🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks in terms of network, shell execution, obfuscation, and credential harvesting. However, the metadata quality and maintenance level are low, which may pose some uncertainty.

Low risk in network, shell execution, obfuscation, and credential harvesting.
Metadata and maintenance quality are low, raising some concern.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires network interactions for its functionality.
Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows low maintenance and metadata quality, which could indicate potential risks but does not conclusively suggest malicious intent.

📦 Package Quality Overall: Low (1.2/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

○ Low Documentation 1.0

No documentation detected

No documentation URL, doc files, or meaningful description found

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aidev-ai-blueking

Your task is to develop a fully-functional mini-app that leverages the 'aidev-ai-blueking' Python package to create a dynamic web gallery showcasing static resources like images, videos, and documents. This app will serve as a personal or business portfolio, allowing users to upload their own media files and share them with others through customizable galleries. Here’s a detailed guide on how to proceed:

1. **Setup**: Begin by installing the 'aidev-ai-blueking' package and setting up a basic Flask web application. Ensure your development environment is ready for handling file uploads and serving static content.

2. **User Authentication**: Implement a simple user authentication system where users can register, log in, and log out. This ensures that only authorized users can upload and manage their media files.

3. **Media Uploads**: Utilize the 'aidev-ai-blueking' package to handle the uploading of various media types (images, videos, documents). The package should streamline the process, ensuring efficient storage and retrieval of these files.

4. **Gallery Creation**: Allow users to create multiple galleries within their accounts. Each gallery can contain a mix of different media types, and users should have the ability to name and describe each gallery.

5. **Customization Options**: Provide customization options such as background colors, themes, and layout choices for each gallery. Users should be able to preview changes before finalizing their gallery settings.

6. **Sharing Features**: Enable users to share their galleries via unique URLs or embed codes. Implement privacy controls so users can choose who can view their galleries (publicly or privately).

7. **Search & Filter**: Integrate a search function that allows users to find specific media items across all their galleries. Additionally, provide filtering options based on media type, date uploaded, and other relevant criteria.

8. **Responsive Design**: Ensure the web app is responsive and works well on both desktop and mobile devices. Test it thoroughly across different browsers and screen sizes.

9. **Testing & Deployment**: Thoroughly test the app for functionality, security, and performance. Once satisfied, deploy it using a cloud service provider like AWS, Google Cloud, or Alibaba Cloud.

By following these steps, you'll create a versatile and engaging mini-app that not only showcases the power of the 'aidev-ai-blueking' package but also provides a valuable tool for managing and sharing media content.