AI Analysis
Final verdict: SUSPICIOUS
The package exhibits low individual risks but the maintainer's metadata suggests low effort or potential risk, warranting further investigation.
- New or inactive maintainer account
- Lack of detailed package metadata
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external API interactions.
- Shell: No shell execution detected, which is normal as most packages do not require direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating secure handling of sensitive information.
- Metadata: The maintainer has a new or inactive account and lacks detailed metadata, suggesting low effort or potential risk.
Package Quality Overall: Low (3.6/10)
✦ High
Test Suite
9.0
Test suite present — 14 test file(s) found
14 test file(s) detected (e.g. test_default_api.py)
○ 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
54 type-annotated function signatures detected in source
○ Low
Multiple Contributors
1.0
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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: openapitools.org
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 "OpenAPI Generator community" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with allen-powerplatform-client
Your task is to develop a simple but powerful utility app using the Python package 'allen-powerplatform-client'. This utility will allow users to manage their Power Platform environments, such as creating, updating, and deleting environments, as well as managing solutions and components within those environments. The application should include the following core functionalities: 1. Authentication: Users must authenticate via OAuth to access their Power Platform tenant. 2. Environment Management: Allow users to create, update, and delete environments within their tenant. 3. Solution Management: Enable users to import, export, and manage solutions within selected environments. 4. Component Management: Provide the ability to add, modify, and remove custom components (like flows, apps, etc.) within solutions. 5. Logging and Reporting: Implement logging of actions performed and generate reports on environment health and usage statistics. Utilize the 'allen-powerplatform-client' package to interact with the Power Platform API endpoints efficiently. Ensure your application is user-friendly, providing clear instructions and feedback at each step of the process. Additionally, consider implementing error handling to gracefully deal with any issues that may arise during operations. This project aims to showcase the capabilities of the 'allen-powerplatform-client' package while delivering a practical tool for managing Power Platform resources.
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