🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal direct risks such as network calls, shell executions, and obfuscations. However, the metadata risk score of 5 out of 10 suggests potential issues with transparency and effort put into the package.

Metadata risk due to low effort and potential lack of transparency
No direct evidence of malicious activity

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 direct system command execution from the package.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of secret or credential theft.
Metadata: The package shows signs of low effort and potential lack of transparency, which could indicate risk.

🔬 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 8.0

4 maintainer concern(s) found

Only one version has ever been released — brand new package
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 Ale-Magar-Ridam

Imagine you're tasked with building a small, engaging application called 'Mystery Solver' using the Python package 'Ale-Magar-Ridam'. Although there's no official description provided for 'Ale-Magar-Ridam', let's assume it's a powerful tool designed for generating and solving complex puzzles and riddles. Your goal is to create a user-friendly interface where users can input clues or puzzles, and the application will use 'Ale-Magar-Ridam' to solve them or generate new ones based on given parameters.

The Mystery Solver app should have the following core functionalities:
1. **User Input**: Allow users to input clues or puzzles through a simple text interface.
2. **Puzzle Solving**: Use 'Ale-Magar-Ridam' to analyze the inputted puzzle and attempt to solve it. If the puzzle is too complex or ambiguous, provide feedback suggesting additional clues.
3. **Puzzle Generation**: Based on user preferences (such as theme, difficulty level), use 'Ale-Magar-Ridam' to generate new puzzles for entertainment or educational purposes.
4. **Interactive Feedback**: Provide interactive feedback to users, guiding them through the process of solving or creating puzzles, and offering hints if they get stuck.
5. **History Tracking**: Keep a history of puzzles solved and created by each user, allowing them to revisit past challenges.

To achieve these functionalities, follow these steps:
1. **Setup Environment**: Install Python and necessary libraries including 'Ale-Magar-Ridam'. Since the package lacks documentation, explore its source code and test functions to understand its capabilities.
2. **Design User Interface**: Create a clean, intuitive interface using a framework like Flask or Django for web-based applications, or Tkinter for desktop applications.
3. **Implement Core Features**: Integrate 'Ale-Magar-Ridam' into your application to handle puzzle-solving and generation tasks. Ensure error handling is in place for unexpected inputs.
4. **Enhance User Experience**: Add features like saving and loading sessions, sharing puzzles via social media, and integrating a leaderboard for competitive play.
5. **Testing and Deployment**: Thoroughly test the application to ensure all features work as expected. Deploy the app on a platform like Heroku for easy access by users.

This project not only leverages the unique capabilities of 'Ale-Magar-Ridam' but also provides an engaging way for users to enjoy and learn from puzzles and riddles.