AI Analysis
The package exhibits low risks across all categories analyzed, with no indications of malicious activity or supply-chain attacks.
- Low risk scores across network, shell, obfuscation, and credential categories.
- Metadata suggests a single package from the maintainer, possibly indicating a new or less active account.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, which might indicate a new or less active account, but no other red flags were raised.
Package Quality Overall: Low (2.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (10918 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
55 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
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: remedypointsolutions.com>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
1 maintainer concern(s) found
Author "Dmitry Marchuk" 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 small inventory management system using Python and the 'ash-dal' package. This system should allow users to manage products in a database, including adding new products, updating product information, deleting products, and listing all products. Additionally, implement a feature that allows searching for products by name or category. Steps: 1. Set up your development environment with Python and install the 'ash-dal' package. 2. Use 'ash-dal' to define the structure of your database, specifically a table for storing product details such as ID, name, description, price, and category. 3. Implement a Base DAO class provided by 'ash-dal' to handle basic CRUD operations on the product table. 4. Create a command-line interface where users can interact with the inventory management system. 5. Add functionalities to the CLI for adding, updating, deleting, and listing products. 6. Implement a search function that allows users to find products based on their name or category. 7. Ensure data validation is in place for all user inputs. 8. Test the application thoroughly to ensure all functionalities work as expected. Suggested Features: - User-friendly CLI prompts guiding users through each action. - Error handling for invalid user inputs or database errors. - Option to export the current inventory as a CSV file. - Basic authentication to restrict access to certain commands.
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