AI Analysis
Final verdict: SAFE
The package does not exhibit any signs of malicious activity or high-risk behavior such as network calls, shell executions, obfuscations, or credential harvesting.
- No network calls detected.
- No shell execution patterns detected.
- No obfuscation or credential harvesting detected.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external communication.
- Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
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
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 aam-py
Your task is to create a fully-functional mini-application that parses and manages configurations using the 'aam-py' Python package, which acts as a bridge between your Python environment and the 'aam-rs' AAML configuration parser. This application will serve as a robust configuration management tool for developers who wish to streamline their workflow with customizable settings and options. ### Application Overview: - **Name:** ConfigCraft - **Purpose:** To provide an easy-to-use interface for parsing, editing, and managing configurations written in AAML (AAM Language). - **Target Users:** Developers, system administrators, and anyone who needs to manage complex configurations efficiently. ### Core Features: 1. **Configuration Parsing:** Ability to read and parse AAML files into a structured format that can be easily manipulated in Python. 2. **Interactive Editing:** Allow users to edit parsed configurations directly through the application's interface. 3. **Exporting Options:** Provide functionality to export edited configurations back to AAML or other supported formats. 4. **Validation:** Implement basic validation checks to ensure the integrity of the configurations before saving. 5. **User Interface:** Develop a simple command-line interface (CLI) for interacting with the application. ### Detailed Steps: 1. **Setup Environment:** Ensure you have Python installed on your machine. Install 'aam-py' via pip (`pip install aam-py`). 2. **File Handling:** Create functions to handle file operations such as opening, reading, writing, and validating AAML files. 3. **Parsing Logic:** Use 'aam-py' to parse the AAML files into Python objects. This step involves understanding the structure of AAML and mapping it to Python data structures. 4. **Editing Interface:** Develop a CLI where users can navigate through the parsed configurations, modify values, add new entries, and delete existing ones. 5. **Saving Changes:** Implement functionality to save the modified configurations back to AAML files or convert them to other formats like YAML or JSON. 6. **Testing:** Write tests to validate the correctness of your parsing and editing functionalities. 7. **Documentation:** Prepare documentation explaining how to use the ConfigCraft application and how 'aam-py' integrates within it. ### Additional Suggestions: - Consider adding support for version control, allowing users to revert to previous versions of their configurations. - Explore integrating with popular IDEs or text editors for a more seamless experience. - Add a feature that suggests improvements or optimizations based on best practices in configuration management. This project not only leverages the powerful capabilities of 'aam-py' but also provides a practical solution for managing configurations in a variety of projects.