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trade-fair

v3.2.0

Book flights for trade fairs and exhibition travel. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planning,...

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "trade-fair" (liquanyu123/trade-fair) from ClawHub.
Skill page: https://clawhub.ai/liquanyu123/trade-fair
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

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

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openclaw skills install trade-fair

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npx clawhub@latest install trade-fair
Security Scan
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!
Purpose & Capability
The skill claims 'powered by Fliggy (Alibaba Group)' but the runtime strictly requires a CLI named 'flyai' and installation of '@fly-ai/flyai-cli'. There is no homepage or source repository provided to confirm the connection between Fliggy and the flyai package. That branding mismatch and missing provenance are unexpected for a travel-booking integration and reduce trust.
!
Instruction Scope
SKILL.md forces the agent to always run the flyai CLI for every answer and to install an npm package if the CLI is missing. It also mandates strict output constraints (every result must include a [Book](detailUrl) link) and requires re-execution until checks pass. Those rules could cause repeated CLI execution or loops. The instructions do not ask for or describe handling of user authentication/payment flows (which are commonly needed for bookings).
Install Mechanism
There is no install specification in the manifest, but the runtime instructions tell the agent to run 'npm i -g @fly-ai/flyai-cli' if the CLI is absent. Installing a global npm package from the public registry is moderate risk: the package is unverified here (no homepage, no repository link). However, this is a standard distribution method for CLIs and there's no direct evidence of obscure downloads or archive extraction.
Credentials
The skill declares no required environment variables or credentials, which is proportionate on the surface. However, booking flows often require authentication/payment; the SKILL.md is silent on how credentials (if any) are provided to the flyai CLI. That omission could lead to unclear behavior or unexpected prompts from the CLI requiring secrets at runtime.
Persistence & Privilege
The skill is not always-enabled, does not request elevated privileges, and does not modify other skills or system-wide agent settings. Its only persistence action is recommending installation of a global npm CLI, which is within normal behavior for a CLI-based skill.
What to consider before installing
This skill appears to be a honest CLI-driven flight search tool, but there are red flags you should consider before installing or using it: - Branding mismatch: the SKILL.md claims 'Powered by Fliggy (Alibaba Group)' but the runtime requires installing '@fly-ai/flyai-cli'—there's no homepage, repository, or documentation to verify this relationship. Ask the publisher for provenance and a link to the CLI's source. - Unverified npm package: the instructions tell you to run 'npm i -g @fly-ai/flyai-cli' if the CLI is missing. Installing a global npm package grants code the ability to run on your machine. Only install if you can inspect the package (npm page, repository, or published source) and trust the publisher. - Possible runtime prompts for credentials/payments: the skill doesn't explain how bookings are authenticated or how payments are handled. Be prepared for the CLI to prompt for credentials or to open external booking pages; avoid entering secrets unless you understand where they go. - Risk of repeated execution: the skill enforces re-running the CLI when its validation rules fail (e.g., missing [Book] links), which could result in repeated network calls. Consider running the CLI in a sandbox or test environment first. Recommended actions before installing or enabling this skill: 1. Request the CLI package's npm page and source repository from the author and review them (README, maintainer, issues, version history). 2. Verify whether 'flyai' actually interfaces with Fliggy or another provider. 3. If you must test, run npm installations in an isolated environment (container/VM) rather than on your primary workstation. 4. Do not provide sensitive credentials to the skill until you confirm how they are stored and used. 5. If you cannot verify provenance, decline installation or mark the skill as untrusted.

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

latestvk97btd36r8jtdh6079t8rrgwr185evv7
56downloads
0stars
1versions
Updated 3d 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: trade-fair

Overview

Trade Fair Flights.

When to Activate

User query contains:

  • English: "trade fair flight", "exhibition flight", "trade show travel", "expo flight", "canton fair flight"
  • Chinese: "展会航班", "广交会机票", "贸易展览出行", "博览会机票", "出行预订"

Do NOT activate for: conference → conference; business → business-flights

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: "trade fair flight", "展会航班"

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. Trade fair tip — Guangzhou Canton Fair, Shanghai, and Shenzhen host major expos
  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
"trade fair" / "展会出行"--sort-type 2
"canton fair" / "广交会"--destination Guangzhou --sort-type 2
"expo business class" / "展会商务舱"--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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