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explore-canada

作者 dingtom336-gif · GitHub ↗ · v3.2.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install explore-canada
功能描述
Book flights to Canada including Vancouver, Toronto, and Montreal. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itine...
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: explore-canada

Overview

Explore Canada.

When to Activate

User query contains:

  • English: "canada flight", "vancouver flight", "toronto flight", "montreal flight", "discover"
  • Chinese: "加拿大航班", "温哥华机票", "多伦多机票", "蒙特利尔机票", "去加拿大"

Do NOT activate for: general international → international-flights

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: "canada flight", "加拿大航班"

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. Canada tip — visa required; best time Jun-Sep
  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
"canada" / "加拿大" --sort-type 2
"cheap vancouver" / "便宜温哥华机票" --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 appears to be a travel-booking wrapper that depends on a third-party CLI but has a few red flags: the description credits 'Fliggy' while the runtime requires an @fly‑ai CLI (branding mismatch), and the skill tells the agent to run a global `npm i -g` at runtime with no provenance checks. Before installing or enabling this skill: 1) ask the publisher for the CLI's official homepage, source repo, and package owner on npm (verify that @fly-ai is a legitimate, trusted publisher); 2) prefer skills that include an explicit, reviewed install spec or a verified binary/sha256; 3) avoid allowing autonomous execution until you confirm the package is safe; and 4) if you must use it, run the npm install in an isolated environment (container or VM) and inspect the installed package and its network behavior. If you cannot verify the CLI vendor or source repo, treat this skill as high-risk and do not install it on production or personal systems.
功能分析
Type: OpenClaw Skill Name: explore-canada Version: 3.2.0 The skill bundle requires the agent to perform a global installation of an external NPM package (@fly-ai/flyai-cli) using 'npm i -g' if the command is missing, which is a high-privilege operation posing a supply chain risk. Additionally, the instructions in SKILL.md direct the agent to execute CLI commands with parameters derived from user input (e.g., --origin, --destination), creating a potential surface for shell injection if the agent does not properly sanitize the input. While the logic appears aligned with the stated flight-search purpose, these are high-risk capabilities without sufficient safeguards.
能力评估
Purpose & Capability
The skill claims to be “powered by Fliggy (Alibaba Group)” in the description but the runtime strictly requires a third‑party CLI named @fly-ai/flyai-cli. That branding mismatch is unexplained and suspicious, though the required operations (running a flight-search CLI) are consistent with a travel-booking skill.
Instruction Scope
The SKILL.md forces all answers to come only from the flyai CLI and instructs the agent to install that CLI if missing. It mandates re-execution until every result contains a [Book](...) link. It does not instruct any validation of the CLI binary/package (no checksum, no vendor homepage) and instructs global npm installation at runtime — expanding the agent's scope to download and run third‑party code on the host.
Install Mechanism
There is no formal install spec in the registry; instead the instructions tell the agent to run `npm i -g @fly-ai/flyai-cli` if the CLI isn't present. Installing an npm package at runtime pulls arbitrary code from the public registry and writes to disk/globally alters the environment without provenance or verification — a non-trivial install risk.
Credentials
The skill requests no environment variables, credentials, or config paths. For a flight-search/bookings skill this is proportionate; nothing here attempts to access unrelated secrets or system configs.
Persistence & Privilege
always:false and no install spec in the registry. The skill does instruct installing a global npm package at runtime, but it does not request permanent platform privileges or set always:true. Autonomous invocation is allowed (default) but that is normal for skills and not sufficient alone to be flagged.
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 explore-canada
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /explore-canada 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-only results for all queries; never responds using training data. - Requires real-time data from flyai CLI for all bookings; every flight option must have a [Book]({detailUrl}) link. - Expands support to include hotels, train tickets, attractions, itinerary, visa info, insurance, and car rental for Canadian travel. - Multi-language support: follows user input language for queries and output. - Includes direct, cheapest, and fastest flight filters with detailed command playbooks. - Comprehensive CLI execution rules, output formatting, and error-handling for better reliability and current results.
元数据
Slug explore-canada
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

explore-canada 是什么?

Book flights to Canada including Vancouver, Toronto, and Montreal. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itine... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 68 次。

如何安装 explore-canada?

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

explore-canada 是免费的吗?

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

explore-canada 支持哪些平台?

explore-canada 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 explore-canada?

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

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