AI Analysis
The package shows low risk in terms of network calls, shell execution, obfuscation, and credential harvesting. However, the new or inactive PyPI account and lack of community engagement raise concerns about its legitimacy and security.
- New or inactive PyPI maintainer
- Lack of community engagement
Per-check LLM notes
- Network: No network calls detected, indicating low risk.
- Shell: Shell execution appears to be related to configuration and script execution, which could be normal for CLI tools but should be reviewed for the specific use-case and context.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has a new or inactive PyPI account, and the repository lacks community engagement.
Package Quality Overall: Medium (5.2/10)
Test suite present — 3 test file(s) found
Test runner config found: pyproject.toml3 test file(s) detected (e.g. test_config_param_and_decorators.py)
Some documentation present
Detailed PyPI description (9128 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
69 type-annotated function signatures detected in source
Limited contributor diversity
1 unique contributor(s) across 22 commits in rsanchezgarc/autoCLI_configSingle author but highly active (22 commits)
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
Found 4 shell execution pattern(s)
with config result = subprocess.run( ["python", str(script_path), "--config", str(yatches config result = subprocess.run( ["python", str(script_path), "--config", str(yaets to True) result = subprocess.run( ["python", str(script_path), "--config", str(yaconfig file) result = subprocess.run( ["python", str(script_path), "--batch_size", "1
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: faculty.ie.edu>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
1 maintainer concern(s) found
Author "Ruben Sanchez-Garcia" 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 fully functional command-line utility named 'ConfigMaster' that leverages the 'autoCLI-config' package to manage configurations for various applications in a user-friendly manner. This utility should allow users to easily create, modify, and document configurations without needing to manually write or edit configuration files. Here are the steps and features you should include: 1. **Project Setup**: Initialize a new Python project with 'autoCLI-config' installed. 2. **Configuration Management**: Implement functionalities to add, update, delete, and view configurations. Each configuration should have a unique identifier and support nested structures. 3. **Documentation Generation**: Automatically generate Markdown documentation for each configuration, detailing its purpose, structure, and usage examples. 4. **User Interface**: Design a clean and intuitive CLI interface using 'autoCLI-config'. Ensure commands are self-explanatory and provide context-sensitive help. 5. **Validation**: Add validation rules for configurations to ensure data integrity. For example, validate types, ranges, and required fields. 6. **Persistence**: Save configurations to a file or database, ensuring they persist across sessions. 7. **Security**: Implement basic security measures such as encryption for sensitive configurations. 8. **Testing**: Write unit tests to cover all major functionalities of 'ConfigMaster'. Explain how 'autoCLI-config' simplifies each of these steps, focusing on its automatic configuration management and documentation generation capabilities.
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