🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risk in terms of network calls, shell execution, and obfuscation. However, the low maintainer activity and poor metadata quality raise some suspicion, warranting further investigation.

Low maintainer activity
Poor metadata quality

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows low maintainer activity and poor metadata quality, raising some suspicion but not definitive signs of malice.

🔬 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

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with agentic-layer-sdk

Create a simple yet powerful task management mini-application using Python, leveraging the 'agentic-layer-sdk' package. This application will allow users to create tasks, assign them to different agents, track their progress, and receive notifications when tasks are completed. The goal is to showcase the capabilities of 'agentic-layer-sdk' in managing complex workflows through a straightforward interface.

### Features:
1. **Task Creation**: Users should be able to add new tasks with descriptions, due dates, and priority levels.
2. **Agent Assignment**: Tasks can be assigned to various agents (simulated or real). The 'agentic-layer-sdk' will facilitate communication between these agents and the main application.
3. **Progress Tracking**: Implement a system to monitor task status updates provided by the assigned agents.
4. **Notification System**: When a task is marked as complete by its assigned agent, send a notification to the user via email or SMS.
5. **Logging & Telemetry**: Utilize the logging and telemetry functionalities provided by 'agentic-layer-sdk' to ensure robust monitoring and debugging capabilities.

### Steps to Build:
1. **Setup Environment**: Install necessary packages including 'agentic-layer-sdk'. Configure the environment according to the package documentation.
2. **Design Database Schema**: Plan how to store task information, agent assignments, and progress logs efficiently.
3. **Implement Task Management Logic**: Write functions to handle task creation, assignment, and tracking using 'agentic-layer-sdk' for agent communication.
4. **Integrate Notification Service**: Set up an email/SMS service to notify users about task completion.
5. **Enable Logging & Telemetry**: Use 'agentic-layer-sdk' to set up logging and OpenTelemetry for monitoring application performance and agent interactions.
6. **Testing & Deployment**: Thoroughly test the application under various scenarios and deploy it to a server or cloud platform.

By following these steps and utilizing the features of 'agentic-layer-sdk', you'll develop a comprehensive task management tool that demonstrates the package's utility in building scalable and efficient applications.