🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators such as no network calls, shell executions, or obfuscation techniques. However, the incomplete author information and single-package maintainer slightly increase the metadata risk.

No network calls
Incomplete author information

Per-check LLM notes

Network: No network calls suggest the package does not engage in external communications which is typical for many utility packages.
Shell: No shell execution suggests the package does not execute system commands, reducing the risk of potential exploitation.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The author information is incomplete and the maintainer has a single package, suggesting potential unreliability.

📦 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 7.0

Some documentation present

Documentation URL: "Documentation" -> https://github.com/owner-spec/aigp-protocol/tree/main/spec
Detailed PyPI description (4413 chars)

○ Low Contributing Guide 4.0

No contributing guide or governance files found

Development Status classifier >= Beta

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

◈ Medium Multiple Contributors 5.0

Limited contributor diversity

1 unique contributor(s) across 59 commits in owner-spec/aigp-protocol
Single author but highly active (59 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

Email domain looks legitimate: erwee.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository owner-spec/aigp-protocol 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 aigp-client

Create a mini-application named 'ConsentManager' using Python that leverages the 'aigp-client' package to manage user consent for AI applications. This application will serve as a bridge between users and AI services, ensuring that all interactions are governed by the principles of consent-based AI usage. The goal is to demonstrate how 'aigp-client' can be integrated into real-world applications to enhance transparency and user control over their data and interactions with AI systems.

Step 1: Setup the Project Environment
- Initialize a new Python project and install the 'aigp-client' package.
- Configure the project to use virtual environments for dependency management.

Step 2: Design the User Interface
- Develop a simple command-line interface (CLI) that allows users to interact with the application.
- Implement options for users to view, grant, revoke, and modify consents related to their AI interactions.

Step 3: Implement Consent Management Functions
- Use the 'aigp-client' package to create functions that allow users to:
  - View current consents for various AI services.
  - Grant new consents for specific AI functionalities.
  - Revoke existing consents.
  - Modify existing consents (e.g., change the scope of consent).
- Ensure that each action is logged and stored securely within the application.

Step 4: Integrate Real-World Scenarios
- Demonstrate the application's functionality through mock scenarios involving common AI services such as facial recognition, data analysis, and chatbots.
- Show how different levels of consent (e.g., limited access vs. full access) affect the interaction with these services.

Step 5: Security and Privacy Considerations
- Implement measures to protect user data and ensure that all consents are handled securely.
- Include documentation on best practices for integrating 'aigp-client' into applications focused on privacy and security.

Suggested Features:
- Detailed logging of consent actions.
- Integration with popular AI service APIs to simulate real-world use cases.
- Support for multiple user profiles to manage consents across different accounts.
- Notification system for changes in consent status.
- Export/import functionality for consent records.