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summer-vacation-flight

v3.2.0

Book summer vacation flights for July and August holiday travel. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinera...

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "summer-vacation-flight" (liquanyu123/summer-vacation-flight) from ClawHub.
Skill page: https://clawhub.ai/liquanyu123/summer-vacation-flight
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

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Purpose & Capability
The skill claims to book flights and related travel services and instructs the agent to use a CLI (flyai). That capability aligns with the stated purpose. However the SKILL.md also claims “Powered by Fliggy (Alibaba Group)” while all runtime instructions reference an npm package @fly-ai/flyai-cli — a branding/provider mismatch that should be clarified. The skill also advertises hotels, trains, attractions, etc., but the provided parameters and playbooks are focused almost exclusively on flight-search commands.
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Instruction Scope
The runtime instructions force CLI-based operation (OK for an instruction-only CLI skill) and even mandate installing a global npm package if the CLI is missing. There are several internal inconsistencies in the instructions: the Parameters table does not list flags that are used elsewhere (e.g., --journey-type appears in playbooks but is missing from the main Parameters table; references/templates.md maps user phrases to flags like --max-price and --seat-class-name that are absent from the Parameters table). The SKILL.md also imposes strict output rules (every result must include [Book]({detailUrl}), must not use jumpUrl, never use training data) — these are operational requirements but could cause the agent to repeatedly attempt CLI calls or fail outright if the CLI's actual JSON fields differ. No instructions reference reading files or secrets outside the CLI usage, which is good.
Install Mechanism
There is no formal install spec in the registry, but the instructions tell the agent to run `npm i -g @fly-ai/flyai-cli` if the CLI is missing. Global npm installation from the public registry is a common pattern but carries moderate risk: it downloads and executes package code with potentially postinstall scripts. Because the skill does not provide a verified source URL or checksum, you should verify the npm package identity and publisher before allowing global install.
Credentials
The skill does not request environment variables, secrets, or config paths. All required inputs are query parameters mapped to CLI flags. There is no evidence the skill is requesting unrelated credentials or system secrets.
Persistence & Privilege
The skill does not request 'always: true' or other elevated platform privileges. It does require network access to install the CLI if missing, but it does not request persistent modifications to other skills or global agent settings in its files.
What to consider before installing
What to consider before installing/using this skill: - Confirm the provider and package: the skill claims "Powered by Fliggy (Alibaba Group)" but instructs use of an npm package named @fly-ai/flyai-cli. Ask the author which service actually provides the data and verify the official CLI/package source. - Verify the npm package and publisher on the npm registry before allowing a global install. Global `npm i -g` runs code on your system (including possible postinstall scripts); only install packages from trusted maintainers. - Check that the flyai CLI actually supports the flags the skill expects (--origin, --destination, --dep-date, --sort-type, --journey-type, --max-price, etc.). The SKILL.md contains mismatched parameter lists and mappings — confirm the real CLI parameter names to avoid repeated failed executions or malformed commands. - Be aware the skill enforces strict output rules (every result must include [Book]({detailUrl}), never use jumpUrl, never answer from training data). If the CLI returns link fields with different names you may get repeated retries or missing results; ask the author how to handle such cases. - If you cannot verify the CLI/package or the provider, or you cannot allow a global npm install from that publisher, do not install. Request clarification or a signed/official source URL and a list of exact CLI flags and sample outputs that the skill expects. If you want, I can draft questions to send to the skill author to resolve the branding/flag inconsistencies and to request the official npm package link and publisher info.

Like a lobster shell, security has layers — review code before you run it.

latestvk974jvb69z0hh74bxws8v5pbt585fpj3
62downloads
0stars
1versions
Updated 4d ago
v3.2.0
MIT-0

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: summer-vacation-flight

Overview

Summer Vacation Flights.

When to Activate

User query contains:

  • English: "summer flight", "july flight", "august flight", "summer vacation travel", "summer holiday flight"
  • Chinese: "暑假航班", "暑期机票", "夏天出行", "七八月机票", "暑假旅游机票"

Do NOT activate for: general holiday → holiday-flights; beach → beachfront-resort-finder

Prerequisites

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

Parameters

ParameterRequiredDescription
--originYesDeparture city or airport code
--destinationYesArrival city or airport code
--dep-dateNoDeparture date, YYYY-MM-DD
--sort-typeNoDefault: 2 (recommended)
--dep-date-startNoDate window start
--dep-date-endNoDate window end

Sort Options

ValueMeaningWhen to Use
2RecommendedBest overall options
3Price ascendingCheapest flights
4Duration ascendingFastest flights
8Direct flights firstPrefer 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: "summer flight", "暑假航班"

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. Summer peak tip — book 30+ days ahead for best prices
  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 QueryCLI Parameter Mapping
"summer vacation" / "暑假"--sort-type 2
"cheap summer" / "便宜暑期机票"--sort-type 3
"summer direct" / "暑期直飞"--journey-type 1 --sort-type 2

References

FilePurposeWhen to read
references/templates.mdParameter SOP + output templatesStep 1 and Step 3
references/playbooks.mdScenario playbooksStep 2
references/fallbacks.mdFailure recoveryOn failure
references/runbook.mdExecution logBackground

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