AI Analysis
The package shows no signs of malicious activity based on the provided analysis notes. However, the maintainer's limited presence and lack of additional verification points add a slight concern.
- No network calls detected
- No shell execution patterns
- No obfuscation or credential harvesting patterns
- Maintainer has only one package and lacks a GitHub repository
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external API interactions.
- Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating a low risk of code being hidden for malicious purposes.
- Credentials: No credential harvesting patterns detected, suggesting the package does not pose a threat in terms of stealing secrets or credentials.
- Metadata: The maintainer has only one package and lacks a GitHub repository, which could indicate a new or less active developer.
Package Quality Overall: Low (2.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (2483 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: cesnet.cz
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
1 maintainer concern(s) found
Author "Tomas Hlava" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Your task is to develop a simple yet powerful command-line utility in Python that leverages the 'aws-plugin-bucket-policy' package to manage AWS S3 bucket policies more efficiently. This tool will allow users to easily view, update, and manage their S3 bucket policies without needing to manually edit JSON files or directly interact with the AWS console. Step-by-Step Requirements: 1. **Setup**: Install necessary packages including 'aws-plugin-bucket-policy', boto3, and argparse for argument parsing. 2. **Authentication**: Implement functionality for user authentication using AWS credentials stored in environment variables or a configuration file. 3. **View Policy**: Create a command that allows users to view the current policy of an S3 bucket. 4. **Update Policy**: Develop a feature that lets users update the policy of an S3 bucket. Users should be able to specify which part of the policy they want to modify, such as adding or removing permissions. 5. **Add/Remove Statements**: Provide commands for adding or removing specific statements from the bucket policy. 6. **Validation**: Ensure all changes made are valid according to AWS S3 bucket policy requirements before applying them. 7. **Help Documentation**: Include comprehensive help documentation that explains how to use each command and what parameters are available. Suggested Features: - Support for multiple regions. - Ability to preview changes before applying them. - Logging of all actions performed on the bucket policies. - Option to rollback changes if something goes wrong during an update. How to Utilize 'aws-plugin-bucket-policy': This package extends the functionality of the AWS CLI for managing S3 bucket policies. It provides an easy-to-use interface for viewing and modifying bucket policies. Your application will utilize this package to interact with S3 buckets, allowing you to leverage its capabilities to handle complex policy operations in a streamlined manner.
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