AI Analysis
The package shows minimal signs of potential malicious activity, but the author's lack of a GitHub link and other metadata raises some concerns.
- No network or shell risks detected.
- Low obfuscation and credential risks.
- Author has only one package without a GitHub link.
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: Shell execution may be necessary for certain functionalities, but it requires scrutiny to ensure it's not being used for malicious purposes.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
- Metadata: The author has only one package and no GitHub link, which may indicate a less established or potentially suspicious account.
Package Quality Overall: Low (4.4/10)
Test suite present — 2 test file(s) found
Test runner config found: conftest.pyTest runner config found: pyproject.toml2 test file(s) detected (e.g. conftest.py)
Some documentation present
Detailed PyPI description (2291 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
98 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
Found 1 shell execution pattern(s)
try: completed = subprocess.run( [self.executable, *args], c
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
1 maintainer concern(s) found
Author "OpenAI Codex" 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 small utility application named 'ArtifactManager' using Python and the 'artifact-locker' package. This application will serve as a simple CLI tool for managing artifacts stored in Oracle Cloud Infrastructure (OCI). The goal is to create a user-friendly interface that allows users to easily catalog, retrieve, and manage their artifacts within their OCI environment. ### Core Features: 1. **Catalog Creation**: Users should be able to create a new catalog for their artifacts. Each catalog will have a unique name and description. 2. **Artifact Upload**: Implement functionality to upload artifacts into a specified catalog. Artifacts can be of any type but should support common file formats like .txt, .csv, .json, etc. 3. **Artifact Listing**: Provide a feature to list all artifacts within a specific catalog, including their names, sizes, and upload dates. 4. **Artifact Download**: Allow users to download artifacts from their catalogs. 5. **Artifact Deletion**: Implement a command to delete artifacts from a catalog. 6. **Catalog Deletion**: Include a feature to delete entire catalogs if they are no longer needed. 7. **Search Functionality**: Add a search function that allows users to find specific artifacts based on keywords found within the artifact content. ### Additional Features (Optional): - **Versioning**: Implement version control for artifacts, allowing multiple versions of the same artifact to be stored. - **Permissions Management**: Enable setting permissions for different users or groups to access specific catalogs or artifacts. - **Notifications**: Integrate email notifications for important events such as successful uploads/downloads, deletions, etc. ### Utilizing 'artifact-locker': - Use 'artifact-locker' to interact with OCI services for storing and retrieving artifacts. - Leverage its CLI capabilities to handle authentication and authorization with OCI. - Explore the documentation of 'artifact-locker' to understand how to utilize it effectively for artifact management tasks. ### Deliverables: - A well-documented Python script that serves as the CLI for 'ArtifactManager'. - Clear instructions on how to install dependencies and run the application. - Example use cases demonstrating how to perform each core function. - Suggestions for future enhancements or additional features that could be added to 'ArtifactManager'. This project aims to showcase your ability to integrate third-party packages into a practical application while providing value to users through efficient artifact management.
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