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investor-roadshow

v3.2.0

Book flights for investor roadshows and IPO fundraising travel. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerar...

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Install

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Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for dingtom336-gif/investor-roadshow.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "investor-roadshow" (dingtom336-gif/investor-roadshow) from ClawHub.
Skill page: https://clawhub.ai/dingtom336-gif/investor-roadshow
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 investor-roadshow

ClawHub CLI

Package manager switcher

npx clawhub@latest install investor-roadshow
Security Scan
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medium confidence
Purpose & Capability
Name, description and CLI commands (flyai search-flight) are coherent: the skill is a travel/roadshow booking helper and relies on a flight-search CLI. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md tightly constrains behavior to running the flyai CLI and formatting its JSON output; it does not instruct reading unrelated files or env vars. However it mandates installing the flyai CLI if absent and enforces strict re-execution rules (self-test requiring [Book](...) links) which could cause repeated CLI installs or retries if the environment is flaky.
!
Install Mechanism
There is no declared install spec in the registry metadata, yet the runtime instructions direct the agent to run `npm i -g @fly-ai/flyai-cli`. Installing an npm package from an unverified scope at runtime (global install) is a moderate-to-high risk: the package could contain arbitrary code, persist binaries on the system, or require elevated permissions.
Credentials
The skill requests no environment variables, credentials, or config paths beyond the use of the flyai CLI. The lack of requested secrets is appropriate for a search/booking helper.
Persistence & Privilege
always:false and no cross-skill config changes — good. But the mandated global npm install writes binaries to the system (persistence) and may require elevated rights; that increases the blast radius compared to an instruction-only skill that uses preinstalled tools.
What to consider before installing
This skill looks like a legitimate travel-booking wrapper around a third-party CLI, but it requires installing `@fly-ai/flyai-cli` at runtime via `npm i -g` from an unverified npm scope. Installing global npm packages runs code on your machine and can persist binaries; because the package and publisher are not declared in the skill metadata, you should be cautious. Before installing or allowing the agent to run this skill: (1) Inspect the npm package (@fly-ai/flyai-cli) on the npm registry and review its source and publisher; (2) Prefer running the CLI installation manually in a controlled environment (sandbox or container) rather than letting the agent run `npm i -g`; (3) Verify you are comfortable with a global install (permission/elevation); (4) If you cannot vet the package, decline or ask for an alternative skill that uses a well-known API or a declared install spec. If you choose to proceed, limit the agent's privileges and monitor the system for unexpected changes.

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

latestvk970ahry149fm7g362aykvyk4h85fgym
58downloads
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: investor-roadshow

Overview

Investor Roadshow Flights.

When to Activate

User query contains:

  • English: "roadshow flight", "ipo roadshow travel", "investor meeting flight", "fundraising trip", "travel booking", "trip search"
  • Chinese: "路演航班", "IPO路演机票", "投资者会议出行", "融资出差", "出行预订"

Do NOT activate for: corporate → corporate-travel; business → business-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)
--seat-class-nameNoeconomy/business
--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: "roadshow flight", "路演航班"

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. Roadshow tip — book business class for red-eye segments; multi-city needs separate bookings
  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
"roadshow" / "路演出行"--seat-class-name business --sort-type 2
"multi-city roadshow" / "多城路演"--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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