🤖 AI Analysis

Final verdict: SAFE

The package exhibits no direct signs of malicious activity, with low risks across all primary categories. However, the metadata quality and maintainer engagement levels raise some concerns.

Low risk scores in network, shell, obfuscation, and credential areas.
Metadata quality and maintainer engagement suggest potential issues.

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communication.
Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting secure handling of sensitive information.
Metadata: The package shows signs of low maintainer engagement and poor metadata quality, but lacks clear indicators of malicious intent.

🔬 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 NeuroSolidTG

Your task is to develop a mini-application that integrates the 'NeuroSolidTG' package to create a novel, secure, and intelligent smart contract management system. This application will leverage the neurosymbolic capabilities of NeuroSolidTG to enhance the creation, deployment, and management of Ethereum-based smart contracts. Here's a detailed breakdown of what your application should achieve:

1. **Smart Contract Creation**: Implement a feature where users can input basic details about their smart contract needs (e.g., type of contract, functionality, security requirements). Your application should use NeuroSolidTG to generate the initial draft of the smart contract code based on these inputs.

2. **Code Optimization and Security Checks**: After the initial draft is generated, your application should utilize NeuroSolidTG's neurosymbolic execution capabilities to optimize the smart contract code. It should also perform preliminary security checks, suggesting improvements and highlighting potential vulnerabilities.

3. **Interactive Testing Environment**: Provide an interactive environment within the application where users can test their smart contracts against various scenarios. This testing should be facilitated by NeuroSolidTG, which simulates different conditions and evaluates the contract's performance and reliability.

4. **Deployment Assistance**: Guide users through the process of deploying their optimized smart contracts onto the Ethereum network. Utilize NeuroSolidTG to assist in generating deployment scripts and ensuring all necessary steps are followed securely.

5. **Monitoring and Maintenance**: Once deployed, offer continuous monitoring of the smart contract's performance and any issues that arise. NeuroSolidTG should help in analyzing logs and proposing maintenance actions if needed.

In addition to these core functionalities, consider adding:
- An intuitive user interface that simplifies interactions with NeuroSolidTG's complex backend processes.
- Integration with popular Ethereum wallets for seamless contract deployment.
- Detailed documentation and support resources for users new to smart contract development.

The goal is to create a comprehensive tool that not only simplifies the process of developing and managing Ethereum smart contracts but also enhances their security and efficiency using advanced neurosymbolic techniques.