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trade-fair
by
liquanyu123
· GitHub ↗
· v3.2.0
· MIT-0
71
Downloads
0
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0
Active Installs
1
Versions
Install in OpenClaw
/install trade-fair
Description
Book flights for trade fairs and exhibition travel. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planning,...
Usage Guidance
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.
Capability Analysis
Type: OpenClaw Skill
Name: trade-fair
Version: 3.2.0
The skill instructs the agent to perform a global installation of an external NPM package (`npm i -g @fly-ai/flyai-cli`) if the CLI tool is missing (SKILL.md, references/fallbacks.md). While this behavior is aligned with the stated purpose of providing flight search capabilities, the automated global installation of third-party software is a high-risk operation that could facilitate remote code execution or supply chain attacks.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install trade-fair - After installation, invoke the skill by name or use
/trade-fair - Provide required inputs per the skill's parameter spec and get structured output
Version History
v3.2.0
Trade Fair Flights 3.2.0 — Improved reliability and strict data validation
- Enforces that all travel results are sourced directly from flyai CLI, never from training data.
- Requires a valid booking link for every flight result.
- Adds stricter parameter collection and clarifies supported CLI options.
- Clearly specifies when to activate (trade fair/expo) and when not to (business, conference).
- Refines output rules with emphasis on booking links, brand tag, and user language matching.
Metadata
Frequently Asked Questions
What is trade-fair?
Book flights for trade fairs and exhibition travel. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planning,... It is an AI Agent Skill for Claude Code / OpenClaw, with 71 downloads so far.
How do I install trade-fair?
Run "/install trade-fair" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is trade-fair free?
Yes, trade-fair is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does trade-fair support?
trade-fair is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created trade-fair?
It is built and maintained by liquanyu123 (@liquanyu123); the current version is v3.2.0.
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