AI Analysis
The package has a moderate risk score due to potential metadata issues such as missing a GitHub repository and incomplete author information.
- Lack of a GitHub repository
- Incomplete author profile
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell execution patterns detected, indicating the package likely does not execute external commands.
- Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
- Metadata: The package shows several red flags including a lack of a GitHub repository, an incomplete author profile, and the presence of non-secure links.
Package Quality Overall: Low (2.4/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (1962 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
No type annotations detected
No type annotations, py.typed marker, or stub files detected
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: gms.tf>
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://www.numpy.org/
No GitHub repository linked
No GitHub repository link found
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor 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
Create a Python-based mini-application named 'QRDataOptimiser' that leverages the 'b45' package for efficient QR code data transmission. This application will serve as a tool for converting arbitrary data into Base45 encoded strings which can then be embedded into QR codes, thus optimizing the space usage within QR codes for better data transfer efficiency. Step-by-Step Requirements: 1. Installation of Dependencies: Ensure the 'b45' package is installed along with any other necessary packages like 'qrcode' for generating QR codes. 2. Data Input: Develop a user-friendly interface where users can input their data (text, images, etc.) they wish to encode into a QR code. 3. Encoding Process: Implement a function that uses the 'b45' package to convert the input data into a Base45 encoded string. This process should be efficient and capable of handling large amounts of data. 4. QR Code Generation: Once the data is encoded, use the 'qrcode' library to generate a QR code that contains the Base45 encoded string. 5. Output Options: Provide options for the user to either save the generated QR code image to their local machine or directly view it within the application. 6. Decoding Functionality: Include a feature that allows users to decode a QR code back into its original form using the 'b45' package, ensuring the integrity and accuracy of the data during the round-trip from encoding to decoding. Suggested Features: - User Interface Customization: Allow users to customize the appearance of the QR code (colors, size). - Batch Processing: Enable the ability to encode/decode multiple files at once. - Error Handling: Implement robust error handling mechanisms to manage issues such as incorrect input formats or decoding errors. - Documentation: Provide comprehensive documentation detailing how to use the application, including examples and best practices for data encoding and decoding processes.
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