auld-well-known

v1 suspicious
4.0
Medium Risk

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🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no direct malicious activities such as network calls or shell executions, but its metadata suggests it might be from a newly created account with low activity, raising concerns about its legitimacy.

  • Low activity and potential new account usage
  • No provided 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 patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of low activity and potential new account usage, raising suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (1.4/10)

○ 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 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 2 commits in AlexLemna/WELL_KNOWN_AULD
  • 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 score 3.0

Suspicious email domain flags: Very short email domain: e.mail>

  • Very short email domain: e.mail>
✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 7.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
  • Very few commits: 2 total
  • Single contributor with only 2 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 "Alexander Lloyd Lemna" 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 auld-well-known 
Your task is to develop a nostalgic weather forecast app using the Python package 'auld-well-known'. This package allows you to interact with various well-known APIs in a retro-themed manner, providing a unique twist on modern functionality. Your app will fetch weather data from an API and present it in a charming, old-school style reminiscent of early computer interfaces. Here’s a step-by-step guide to building this app:

1. **Set Up Your Development Environment**: Ensure you have Python installed along with the 'auld-well-known' package. You may need to install additional dependencies like requests for making HTTP requests.
2. **Design the User Interface**: Since we're aiming for a retro aesthetic, consider using simple text-based outputs or even ASCII art to represent different weather conditions. Think about how you can make the interface feel like it's from the early days of computing.
3. **Fetch Weather Data**: Use the 'auld-well-known' package to connect to a weather API (such as OpenWeatherMap). Explore its methods and functionalities to understand how you can retrieve current weather data for a given location.
4. **Process and Display Data**: Once you have the weather data, parse it to extract relevant information such as temperature, humidity, wind speed, etc. Then, display this information in a format that fits the retro theme of your app. For example, instead of showing 'Temperature: 20°C', you could show 'Degrees Centigrade: 20' with a vintage font.
5. **Enhance Functionality**: Consider adding features like historical weather data, a forecast for the next few days, or even a feature that suggests appropriate attire based on the weather conditions.
6. **Test Your Application**: Make sure to test your app thoroughly, ensuring that all functionalities work as expected and that the retro theme is consistent throughout.
7. **Document Your Work**: Write documentation that explains how to use your app, including any setup instructions and usage examples. Additionally, document the process you followed to integrate 'auld-well-known' into your project.

This project not only helps you practice working with APIs but also allows you to explore creative ways to enhance user experience through thematic design. Enjoy coding!

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