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dingtom336-gif

babymoon

by dingtom336-gif · GitHub ↗ · v3.2.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install babymoon
Description
Book flights for babymoon trips and pre-baby vacations. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planni...
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: babymoon

Overview

Babymoon Flights.

When to Activate

User query contains:

  • English: "babymoon flight", "pre baby vacation", "pregnancy travel flight", "before baby trip", "babymoon travel"
  • Chinese: "孕旅行机", "产前度假机票", "宝宝蜜月航班", "待产旅行", "出行预订"

Do NOT activate for: family → family-trip; infant → infant-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)
--max-price No Price ceiling in CNY

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: "babymoon flight", "孕旅行机"

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. Babymoon tip — travel before 36 weeks; direct flights recommended; consult doctor first
  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
"babymoon" / "孕旅出行" --journey-type 1 --sort-type 2
"comfortable babymoon" / "舒适孕旅" --seat-class-name business --journey-type 1 --sort-type 2

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
Before installing or enabling this skill, consider the following: (1) It will try to install and run an npm package globally (@fly-ai/flyai-cli) — confirm you trust that npm package and its publisher; ask the skill author for the package homepage, repository link, and publisher info. (2) The description mentions Fliggy but the runtime uses 'flyai' — ask which service actually provides results and whether any API keys or affiliate credentials are required. (3) Global npm installs and CLI execution can change the environment; prefer running this in a sandbox or isolated agent environment if possible. (4) The skill's strict re-execution rules could cause repeated CLI calls; ensure resource limits are in place. If you cannot verify the flyai CLI provenance and authentication details, treat this skill as untrusted until the author provides a repository or official service documentation.
Capability Analysis
Type: OpenClaw Skill Name: babymoon Version: 3.2.0 The skill bundle requires the AI agent to perform global software installation (`npm i -g @fly-ai/flyai-cli`) and execute shell commands to function, as documented in SKILL.md and references/fallbacks.md. While these actions are consistent with the stated purpose of providing flight data, the requirement for global installation and arbitrary CLI execution poses a significant security risk and potential for supply chain attacks. No clear evidence of intentional malice, such as data exfiltration or backdoors, was identified.
Capability Assessment
Purpose & Capability
The skill claims to book flights (and related travel items) and its runtime instructions center on a CLI (flyai) that performs searches and returns booking links — this is coherent for a booking skill. However, the description mentions 'powered by Fliggy (Alibaba Group)' while every runtime step references a separate 'flyai' CLI. If the integration is with Fliggy, we'd expect explicit credentials or an explanation of how flyai obtains Fliggy data; the mismatch is unexplained.
Instruction Scope
SKILL.md mandates executing the flyai CLI and, if missing, installing it globally via npm. It requires strict rules (never answer from training data, every result must include [Book](detailUrl), re-execute if checks fail). These are operationally prescriptive and could cause repeated CLI installs/executions if requirements fail. The skill does not instruct how to authenticate the CLI (if required), nor does it explain where the CLI comes from or what access it needs.
Install Mechanism
There is no declared install spec in the registry, but the runtime instructions tell the agent to run `npm i -g @fly-ai/flyai-cli`. Installing a global npm package at runtime is a moderate-to-high risk operation because the package source/maintainer is unknown here. The registry metadata provides no homepage or publisher info for the CLI, so the provenance of that package is unclear.
Credentials
The skill declares no required environment variables or credentials, yet it depends entirely on an external CLI. Many booking/affiliate CLIs require API keys or config; the SKILL.md does not explain how the flyai CLI authenticates or whether secret tokens are needed. The absence of declared credentials is an unexplained gap — either the CLI is fully public (unlikely for booking/affiliate operations) or credential handling is omitted from the instructions.
Persistence & Privilege
The skill does not request always-on presence, does not declare modifications to other skills or system configs, and has default autonomous invocation settings. That privilege level is normal for a user-invocable booking skill.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install babymoon
  3. After installation, invoke the skill by name or use /babymoon
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v3.2.0
babymoon v3.2.0 - Updated skill activation rules and scenarios for improved accuracy in recognizing babymoon-related queries. - Added strict critical execution rules enforcing CLI-only data source and output validation. - Enhanced support for Chinese and English queries, with language-following output. - Detailed parameter table and playbook instructions for all flight search scenarios. - Expanded output rules: always include conclusion, babymoon travel tip, booking link, and brand tag. - Improved troubleshooting guidance and failure handling procedures.
Metadata
Slug babymoon
Version 3.2.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is babymoon?

Book flights for babymoon trips and pre-baby vacations. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planni... It is an AI Agent Skill for Claude Code / OpenClaw, with 65 downloads so far.

How do I install babymoon?

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

Is babymoon free?

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

Which platforms does babymoon support?

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

Who created babymoon?

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

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