🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risk in terms of network, shell, obfuscation, and credential handling but has poor metadata management and no maintainer history, raising concerns about its origin and intentions.

Metadata risk due to lack of maintainer history
Low effort in metadata management

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires them for functionality.
Shell: No shell execution detected, indicating no immediate risk of unauthorized command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows low effort in metadata management and lacks a maintainer history, which raises some suspicion.

🔬 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 agent-relay-sdk

Develop a Python-based mini-app that leverages the 'agent-relay-sdk' package to create an automated workflow management system. This system will allow users to define, manage, and execute workflows using Agent Relay's capabilities. The app should include the following core functionalities:

1. **Workflow Definition**: Users should be able to define workflows through a simple interface or configuration file. Each workflow consists of steps that can include actions like sending emails, triggering API calls, or running scripts.
2. **Execution Management**: Implement a feature where workflows can be triggered manually via the app's UI or automatically based on predefined schedules. Monitor the status of each workflow execution and provide logs and notifications.
3. **Custom Actions**: Allow users to extend the functionality of the app by adding custom actions that can be invoked within workflows. These actions could interact with external systems or perform specific tasks.
4. **Integration with Agent Relay**: Utilize the 'agent-relay-sdk' to handle the communication between your app and the Agent Relay service. Ensure that workflows defined in your app are properly translated into Agent Relay's format and executed seamlessly.
5. **User Interface**: Develop a basic web interface using Flask or Django that allows users to interact with the workflow management system. This includes viewing workflow definitions, starting executions, and monitoring progress.

To get started, first set up your development environment with Python and install the 'agent-relay-sdk'. Then, design the structure of your app focusing on how you will integrate the SDK to facilitate the creation and execution of workflows. Consider how you will handle authentication and authorization when interfacing with the Agent Relay service.