antistar

v1.1.4 suspicious
5.0
Medium Risk

This project provides a function that returns its positional arguments as a tuple.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits minimal risks in terms of network, shell execution, and obfuscation activities, but concerns arise from metadata indicating low activity and a lack of clear maintainer information.

  • metadata risk due to low activity and unclear maintainer information
  • potential lack of community or user feedback
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
  • Shell: No shell execution patterns detected, indicating the package does not attempt to execute 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 potential low activity and lack of maintainer information, raising concerns about its legitimacy.

📦 Package Quality Overall: Medium (5.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 2 test file(s) detected (e.g. __init__.py)
◈ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (291 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 10 commits in johannes-programming/antistar
  • Small but multi-author team (3–4 contributors)

🔬 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • 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 antistar 
Create a command-line utility called 'ArgumentTamer' that simplifies the process of handling and managing command-line arguments in Python scripts. This utility will leverage the 'antistar' package to streamline argument passing and make it easier for users to develop Python applications that accept complex command-line inputs.

Step 1: Define the core functionality of ArgumentTamer. It should accept any number of command-line arguments and use the 'antistar' package to return these arguments as a tuple. This tuple will then be processed further based on user-defined rules or actions.

Step 2: Implement a feature where users can specify certain command-line arguments as required or optional. Required arguments must be present for the script to run successfully, while optional ones can have default values if not provided.

Step 3: Add support for argument grouping. Users should be able to group related arguments together and pass them as a single entity, which will be unpacked internally using the 'antistar' package.

Step 4: Include a help system that displays all available options and their descriptions when the '-h' or '--help' flag is passed. This help system should also provide examples of how to use grouped arguments.

Step 5: Develop a logging mechanism that records every argument passed to the utility along with the timestamp and a brief description of the action taken based on those arguments.

How 'antistar' is Utilized: The 'antistar' package's primary function, which converts positional arguments into a tuple, will be at the heart of ArgumentTamer's ability to handle and process command-line inputs efficiently. By leveraging this functionality, the utility can easily manage and manipulate the arguments passed by users, making it a powerful tool for developers working with Python scripts.

💬 Discussion Feed

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