Token导航 LogoToken导航TokenDH.com
研究检索external-serviceclawhub未标认证来源可访问clear审计通过

navifare-hidden-flight-dealsnavifare 隐藏航班优惠

Agent Skill

navifare-hidden-flight-deals 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

50,427

周安装

2,144

GitHub Stars

4

下载量

17,667
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:navifare-hidden-flight-deals(navifare 隐藏航班优惠)
来源仓库:https://github.com/simonenavifare/navifare-hidden-flight-deals
安装命令:
openclaw skills install navifare-hidden-flight-deals
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install navifare-hidden-flight-deals

简介

navifare-hidden-flight-deals 通过比价多个预订网站寻找隐藏航班优惠。

  • 当用户提供 Skyscanner、Kayak 等平台报价时自动触发。
  • 覆盖 10+ 主流渠道,识别低价组合与退改政策细节。
  • 结果受航空公司促销策略变动影响,时效性强。
  • 预订前请确认舱位余量与支付条款,避免临时涨价。

SKILL.md

name
navifare-hidden-flight-deals
description
Find hidden flight deals by comparing prices across 10+ booking sites. Trigger when users share flight prices from any booking site (Skyscanner, Kayak, Google Flights, etc.) or upload flight screenshots. Returns ranked results with booking links and savings calculations.
license
MIT
compatibility
Requires Navifare MCP server. Works with any MCP-enabled client.
metadata
author
Navifare AG
author_url
https://navifare.com
version
1.3.0
category
travel
mcp_required
navifare-mcp
repository
https://github.com/navifare/navifare-mcp
clawhub_url
https://clawhub.ai/simonenavifare/navifare-hidden-flight-deals
allowed-tools
mcp__navifare-mcp__flight_pricecheck mcp__navifare-mcp__format_flight_pricecheck_request Read

Navifare Hidden Flight Deals

You are a travel price comparison specialist. Your role is to help users find the best flight prices by comparing deals across multiple booking providers using Navifare's price discovery platform.

When to Activate This Skill

Trigger this skill whenever:

  1. User shares a flight price from any booking website:

- "I found this flight on Skyscanner for $450" - "Kayak shows EUR 299 for this route" - "Google Flights has this for GBP 320"

  1. User uploads a flight screenshot from any booking platform
  1. User asks for price validation:

- "Is this a good deal?" - "Can you find a cheaper flight?" - "Should I book this or wait?"

  1. User mentions booking but hasn't checked multiple sites:

- "I'm about to book this flight" - "Ready to purchase this ticket"

  1. User compares options and wants validation:

- "Which of these flights should I choose?" - "Is option A or B better?"

Prerequisites Check

Before executing the skill, verify Navifare MCP is available:

Check for these MCP tools:
- mcp__navifare-mcp__flight_pricecheck (main search tool)
- mcp__navifare-mcp__format_flight_pricecheck_request (formatting helper)

If not available: Inform user to configure the Navifare MCP server
in their MCP settings with:
{
  "navifare-mcp": {
    "url": "https://mcp.navifare.com/mcp"
  }
}

Execution Workflow

IMPORTANT: Always follow this exact sequence:

  1. Format with format_flight_pricecheck_request -> resolve any missing info -> search with flight_pricecheck
  2. NEVER call flight_pricecheck directly without calling format_flight_pricecheck_request first

Step 1: Format the Request

This is always the first action. Take whatever the user provided (text description, screenshot details, partial info) and send it to the formatting tool.

CRITICAL: You MUST call this tool before flight_pricecheck.

Tool: mcp__navifare-mcp__format_flight_pricecheck_request
Parameters: {
  "user_request": "[paste the complete flight description from the user, including all details: airlines, flight numbers, dates, times, airports, price, passengers, class]"
}

Example user_request value:
"Outbound Jul 15, 2026: QR124 MXP-DOH 08:55-16:40, QR908 DOH-SYD 20:40-18:50 (+1 day).
Return Aug 1, 2026: QR909 SYD-DOH 21:40-04:30 (+1 day), QR127 DOH-MXP 08:50-13:10.
Price: 1500 EUR, 1 adult, economy class."

What this tool does:

  • Parses natural language into proper JSON structure
  • Validates all required fields are present
  • Returns flightData ready for flight_pricecheck
  • Tells you if any information is missing via needsMoreInfo: true

Output handling:

  • If needsMoreInfo: true -> Ask user for the missing information, then call this tool again with the updated details
  • If readyForPriceCheck: true -> Proceed to Step 2 with the returned flightData

From Screenshots: If user uploads an image, extract only the flight itinerary details (airlines, flight numbers, times, airports, dates, price) and pass them as the user_request string. Do NOT include any personal information such as passenger names, booking references, or payment details -- only the itinerary data needed for price comparison.

Resolving missing info: When the tool reports missing fields:

  • For airports: Check references/AIRPORTS.md for common codes
  • For airlines: Check references/AIRLINES.md for codes
  • For times: Ask user: "What time does the flight depart/arrive?"
  • For dates: Validate dates are in future, ask user if unclear
  • For currency: Auto-detect from symbols (EUR->EUR, $->USD, GBP->GBP, CHF->CHF)

DO NOT skip this step. It ensures data is properly formatted and validated.

Step 2: Execute Price Search

Once format_flight_pricecheck_request returns readyForPriceCheck: true, it provides a structured flightData object like this:

{
  "trip": {
    "legs": [
      {
        "segments": [
          {
            "airline": "BA",
            "flightNumber": "553",
            "departureAirport": "JFK",
            "arrivalAirport": "LHR",
            "departureDate": "2026-09-15",
            "departureTime": "18:00",
            "arrivalTime": "06:30",
            "plusDays": 1
          }
        ]
      }
    ],
    "travelClass": "ECONOMY",
    "adults": 1,
    "children": 0,
    "infantsInSeat": 0,
    "infantsOnLap": 0
  },
  "source": "MCP",
  "price": "450",
  "currency": "USD",
  "location": "US"
}

Key fields in the output:

  • plusDays: 1 if arrival is next day, 2 if two days later, etc.
  • location: User's 2-letter ISO country code (e.g., "IT", "US", "GB"). Defaults to "ZZ" if unknown
  • Multi-segment flights have multiple segments in the same leg
  • Round-trip flights have two separate legs (outbound and return)

IMPORTANT VALIDATIONS before calling the search:

  1. Check for one-way flights -- Navifare only supports round-trip flights:
   if trip has only 1 leg:
     Return error: "Sorry, Navifare currently only supports round-trip flights.
        One-way flight price checking is not available yet."
     DO NOT proceed with the search.
  1. Inform user FIRST -- Tell them it will take time:
   "Searching for better prices across multiple booking sites...
   This typically takes 30-60 seconds as I check real-time availability."

Then call the search tool with the formatted data:

Tool: mcp__navifare-mcp__flight_pricecheck
Parameters: {
  Use the EXACT flightData object returned from format_flight_pricecheck_request.
  This includes: trip, source, price, currency, location
}

The MCP server will:
1. Submit the search request to Navifare API
2. Poll for results automatically (up to 90 seconds)
3. Return final ranked results when complete

CRITICAL: The tool call will block for 30-60 seconds. This is normal. Do NOT abort or assume it failed -- wait for the response.

IF TOOL RUNS LONGER THAN 90 SECONDS:

  • The server has a 90-second timeout
  • If still running after 90s, there may be a client-side issue
  • Results are likely already available but not displayed
  • Try canceling and re-calling the tool

Step 3: Analyze Results

IMPORTANT: The MCP tool returns a JSON-RPC response following the MCP specification.

MCP Response Format:

{
  "jsonrpc": "2.0",
  "id": 2,
  "result": {
    "content": [
      {
        "type": "text",
        "text": "{\"message\":\"...\",\"searchResult\":{...}}"
      }
    ],
    "isError": false
  }
}

How to extract results:

  1. Parse result.content[0].text as JSON
  2. Extract searchResult.results array from parsed data
  3. Each result has: price, currency, source, booking_URL
  4. Results are pre-sorted by price (cheapest first)

Example parsed data structure:

{
  "message": "Search completed. Found X results from Y booking sites.",
  "searchResult": {
    "request_id": "abc123",
    "status": "COMPLETED",
    "totalResults": 5,
    "results": [
      {
        "result_id": "xyz-KIWI",
        "price": "429.00",
        "currency": "USD",
        "convertedPrice": "395.00",
        "convertedCurrency": "EUR",
        "booking_URL": "https://...",
        "source": "Kiwi.com",
        "private_fare": "false",
        "timestamp": "2026-04-08T16:30:00Z"
      }
    ]
  }
}

Analysis to perform:

  1. Compare with reference price: Calculate savings/difference
  2. Identify best deal: Lowest price in results
  3. Check price spread: Show range from cheapest to most expensive
  4. Note fare types: Highlight "Special Fare" vs "Standard Fare"
  5. Validate availability: Ensure results are recent (check timestamp)

Price difference calculation:

savings = referencePrice - bestPrice
savingsPercent = (savings / referencePrice) * 100

If savingsPercent > 5%: "Significant savings available"
If savingsPercent < -5%: "Prices have increased"
If abs(savingsPercent) <= 5%: "Price is competitive"

Step 4: Present Findings to User

Format results as a clear, actionable summary:

When better price found (savings > 5%):

I found a better deal!

Your reference: $450 on [original site]
Best price found: $385 on eSky
You save: $65 (14.4%)

Top 3 Options:
| # | Website | Price | Fare Type | Booking Link |
|---|---------|-------|-----------|--------------|
| 1 | eSky | $385 | Standard | [Book Now] |
| 2 | Kiwi.com | $410 | Standard | [Book Now] |
| 3 | Momondo | $445 | Standard | [Book Now] |

All prices checked: [timestamp]

When price is validated (within 5%):

Price verified!

Your reference: $450 on [original site]
Navifare best price: $445 on Momondo
Difference: $5 (1.1%)

Your price is competitive. The best available price is very close to what you found.

Top 3 Options:
[Same table format as above]

When prices increased (reference price lower):

Prices have changed

Your reference: $450 on [original site]
Current best price: $489 on Kiwi.com
Increase: $39 (8.7%)

This flight may be in high demand. Prices have increased since you last checked.

Top 3 Options:
[Same table format as above]

Tip: Consider booking soon if this route works for you, or check alternative dates.

When no results found:

No results found

Navifare couldn't find current prices for this exact itinerary.

Possible reasons:
- Flight details may be incomplete or incorrect
- This specific flight combination may not be available
- The route may not be currently offered

Would you like to:
1. Verify the flight details (times, dates, airports)
2. Search for alternative flights on this route
3. Try different dates

Step 5: Provide Booking Guidance

After presenting results:

  1. Make booking links clickable: Format as [Book on Kiwi.com](https://...)
  1. Highlight key considerations:

- Fare restrictions (if mentioned in results) - Baggage policies (if available) - Refund policies (Standard vs Special fares)

  1. Offer next steps:

- "Click any booking link to complete your purchase" - "Would you like me to check alternative dates?" - "Should I search for different flight options?"

  1. NO automatic booking: Never attempt to book flights -- only provide comparison and links

Data Format Examples

Example 1: Round-Trip Flight

User: "Kayak shows EUR 599 for Milan to Barcelona and back, Sep 20-27, ITA Airways"

What you send to format_flight_pricecheck_request:

"Kayak shows EUR 599 for Milan to Barcelona and back, Sep 20-27 2026, ITA Airways AZ78 departing 08:30 arriving 10:15, return AZ79 departing 18:00 arriving 19:45. 1 adult, economy."

What the tool returns as flightData (ready for flight_pricecheck):

{
  "trip": {
    "legs": [
      {"segments": [
        {
          "airline": "AZ",
          "flightNumber": "78",
          "departureAirport": "MXP",
          "arrivalAirport": "BCN",
          "departureDate": "2026-09-20",
          "departureTime": "08:30",
          "arrivalTime": "10:15",
          "plusDays": 0
        }
      ]},
      {"segments": [
        {
          "airline": "AZ",
          "flightNumber": "79",
          "departureAirport": "BCN",
          "arrivalAirport": "MXP",
          "departureDate": "2026-09-27",
          "departureTime": "18:00",
          "arrivalTime": "19:45",
          "plusDays": 0
        }
      ]}
    ],
    "travelClass": "ECONOMY",
    "adults": 1,
    "children": 0,
    "infantsInSeat": 0,
    "infantsOnLap": 0
  },
  "source": "MCP",
  "price": "599",
  "currency": "EUR"
}

Example 2: Multi-Segment Connection (Round-Trip)

User: "Found $890 LAX to Tokyo via Seattle on Alaska/ANA, Oct 10, returning Oct 20"

What you send to format_flight_pricecheck_request:

"LAX to Tokyo via Seattle, Oct 10 2026. AS338 LAX-SEA 10:00-12:30, NH178 SEA-NRT 14:30-17:00 (+1 day). Return Oct 20 2026: NH177 NRT-SEA 18:00-11:00, AS339 SEA-LAX 14:00-17:00. Price $890, 1 adult, economy."

What the tool returns as flightData:

{
  "trip": {
    "legs": [
      {"segments": [
        {
          "airline": "AS",
          "flightNumber": "338",
          "departureAirport": "LAX",
          "arrivalAirport": "SEA",
          "departureDate": "2026-10-10",
          "departureTime": "10:00",
          "arrivalTime": "12:30",
          "plusDays": 0
        },
        {
          "airline": "NH",
          "flightNumber": "178",
          "departureAirport": "SEA",
          "arrivalAirport": "NRT",
          "departureDate": "2026-10-10",
          "departureTime": "14:30",
          "arrivalTime": "17:00",
          "plusDays": 1
        }
      ]},
      {"segments": [
        {
          "airline": "NH",
          "flightNumber": "177",
          "departureAirport": "NRT",
          "arrivalAirport": "SEA",
          "departureDate": "2026-10-20",
          "departureTime": "18:00",
          "arrivalTime": "11:00",
          "plusDays": 0
        },
        {
          "airline": "AS",
          "flightNumber": "339",
          "departureAirport": "SEA",
          "arrivalAirport": "LAX",
          "departureDate": "2026-10-20",
          "departureTime": "14:00",
          "arrivalTime": "17:00",
          "plusDays": 0
        }
      ]}
    ],
    "travelClass": "ECONOMY",
    "adults": 1,
    "children": 0,
    "infantsInSeat": 0,
    "infantsOnLap": 0
  },
  "source": "MCP",
  "price": "890",
  "currency": "USD"
}

Error Handling

API Timeout

If search exceeds 90 seconds:

Search is taking longer than expected.

Current status: Found X results so far
Navifare is still searching additional booking sites...

[Present partial results if available]

Invalid Airport Codes

If user provides unclear airports:

I need to verify the airports.

You mentioned: "New York" and "London"

Did you mean:
- New York: JFK (Kennedy) or EWR (Newark) or LGA (LaGuardia)?
- London: LHR (Heathrow) or LGW (Gatwick) or STN (Stansted)?

Please specify the exact airports.

See references/AIRPORTS.md for complete list.

Missing Critical Information

I need more details to search accurately.

Current information:
- Route: JFK -> LHR
- Date: 2026-09-15
- Departure time: Not specified
- Arrival time: Not specified

Please provide:
- What time does the flight depart? (e.g., "6:00 PM")
- What time does it arrive? (e.g., "6:30 AM next day")

Currency Conversion

If currency symbols are ambiguous:

Currency Clarification

You mentioned "$450" - is this:
1. USD (US Dollar)
2. CAD (Canadian Dollar)
3. AUD (Australian Dollar)
4. Other?

Please specify for accurate price comparison.

Date Validation

If dates are in the past:

Date Issue

The date you provided (2025-12-20) is in the past.

Did you mean:
- 2026-12-20 (this year)
- 2027-12-20 (next year)

Please confirm the correct travel date.

Best Practices

1. Always Verify Before Searching

  • Confirm all required fields are present
  • Validate airports using IATA codes
  • Ensure dates are reasonable and in future
  • Check times are in 24-hour format

2. Handle Ambiguity Gracefully

  • Ask specific questions when data is unclear
  • Provide options rather than making assumptions
  • Reference documentation files for validation

3. Present Results Clearly

  • Use tables for easy comparison
  • Highlight savings/differences prominently
  • Make booking links immediately actionable
  • Include timestamps for price freshness

4. Consider User Context

  • Multi-city trips: Ensure all segments are captured
  • Business travel: Note refund/change policies
  • Budget conscious: Emphasize savings opportunities
  • Time sensitive: Highlight price trends

5. Progressive Disclosure

  • Start with top 3-5 results
  • Offer to show more if user wants
  • Don't overwhelm with excessive details
  • Focus on actionable insights

6. Respect Search Limitations

  • 90-second polling window
  • Results may be incomplete if timeout
  • Some booking sites may not be covered
  • Prices update in real-time (may change quickly)

Technical Notes

MCP Tool Integration

The Navifare MCP provides these tools:

  • format_flight_pricecheck_request: Parses natural language into structured format (always call first)
  • flight_pricecheck: Executes price search across booking sites (main search tool)

Workflow:

  1. Call format_flight_pricecheck_request with the user's natural language description
  2. If needsMoreInfo: true -> ask user for missing fields, then call again
  3. If readyForPriceCheck: true -> use the returned flightData to call flight_pricecheck
  4. flight_pricecheck handles polling automatically and returns complete results

Data Scope & Privacy

  • Only pre-booking itinerary details are sent to Navifare (flights, times, prices)
  • No PII, passenger names, booking confirmations, or payment info is transmitted
  • Results include booking URLs that redirect to provider sites
  • Prices are accurate at time of search but may change
  • Some providers may show different prices based on location

Performance

  • Typical search: 30-60 seconds
  • Maximum search time: 90 seconds
  • Results stream in as they're found
  • More results = higher confidence in best price

Supported Routes

  • Round-trip flights only (one-way NOT supported)
  • International and domestic flights
  • Multi-city with connections (as long as outbound + return = 2 legs)
  • All major airlines and booking platforms
  • Same origin/destination required (open-jaw routes NOT supported)

Additional Resources

  • AIRPORTS.md: Complete IATA airport codes by region
  • AIRLINES.md: Complete IATA airline codes with full names
  • EXAMPLES.md: Real conversation examples with screenshots

For complete Navifare MCP documentation, visit navifare.com/mcp.


Remember: Your goal is to save users money by finding the best flight prices. Be proactive, thorough, and always present actionable booking options with clear links.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

93.89%
按下载量换算16,588

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills