AI Analysis
The package aiven-client v4.15.0 exhibits low risk across all evaluated categories with no detected network calls, shell executions, or obfuscation techniques. While there is a minor concern regarding incomplete metadata, this alone is insufficient to suggest a supply-chain attack.
- Low risk scores in network, shell, and obfuscation categories.
- Incomplete maintainer metadata.
Per-check LLM notes
- Network: No network calls detected, which is normal for a package that does not require external API interactions.
- Shell: No shell execution detected, which is expected as typical packages do not execute shell commands unless necessary.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer's author information is incomplete and the maintainer has only one package, which may indicate a less experienced or potentially suspicious account.
Package Quality Overall: Medium (7.0/10)
Test suite present β 7 test file(s) found
7 test file(s) detected (e.g. test_argx.py)
Some documentation present
Documentation URL: "Documentation" -> https://docs.aiven.io/docs/tools/cliDetailed PyPI description (16315 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
399 type-annotated function signatures detected in source
Active multi-contributor project
39 unique contributor(s) across 100 commits in aiven/aiven-clientActive community β 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: aiven.io>
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://www.python-requests.org/
Repository aiven/aiven-client appears legitimate
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
Your task is to develop a simple yet powerful CLI tool using the 'aiven-client' package to manage services on Aiven.io. This tool should allow users to perform common operations such as listing all services, creating a new Kafka service, and deleting an existing PostgreSQL service. Hereβs a detailed breakdown of what your tool should accomplish: 1. **Initialization**: Your application should initialize with a login process where it requests user credentials (API token) to authenticate with Aiven.io. 2. **Service Listing**: Implement a feature that lists all services associated with the user's account, displaying key details like service name, type, and cloud provider. 3. **Kafka Service Creation**: Provide functionality to create a new Kafka service. Users should be able to specify parameters such as service name, cloud provider, region, and other relevant configurations. 4. **PostgreSQL Service Deletion**: Include an option to delete a PostgreSQL service. Ensure thereβs a confirmation step before deletion to prevent accidental loss of data. 5. **Interactive Menu**: Design an interactive menu system that allows users to navigate through different commands easily. 6. **Logging and Error Handling**: Integrate logging to record actions performed and errors encountered. Ensure robust error handling to guide users through any issues smoothly. 7. **Configuration File Support**: Allow saving user credentials and preferences in a configuration file for future use, enhancing usability. To achieve these functionalities, you will heavily rely on the 'aiven-client' package. Specifically, utilize its methods to interact with Aiven.ioβs API endpoints for service management tasks. Make sure to document each function and method used from the 'aiven-client' package clearly in your code comments for better maintainability and understanding.