approvaltests-minimal

v18.0.5 safe
4.0
Medium Risk

Assertion/verification library to aid testing with the minimal required dependencies + the ability to opt in for the others

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across most categories with only minor concerns regarding network calls and metadata quality. There is no clear evidence of malicious intent.

  • network call to GitHub
  • single package from author
  • non-HTTPS links used
Per-check LLM notes
  • Network: The package makes an external network call to GitHub, which could be for legitimate purposes like fetching configuration or updates, but requires further investigation into its necessity and destination.
  • Shell: No shell execution patterns were detected, indicating low risk for direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author has only one package and uses non-HTTPS links, but no other suspicious activities are observed.

📦 Package Quality Overall: Low (4.6/10)

○ 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 (13171 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

  • 190 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 100 commits in approvals/ApprovalTests.Python
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • False response = requests.get( f"https://raw.githubusercontent.com/approva
✓ 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 score 4.0

Found 2 suspicious link(s) on the package page

  • Non-HTTPS external link: http://approvaltests.com/
  • Non-HTTPS external link: http://www.approvaltests.com
✓ Git Repository History

Repository approvals/ApprovalTests.Python appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "ApprovalTests Contributors" 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 approvaltests-minimal 
Develop a simple file comparison tool using Python that leverages the 'approvaltests-minimal' package for verification purposes. This tool will help users compare two files and determine if they are identical based on their content. The application should be designed to handle both text and binary files, providing detailed feedback about differences when they exist.

### Steps to Create the Application:
1. **Setup**: Install the necessary Python packages including 'approvaltests-minimal'.
2. **File Input**: Implement functionality to accept two files as input either through command line arguments or a graphical user interface.
3. **Comparison Logic**: Use 'approvaltests-minimal' to verify the contents of the files. For text files, perform a line-by-line comparison highlighting any discrepancies. For binary files, ensure the byte-level comparison is accurate.
4. **Output Feedback**: Provide clear output indicating whether the files match exactly or highlight specific differences.
5. **Testing**: Write tests using 'approvaltests-minimal' to ensure the comparison logic works correctly under various conditions (e.g., different file types, sizes).
6. **Enhancements**: Consider adding features like ignoring whitespace for text files or handling large files efficiently.

### Utilizing 'approvaltests-minimal':
- Use 'approvaltests-minimal' to assert that the output of your comparison matches expected results.
- Leverage its verification capabilities to check if the files are indeed different by comparing their contents against known good examples.
- Optionally, integrate additional 'approvaltests-minimal' features such as diffing tools for more detailed discrepancy analysis.

This project aims to demonstrate the practical use of 'approvaltests-minimal' in real-world scenarios, focusing on file comparison which is a common task in software development and data management.