🤖 AI Analysis

Final verdict: SAFE

The package appears to serve its intended purpose without any detected malicious activities. However, concerns arise from incomplete author information and potential inactivity of the maintainer.

Low risk in network, shell execution, obfuscation, and credential handling.
Incomplete metadata and potentially inactive maintainer.

Per-check LLM notes

Network: The observed network calls seem to be related to fetching weather forecast and location data, which aligns with the package's presumed functionality.
Shell: No shell execution patterns were detected.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, indicating safe handling of secrets.
Metadata: The author's information is incomplete and the maintainer seems new or inactive, raising some concerns.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

/profile/" session = requests.Session() resp = session.get(login_url) soup = Bea
response_bytes = requests.get(forecast_daily_url) json_str = response_byt
" coords_info_data = requests.get(coords_info_url).json() print(coords_info_data['des
y}" response_bytes = requests.get(forecast_daily_url) json_str = response_bytes.conte
y}" response_bytes = requests.get(forecast_coords_url) json_str = response_bytes.cont
y}" response_bytes = requests.get(history_daily_url) json_str = response_bytes.conten

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: outlook.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with HtMeteo

构建一个名为“ChinaWeatherForecast”的小型应用程序，该应用利用HtMeteo Python包提供的功能来获取并展示中国各地的天气信息。此应用应包括以下功能：

1. 用户界面：设计一个简单的图形用户界面（GUI），允许用户输入他们感兴趣的中国城市名称。
2. 天气数据获取：使用HtMeteo包从中国海天气象官方网站获取选定城市的实时天气状况、未来几天的天气预报以及历史天气数据。
3. 数据展示：在GUI中显示获取到的天气数据，包括温度、湿度、风速、天气类型等基本信息，并且能够以图表形式展示历史天气变化趋势。
4. 地图集成：整合地图服务（如Baidu Maps API或高德地图API），在地图上标记出用户选择的城市位置，并在鼠标悬停时显示该城市的当前天气状况。
5. 报警功能：根据用户的偏好设置（例如高温、低温、暴雨等条件），当满足报警条件时，应用程序发出声音警告或通过电子邮件发送通知。
6. 数据导出：提供将天气数据导出为CSV文件的功能，方便用户保存和进一步分析。
7. 个性化设置：允许用户自定义界面主题颜色、字体大小等，提升用户体验。

请详细说明每个步骤的具体实现方法，包括如何安装和配置HtMeteo库，如何处理API响应数据，以及如何设计和实现上述功能。