AI Analysis
The package is deemed safe with minimal risks identified. While there are some network and shell execution risks, they are typical for bioinformatics packages that require external data downloads and local command executions.
- moderate network risk
- moderate shell risk
Per-check LLM notes
- Network: Network calls to download files are common but should be verified against known good URLs.
- Shell: Executing shell commands can introduce risks if not properly sanitized or validated.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows some minor red flags but no strong evidence of malice or typosquatting.
Heuristic Checks
Found 2 network call pattern(s)
path): response = requests.get(COMBINED_CM) with open(cm_gz_path, "wb") as f:path): response = requests.get(SEPARATE_CM) with open(cm_gz_path, "wb") as f:
No obfuscation patterns detected
Found 2 shell execution pattern(s)
ion) try: subprocess.run(["cmpress", cm_path], check=True, capture_output=True)name] completed = subprocess.run( command, check=True,
No credential harvesting patterns detected
No typosquatting candidates detected
Suspicious email domain flags: Very short email domain: cs.put.poznan.pl>
Very short email domain: cs.put.poznan.pl>
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://eddylab.org/infernal/
Repository tzok/rnapolis-py appears legitimate
1 maintainer concern(s) found
Author "Tomasz Zok" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a mini-application named 'RNAAnalyzer' using the Python package 'RNApolis'. This application will serve as a comprehensive tool for RNA sequence analysis and manipulation. Hereβs a detailed breakdown of the project requirements and functionalities: 1. **Project Setup**: Start by installing the required packages including RNApolis. Ensure your environment is set up correctly. 2. **Core Functionality**: - **Sequence Input**: Allow users to input RNA sequences either manually or via a file upload. - **Sequence Analysis**: Utilize RNApolis to perform basic analysis such as calculating GC content, identifying secondary structures, and predicting folding energy. 3. **Advanced Features**: - **Mutational Impact**: Implement a feature to simulate mutations at specified positions and analyze their impact on the RNA structure and stability. - **Sequence Comparison**: Provide functionality to compare two RNA sequences based on similarity and structural changes. 4. **User Interface**: Develop a simple but effective command-line interface (CLI) or a web-based interface using Flask or Django if you prefer. 5. **Output Presentation**: Ensure the results are presented clearly, possibly in a formatted text output or graphical representation depending on the complexity of the data. 6. **Documentation**: Write clear documentation explaining how to install, use, and contribute to the application. 7. **Testing**: Include unit tests to ensure the reliability of the applicationβs core functionalities. Your task is to design and implement this application from scratch, leveraging the RNApolis package to handle all RNA-related computations. Focus on making the application user-friendly and efficient.
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