AI Analysis
The package exhibits very low risks across all analyzed categories, with no indications of malicious activity or unusual behavior.
- No network calls detected.
- No shell execution patterns.
- No obfuscation or credential harvesting patterns.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external API access for its functionality.
- Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands from within the package.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author has only one package and lacks PyPI classifiers, indicating low engagement with the platform.
Package Quality Overall: Low (4.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Documentation" -> https://github.com/ansys/ansys-api-discovery/#readmeDetailed PyPI description (1218 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Active multi-contributor project
5 unique contributor(s) across 100 commits in ansys/ansys-api-discoveryActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: ansys.com
All external links appear legitimate
Repository ansys/ansys-api-discovery appears legitimate
2 maintainer concern(s) found
Author "ANSYS, Inc." appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a Python-based mini-application called 'Ansys Discovery Explorer' that leverages the 'ansys-api-discovery' package to interact with the Ansys Discovery API. This application will serve as a user-friendly tool for discovering and managing services provided by Ansys Discovery, allowing users to query available services, retrieve detailed information about each service, and potentially perform actions based on these services. Step 1: Set up your development environment by installing Python and the 'ansys-api-discovery' package. Ensure you have access to the Ansys Discovery API and understand its basic structure and requirements. Step 2: Design the main functionalities of the application: - Service Discovery: Implement a feature that lists all available services provided by Ansys Discovery. Use the 'ansys-api-discovery' package to connect to the API and fetch this information. - Detailed Information: Allow users to select a specific service from the list and view detailed information about it, such as description, endpoints, and supported operations. - Action Execution: If possible, implement functionality that allows users to execute simple actions or queries against selected services through the application interface. Step 3: Develop a user-friendly interface for the application. Consider using a console-based interface for simplicity, but feel free to explore graphical interfaces if you're comfortable with GUI programming in Python. Suggested Features: - Interactive Help: Provide a help menu that explains how to use each feature of the application. - Customizable Output Format: Allow users to choose how they want the output displayed (e.g., plain text, JSON). - Error Handling: Implement robust error handling to manage issues like network connectivity problems or invalid inputs gracefully. - Logging: Integrate logging to record important events and errors for debugging and auditing purposes. How to Utilize 'ansys-api-discovery': - Use the package to establish a connection to the Ansys Discovery API. - Employ the package's methods to request and parse data from the API, such as listing services and fetching details. - Leverage the package's capabilities to securely communicate with the API, ensuring data integrity and confidentiality.
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