aiconfigurator

v0.9.0 suspicious
4.0
Medium Risk

aiconfigurator: automatic disaggregated serving offline configuration

πŸ€– AI Analysis

Final verdict: SUSPICIOUS

The package shows no immediate signs of malicious activity such as network calls, shell execution, or obfuscation. However, the missing maintainer information and the potential inactivity raise concerns about its provenance and ongoing support.

  • Missing maintainer information
  • Potential inactivity of the maintainer
Per-check LLM notes
  • Network: No network calls suggest the package does not engage in unexpected external communications.
  • Shell: No shell execution patterns indicate the package is not executing commands on the host system.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer's author name is missing and they appear to be new or inactive, which raises some suspicion but does not conclusively indicate malicious intent.

πŸ“¦ Package Quality Overall: Medium (5.0/10)

β—‹ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
β—ˆ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (25162 chars)
β—‹ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
β—ˆ Medium Type Annotations 5.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 21 unique contributor(s) across 100 commits in ai-dynamo/aiconfigurator
  • Active community β€” 5 or more distinct contributors

πŸ”¬ Heuristic Checks

βœ“ Outbound Network Calls

No suspicious network call patterns found

βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: nvidia.com>

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

Repository ai-dynamo/aiconfigurator appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with aiconfigurator
Create a fully-functional mini-app that leverages the 'aiconfigurator' Python package to manage configurations for a simple yet practical web scraping tool. This app will allow users to define and manage various scraping tasks with ease, all while handling configurations in an efficient and scalable manner. Here’s a detailed breakdown of the project requirements and features:

1. **User Interface**: Develop a user-friendly interface where users can input URLs, specify scraping rules, and set up task schedules. The UI should support adding new tasks, editing existing ones, and deleting unwanted tasks.
2. **Configuration Management**: Utilize the 'aiconfigurator' package to handle the storage and retrieval of these configurations. Ensure that configurations are stored in a way that supports versioning and easy access for both read and write operations.
3. **Scraping Engine**: Implement a robust scraping engine that can execute scheduled tasks based on the configurations provided. The engine should be capable of handling multiple simultaneous tasks without performance degradation.
4. **Data Handling**: Define how scraped data should be handled - whether it needs to be stored locally, sent to a remote server, or processed in real-time. Provide options for customization in the UI.
5. **Error Handling and Logging**: Integrate comprehensive error logging and handling mechanisms. Logs should capture errors during the execution of scraping tasks and any issues encountered when managing configurations.
6. **Security Considerations**: Ensure that sensitive information such as API keys and authentication details are securely managed within the configurations using encryption or other secure methods supported by 'aiconfigurator'.
7. **Documentation**: Provide clear documentation on how to install and use the app, including instructions for setting up the environment, running the application, and managing configurations.

In this project, 'aiconfigurator' will play a crucial role in automating the process of serving and managing configurations for the web scraping tasks. It will help in maintaining a clean separation between the configuration management logic and the scraping logic, thereby enhancing the scalability and maintainability of the application.