AI Analysis
The package shows minimal risk indicators with no signs of malicious activity or shell execution. However, the metadata risk due to low repository activity and limited maintainer history slightly elevates the overall score.
- Low network, shell, obfuscation, and credential risks.
- Moderate metadata risk due to low repository activity and limited maintainer history.
Per-check LLM notes
- Network: The observed network call pattern is expected as it suggests the package is designed to make HTTP requests to an API using an API key.
- Shell: No shell execution patterns were detected, indicating no risk from this aspect.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
- Metadata: The repository's low activity and the maintainer's limited history suggest potential risk.
Package Quality Overall: Medium (5.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Documentation" -> https://github.com/NeuronumOfficial/apisix-clientBrief PyPI description (674 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Classifier: Typing :: Typed55 type-annotated function signatures detected in source
Active multi-contributor project
3 unique contributor(s) across 37 commits in NeuronumOfficial/apisix-clientSmall but multi-author team (3–4 contributors)
Heuristic Checks
Found 1 network call pattern(s)
self._httpx_client = httpx.Client(base_url=self._base_url, headers={"X-API-KEY": api_key})
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: neuronum.sk
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a mini-application called 'APISIX Dashboard' that serves as a user-friendly interface for managing Apache APISIX routes and plugins via its Admin API using the 'apisix-client' Python SDK. This application will allow users to perform CRUD operations on routes and manage plugins associated with those routes. Here are the steps and features you need to implement: 1. **Setup and Initialization**: Begin by installing the 'apisix-client' package. Ensure your application connects to an existing APISIX instance. Implement a login feature where users can authenticate themselves before accessing the dashboard. 2. **CRUD Operations on Routes**: Develop functionalities to create, read, update, and delete routes within APISIX. Users should be able to specify route details such as the upstream server, URI pattern, methods allowed, and more. 3. **Manage Plugins**: Allow users to add, remove, and configure plugins for each route. Display a list of available plugins and their configurations. For example, users could enable or disable plugins like rate-limiting, authentication, or logging. 4. **User Interface**: Design a simple yet intuitive web-based UI for the dashboard. Use frameworks like Flask or Django for backend development and Bootstrap for styling. Ensure the UI is responsive and accessible. 5. **Security Enhancements**: Implement security measures such as HTTPS support, input validation, and protection against common web vulnerabilities like SQL injection or XSS attacks. 6. **Documentation and Testing**: Provide comprehensive documentation for setting up the application and using it effectively. Write unit tests for your codebase to ensure reliability and robustness. The 'apisix-client' package will be extensively used throughout this project. It simplifies interactions with the APISIX Admin API, providing methods to perform operations on routes and plugins. Your task is to leverage these methods to build a feature-rich dashboard that makes managing APISIX easier and more efficient.
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