alpha-avatar-plugins-memory

v0.6.0 suspicious
4.0
Medium Risk

AlphaAvatar Framework plugin for memory service

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risks in terms of network usage, shell execution, and code obfuscation. However, the incomplete author information and the potential inactivity of the maintainer raise concerns about its provenance and ongoing support.

  • Incomplete author information
  • Potential inactivity of the maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access to function properly.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
  • Metadata: The author's information is incomplete and the maintainer seems new or inactive, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (3.6/10)

○ 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 (1542 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

  • 40 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in AlphaAvatar/AlphaAvatar
  • Single author but highly active (100 commits)

🔬 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

Repository AlphaAvatar/AlphaAvatar appears legitimate

⚠ 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 alpha-avatar-plugins-memory 
Create a conversational AI assistant named 'MemoryMentor' using Python and the 'alpha-avatar-plugins-memory' package. This application will serve as a personal memory aid, allowing users to save, retrieve, and manage their memories in a structured and organized way. The application will feature a user-friendly CLI interface for interaction. Here are the steps and features to implement:

1. **Setup Project Environment**: Begin by setting up your Python environment and installing the necessary packages, including 'alpha-avatar-plugins-memory'.
2. **User Authentication**: Implement a simple authentication system where users can sign up and log in to access their personalized memory storage.
3. **Memory Management**: Utilize the 'alpha-avatar-plugins-memory' package to create functionalities for adding new memories, tagging them with relevant keywords, and categorizing them into different types (e.g., work-related, personal events).
4. **Search and Retrieve**: Develop a search function that allows users to find specific memories based on tags, categories, or even through natural language queries.
5. **AI-Driven Insights**: Integrate AI capabilities from 'alpha-avatar-plugins-memory' to provide users with insights about their memories, such as patterns, trends, and recommendations for better memory management.
6. **CLI Interface**: Design a command-line interface (CLI) for interacting with the MemoryMentor application, ensuring it is intuitive and easy to use.
7. **Security Measures**: Ensure all user data is securely stored and encrypted, especially considering the sensitive nature of personal memories.
8. **Testing and Validation**: Conduct thorough testing to ensure all features work as expected and that the application is robust and secure.

This project aims to demonstrate the practical application of advanced memory management techniques through a user-centric approach, leveraging the capabilities of 'alpha-avatar-plugins-memory' to enhance user experience and interaction.

💬 Discussion Feed

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