AI Analysis
Final verdict: SUSPICIOUS
The package amnay v0.1.1 has no signs of immediate malicious intent such as obfuscation or credential harvesting. However, the lack of a repository and the maintainer's limited package history raises some concerns about potential low activity or newness, making it suspicious.
- No repository found for the package
- Maintainer has only one package
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The repository is not found and the maintainer has only one package, which may indicate low activity or newness, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (2.0/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
○ Low
Documentation
1.0
No documentation detected
No documentation URL, doc files, or meaningful description found
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
5 type-annotated function signatures (partial)
○ Low
Multiple Contributors
1.0
Could not retrieve contributor data from GitHub
GitHub API error: 404
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
score 3.0
Repository not found (deleted or private)
Repository not found (deleted or private)
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Rezak Aziz" 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 amnay
Your task is to develop a fully-functional mini-application named 'PipelineGuardian' using the Python package 'amnay'. This application will serve as a tool for developers and DevOps engineers to validate their CI/CD pipelines before they are deployed, ensuring they meet certain standards and best practices. Here’s a detailed breakdown of what your application should accomplish: 1. **Setup**: Start by installing the 'amnay' package in your virtual environment. Ensure you have the necessary dependencies installed as well. 2. **User Interface**: Design a simple command-line interface (CLI) for users to interact with your application. The CLI should allow users to input the path to their CI/CD configuration file (e.g., Jenkinsfile, GitHub Actions YAML). 3. **Validation Engine**: Utilize the core functionalities of 'amnay' to parse and validate the CI/CD pipeline configurations. Your application should check for common issues such as missing stages, incorrect syntax, outdated plugins, and security vulnerabilities. 4. **Report Generation**: After validation, your application should generate a detailed report highlighting any issues found in the pipeline configuration. This report should be both human-readable and machine-readable (JSON format), making it easy to integrate into other tools or systems. 5. **Custom Rules**: Allow users to define custom rules for pipeline validation through configuration files or command-line arguments. These rules could include mandatory steps, prohibited commands, or specific plugin versions. 6. **Integration**: Demonstrate how 'PipelineGuardian' can be integrated into existing CI/CD workflows. For example, show how it can be run as part of a pre-commit hook or as a standalone script during pipeline testing phases. 7. **Documentation**: Write comprehensive documentation for your application, including setup instructions, usage examples, and an API reference if applicable. 8. **Testing**: Implement unit tests and integration tests to ensure your application works correctly under various scenarios. Use mock data for CI/CD configurations to simulate different pipeline setups. By following these steps, you'll create a robust, user-friendly application that leverages 'amnay' to enhance the reliability and security of CI/CD pipelines. This project will not only demonstrate your ability to work with advanced Python packages but also showcase your understanding of software development best practices.
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