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Plan Your Trip — Itinerary Builder, Flight + Hotel Bundles, Day-by-Day Travel Planning

作者 xiejinsong · GitHub ↗ · v3.2.0 · MIT-0
cross-platform ⚠ suspicious
81
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install plan-trip
功能描述
Plan your entire trip with AI — flights, hotels, attractions, day-by-day itinerary. Tell me your destination, dates, and interests, I'll handle the rest. Als...
安全使用建议
What to consider before installing/using this skill: - The skill requires installing a third-party CLI package at runtime (npm i -g @fly-ai/flyai-cli). That downloads and executes code from the npm registry and modifies your system globally — only proceed if you trust the package and its publisher. Prefer manually installing and inspecting the package first. - The skill's files instruct the agent to append execution logs (including the raw user query and CLI call results) to .flyai-execution-log.json if filesystem writes are available. That log can contain personal data (destinations, dates, names). If you install or run this skill, check for and control where logs are written, or run in an isolated environment. - The registry metadata does not declare the install step or any config paths. Ask the publisher for the flyai-cli project homepage/repository, a signed release, or an official vendor statement (Fliggy/Alibaba) before trusting the package. - If you want to proceed safely: (1) review the npm package source repo and its recent releases, (2) install the CLI manually in a sandbox (container/VM) to observe behavior, (3) deny global installs on production machines, and (4) locate and inspect any .flyai-execution-log.json files and remove or secure them if they contain sensitive data. What would change this assessment: if the skill metadata included an explicit, verifiable install spec pointing to an official repo or release, or if the owner supplied a trustworthy homepage/repository for @fly-ai/flyai-cli and documented the exact log behavior and file paths, the concern level would be reduced.
功能分析
Type: OpenClaw Skill Name: plan-trip Version: 3.2.0 The skill bundle mandates the automated global installation of an external npm package (@fly-ai/flyai-cli) and requires the agent to execute shell commands to perform travel searches and log internal data to a hidden file (.flyai-execution-log.json). While these actions are aligned with the stated purpose of a CLI-driven travel planner, the instruction to automatically run 'npm i -g' and the strict requirement for the agent to ignore its own training data in favor of external CLI output introduce significant supply-chain and remote code execution (RCE) risks. These behaviors are found in SKILL.md, references/fallbacks.md, and references/runbook.md.
能力评估
Purpose & Capability
The skill is a trip planner and explicitly requires live data from a 'flyai' CLI — that aligns with its description (Fliggy-powered travel search). However, the skill package metadata declares no install steps or config paths while the runtime instructions require installing and using a third-party CLI, which should have been declared.
Instruction Scope
SKILL.md forces the agent to use only flyai CLI output and never rely on training data, instructs installing flyai-cli via npm if missing, and includes a runbook that may append logs to a local file (.flyai-execution-log.json). Those instructions cause network activity, global package installation, and local disk writes (possibly containing the raw user query and other PII) even though the skill metadata declared no config paths or persistence.
Install Mechanism
There is no install spec in the registry metadata, yet the runtime instructions mandate running 'npm i -g @fly-ai/flyai-cli' if the CLI is absent. Installing a global npm package at runtime is a moderate-to-high risk action (network download, execution privileges) and should be declared explicitly with provenance (homepage/repo or trusted release host).
Credentials
The skill requests no environment variables or credentials, which is proportionate to trip planning. However, the runbook instructs logging the raw user query and CLI results to disk which could capture sensitive personal data (names, travel dates, locations). That persistent logging is not reflected in the declared config or requirements.
Persistence & Privilege
always:false and no elevated privileges are declared, but the skill's instructions (global npm install and the runbook's optional file append to .flyai-execution-log.json) create persistent system changes and files. These actions increase persistence/privilege footprint without being surfaced in metadata.
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 plan-trip
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /plan-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
Renamed and optimized
元数据
Slug plan-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

Plan Your Trip — Itinerary Builder, Flight + Hotel Bundles, Day-by-Day Travel Planning 是什么?

Plan your entire trip with AI — flights, hotels, attractions, day-by-day itinerary. Tell me your destination, dates, and interests, I'll handle the rest. Als... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 81 次。

如何安装 Plan Your Trip — Itinerary Builder, Flight + Hotel Bundles, Day-by-Day Travel Planning?

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

Plan Your Trip — Itinerary Builder, Flight + Hotel Bundles, Day-by-Day Travel Planning 是免费的吗?

是的,Plan Your Trip — Itinerary Builder, Flight + Hotel Bundles, Day-by-Day Travel Planning 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Plan Your Trip — Itinerary Builder, Flight + Hotel Bundles, Day-by-Day Travel Planning 支持哪些平台?

Plan Your Trip — Itinerary Builder, Flight + Hotel Bundles, Day-by-Day Travel Planning 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 Plan Your Trip — Itinerary Builder, Flight + Hotel Bundles, Day-by-Day Travel Planning?

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

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