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anniversary-flight

v3.2.0

Book flights for anniversary celebrations and milestone occasions. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itine...

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Install

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Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for dingtom336-gif/anniversary-flight.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "anniversary-flight" (dingtom336-gif/anniversary-flight) from ClawHub.
Skill page: https://clawhub.ai/dingtom336-gif/anniversary-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.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install anniversary-flight

ClawHub CLI

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npx clawhub@latest install anniversary-flight
Security Scan
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!
Purpose & Capability
The skill claims to be "powered by Fliggy (Alibaba Group)" but requires use of a 'flyai' CLI (@fly-ai/flyai-cli). That provider mismatch is unexplained. Requiring a third‑party CLI for live search is plausible for a booking skill, but the declared homepage/source are missing and there is no explanation why 'flyai' (not Fliggy) is needed — this inconsistency reduces trust.
Instruction Scope
SKILL.md tightly restricts all answers to results produced by the flyai CLI and forbids using training data. This is coherent with a real-time booking workflow, but the instructions also mandate installing and running npm i -g @fly-ai/flyai-cli if the binary is absent and demand re-execution until [Book](...) links appear. That can cause the agent to repeatedly install/run arbitrary third-party code and loop attempting to satisfy link checks.
!
Install Mechanism
There is no declared install spec in the skill metadata; instead installation is embedded in runtime instructions that call npm i -g @fly-ai/flyai-cli. Installing a global npm package at runtime is a moderate-to-high risk action because npm packages execute code and the package's provenance is not documented. The skill does not reference a trusted release host or verify the package identity.
Credentials
The skill requests no environment variables or credentials in metadata, which is proportional. However, the flyai CLI might itself require credentials or prompt for tokens; the skill does not document how credentials are managed or whether secrets will be stored/exposed. This omission is a gap that could have privacy/credential implications.
Persistence & Privilege
The skill does not request persistent 'always' inclusion and does not claim to modify other skills or system-wide configs. It does instruct global npm installs, which affect the host, but it does not request elevated platform privileges in metadata.
What to consider before installing
This skill is plausibly a travel-booking helper, but it has three actionable red flags you should consider before installing: (1) The SKILL.md requires installing and running an external npm package (@fly-ai/flyai-cli) at runtime even though the skill metadata has no install declaration — installing global npm packages lets arbitrary code run on your host. (2) The skill claims it's "powered by Fliggy" but uses a different provider/CLI (flyai); that mismatch suggests poor provenance or mislabeling. (3) The skill does not document how API credentials (if any) are handled by the CLI. If you plan to use it: only proceed if you can verify the npm package author and source (check the npm registry page, package owner, and recent publish history), run installs in a controlled environment (container or VM), and confirm how the CLI stores or requests credentials. If you cannot verify the flyai package or you cannot accept global npm installs, do not use this skill.

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

latestvk976e60tm3z35m3fd7pgpff31185fg2c
61downloads
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: anniversary-flight

Overview

Anniversary Flight.

When to Activate

User query contains:

  • English: "anniversary flight", "milestone flight", "celebration flight", "special occasion travel", "book a flight"
  • Chinese: "纪念日航班", "周年庆机票", "特殊纪念出行", "里程碑庆祝", "订机票"

Do NOT activate for: romantic → couple-romantic-stay; anniversary → anniversary

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)
--seat-class-nameNoeconomy/business

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: "anniversary flight", "纪念日航班"

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. Anniversary tip — upgrade to business class for special occasions
  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
"anniversary" / "纪念日出游"--sort-type 2
"anniversary business class" / "纪念商务舱"--seat-class-name business --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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