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Agent Skill · 研究检索

skiplagged-travel-search(跳过滞后的旅行搜索)

skiplagged-travel-search 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

skiplagged-travel-search 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 46,227。

总安装 792周安装 33GitHub Stars 公开资料未说明下载 264核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:skiplagged-travel-search(跳过滞后的旅行搜索)
来源仓库:https://github.com/skiplagged/agent-skills
仓库路径:skills/skiplagged-travel-search
安装命令:
npx skills add https://github.com/skiplagged/agent-skills --skill skiplagged-travel-search
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/skiplagged/agent-skills --skill skiplagged-travel-search

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

skiplagged-travel-search 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于需要根据关键词或任务场景从多个来源中筛选信息的场景。通过关键词、任务场景或来源线索进行信息检索与筛选。

安装命令:npx skills add https://github.com/skiplagged/agent-skills --skill skiplagged-travel-search。建议确认权限范围和维护状态,注意是否会触发联网或文件读写操作。

来源仓库内路径:skills/skiplagged-travel-search

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/skiplagged/agent-skills --skill skiplagged-tra…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

skiplagged-travel-search 怎么安装?

在终端执行 npx skills add https://github.com/skiplagged/agent-skills --skill skiplagged-travel-search。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

skiplagged-travel-search 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

skiplagged-travel-search 需要什么权限?

权限级别是调用外部服务。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。

skiplagged-travel-search 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

skiplagged-travel-search 用的人多吗?

公开数据是累计安装 792 次,近一周安装 33 次,下载 264 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

skiplagged-travel-search 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
skiplagged-travel-search

跳过滞后的旅行搜索 · 本页

792—调用外部服务未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Skiplagged Travel Search

Overview

Skiplagged MCP exposes travel search capabilities (flights, flexible date calendars, “anywhere” destination discovery, hotels + room details, and sometimes rental cars) as MCP tools. Prefer calling Skiplagged tools over guessing prices/availability.

Prerequisites

  1. Connect the MCP client to https://mcp.skiplagged.com/mcp over HTTP transport.
  2. List tools and confirm Skiplagged tools are visible before running workflows.
  3. Treat authentication as not required.
  4. Read references/setup.md for client-specific setup commands and examples.

Operating rules

1) Grounding rule

Always base answers on tool results. Never invent or guess prices, availability, or policies.

2) Tool-call discipline

  • Use minimal, correct parameters (avoid unnecessary filters unless user asked).
  • Prefer IATA airport codes when possible; otherwise accept city names and clarify if needed.
  • Use small result limits when supported (e.g., 3–7) and expand only if the user asks.
  • Chain multiple tool calls when needed, but avoid loops. Respect per-turn tool-call limits.

3) Post-call validation loop

After each tool call:

  1. Summarize what the tool returned in 1–2 sentences (what matters to a traveler: cost, time, stops, key tradeoffs).
  2. Decide the next step:

- proceed (narrow or enrich), - self-correct (relax filters, adjust airports/dates), - or ask one targeted follow-up question.

4) Failure handling (empty or unhelpful results)

If results are empty/ambiguous:

  • Say so clearly.
  • Suggest the smartest next step (broader dates, nearby airports, allow 1 stop, adjust time window, try “anywhere” discovery, or switch to hotels-first for trip planning).
  • For failures other than lack of results, suggest using https://skiplagged.com directly.

5) Output style (traveler-centric)

Be concise and practical:

  • Highlight savings, routing insights, and key tradeoffs (stops vs duration vs price).
  • Present a short shortlist (typically 3–7 options) rather than a dump of results.

Tool discovery (required, safer across deployments)

Different deployments may rename tools or add new ones. Before running any workflow:

  1. List tools available on the connected Skiplagged MCP server.
  2. Identify the best match for each capability:

- flights search - flexible date calendars - anywhere destinations - hotels search - hotel details - (optional) rental cars

Mapping convention (typical, not guaranteed): tools often start with sk_.

Common capability → typical tool names (use as a guide)

  • Flights search → sk_flights_search
  • Flexible departure calendar → sk_flex_departure_calendar
  • Flexible return calendar → sk_flex_return_calendar
  • Anywhere destination discovery → sk_destinations_anywhere
  • Hotels search → sk_hotels_search
  • Hotel details → sk_hotel_details

If your tool list differs, use the closest equivalent and keep the workflows below unchanged.


Intake checklist (ask only what’s needed)

Extract or confirm only the missing critical inputs:

  • Route intent: specific route (origin -> destination) vs flexible destination (“anywhere”).
  • Dates: exact dates or flexible window + trip length.
  • Travelers: adults/children/infants and cabin, if non-default.
  • Constraints: budget, stops, max duration, time windows, and airline preferences.
  • Lodging intent (if relevant): hotel location, dates, guests, and required amenities.

Workflows

Workflow A — Standard flight search (one-way or round-trip)

Use when the user wants specific flights between places.

Preferred tool → fallback

  • Preferred: sk_flights_search

Steps

  1. Normalize locations:

- If user gives a city/region, clarify which airport(s) are acceptable if it changes results materially (multi-airport metros).

  1. Call the flight-search tool with:

- origin, destination - depart date (+ return date if round-trip) - passenger counts, cabin - assume defaults if not specified - only the filters the user asked for (stops, time windows, airline preferences)

  1. Post-process:

- Cluster top results by cheapest, fastest, fewest stops. - Present 3–7 options with price, stops, duration, and any standout caveats (overnight layover, long layover).

  1. If results are too broad:

- Ask 1 targeted question (e.g., “Allow one stop?”) or apply a reasonable default and disclose it.


Workflow B — Flexible dates / fare calendar

Use when the user says “around X date”, “flexible”, or “cheapest days”.

Preferred tools → fallback

  • Preferred: sk_flex_departure_calendar and sk_flex_return_calendar

Steps

  1. Call the departure-calendar tool around the target date/window.
  2. If round-trip:

- Use a trip length (or return window) that matches the user’s intent (e.g., “3–5 nights”). - Call the return-calendar tool for best return dates.

  1. Summarize:

- Cheapest departure day(s) - Cheapest round-trip date pairs (if supported) - Recommend 2–4 date options aligned to constraints (weekends, time windows, budget).


Workflow C — “Anywhere” destination discovery

Use when the user is flexible on where to go (“somewhere warm”, “anywhere cheap”).

Preferred tool → fallback

  • Preferred: sk_destinations_anywhere

Steps

  1. Confirm:

- origin - date/window (or month) - constraints (budget, max flight time, nonstop-only, region/climate)

  1. Call the anywhere-destinations tool.
  2. Return 5–12 destinations with:

- destination, lowest fare, suggested dates/window (as returned) - a one-line rationale tied to the user constraints

  1. When the user picks a destination, transition to Workflow A to find bookable itineraries.

Workflow D — Hotels + room-level details

Use when the user asks for hotels, places to stay, or wants to bundle planning.

Preferred tools → fallback

  • Preferred: sk_hotels_search then sk_hotel_details
  • Fallback: any tool(s) that provide hotel lists and separate room/policy breakdowns

Steps

  1. Call the hotel-search tool with:

- location, dates, rooms/guests - only requested filters (price cap, rating, amenities)

  1. Present 5–10 options with:

- total price / nightly price (as returned), rating, key amenities, and area/neighborhood (if returned)

  1. When the user selects a hotel (or asks for “best value”), call the hotel-details tool.
  2. Summarize room options:

- room type, cancellation policy, inclusions (breakfast), total price (as returned) - highlight tradeoffs: nonrefundable vs flexible, fees, value differences.


Workflow E — Rental cars (if available)

Use when the user requests a car rental.

Preferred tool → fallback

  • Preferred: a tool in the server tool list whose description indicates car-rental search

Steps

  1. Confirm pickup/dropoff location, times, and any constraints (car class, driver age if required).
  2. Call the car-rental search tool (if present).
  3. Present 3–7 options with total price, class, company, and relevant policies (as returned).

Planning behavior (for full itineraries)

When the user asks to “plan a trip”:

  1. Anchor with flights (or anywhere discovery) to set destination/dates/cost.
  2. Add hotels for the chosen destination/dates.
  3. Add rental cars if needed and supported.
  4. Present 2–3 bundles (e.g., “cheapest”, “balanced”, “most convenient”) with clear tradeoffs.

Reliability + transparency notes

  • Prices and availability change quickly; treat results as current at the moment of the tool call and encourage the user to confirm terms via the provided link (if any).
  • If hidden-city itineraries appear, be transparent about common constraints and tradeoffs (especially baggage and missed-leg implications). Do not oversell—present as an option with clear caveats.

Troubleshooting (avoid loops)

  • If a call fails or returns empty results:

- Retry at most once with broader constraints (e.g., allow 1 stop, widen time window, nearby airports). - If still empty, ask one targeted follow-up question and propose a concrete alternative search.

平台分布

Codex

35.26%
按下载量换算93

Claude

28.91%
按下载量换算76

Cursor

18.45%
按下载量换算49

Gemini CLI

9.53%
按下载量换算25

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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