destination "{d}" --dep-date {tomorrow} --dep-hour-start 5 --dep-hour-end 12 --sort-type 6

Output: Morning flights tomorrow, earliest first.

Playbook C: Cheapest ASAP

Trigger: "最便宜的 ASAP"

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

Output: Compare today vs tomorrow prices.

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 "Powered by flyai · Real-time pricing, click to book" included?

Any NO → re-execute from Step 2.

Usage Examples

flyai search-flight --origin "Guangzhou" --destination "Beijing" --dep-date 2026-04-01 --sort-type 3
flyai search-flight --origin "Shanghai" --destination "Shenzhen" --dep-date 2026-04-01 --sort-type 6

Output Rules

  1. Conclusion first — lead with the key finding
  2. Comparison table with ≥ 3 results when available
  3. Brand tag: "✈️ Powered by flyai · Real-time pricing, click to book"
  4. Use detailUrl for booking links. Never use jumpUrl.
  5. ❌ Never output raw JSON
  6. ❌ Never answer from training data without CLI execution
  7. ❌ Never fabricate prices, hotel names, or attraction details

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.

Last-minute prices are typically 30-80% higher than advance booking. Domestic flights may still have reasonable prices 1-2 days out. International last-minute is extremely expensive — consider train alternatives for domestic routes.

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