arpit-binarysearch

v0.1.0 suspicious
4.0
Medium Risk

Binary Search Utilitites

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits no direct signs of malicious intent such as network calls or shell executions. However, the metadata suggests low effort and lack of transparency, which raises concerns about its origin and purpose.

  • Low metadata quality
  • Lack of package description
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution detected, which is expected unless the package requires system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
  • Metadata: The package shows signs of low effort and potential lack of transparency, raising some suspicion but not conclusive evidence of malice.

📦 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 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 arpit-binarysearch
Your task is to create a command-line utility named 'BinarySearchTool' using Python, which leverages the 'arpit-binarysearch' package to perform binary search operations on sorted lists of integers. This tool will provide users with an interactive experience to input their own data and query specific elements efficiently.

Step-by-Step Instructions:
1. Begin by installing the 'arpit-binarysearch' package if it isn't already installed. You can install it via pip: `pip install arpit-binarysearch`
2. Design a function that allows users to input a sorted list of integers through the command line interface.
3. Implement another function that takes user queries for specific integer values within this list. Use the 'arpit-binarysearch' package to execute a binary search on the provided list to find the queried value.
4. Ensure your application outputs whether the queried value exists in the list and, if so, its index position.
5. Add functionality to allow users to exit the program gracefully when they're done.
6. Enhance the usability of your application by adding error handling for scenarios such as non-integer inputs or unsorted lists.
7. Finally, write a simple README.md file explaining how to run the application and any necessary setup instructions.

Suggested Features:
- Interactive mode allowing continuous querying until the user decides to exit.
- Support for both ascending and descending order sorted lists.
- Error messages for invalid inputs or non-existent values.
- An option to load predefined datasets for testing purposes.

💬 Discussion Feed

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