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cycling-trip

v3.2.0

Book flights for cycling trips and bike tours. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planning, visa...

0· 69·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for xiejinsong/cycling-trip.

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

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

OpenClaw CLI

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openclaw skills install cycling-trip

ClawHub CLI

Package manager switcher

npx clawhub@latest install cycling-trip
Security Scan
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OpenClawOpenClaw
Benign
medium confidence
Purpose & Capability
The skill claims to book flights and other travel items and its runtime relies entirely on a 'flyai' CLI to perform searches and supply booking links — this is coherent. Minor mismatch: description references 'Fliggy (Alibaba Group)' while the CLI/package referenced is '@fly-ai/flyai-cli' (different names); this could be benign branding imprecision or indicate the package is not the vendor implied in the description.
Instruction Scope
SKILL.md confines runtime actions to installing/verifying and invoking the flyai CLI, collecting user parameters, formatting CLI JSON output, and ensuring each result includes a [Book]({detailUrl}) link. It does not instruct reading unrelated files, accessing unrelated env vars, or exfiltrating data beyond CLI calls and formatted output.
Install Mechanism
There is no registry install spec; instead the runtime instructions tell the agent to run 'npm i -g @fly-ai/flyai-cli' if the CLI is missing. Installing a global npm package executes third-party code and install scripts (moderate risk). The package appears to come from the public npm ecosystem (traceable) rather than an arbitrary download URL, but the skill's package publisher should be verified before installing globally.
Credentials
The skill requests no environment variables, credentials, or config paths. That aligns with its stated behavior (it only searches and provides booking links). It does not ask for payment credentials or user accounts; note that actual ticket purchase would typically require authentication outside this skill's scope.
Persistence & Privilege
The skill is not always-enabled and does not request elevated or persistent privileges. It does not attempt to modify other skills or system-wide configs in the provided instructions.
Assessment
This skill looks coherent for a CLI-driven flight search helper, but before installing/running anything: 1) Verify the npm package '@fly-ai/flyai-cli' on the npm registry (publisher, repository URL, recent versions, and reviews) to confirm it is the legitimate vendor you expect (especially because the SKILL.md mentions 'Fliggy' which may not match the package author). 2) Prefer installing/testing the CLI in a controlled environment (container, VM, or non-root user) rather than running a global npm install on a critical host — global installs can run install scripts. 3) Be aware the skill only returns booking links (it doesn't perform payments); never provide payment credentials to the agent. 4) If you cannot validate the CLI publisher/repository, treat this as higher-risk and avoid installing it system-wide.

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

latestvk97bktw0zw99erqbqmgtphhw8d85fxmn
69downloads
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: cycling-trip

Overview

Cycling Trip Flights.

When to Activate

User query contains:

  • English: "cycling flight", "bike tour flight", "bicycle trip", "cycling vacation", "plan a trip"
  • Chinese: "骑行航班", "自行车旅行机票", "骑行出行", "单车之旅", "出行规划"

Do NOT activate for: general sports → sports-flight

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: "cycling flight", "骑行航班"

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. Cycling tip — Taiwan, Hainan, and Qinghai Lake are famous cycling routes
  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
"cycling" / "骑行出行"--sort-type 2
"bike tour direct" / "骑行直飞"--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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