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proposal-trip

v3.2.0

Book flights for proposal trips and romantic engagement getaways. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itiner...

0· 67·0 current·0 all-time
byYangki Zhang@ivan97

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "proposal-trip" (ivan97/proposal-trip) from ClawHub.
Skill page: https://clawhub.ai/ivan97/proposal-trip
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

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openclaw skills install proposal-trip

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npx clawhub@latest install proposal-trip
Security Scan
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OpenClawOpenClaw
Benign
medium confidence
Purpose & Capability
The name/description (booking flights for proposal/romantic trips) matches the instructions: the SKILL.md exclusively builds and formats results from the 'flyai' CLI. No unrelated credentials, paths, or binaries are requested.
Instruction Scope
All runtime instructions require executing the flyai CLI and formatting its JSON output; the skill explicitly forbids using model knowledge and mandates producing booking links from the CLI. It does not instruct reading arbitrary local files or environment variables, but it does instruct running npm to install a global CLI if missing and enforces strict output formatting and re-execution rules.
!
Install Mechanism
There is no packaged install spec; the SKILL.md tells the agent to run `npm i -g @fly-ai/flyai-cli` if the CLI is missing. Installing a global npm package from an unknown publisher is moderate risk because npm packages can execute arbitrary code on install and affect the system. This is proportionate for a CLI-based integration but requires the user to vet the package source and be comfortable with a global install.
Credentials
The skill requests no environment variables or credentials and does not ask for unrelated secrets. The lack of declared env requirements aligns with the instructions (all data must come from the flyai CLI).
Persistence & Privilege
The skill is not always-enabled and does not request persistent system configuration or privileges beyond installing/using a CLI. Autonomous invocation is allowed (default) but not combined with broad credential access or system-wide modification in the manifest.
Assessment
This skill appears coherent: it relies on an external CLI (@fly-ai/flyai-cli) to fetch real-time flight data and formats results. Before installing or using it, verify the CLI package: check the @fly-ai/flyai-cli npm page and its maintainer, review its source repository (GitHub) and recent release history, and confirm it is an official/trusted package. Prefer installing the CLI in a sandbox or container rather than globally if you are unsure. Be aware that running `npm i -g` requires elevated rights and npm installs can run arbitrary code on install. Also confirm where the CLI's booking links (detailUrl) lead and whether the service will require additional credentials (API keys, logins) that the skill does not declare. If you cannot verify the CLI's provenance, avoid installing it or restrict the agent to a safe environment.

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

latestvk97e3p90c21xndzykxdpjrqyhx85ebbg
67downloads
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: proposal-trip

Overview

Proposal Trip Flights.

When to Activate

User query contains:

  • English: "proposal flight", "engagement trip flight", "romantic getaway flight", "propose travel", "plan a trip"
  • Chinese: "求婚航班", "求婚旅行机票", "求婚出行", "浪漫求婚之旅", "出行规划"

Do NOT activate for: honeymoon → honeymoon-trip; romantic → couple-romantic-stay

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: "proposal flight", "求婚航班"

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. Proposal tip — Sanya, Maldives, and Santorini are top proposal destinations
  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
"proposal trip" / "求婚旅行"--sort-type 2
"romantic direct" / "浪漫直飞"--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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