aweshelf

v0.1.6 safe
3.0
Low Risk

Bookmark, categorize, and restore AI coding sessions with aweswitch profiles.

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across all evaluated categories and does not exhibit any suspicious behavior indicative of a supply-chain attack.

  • No network calls or shell executions detected.
  • Maintainer has only one package, suggesting a new or less active account.
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 detected, reducing the risk of potential command injection or system exploitation.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package, which may indicate a new or less active account, but there are no other red flags.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 7 test file(s) found

  • Test runner config found: pyproject.toml
  • 7 test file(s) detected (e.g. test_aweswitch.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (9202 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 73 type-annotated function signatures detected in source
○ 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 2.0

1 maintainer concern(s) found

  • Author "Peng" 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 aweshelf 
Your task is to develop a mini-application named 'AI Coding Hub' using the Python package 'aweshelf'. This application will serve as a personalized bookmarking system for developers, allowing them to save, categorize, and restore their AI coding sessions. Here’s a detailed breakdown of what your application should achieve:

1. **User Registration & Login**: Users should be able to register and log in to their accounts. This ensures that each user has a personal space where they can save and access their coding sessions.
2. **Session Creation**: Upon logging in, users can create new coding sessions. Each session can be associated with one or more tags for easy categorization.
3. **Session Management**: Users must be able to view, edit, delete, and restore their saved sessions. Sessions should also have timestamps indicating when they were created or last edited.
4. **Tagging System**: Implement a tagging system that allows users to categorize their sessions based on the type of AI work (e.g., machine learning, deep learning, natural language processing).
5. **Search Functionality**: Provide a search bar where users can find sessions based on keywords, tags, or session names.
6. **Integration with 'aweshelf'**: Utilize the 'aweshelf' package to manage the creation, storage, and retrieval of these sessions. 'aweshelf' provides functionalities to bookmark and restore AI coding sessions through its profiles, which you can leverage to store session data efficiently.
7. **UI/UX Design**: While the primary focus is on functionality, consider designing a simple yet intuitive user interface for better usability.
8. **Documentation**: Write comprehensive documentation explaining how to install and use 'AI Coding Hub', including setup instructions and examples of how to interact with the 'aweshelf' package.

By completing this project, you'll not only enhance your skills in developing applications that integrate third-party packages but also contribute to making AI development more accessible and organized.

💬 Discussion Feed

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