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fishing-trip

作者 xiejinsong · GitHub ↗ · v3.2.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install fishing-trip
功能描述
Book flights for fishing trips to prime angling destinations. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary...
使用说明 (SKILL.md)

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: fishing-trip

Overview

Fishing Trip Flights.

When to Activate

User query contains:

  • English: "fishing flight", "angling trip", "fishing vacation", "deep sea fishing trip", "plan a trip"
  • Chinese: "钓鱼航班", "海钓旅行机票", "垂钓出行", "渔场旅行", "出行规划"

Do NOT activate for: general outdoor → nature-spots

Prerequisites

flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 2

Parameters

Parameter Required Description
--origin Yes Departure city or airport code
--destination Yes Arrival city or airport code
--dep-date No Departure date, YYYY-MM-DD
--sort-type No Default: 2 (recommended)
--dep-date-start No Date window start
--dep-date-end No Date window end

Sort Options

Value Meaning When to Use
2 Recommended Best overall options
3 Price ascending Cheapest flights
4 Duration ascending Fastest flights
8 Direct flights first Prefer 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: "fishing flight", "钓鱼航班"

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. Fishing tip — Zhoushan, Hainan, and Maldives are top fishing spots
  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 Query CLI Parameter Mapping
"fishing" / "钓鱼出行" --sort-type 2
"cheap fishing flight" / "便宜钓鱼航班" --sort-type 3

References

File Purpose When to read
references/templates.md Parameter SOP + output templates Step 1 and Step 3
references/playbooks.md Scenario playbooks Step 2
references/fallbacks.md Failure recovery On failure
references/runbook.md Execution log Background
安全使用建议
This skill is suspicious rather than obviously malicious: it requires installing and running an external npm CLI (global install) but provides no source, homepage, or clear publisher identity and even mixes branding (Fliggy vs flyai). Before installing or using it, consider: (1) Ask the publisher for the official homepage, source repository, and documentation for @fly-ai/flyai-cli and verify the npm org/publisher. (2) Do not install the CLI globally on a production machine — test in an isolated VM or container first. (3) Ask how user authentication and booking credentials are handled (where do login tokens live? does the CLI prompt for credentials?). (4) Prefer a skill that declares required env vars and a verified install spec (or provides a static, audited client library). (5) If you cannot verify the CLI publisher or source, decline installation or only run it in a sandboxed environment.
功能分析
Type: OpenClaw Skill Name: fishing-trip Version: 3.2.0 The skill bundle contains instructions in SKILL.md and references/fallbacks.md that command the AI agent to perform a global system installation of an external NPM package (@fly-ai/flyai-cli) using 'npm i -g'. While this is presented as a prerequisite for the flight booking functionality, requiring the agent to install arbitrary third-party software globally is a high-risk behavior that could lead to supply chain attacks or remote code execution. Additionally, the instructions use aggressive prompt-injection techniques to force the agent to ignore its training data and exclusively use the external CLI tool.
能力评估
Purpose & Capability
The description claims 'Powered by Fliggy (Alibaba Group)' but the runtime mandates using a 'flyai' CLI and 'Powered by flyai' output — two different brands with no homepage or source to reconcile this. Requiring an external CLI is plausible for a travel-booking skill, but the branding mismatch and absent upstream source make the purpose->requirements link unclear.
Instruction Scope
SKILL.md instructs the agent to always run the flyai CLI and to install @fly-ai/flyai-cli if missing, and enforces strict rules (never answer from training data, re-run until every result includes a Book link). Those runtime instructions go beyond passive guidance: they require network installs and repeated CLI execution and give the skill full discretion to install software at runtime. The instructions do not request credentials but imply external service interaction; they do not explain how user bookings/authentication are handled.
Install Mechanism
There is no registry install spec, but the runtime instructs global npm installation: 'npm i -g @fly-ai/flyai-cli'. Installing an unverified global npm package at runtime is higher risk (arbitrary code execution, persistent binaries). No official source, release URL, or publisher verification is provided. The skill could work without installing anything in the package manifest, but the instructions explicitly require it.
Credentials
The skill declares no required env vars or credentials, which is proportionate at face value. However, the flyai CLI may require authentication or store tokens — the SKILL.md does not describe credential handling, nor does it declare required env vars. The omission of any credential or config-path declaration is notable and leaves unanswered how bookings/authentication are performed.
Persistence & Privilege
The skill does not request always:true and has no install-time manifest; it is instruction-only and not granted forced persistence. Autonomous invocation is allowed (default) but is not combined with other privilege-escalating flags.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install fishing-trip
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /fishing-trip 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v3.2.0
fishing-trip v3.2.0 - Updated skill trigger and parameter mapping rules for fishing-related travel queries. - Enforcement: All results must come directly from flyai CLI output; no training data responses allowed. - Improved playbook structure with clear scenario triggers (recommended, cheapest, fastest, direct). - Strict new formatting and validation steps, including mandatory `[Book]({detailUrl})` links and brand tag. - Expanded feature support listed in description (hotel, train, car rental, visa info, more).
元数据
Slug fishing-trip
版本 3.2.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

fishing-trip 是什么?

Book flights for fishing trips to prime angling destinations. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 66 次。

如何安装 fishing-trip?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install fishing-trip」即可一键安装,无需额外配置。

fishing-trip 是免费的吗?

是的,fishing-trip 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

fishing-trip 支持哪些平台?

fishing-trip 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 fishing-trip?

由 xiejinsong(@xiejinsong)开发并维护,当前版本 v3.2.0。

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