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qingming-flight

v3.2.0

Book Qingming Festival flights for Tomb Sweeping Day travel and spring outings. Also supports: flight booking, hotel reservation, train tickets, attraction t...

0· 68·0 current·0 all-time
byYangki Zhang@ivan97

Install

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

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npx clawhub@latest install qingming-flight
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OpenClawOpenClaw
Benign
medium confidence
Purpose & Capability
The skill's name/description (Qingming flight booking) align with the runtime instructions: it requires querying a 'flyai' CLI for real-time flight data. Minor inconsistency: the description says 'powered by Fliggy (Alibaba Group)' while the tooling is 'flyai' CLI — this could be a harmless copy/edit error or a branding mismatch to confirm.
Instruction Scope
SKILL.md confines the agent to using only flyai CLI output and explicitly forbids using training data or fabricating results. It does not instruct reading unrelated files or environment variables. The 're-execute until a [Book](...) link is present' rule is strict and could produce repeated CLI runs, but is coherent with the stated goal.
Install Mechanism
The skill is instruction-only (no install spec), but mandates installing a global npm package at runtime: `npm i -g @fly-ai/flyai-cli`. Installing an npm CLI executes third‑party code from the npm registry (traceable but not pre-reviewed) and writes files to disk — a moderate-risk action that is proportionate to a CLI-driven booking skill but worth verifying before running.
Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportionate to its described behavior (calls a CLI). Note: if the flyai CLI itself later requires API keys, those would be outside this SKILL.md and should be reviewed separately.
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and has no install-time persistence specified in SKILL.md. Normal autonomous invocation is allowed (platform default).
Assessment
This skill is coherent for a CLI-based flight-booking assistant, but it will attempt to install and run a global npm package (@fly-ai/flyai-cli) if the CLI is missing. Installing global npm packages runs third-party code on your machine and can execute install scripts. Before installing: 1) verify the package on the npm registry (publisher, download counts, repository URL, README), 2) prefer installing in a controlled environment (container or VM) if you are unsure, 3) confirm whether the CLI requests any API keys or credentials (the SKILL.md doesn't list any), and 4) check the branding mismatch (Fliggy vs flyai) with the skill author or registry to ensure it's legitimate. If you are uncomfortable running npm -g installs or cannot verify the package, do not install this skill.

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

latestvk970vqcfyjywyn5tzx1nq3jw9185esc2
68downloads
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: qingming-flight

Overview

Qingming Flights.

When to Activate

User query contains:

  • English: "qingming flight", "tomb sweeping flight", "april 4 flight", "spring outing flight", "book a flight"
  • Chinese: "清明航班", "清明节机票", "扫墓航班", "踏青机票", "订机票"

Do NOT activate for: general holiday → holiday-flights; cherry blossom → cherry-blossom-trip

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: "qingming flight", "清明航班"

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. Qingming tip — usually 3-day holiday, short-haul spring trips popular
  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
"qingming" / "清明出行"--sort-type 2
"cheap qingming" / "便宜清明机票"--sort-type 3

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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