🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal risks in terms of network calls, shell execution, and obfuscation. However, the metadata risk score suggests potential issues with maintenance and legitimacy.

Low metadata activity and effort
No description provided

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet connectivity.
Shell: No shell execution patterns detected, indicating the package does not execute system commands that could pose a risk.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows signs of low activity and effort, which may indicate it's not well maintained or could be suspicious.

🔬 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

Email domain looks legitimate: kunluntech.com.cn>

✓ 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

Only one version has ever been released — brand new package
Author "rj" 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 00-renjing-mcp-server-pypi

Create a simple yet powerful task management system using the Python package '00-renjing-mcp-server-pypi'. This system will allow users to manage their daily tasks efficiently, including adding new tasks, marking tasks as completed, and deleting tasks. Additionally, the system should support user authentication to ensure data privacy and security.

Step 1: Setup the Environment
- Install Python and set up a virtual environment.
- Install the '00-renjing-mcp-server-pypi' package along with other necessary packages like Flask for web development.

Step 2: Design the Database
- Use SQLAlchemy (a database toolkit included in '00-renjing-mcp-server-pypi') to design a relational database schema for storing user information and tasks.
- Ensure the database supports multiple users and each user has their own set of tasks.

Step 3: Implement User Authentication
- Utilize the security features provided by '00-renjing-mcp-server-pypi' to implement user registration and login functionalities.
- Securely store passwords using hashing techniques.

Step 4: Develop Task Management Features
- Allow authenticated users to add new tasks with descriptions and due dates.
- Enable users to mark tasks as completed and delete them.
- Provide a feature to view all tasks sorted by completion status and due date.

Step 5: Enhance User Experience
- Implement a clean and intuitive user interface using HTML/CSS/JavaScript.
- Add functionality for setting reminders via email for upcoming tasks.

The '00-renjing-mcp-server-pypi' package will primarily be used for backend operations such as database management and security. It provides robust tools for handling data securely and efficiently, which are essential for building a reliable task management system.