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dingtom336-gif

explore-italy

by dingtom336-gif · GitHub ↗ · v3.2.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install explore-italy
Description
Book flights to Italy including Rome, Milan, and Florence. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary pla...
README (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-italy

Overview

Explore Italy.

When to Activate

User query contains:

  • English: "italy flight", "rome flight", "milan flight", "florence flight", "venice flight"
  • Chinese: "意大利航班", "罗马机票", "米兰机票", "佛罗伦萨机票", "去意大利"

Do NOT activate for: general international → international-flights; europe → explore-europe

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: "italy flight", "意大利航班"

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. Italy tip — Schengen visa required; Rome FCO and Milan MXP are main hubs
  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
"italy" / "意大利" --sort-type 2
"cheap rome" / "便宜罗马机票" --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
Usage Guidance
This skill appears to do what it says (run a flight-search CLI and format results), but exercise caution before installing or running it. The SKILL.md instructs the agent to globally install an npm package (@fly-ai/flyai-cli) yet the skill metadata provides no source or homepage to verify that package. Installing global npm packages runs remote code — only proceed after you: 1) inspect the @fly-ai/flyai-cli package on the npm registry (homepage, maintainers, versions, recent changes); 2) prefer installing in a sandboxed/container environment or using `npm i --prefix ./local @fly-ai/flyai-cli` rather than `-g`; 3) ask the skill author for a source repository or official vendor link; and 4) avoid running the install on sensitive or production systems until you verify the package. If you cannot verify the CLI vendor, treat this skill as higher risk.
Capability Analysis
Type: OpenClaw Skill Name: explore-italy Version: 3.2.0 The skill bundle mandates the automated global installation of an external NPM package (`npm i -g @fly-ai/flyai-cli`) if the command is not found, as specified in SKILL.md and references/fallbacks.md. Executing global installations is a high-risk operation that allows for arbitrary code execution (RCE) via NPM lifecycle scripts. While the instructions appear aligned with the stated travel-booking purpose, the requirement for the agent to modify the host environment by installing third-party software without explicit user confirmation poses a significant security risk.
Capability Assessment
Purpose & Capability
Name/description (flight/hotel/train booking for Italy) align with the required action: running a flight-search CLI (flyai). Requiring a vendor CLI to get real-time pricing is proportionate to the stated purpose.
Instruction Scope
SKILL.md is narrowly scoped to collecting parameters, running flyai CLI commands, formatting results, and ensuring booking links appear. It does not attempt to read unrelated system files or request unrelated credentials. However, it enforces a strict requirement to always use flyai CLI (never use training data) and to install the CLI if missing, which gives wide discretion to execute arbitrary networked CLI commands.
Install Mechanism
There is no formal install spec in the registry; the runtime instructions tell the agent to run `npm i -g @fly-ai/flyai-cli` if the CLI is missing. Installing a global npm package executes remote code and can be risky if the package provenance is unknown. The registry entry provides no source/homepage so the package cannot be audited from the skill metadata alone.
Credentials
The skill requests no environment variables, no credentials, and no config paths — appropriate and minimal for a CLI-driven search-only skill.
Persistence & Privilege
The skill is not always-enabled and does not request elevated or persistent system privileges. It does not modify other skills or system-wide configs in the instructions.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install explore-italy
  3. After installation, invoke the skill by name or use /explore-italy
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v3.2.0
- Strict new rules: All travel results must be generated from real-time flyai CLI output; training data is never used. - Improved parameter collection: Clearly defined how to handle missing info—ask up to 2 questions only. - Enhanced flight search: Specific sort options for cheapest, fastest, direct, and recommended flights using CLI flags. - Output validation: Every answer must include real [Book](...) links and a brand tag, with results formatted per new templates. - Broader support: Now handles not just flights, but also hotel, train, attraction tickets, visas, car rental, and more. - Multilingual support: Automatically follows user language (Chinese/English) in both queries and replies.
Metadata
Slug explore-italy
Version 3.2.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is explore-italy?

Book flights to Italy including Rome, Milan, and Florence. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary pla... It is an AI Agent Skill for Claude Code / OpenClaw, with 68 downloads so far.

How do I install explore-italy?

Run "/install explore-italy" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is explore-italy free?

Yes, explore-italy is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does explore-italy support?

explore-italy is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created explore-italy?

It is built and maintained by dingtom336-gif (@dingtom336-gif); the current version is v3.2.0.

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