AI Analysis
The package has minimal direct risks due to lack of network calls, shell execution, obfuscation, and credential harvesting. However, its metadata suggests it may be a low-effort or low-maintenance project, raising concerns about its legitimacy and potential for supply-chain attacks.
- Low metadata maintenance
- Potential low-effort project
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution detected, indicating no immediate risk of command injection or similar attacks.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of low maintenance and could be a low-effort project, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (1.2/10)
No test suite detected
No test files or test-runner configuration detected
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "AIVIL" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a mini-application called 'AI Citizen Registry' that leverages the 'aivil-python' package to manage and verify identities of AI agents within a simulated city environment. This application will serve as a foundational tool for developers and researchers interested in exploring the governance and management of AI entities in digital spaces. Here’s a detailed outline of the project steps and features: 1. **Setup**: Install the 'aivil-python' package and set up a basic Flask or Django web framework to host the application. 2. **User Interface**: Design a simple but intuitive UI where users can register new AI agents, view existing ones, and search through the registry. 3. **Identity Management**: Implement functionality to create, update, and delete AI agent identities using the 'aivil-python' package. Ensure that each identity includes essential information such as name, purpose, owner, and contact details. 4. **Verification System**: Develop a system to verify the authenticity of AI identities within the registry. Utilize the verification capabilities provided by the 'aivil-python' package to ensure data integrity and prevent fraudulent entries. 5. **Search and Filter**: Allow users to search for AI identities based on various criteria like name, owner, or purpose. Implement filters to refine search results. 6. **Audit Trail**: Integrate logging to track changes made to AI identities within the registry. Use this feature to maintain a transparent history of all modifications. 7. **Security Measures**: Implement basic security measures such as user authentication and authorization to protect sensitive information about AI identities. 8. **Documentation**: Write comprehensive documentation explaining how to use the 'AI Citizen Registry' app, including setup instructions and API usage examples. This project not only showcases the capabilities of the 'aivil-python' package but also provides a practical solution for managing AI identities in a structured manner.
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