aip-agents

v0.2.2 suspicious
4.0
Medium Risk

AIP identity and delegation for AI agent frameworks

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks across most categories but raises a flag due to incomplete maintainer metadata, suggesting potential newness or inactivity, which could indicate a supply-chain attack risk.

  • Incomplete maintainer profile
  • Potential new or inactive maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell executions detected, indicating the package does not perform system-level commands without user interaction.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has an incomplete profile and seems to be new or inactive, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (4.0/10)

○ 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/sunilp/aip#aip-agents
  • Detailed PyPI description (3693 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

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

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in sunilp/aip
  • 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

Email domain looks legitimate: sunilprakash.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository sunilp/aip 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 aip-agents 
Create a mini-application named 'AI-Agent-Manager' that leverages the 'aip-agents' Python package to manage and delegate tasks among multiple AI agents within a simulated office environment. This application will allow users to create, configure, and manage AI agents for various roles such as customer service, document processing, and scheduling. Each AI agent will have its own identity and capabilities defined using the 'aip-agents' package, ensuring secure and efficient task delegation.

### Features:
1. **Agent Creation**: Users can create new AI agents with specific roles and permissions.
2. **Configuration Management**: Edit the configuration of existing agents, including their roles and assigned tasks.
3. **Task Delegation**: Assign tasks to appropriate agents based on their roles and capabilities.
4. **Status Monitoring**: Monitor the status and performance of each agent.
5. **Security Management**: Ensure secure communication and data handling between agents using the identity and delegation features provided by 'aip-agents'.
6. **User Interface**: Develop a simple and intuitive graphical user interface (GUI) to interact with the system.

### Utilization of 'aip-agents':
- Use the package to define unique identities for each AI agent.
- Implement role-based access control using 'aip-agents' features.
- Delegate tasks securely among agents based on their roles and identities.
- Manage and authenticate interactions between different agents to ensure secure operations.

### Steps to Build the Application:
1. Install necessary packages including 'aip-agents', along with any dependencies.
2. Design the database schema to store information about agents, tasks, and configurations.
3. Implement backend logic to handle agent creation, configuration management, and task delegation.
4. Develop a frontend GUI for easy interaction with the system.
5. Test the application thoroughly to ensure all functionalities work as expected and securely.
6. Document the code and provide instructions for setting up and running the application.

💬 Discussion Feed

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