🤖 AI Analysis

Final verdict: SUSPICIOUS

The package SynPlanner v1.5.0 has a relatively low risk profile with no detected network calls, shell executions, or credential harvesting attempts. However, the incomplete maintainer information and potential inactivity of the author raise concerns about its provenance and long-term support.

Incomplete maintainer information
Potential inactivity of the author

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communications.
Shell: No shell execution patterns detected, indicating the package does not execute system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
Metadata: The maintainer's information is incomplete and the author seems new or inactive, raising 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

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ 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 SynPlanner

Your task is to develop a mini-application called 'SynthWizard' which will serve as a tool for chemists and researchers to plan and optimize chemical synthesis pathways. This application should leverage the SynPlanner Python package to offer a user-friendly interface where users can input their target molecules and receive detailed synthesis plans. Here’s a step-by-step guide on how to build this application:

1. **Setup Environment**: Ensure you have Python installed along with necessary libraries including SynPlanner.
2. **Design User Interface**: Create a simple yet effective GUI using a library such as Tkinter. The UI should allow users to either draw molecules or upload SMILES strings of target molecules.
3. **Integration with SynPlanner**: Use SynPlanner to process the inputted molecules and generate possible synthesis routes. Display these routes in a readable format within the app.
4. **Optimization Module**: Implement an optimization feature that allows users to refine their results based on criteria like cost, availability of reagents, and environmental impact.
5. **Output and Sharing**: Provide functionality for users to save the output as a PDF report or share it directly via email.
6. **Testing and Validation**: Test the application with various molecules to ensure accuracy and reliability.
7. **Documentation and Support**: Write comprehensive documentation and provide support for users who might encounter issues.

Suggested Features:
- Interactive molecule drawing tool integrated into the GUI.
- Real-time suggestions for reagent substitutions.
- Detailed cost analysis for each proposed route.
- Comparison charts for different synthesis routes.
- Integration with external databases for real-time pricing and availability data.

By following these steps and incorporating these features, you will create a powerful tool that simplifies complex tasks for chemists and researchers.