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multi-airline-compare

v3.2.0

Search and compare flights across multiple airlines for best deals. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itin...

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Prompt PreviewInstall & Setup
Install the skill "multi-airline-compare" (xiejinsong/multi-airline-compare) from ClawHub.
Skill page: https://clawhub.ai/xiejinsong/multi-airline-compare
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.

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Purpose & Capability
The skill claims to compare flights and its instructions consistently require running a 'flyai' CLI to perform searches — that is coherent. However the description asserts 'powered by Fliggy (Alibaba Group)' while the runtime enforces use of an npm package '@fly-ai/flyai-cli' (no homepage or source provided). The vendor/branding claim and the actual required CLI are not corroborated, which is an unexplained inconsistency.
Instruction Scope
SKILL.md confines behavior to building and running specific 'flyai' CLI commands, collecting user parameters, formatting results, and validating links. It does not instruct reading unrelated local files or environment variables, nor does it direct data to unknown endpoints in the instructions. The strict rule to never answer from training data is unusual but internally consistent with the CLI-first design.
!
Install Mechanism
There is no install spec in the registry; instead the SKILL.md instructs the agent to run 'npm i -g @fly-ai/flyai-cli' if the CLI is missing. Having the agent install a global npm package at runtime is moderate-to-high risk: the package is unvetted here (no homepage, no source listed), global npm installs execute arbitrary code, and the skill provides no checksum or official release host to validate integrity.
Credentials
The skill requests no environment variables, no credentials, and no config paths. This matches the described CLI-driven workflow and is proportionate to the stated purpose.
Persistence & Privilege
The skill is not always-enabled and does not request elevated or persistent system privileges. There is no instruction to modify agent-wide settings or other skills' configs.
What to consider before installing
This skill is coherent in that it requires a CLI and contains clear playbooks, but take the following precautions before installing or invoking it: (1) Confirm the provenance of the 'flyai' CLI and the npm package '@fly-ai/flyai-cli' — check the npm page, package maintainer, and source repository; do not blindly run 'npm i -g' for an unreviewed package. (2) Verify the 'Powered by Fliggy (Alibaba Group)' claim with the skill author — the branding may be inaccurate or misleading. (3) If you must test, do so in a sandboxed environment (container or VM) to avoid accidental execution of untrusted global installs. (4) Ask the author for an official homepage, repository link, and package checksum or prefer an officially published/maintained CLI. (5) If you cannot validate the CLI's origin, decline installation and request that the skill author provide a verified integration (e.g., an official API with credentials) or a vetted install artifact.

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

latestvk97826pyev7gqg0y62hpfx152h85f7az
59downloads
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: multi-airline-compare

Overview

Multi Airline Compare.

When to Activate

User query contains:

  • English: "compare airlines", "multi airline flight", "best airline deal", "carrier comparison flight", "multi travel"
  • Chinese: "多航司比价", "航空公司对比机票", "跨航司比价", "最佳航司选择", "出行预订"

Do NOT activate for: compare hotels → compare-hotels; cheap → economy-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: "compare airlines", "多航司比价"

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. Compare tip — sort-type 3 (price) vs 4 (duration) reveals trade-offs
  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
"compare airlines" / "多航司比价"--sort-type 2
"cheapest airline" / "最便宜航司"--sort-type 3
"fastest airline" / "最快航司"--sort-type 4

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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