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nightlife-trip

v3.2.0

Book flights for nightlife trips featuring night markets and entertainment districts. Also supports: flight booking, hotel reservation, train tickets, attrac...

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

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Security Scan
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OpenClawOpenClaw
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medium confidence
Purpose & Capability
Name/description (book flights for nightlife trips) align with the SKILL.md: everything centers on running the 'flyai' CLI to search flights and format results. However the description cites 'powered by Fliggy (Alibaba Group)' while the runtime exclusively requires 'flyai' CLI; no details or credentials tying flyai to Fliggy are provided. That difference is unexplained but could be legitimate (third-party aggregator).
Instruction Scope
SKILL.md is strict and scoped: it requires every answer to come from the flyai CLI, forbids using training data, and only references CLI commands and its provided reference files. It does not instruct reading unrelated files or environment variables. It does, however, require re-running the CLI until a [Book]({detailUrl}) link is present which could cause repeated network calls.
!
Install Mechanism
No install spec is declared in the registry metadata, yet the SKILL.md instructs installing an npm package globally (npm i -g @fly-ai/flyai-cli) if flyai is missing. Global npm installs execute package install scripts from the public registry and write to disk; because the skill metadata provides no provenance (no homepage/source) this introduces a non-trivial supply-chain risk and is a mismatch between declared install behavior and metadata.
Credentials
The skill requests no environment variables or credentials in metadata, which is consistent with an instruction-only wrapper that relies on a CLI. However real booking flows often require authentication; the SKILL.md does not explain how auth is handled by the CLI or whether the user must provide credentials elsewhere. Absence of credential requests is not inherently wrong but leaves an unanswered question about where booking/auth happens.
Persistence & Privilege
The skill is not forced always-on, does not request special config paths, and does not modify other skills. Agent autonomous invocation is allowed (default), which is normal; nothing in the skill claims unusual persistence or elevated privileges.
What to consider before installing
This skill appears to be a thin wrapper around a third-party CLI (flyai). Before installing or enabling it: 1) Verify the provenance of the npm package @fly-ai/flyai-cli (check the package page, author, repository, and recent publish history on npm). 2) Prefer installing the CLI manually and inspecting it first rather than allowing the agent to run npm -g automatically—global installs can run arbitrary code. 3) Ask the skill author how authentication/booking is handled (does the CLI require user credentials or local config?) and where booking links resolve. 4) If you need tighter security, limit autonomous invocation or run the skill in a restricted/test environment. If you cannot verify the flyai package/source or the author, treat the skill as untrusted.

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

latestvk9790s0t6qb8yc9bgsn2rbzyp985h3x4
48downloads
0stars
1versions
Updated 2d 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: nightlife-trip

Overview

Nightlife Trip Flights.

When to Activate

User query contains:

  • English: "nightlife flight", "night market flight", "bar district travel", "party destination flight", "plan a trip"
  • Chinese: "夜生活航班", "夜市旅行", "酒吧街出行", "蹦迪出行", "夜游航班"

Do NOT activate for: general food → food-tour

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: "nightlife flight", "夜生活航班"

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. Nightlife tip — Bangkok, Tokyo, and Shanghai are top nightlife cities
  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
"nightlife" / "夜生活出行"--sort-type 2
"late arrival" / "晚到航班"--dep-hour-start 14 --dep-hour-end 20 --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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