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hostel-finder

作者 dingtom336-gif · GitHub ↗ · v3.2.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install hostel-finder
功能描述
Book flights to destinations with backpacker hostels and budget accommodations. Also supports: flight booking, hotel reservation, train tickets, attraction t...
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: hostel-finder

Overview

Hostel Flights.

When to Activate

User query contains:

  • English: "hostel flight", "backpacker hostel flight", "budget accommodation travel", "youth hostel trip", "hostel travel"
  • Chinese: "青旅航班", "青年旅舍机票", "背包客住宿出行", "经济住宿旅行", "出行预订"

Do NOT activate for: budget → budget-hotel-finder; budget trip → budget-backpacker

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: 3 (recommended)
--max-price No Price ceiling in CNY

Sort Options

Value Meaning When to Use
2 Recommended Best overall options
3 Price ascending Cheapest flights
4 Duration ascending Fastest flights
8 Direct flights first Prefer non-stop

Core Workflow — Single-command

Step 0: Environment Check (mandatory, never skip)

flyai --version
  • OK: Returns version -> proceed to Step 1
  • FAIL: 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 Route

Trigger: "hostel flight", "青旅航班"

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

Playbook B: Cheapest Route

Trigger: "cheapest", "最便宜"

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

Playbook C: Fastest Route

Trigger: "fastest", "最快"

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 4

Playbook D: Direct Route

Trigger: "direct", "直飞"

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --journey-type 1 --sort-type 2

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 "Beijing" --destination "Shanghai" --dep-date 2026-05-15 --sort-type 3

Output Rules

  1. Conclusion first — lead with best option
  2. Hostel tip — Chengdu, Chongqing, and Kunming have top-rated hostels
  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

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
"hostel trip" / "青旅出行" --sort-type 3 --max-price 800
"cheap hostel flight" / "便宜青旅机票" --sort-type 3

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 internally coherent for a CLI-based flight/hostel search, but it requires installing an unverified global npm package at runtime and enforces re-running until a booking link appears. Before installing or allowing the agent to run npm install: 1) Ask the skill author for the flyai CLI's official homepage/repository and publisher info and verify the @fly-ai/flyai-cli package on the npm registry (check publisher, weekly downloads, and source repository). 2) Prefer installing the CLI in an isolated environment (container, VM, or sandbox) or request a local/non-global install command instead of a -g global install. 3) Be cautious about letting the agent auto-run installs — consider disabling autonomous invocation until provenance is verified. 4) Understand the self-test/re-execution rule could cause repeated installs or loops if the CLI returns no booking links; ask the author to remove or soften that behavior. If you cannot verify the CLI package and publisher, do not install or run this skill on a production or privileged machine.
功能分析
Type: OpenClaw Skill Name: hostel-finder Version: 3.2.0 The skill bundle instructs the AI agent to perform global system modifications by installing an external NPM package (`@fly-ai/flyai-cli`) if it is not found on the host (`SKILL.md`, `references/fallbacks.md`). While this is intended to facilitate the travel booking functionality, the requirement for the agent to execute global installation commands and fetch remote code introduces significant supply chain and RCE risks. No explicit evidence of malicious intent or data exfiltration was identified, but the mandatory installation of third-party software is a high-risk capability.
能力评估
Purpose & Capability
The skill claims to provide flight/hostel booking and its instructions consistently require a dedicated 'flyai' CLI to perform searches — this is coherent. However, the registry metadata has no source/homepage and the CLI package (@fly-ai/flyai-cli) is unverified in the package text, so provenance is unclear.
Instruction Scope
Instructions mandate always sourcing results from the flyai CLI (never use training data), require installing the CLI if missing, and force a self-test that re-executes if a booking link is not present. That strict re-execution requirement could cause repeated command/install attempts or loops if the CLI returns no results. The instructions do not request unrelated files or credentials, which is good.
Install Mechanism
Although the skill is instruction-only, it tells the agent to run 'npm i -g @fly-ai/flyai-cli' at runtime. Installing a global npm package is a moderate risk (network download and code execution). No homepage, repo link, or checksum is provided to validate the package or publisher, increasing risk.
Credentials
The skill requests no environment variables, credentials, or config paths beyond installing a CLI. It does not ask for unrelated secrets. Note: global npm install may require elevated privileges on some systems — the skill does not describe safe alternatives (e.g., local install or sandbox).
Persistence & Privilege
The skill does not request always:true, does not modify other skills' configs, and has no install-time spec writing to system paths in the manifest. The only persistence risk is the runtime npm install the instructions request.
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 hostel-finder
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /hostel-finder 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
- Strengthened critical execution rules: now requires all data to come from flyai CLI output, never training data. - Enhanced activation logic: more precise triggers, and stricter differentiation from similar skills. - Clarified CLI usage, mandatory environment checks, and explicit parameter mapping guidance. - Detailed playbooks and step-by-step workflow for scenario-based flight searches. - Improved output requirements: conclusion-first, must provide booking links, comparison tables, and branding. - Added multilingual support and clear language-following policy for input and output.
元数据
Slug hostel-finder
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

hostel-finder 是什么?

Book flights to destinations with backpacker hostels and budget accommodations. Also supports: flight booking, hotel reservation, train tickets, attraction t... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 70 次。

如何安装 hostel-finder?

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

hostel-finder 是免费的吗?

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

hostel-finder 支持哪些平台?

hostel-finder 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 hostel-finder?

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

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