AI Analysis
Final verdict: SAFE
The package exhibits minimal risk factors with no network calls, shell executions, or obfuscation techniques observed. However, incomplete maintainer information and lack of a GitHub repository slightly elevate metadata risk.
- No network calls
- Incomplete maintainer information
Per-check LLM notes
- Network: No network calls suggest the package does not engage in external communications which is normal unless expecting API interactions.
- Shell: No shell execution detected implies there's no direct system command invocation, reducing risk of unauthorized access or behavior.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package has no associated GitHub repository and the maintainer's information is incomplete, which raises some concerns.
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
Email domain looks legitimate: delaware.pro>
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 adp-api-transformer
Your task is to create a Python-based mini-application named 'ADP-API-Transformer-CLI' which will serve as a command-line interface tool for developers to transform and split OpenAPI specifications for the ADP1 APIM repository. This application will utilize the 'adp-api-transformer' package to achieve its primary functionality. Here are the steps and features you need to implement: 1. **Setup**: Begin by installing the necessary packages including 'adp-api-transformer'. Ensure your application is structured in a way that allows for easy installation via pip. 2. **Command Line Interface (CLI)**: Develop a CLI where users can specify the input file (OpenAPI spec in JSON or YAML format), transformation rules, and output directory. The CLI should support options for specifying whether the user wants to split the API into multiple smaller APIs based on specific criteria (e.g., by path, operation, etc.). 3. **Transformation Rules**: Allow users to define custom transformation rules. These could include renaming paths, modifying operation IDs, adding/removing security requirements, etc. Users should also be able to provide a JSON configuration file that specifies these rules. 4. **Splitting Capabilities**: Implement logic to split the original OpenAPI spec into multiple smaller specs based on user-defined criteria. For example, splitting by path prefix or grouping operations based on tags. 5. **Output Management**: After processing, ensure that the transformed and/or split specs are saved to the specified output directory. Each new spec should be named appropriately based on the transformation/splitting criteria. 6. **Error Handling and Logging**: Incorporate robust error handling and logging mechanisms to help diagnose issues if something goes wrong during the transformation process. 7. **Documentation and Help**: Provide comprehensive documentation and a help menu within the CLI that explains how to use each feature and option available in the tool. This project aims to streamline the process of managing and transforming complex OpenAPI specifications for developers working with ADP1 APIM repositories, making it easier to maintain and scale their API infrastructure.