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T
作者
dingtom336-gif
· GitHub ↗
· v3.2.0
· MIT-0
68
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install test-1775893839
功能描述
Check weather forecasts and best travel seasons for any destination — temperature ranges, rainy seasons, typhoon risks, and what to wear. Also supports: flig...
安全使用建议
This skill is plausible but has red flags: (1) SKILL.md forces use of a third-party CLI (@fly-ai/flyai-cli) and tells the agent to install it globally — verify the npm package exists and is trustworthy before allowing the agent to run 'npm i -g'. (2) The doc mentions Fliggy as the provider but uses a different CLI (flyai); ask the author to explain how Fliggy integration/auth works and whether any API keys are required. (3) The instructions reference local files (references/*.md) that are not bundled — this will likely cause runtime errors. (4) The 'Self-test' requirement to re-run until a [Book](...) link appears could cause repeated executions if the CLI output format changes or fails. Recommend requesting: the package homepage/registry link for @fly-ai/flyai-cli, explicit auth requirements (what credentials are needed and where they are stored), and a corrected SKILL.md that either includes referenced templates or removes references. If you do not trust the npm package or cannot verify the provider, do not grant the agent permission to run global npm installs.
功能分析
Type: OpenClaw Skill
Name: test-1775893839
Version: 3.2.0
The skill mandates the global installation of an external NPM package (@fly-ai/flyai-cli) and uses aggressive prompt instructions to force the agent to execute CLI commands. It also references several missing files (e.g., references/templates.md, references/playbooks.md) for its core logic and parameter handling. While the behavior is aligned with the stated travel-service purpose, the requirement for high-privilege global installation and the lack of transparency regarding the referenced files represent a significant security risk.
能力评估
Purpose & Capability
The skill claims travel-weather and booking functionality 'powered by Fliggy', but all operational commands target a 'flyai' CLI (@fly-ai/flyai-cli). No credentials or service endpoints for Fliggy/booking are requested or documented. Booking capabilities usually require API keys or user auth; their absence and the Fliggy/flyai mismatch is inconsistent.
Instruction Scope
SKILL.md mandates using only flyai CLI outputs (never model knowledge), requires a global npm install at runtime, and enforces every response include a [Book]({detailUrl}) link. It also references several local docs (references/*.md) that are not included in the skill bundle — the agent would attempt to read non-existent files. The 'Self-test' rule (re-run if no links) could create repeated re-execution loops if the CLI fails to return expected fields.
Install Mechanism
No formal install spec is present in the registry (instruction-only), but SKILL.md instructs the agent to run 'npm i -g @fly-ai/flyai-cli' if flyai is missing. Installing a global npm package at runtime is a moderate-risk action: it's traceable (npm package), but the registry/maintainer trust and package behavior should be verified before allowing the agent to run it.
Credentials
The skill declares no required env vars or credentials despite offering booking and Fliggy-powered features, which typically require authentication. That omission could mean auth is handled by the CLI interactively or stored locally, but the lack of explicit credential requirements is unexpected and should be clarified.
Persistence & Privilege
The skill does not request 'always: true' and doesn't modify other skills or global agent config in the manifest. The primary extra privilege is the instruction to perform a global npm install at runtime, but that's an action the agent will execute only when invoked.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install test-1775893839 - 安装完成后，直接呼叫该 Skill 的名称或使用
/test-1775893839触发 - 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
travel-weather 3.2.0 — Major update with stricter execution rules and expanded features.
- Strictly enforces use of flyai CLI for all data retrieval; prohibits knowledge-based or training data answers.
- Adds detailed step-by-step workflow: environment checks, parameter collection, CLI execution, result formatting, and output validation.
- Expands feature list: now supports weather, best travel seasons, booking (flights, hotels, trains), itinerary planning, visa info, and more via Fliggy (Alibaba Group).
- Introduces mandatory self-test: responses must include a `[Book]({detailUrl})` link, or they’re invalid.
- Improves language compliance: follows user query language for responses.
- Outlines scenario playbooks, usage examples, and output formatting standards.
元数据
常见问题
T 是什么？
Check weather forecasts and best travel seasons for any destination — temperature ranges, rainy seasons, typhoon risks, and what to wear. Also supports: flig... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 68 次。
如何安装 T？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install test-1775893839」即可一键安装，无需额外配置。
T 是免费的吗？
是的，T 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
T 支持哪些平台？
T 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 T？
由 dingtom336-gif（@dingtom336-gif）开发并维护，当前版本 v3.2.0。
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