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kevinjinko

Jinko

by kevinjinko · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
2551
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3
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Install in OpenClaw
/install jinko-flight-search
Description
Search flights and discover travel destinations using the Jinko MCP server. Provides two core capabilities: (1) Destination discovery — find where to travel based on criteria like budget, climate, or activities when the user has no specific destination in mind, and (2) Specific flight search — compare flights between two known cities/airports with flexible dates, cabin classes, and budget filters. Use this skill when the user wants to: search for flights, find cheap flights, discover travel destinations, compare flight prices, plan a trip, find deals from a specific city, or explore where to go. Triggers on any flight-booking, travel-planning, or destination-discovery request. Requires the Jinko MCP server connected at https://mcp.gojinko.com.
README (SKILL.md)

Jinko Flight Search

Search flights and discover destinations via the Jinko MCP server (find_destination and find_flight tools).

MCP Connection

Connect the Jinko MCP server in Claude's settings or project integrations using this URL:

https://mcp.gojinko.com

This provides two tools: Jinko:find_destination and Jinko:find_flight.

Tool Selection

  1. User knows origin AND destination city → Use find_flight
  2. User wants destination ideas, doesn't know where to go, or specifies criteria (beach, warm, ski, cheap…) → Use find_destination
  3. User asks for the cheapest dates to a single known destination → Use find_flight

Tool 1: find_destination — Discover Where to Go

Use when the user is exploring options and hasn't committed to a single destination city.

Required Parameters

  • origins — Array of IATA codes for ALL nearby airports at the user's origin.
  • trip_type"roundtrip" (default) or "oneway" (only when user explicitly says one-way).

Optional Parameters

Parameter Use when
destinations User mentions a region, criteria, or list of candidate cities. Generate IATA codes matching the intent. Leave empty for global discovery ("anywhere", "surprise me").
departure_dates / departure_date_ranges User specifies dates or periods. All dates MUST be in the future.
return_dates / return_date_ranges User specifies return windows.
stay_days / stay_days_range User mentions trip length ("a week", "5-10 days").
max_price User mentions a budget.
direct_only User asks for nonstop/direct flights.
cabin_class "economy", "premium_economy", "business", or "first".
currency ISO 4217 code matching user's locale.
locale e.g. "en-US", "fr-FR".
sort_by "lowest" (default) or "recommendation".

Airport Identification — Critical

Always expand a city to ALL its airports:

  • New York → ["JFK","LGA","EWR"]
  • London → ["LHR","LGW","STN","LTN","LCY"]
  • Paris → ["CDG","ORY"]
  • Tokyo → ["NRT","HND"]
  • Chicago → ["ORD","MDW"]
  • Los Angeles → ["LAX"]
  • San Francisco / SFO → ["SFO"]

Destination Generation — Critical

When users describe criteria, generate matching IATA codes before calling the tool:

  • "Beach" → ["MIA","SAN","HNL","CUN","PUJ","SJU","NAS","MBJ"]
  • "Asia" → ["NRT","HND","ICN","PVG","PEK","HKG","SIN","BKK","KUL","MNL"]
  • "European capitals" → ["LHR","CDG","FRA","MAD","FCO","AMS","BRU","VIE","PRG","CPH"]
  • "Ski" → ["DEN","SLC","ZRH","INN","GVA","TRN"]
  • "Warm in winter" → ["MIA","MCO","SAN","PHX","HNL","CUN","PUJ","PTY","LIM","GIG"]

When to Re-call

Re-call find_destination when the user changes destination criteria, dates, or asks to explore different options — especially when they are already viewing the widget in fullscreen.

Examples

User says origins destinations other params
"Where should I travel from NYC next month?" ["JFK","LGA","EWR"] [] (global) departure_date_ranges for next month
"Cheap flights from SF to Europe under $800" ["SFO"] European airports max_price: 800
"Somewhere warm from Chicago, 1 week in Dec" ["ORD","MDW"] warm-weather airports stay_days: 7, Dec date range
"Best weekend getaways from Boston" ["BOS"] [] (global) stay_days_range: {min:2, max:4}

Tool 2: find_flight — Search a Specific Route

Use when both origin and destination cities are known.

Required Parameters

  • origin — Single IATA airport or city code (e.g. "JFK", "PAR").
  • destination — Single IATA airport or city code (e.g. "CDG", "LON").
  • trip_type"roundtrip" (default) or "oneway".

Optional Parameters

Same date, stay, price, cabin, currency, locale, direct, and sort parameters as find_destination.

Examples

User says origin destination other params
"Flights from JFK to CDG next month" "JFK" "CDG" departure_date_ranges for next month
"LA to Tokyo for a week in December" "LAX" "TYO" stay_days: 7, Dec date range
"Business class NYC to London, 5-10 days" "NYC" "LON" cabin_class: "business", stay_days_range: {min:5, max:10}
"Cheapest ORD to LHR under $600" "ORD" "LHR" max_price: 600

General Rules

  • Default to roundtrip. Only use "oneway" when the user explicitly writes "one way" or "one-way".
  • All dates must be in the future. Never send a past date.
  • Fill as many search parameters as possible from the user's intent to get the best results.
  • Use city codes (e.g. "LON", "NYC", "PAR", "TYO") when searching across all airports in a city.
  • Provide results in the user's preferred currency and locale when identifiable.
Usage Guidance
This skill appears internally consistent for searching flights via an external Jinko MCP server. Before installing or enabling it: (1) verify the external endpoint (https://mcp.gojinko.com) and the publisher/source since no homepage or owner metadata is provided; (2) confirm whether the MCP integration requires API keys/tokens and where those credentials are stored (agent settings/integrations) — the SKILL.md does not describe authentication; (3) avoid providing sensitive personal or payment information through the skill unless you trust the service and understand its privacy policies; and (4) if you need higher assurance, ask the publisher for a homepage, documentation, or contact info.
Capability Analysis
Type: OpenClaw Skill Name: jinko-flight-search Version: 1.0.0 The skill bundle is benign. It clearly defines its purpose as flight search and destination discovery, relying on an explicitly stated external server at `https://mcp.gojinko.com`. The `SKILL.md` provides detailed, but legitimate, instructions for the AI agent on how to interpret user requests and map them to parameters for the `find_destination` and `find_flight` tools. There is no evidence of data exfiltration, malicious execution, persistence, or prompt injection attempts designed to subvert the agent's security or intended function.
Capability Assessment
Purpose & Capability
The name/description match the instructions: the SKILL.md describes two tools (find_destination, find_flight) and shows parameters and examples for flight discovery and route searches. The required actions (expanding cities to airport IATA codes, building search params, calling the MCP tools) are appropriate for a flight-search capability.
Instruction Scope
Instructions are narrowly scoped to composing flight-search queries, generating airport/IATA lists, and calling the MCP endpoint. The SKILL.md does not instruct reading local files, shell history, system credentials, or sending data to unrelated external endpoints.
Install Mechanism
No install spec or code files are present (instruction-only), so nothing will be written to disk or installed by the skill. This is the lowest-risk install profile.
Credentials
The skill declares no required environment variables or credentials, which is proportionate for an instruction-only tool. However, it expects the agent/project to be connected to an external MCP server (https://mcp.gojinko.com) via Claude's settings/integrations; the SKILL.md does not document whether authentication (API keys, tokens) is required or where those credentials would be stored. Verify how the MCP integration is authenticated and whether any secrets are configured outside the skill.
Persistence & Privilege
always is false, the skill is user-invocable, and there is no instruction to alter agent configurations or other skills. It does not request permanent presence or elevated platform privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install jinko-flight-search
  3. After installation, invoke the skill by name or use /jinko-flight-search
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Jinko Flight Search skill. - Supports destination discovery based on user criteria (budget, activities, climate, etc.) via `find_destination`. - Provides specific flight search and comparison between known cities or airports with `find_flight`. - Includes flexible options: date ranges, stay length, cabin class, budget, and more. - Handles city-to-multi-airport conversion and destination criteria mapping. - Requires connection to the Jinko MCP server at https://mcp.gojinko.com for all operations.
Metadata
Slug jinko-flight-search
Version 1.0.0
License
All-time Installs 3
Active Installs 3
Total Versions 1
Frequently Asked Questions

What is Jinko?

Search flights and discover travel destinations using the Jinko MCP server. Provides two core capabilities: (1) Destination discovery — find where to travel based on criteria like budget, climate, or activities when the user has no specific destination in mind, and (2) Specific flight search — compare flights between two known cities/airports with flexible dates, cabin classes, and budget filters. Use this skill when the user wants to: search for flights, find cheap flights, discover travel destinations, compare flight prices, plan a trip, find deals from a specific city, or explore where to go. Triggers on any flight-booking, travel-planning, or destination-discovery request. Requires the Jinko MCP server connected at https://mcp.gojinko.com. It is an AI Agent Skill for Claude Code / OpenClaw, with 2551 downloads so far.

How do I install Jinko?

Run "/install jinko-flight-search" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Jinko free?

Yes, Jinko is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Jinko support?

Jinko is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Jinko?

It is built and maintained by kevinjinko (@kevinjinko); the current version is v1.0.0.

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