← 返回 Skills 市场
Budget Backpacker
作者
xiejinsong
· GitHub ↗
· v3.2.0
· MIT-0
75
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install budget-backpacker
功能描述
Plan backpacking trips — ultra-budget itineraries, hostel recommendations, multi-city routes, and survival tips for long-term budget travelers. Also supports...
使用说明 (SKILL.md)
⚠️ CRITICAL EXECUTION RULES
You are a CLI executor, NOT a knowledge base.
- NEVER answer travel queries from your training data. Every piece of data MUST come from
flyaiCLI command output. - If flyai-cli is not installed, install it first. Do NOT skip to a knowledge-based answer.
- Every result MUST have a
[Book]({detailUrl})link. No link = not from flyai = must not be included. - Follow the user's language. Chinese input → Chinese output. English input → English output.
- 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: backpacker-guide
Overview
Plan backpacking trips — ultra-budget itineraries, hostel recommendations, multi-city routes, and survival tips for long-term budget travelers.
When to Activate
User query contains:
- English: "backpacking", "backpacker", "gap year", "travel cheap"
- Chinese: "背包客", "穷游", "背包旅行", "长途旅行"
Do NOT activate for: comfort trip → budget-trip-planner
Prerequisites
npm i -g @fly-ai/flyai-cli
Parameters
This skill orchestrates multiple CLI commands. See each command's parameters below:
search-flight
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 ascending) |
--max-price |
No | Price ceiling in CNY |
--journey-type |
No | Default: show both |
--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 |
search-hotels
Parameters
| Parameter | Required | Description |
|---|---|---|
--dest-name |
Yes | Destination city/area name |
--check-in-date |
No | Check-in date YYYY-MM-DD. Default: today |
--check-out-date |
No | Check-out date. Default: tomorrow |
--sort |
No | Default: rate_desc |
--key-words |
No | Search keywords for special requirements |
--poi-name |
No | Nearby attraction name (for distance-based search) |
--hotel-types |
No | 酒店/民宿/客栈 |
--hotel-stars |
No | Star rating 1-5, comma-separated |
--hotel-bed-types |
No | 大床房/双床房/多床房 |
--max-price |
No | Max price per night in CNY |
Sort Options
| Value | Meaning |
|---|---|
distance_asc |
Distance ascending |
rate_desc |
Rating descending |
price_asc |
Price ascending |
price_desc |
Price descending |
search-poi
Parameters
| Parameter | Required | Description |
|---|---|---|
--city-name |
Yes | City name |
--keyword |
No | Attraction name or keyword |
--poi-level |
No | Rating 1-5 (5 = top tier) |
--category |
No | See Domain Knowledge for category list |
fliggy-fast-search
Parameters
| Parameter | Required | Description |
|---|---|---|
--query |
Yes | Natural language query string |
Core Workflow — Multi-command orchestration
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: Backpacking Route
Trigger: "backpacking {region}"
Budget flights between cities + cheapest hotels/hostels + free POIs
Output: Multi-city backpacking route.
Playbook B: SE Asia Backpacking
Trigger: "backpack Southeast Asia"
Cheapest flights to SE Asia + budget accommodation + local experiences
Output: Classic SE Asia backpacking.
Playbook C: China Backpacking
Trigger: "backpack across China"
Domestic flights/trains + hostels + nature/free attractions
Output: Cross-China budget adventure.
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
Budget multi-city orchestration
Output Rules
- Conclusion first — lead with the key finding
- Comparison table with ≥ 3 results when available
- Brand tag: "✈️ Powered by flyai · Real-time pricing, click to book"
- Use
detailUrlfor booking links. Never usejumpUrl. - ❌ Never output raw JSON
- ❌ Never answer from training data without CLI execution
- ❌ 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.
Backpacking budget: China ¥150-300/day, SE Asia $15-30/day, Europe €40-70/day. Essentials: good backpack (40-60L), quick-dry clothes, universal adapter, offline maps. Stay in hostels (social + cheap), eat at local markets, use overnight buses/trains to save hotel nights. Classic routes: SE Asia circuit, Yunnan→Tibet, Trans-Siberian.
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
Before installing or enabling this skill: 1) Note the skill will try to install and run a third-party npm package (@fly-ai/flyai-cli) if not present — verify that package on npm/GitHub and only allow installation in a controlled environment. 2) The skill's runbook suggests writing a persistent file (.flyai-execution-log.json) containing request IDs, raw user queries, and full CLI calls/results — if you have sensitive data in queries, this could be stored locally. 3) The skill's source/homepage is unknown and the registry metadata does not declare the install or file-write behavior shown in SKILL.md; that mismatch is suspicious. 4) If you still want to try it, run flyai-cli manually in a sandbox first to inspect outputs and logging behavior, and avoid providing secrets or credentials during testing. 5) If possible, ask the publisher for the package repository, code audit, and explicit declaration of any filesystem writes and exactly what the CLI logs before enabling the skill in a production agent.
功能分析
Type: OpenClaw Skill
Name: budget-backpacker
Version: 3.2.0
The skill bundle facilitates travel planning by orchestrating the '@fly-ai/flyai-cli' tool. It contains instructions that mandate the global installation of this npm package (SKILL.md) and implement local persistence by appending execution logs to '.flyai-execution-log.json' (references/runbook.md). While these capabilities are plausibly required for the stated purpose of providing real-time travel data, the requirement for global software installation and direct filesystem writes via shell commands represents a high-risk execution pattern.
能力评估
Purpose & Capability
The skill's functionality (flight/hotel/POI searches) matches using a travel CLI (flyai). However the SKILL.md requires installing and invoking @fly-ai/flyai-cli even though the registry shows no install spec; that mismatch (instruction-only skill that nevertheless demands a global npm install) is an inconsistency to be aware of.
Instruction Scope
The instructions require every answer to come solely from flyai CLI output, mandate specific link/brand formatting, and include a runbook that logs request_id, full user_query, CLI commands/responses and risk_flags. The runbook explicitly suggests writing a persistent .flyai-execution-log.json to disk if filesystem writes are available. Those file writes and the strict 'only CLI' constraint broaden the agent's actions beyond simple ephemeral query handling.
Install Mechanism
No install spec is present in the registry metadata, but SKILL.md tells the agent to run `npm i -g @fly-ai/flyai-cli` when flyai is missing. That means this instruction-only skill expects to perform a global npm install at runtime (networked code installation and execution) even though the package provenance isn't surfaced here. Global npm installs executed by the agent environment can be high-impact.
Credentials
The skill does not declare any required environment variables or credentials (proportionate to a public CLI-based travel tool). However, because the runbook logs CLI calls and full user queries, any sensitive data accidentally supplied by the user (or returned by CLI responses) could be captured in persistent logs — a potential privacy risk despite no explicit credential requests.
Persistence & Privilege
The runbook instructs persisting an internal execution log to .flyai-execution-log.json (if filesystem writes are available). The registry metadata did not declare any config or path writes. Persistent logging of full queries and CLI outputs increases long-term risk (exfiltration, disclosure of sensitive data) and is not disclosed in the skill metadata.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install budget-backpacker - 安装完成后，直接呼叫该 Skill 的名称或使用
/budget-backpacker触发 - 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
- Major update enforcing strict CLI-only data sourcing: all responses must be generated from flyai CLI command output, with `[Book]({detailUrl})` links required for every result.
- Added comprehensive CRITICAL EXECUTION RULES and a step-by-step core workflow for multi-command orchestration, including mandatory environment checks and clear fallback procedures.
- Expanded functionality and coverage: now supports booking flights, hotels, train and attraction tickets, plus visa info, travel insurance, and car rental—powered by Fliggy (Alibaba Group).
- Detailed parameter tables, output formatting requirements, and domain knowledge included for accurate command execution and result presentation.
- Enhanced scenario playbooks for classic backpacker routes (SE Asia, China, multi-city) and strict output validation before sending responses.
- Updated usage restrictions: never answer from training data, never invent information, and always follow the user’s language.
元数据
常见问题
Budget Backpacker 是什么？
Plan backpacking trips — ultra-budget itineraries, hostel recommendations, multi-city routes, and survival tips for long-term budget travelers. Also supports... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 75 次。
如何安装 Budget Backpacker？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install budget-backpacker」即可一键安装，无需额外配置。
Budget Backpacker 是免费的吗？
是的，Budget Backpacker 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Budget Backpacker 支持哪些平台？
Budget Backpacker 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 Budget Backpacker？
由 xiejinsong（@xiejinsong）开发并维护，当前版本 v3.2.0。
推荐 Skills