AI Analysis
The package shows some concerning signs due to its minimal activity and poor metadata quality, despite having low risks in terms of network usage, shell execution, obfuscation, and credential handling.
- Metadata risk score of 4 out of 10
- New package with limited activity
Per-check LLM notes
- Network: The use of requests.Session is common and generally safe, but the hardcoded 'http' prefix might indicate potential unencrypted data transfer.
- Shell: No shell execution patterns detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package is new with minimal activity and poor metadata quality, raising some suspicion but not definitive indicators of malicious intent.
Package Quality Overall: Low (3.6/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (910 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
45 type-annotated function signatures detected in source
Limited contributor diversity
1 unique contributor(s) across 26 commits in sandervd/axiomSingle author but highly active (26 commits)
Heuristic Checks
Found 1 network call pattern(s)
f.session: requests.Session = requests.Session() insecure = False self.prefix: str = "http
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: ext.ec.europa.eu>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "Sander Van Dooren" 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
Develop a mini-application named 'ModelMover' that leverages the 'axiom-cli' Python package to streamline the management of data model packages within an organization. ModelMover should provide a user-friendly interface for developers and data scientists to easily push, pull, and manage their data models stored in an OCI registry. The application should support the following core functionalities: 1. **Push Data Models**: Allow users to upload their data models to the specified OCI registry. Users should be able to specify the model name, version, and any additional metadata. 2. **Pull Data Models**: Provide functionality to download data models from the registry based on the model name and version. Users should be able to specify the destination path for the downloaded models. 3. **List Available Models**: Display a list of all available data models in the registry, including their versions and metadata. This will help users to quickly find and select the desired model. 4. **Search Models**: Implement a search feature that allows users to search for specific models by name or metadata tags. 5. **Delete Models**: Enable users to delete specific data models from the registry. This should include confirmation prompts to prevent accidental deletions. 6. **Version Management**: Support the creation and management of different versions of the same model, allowing users to keep track of changes and revert to previous versions if needed. 7. **Authentication and Authorization**: Integrate authentication mechanisms to ensure secure access to the data models. Users should be prompted to enter credentials when accessing sensitive models. 8. **User Interface**: Develop a simple but intuitive command-line interface (CLI) for interacting with the application. The UI should provide clear instructions and feedback to the users. 9. **Logging and Reporting**: Implement logging capabilities to record all actions performed through the application. Additionally, generate periodic reports summarizing model activity. To achieve these functionalities, the 'axiom-cli' package will be utilized extensively. For instance, the 'push' and 'pull' commands provided by 'axiom-cli' will be integrated into ModelMover's core logic. Similarly, other commands like 'list', 'search', and 'delete' will leverage the corresponding features of 'axiom-cli'. The application should also handle exceptions gracefully and provide meaningful error messages to assist users in troubleshooting issues.
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