AI Analysis
Final verdict: SUSPICIOUS
The package shows low individual risks but raises suspicion due to its metadata, including lack of detailed author information. This could indicate potential supply-chain concerns.
- Metadata risk score of 5 out of 10
- Lack of detailed author information
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external communications.
- Shell: No shell execution detected, indicating no immediate risk of command injection or system compromise.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.
- Metadata: The package is new and lacks detailed author information, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (3.4/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
7.0
Some documentation present
Documentation URL: "Documentation" -> https://AstrocyteAI.github.io/astrocyte/Detailed PyPI description (1636 chars)
○ 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
◈ Medium
Multiple Contributors
6.0
Limited contributor diversity
2 unique contributor(s) across 100 commits in AstrocyteAI/astrocyteTwo distinct contributors found
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
Repository AstrocyteAI/astrocyte appears legitimate
Maintainer History
score 6.0
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" 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 astrocyte-stack
Create a simple task management web application using the 'astrocyte-stack' package. This application will allow users to create accounts, log in, and manage their tasks. Users should be able to add tasks, mark them as completed, and delete them. Additionally, the app should support user authentication and authorization to ensure that only the owner of a task can modify it. Here are the steps to follow: 1. Set up your development environment with Python and install the 'astrocyte-stack' package. 2. Design the database schema to store user information and tasks. 3. Implement user registration and login functionalities using Astrocyte's components. 4. Create endpoints to handle CRUD operations for tasks. 5. Ensure that each user can only modify their own tasks. 6. Add basic HTML/CSS/JavaScript front-end to make the application user-friendly. 7. Test all functionalities thoroughly to ensure everything works as expected. Suggested Features: - User registration and login - Ability to add new tasks - Mark tasks as completed - Delete tasks - Display a list of all tasks - Separate lists for pending and completed tasks - User-specific task management How 'astrocyte-stack' is utilized: - The 'astrocyte-stack' package simplifies setting up the backend infrastructure, including the web server and database connection. It ensures that you have Astrocyte and PostgreSQL configured correctly out-of-the-box, allowing you to focus on building the application logic.
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