aialgos

v0.1.0 suspicious
4.0
Medium Risk

Beginner-friendly AI search algorithms: BFS, DFS, A*, Minimax, CSP, ANN and more

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low technical risks but raises concerns due to the metadata indicating new and potentially suspicious maintainer activity.

  • Low risk in network, shell, obfuscation, and credential handling.
  • Metadata risk flagged due to new repository and maintainer history.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting secure handling of sensitive information.
  • Metadata: The repository and maintainer history show signs of being newly created and potentially suspicious activity.

📦 Package Quality Overall: Low (2.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (3503 chars)
○ 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 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 1 commits in mQasim04/aialgos
  • Single author with few commits — possibly a personal or throwaway project

🔬 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: email.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 10.0

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
  • Repository appears empty (size = 0)
  • Very few commits: 1 total
  • Single contributor with only 1 commit(s) — possibly throwaway account
⚠ Maintainer History score 6.0

3 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)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aialgos 
Create a game-solving mini-app using the 'aialgos' package that can solve various puzzles and games like mazes, Sudoku, and simple board games. The app should allow users to input the initial state of the game or puzzle and then select which algorithm they want to use to solve it. Here’s a detailed breakdown of what your app should include:

1. **User Interface**: Develop a user-friendly interface where users can enter the initial state of their puzzle/game. This could be a graphical interface or a simple text-based one depending on your preference.
2. **Algorithm Selection**: Provide options for users to choose from different algorithms available in the 'aialgos' package such as BFS, DFS, A*, Minimax, CSP, etc.
3. **Solving Process Visualization**: Implement a feature that visualizes each step of the solving process chosen by the user. For instance, if the user chooses BFS to solve a maze, show how the algorithm explores the maze level by level until it finds the solution.
4. **Solution Presentation**: Once the algorithm finds a solution, present it clearly to the user, showing the final state of the puzzle/game and the path taken to reach the solution.
5. **Performance Metrics**: Include metrics that measure the performance of the chosen algorithm, such as time taken to find a solution and number of steps explored.
6. **Comparison Tool**: Add functionality to compare the performance of different algorithms on the same problem to help users understand the strengths and weaknesses of each algorithm.

Use the 'aialgos' package to implement the core functionalities related to the algorithms. Ensure that your app is well-documented and includes comments explaining how each part of the code works, especially where you integrate the 'aialgos' functions.