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camping-flight

作者 dingtom336-gif · GitHub ↗ · v3.2.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install camping-flight
功能描述
Book flights for camping and glamping trips to outdoor destinations. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, iti...
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: camping-flight

Overview

Camping Flight.

When to Activate

User query contains:

  • English: "camping flight", "glamping flight", "outdoor camping travel", "tent camping flight", "book a flight"
  • Chinese: "露营航班", "野营旅行机票", "房车旅行", "户外露营出行", "订机票"

Do NOT activate for: camping hotel → camping-glamping-spots; outdoor → nature-spots

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: 2 (recommended)
--dep-date-start No Date window start
--dep-date-end No Date window end

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: "camping flight", "露营航班"

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

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 2

Output Rules

  1. Conclusion first — lead with best option
  2. Camping tip — Western Sichuan, Inner Mongolia, and Hainan are popular camping areas
  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
"camping" / "露营出行" --sort-type 2
"cheap camping flight" / "便宜露营机票" --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
Before installing or using this skill: 1) Treat the npm install instruction as the main risk — verify the npm package (@fly-ai/flyai-cli) and its publisher (check npmjs.org and the package's repository/homepage) before allowing a global install. 2) Ask the skill author to provide a homepage, official vendor link, and proof of Fliggy/Alibaba integration if you expect that provenance. 3) Note the feature mismatch: the skill advertises hotels/trains/etc. but only documents flight search — ask for clarification or a version that documents other commands. 4) Prefer running the skill in a disposable/containerized environment (or a VM) if you must let it run npm installs. 5) If you cannot verify the CLI package, decline installation — the skill can execute arbitrary code via npm and that risk is non-trivial.
功能分析
Type: OpenClaw Skill Name: camping-flight Version: 3.2.0 The skill bundle instructs the AI agent to perform a global installation of an external NPM package (`npm i -g @fly-ai/flyai-cli`) if the command is missing, as seen in SKILL.md and references/fallbacks.md. While this is presented as a prerequisite for the flight booking functionality, automated global package installation is a high-risk behavior that serves as a potential vector for supply chain attacks or unauthorized code execution. There is no clear evidence of malicious intent or data exfiltration, but the execution of shell commands to modify the system environment warrants a suspicious classification.
能力评估
Purpose & Capability
The description claims broad travel support (flights, hotels, trains, attractions, visas, insurance, car rental) and says it's 'powered by Fliggy', but the runtime instructions and all playbooks only show a single flight-search CLI (flyai search-flight). There are no commands or parameters for hotels/trains/etc., and no provenance (homepage or vendor) tying the @fly-ai/flyai-cli to Fliggy/Alibaba. This mismatch is unexplained and could indicate incomplete or misleading documentation.
Instruction Scope
The SKILL.md mandates installing and using a system CLI at runtime, enforces that every answer must come from that CLI output, and requires global npm installation if the CLI is missing. That gives the skill the ability to run arbitrary shell commands (npm i -g) and install code on the host. The instructions do not ask to read local files or env vars, which is good, but they do instruct potentially system-modifying actions without a vetted install spec.
Install Mechanism
There is no formal install spec in the registry, yet the instructions tell the agent to run `npm i -g @fly-ai/flyai-cli` if the CLI is absent. Installing a global npm package at runtime is a moderate-to-high risk action because npm packages can execute arbitrary code during install. The package name and lack of homepage or known vendor increase uncertainty — the source is unverified.
Credentials
The skill requests no environment variables or credentials, which is proportionate for a read-only search tool. However, real booking flows often require authenticated APIs; absence of any credential requirements may indicate the skill only surfaces search results or that credential handling is undocumented. No env vars shown in SKILL.md are being read, which matches the registry metadata.
Persistence & Privilege
always:false (good), and the skill is user-invocable. However, the runtime behavior includes installing a global npm package (system-wide change) if missing — that is a privilege escalation relative to an instruction-only skill and could leave persistent software on the host. The skill does not declare its install actions in the registry, so this side-effect is hidden from install-time review.
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 camping-flight
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /camping-flight 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
- Enforces strict CLI execution for all travel queries; answers must use flyai CLI output only. - Adds detailed output and parameter collection SOP, plus scenario-based playbooks (recommended, cheapest, fastest, direct). - Mandates booking links ([Book](...)) in every result; never answer from knowledge/training data. - Clarifies when not to trigger this skill (e.g., hotel or nature-spot queries). - Includes more robust environment checks and fallback instructions.
元数据
Slug camping-flight
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

camping-flight 是什么?

Book flights for camping and glamping trips to outdoor destinations. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, iti... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 64 次。

如何安装 camping-flight?

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

camping-flight 是免费的吗?

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

camping-flight 支持哪些平台?

camping-flight 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 camping-flight?

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

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