TAtouScan

v0.2.0 safe
3.0
Low Risk

A command-line tool for identifying toxin-antitoxin (TA) systems in genomes and metagenomes.

🤖 AI Analysis

Final verdict: SAFE

The package TAtouScan appears to be safe for use as it lacks any signs of network calls, shell executions, obfuscation, or credential harvesting. However, its metadata score indicates potential risks due to the maintainer's inactivity and lack of history.

  • No network calls or shell executions detected.
  • Maintainer's inactivity and lack of package history raise minor concerns.
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 likely does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate threat to stored secrets.
  • Metadata: The package seems benign but could be risky due to the maintainer's inactivity and lack of history.

🔬 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

Repository JeanMainguy/TAtouScan appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "Jean Mainguy" 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 TAtouScan 
Create a mini-application called 'TAAnalyzer' that leverages the 'TAtouScan' Python package to identify and analyze toxin-antitoxin (TA) systems within provided genomic sequences. The application should include the following functionalities:

1. User Interface: Develop a simple, user-friendly command-line interface that allows users to input their genomic sequence data.
2. Data Processing: Implement functionality to process and validate the input genomic sequences before analysis.
3. TA System Identification: Utilize the core features of 'TAtouScan' to scan the input sequences for potential TA systems. Ensure the application provides options to customize parameters for TA system detection according to user needs.
4. Analysis Results: Display the identified TA systems in a readable format, including details such as location, type, and confidence score.
5. Reporting: Generate a comprehensive report summarizing the findings, which can be exported in formats like CSV or PDF.
6. Visualization: Integrate basic visualization tools to help users understand the distribution and characteristics of TA systems within their sequences.
7. Help and Documentation: Include thorough documentation and a help section within the application to guide users through its usage.

The goal of 'TAAnalyzer' is to make the powerful capabilities of 'TAtouScan' accessible to researchers and students studying bacterial genetics and genomics. By providing a streamlined, easy-to-use tool, we aim to facilitate the discovery and analysis of TA systems, contributing to our understanding of bacterial survival mechanisms.