AI Analysis
The package appears to be safe with minimal risk indicators. It has no network, shell execution, or obfuscation risks.
- No network calls detected.
- No shell execution patterns detected.
- No obfuscation or credential harvesting patterns detected.
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communications.
- Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author's information is incomplete and the account seems new or inactive, but there are no suspicious links outside localhost.
Package Quality Overall: Medium (6.2/10)
Test suite present β 1 test file(s) found
Test runner config found: pyproject.toml1 test file(s) detected (e.g. views_tests.py)
Some documentation present
Detailed PyPI description (1684 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
11 type-annotated function signatures detected in source
Active multi-contributor project
3 unique contributor(s) across 78 commits in internetarchive/arkletSmall but multi-author team (3β4 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: archive.org>
Found 3 suspicious link(s) on the package page
Non-HTTPS external link: http://127.0.0.1:8000/ark:/13960/t5n960f7nNon-HTTPS external link: http://127.0.0.1:8000/ark:/67375/C0X-SPWFRSGR-NNon-HTTPS external link: http://127.0.0.1:8000/ark:/12148/bpt6k65358454
Repository internetarchive/arklet 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
Create a web-based mini-application using Python and the 'arklet' package that allows users to mint, bind, and resolve ARKs (Atomic Resolution Keys). This application should provide an intuitive user interface where users can input data and receive ARKs as output. Hereβs a detailed plan for your project: 1. **Setup**: Begin by setting up a virtual environment and installing necessary packages including 'arklet', Flask for web framework, and any additional libraries you might need. 2. **User Interface**: Design a simple yet effective HTML/CSS frontend using Bootstrap for responsiveness. Ensure there are forms for inputting data and buttons for initiating actions like minting, binding, and resolving ARKs. 3. **Backend Integration**: Use Flask to handle backend logic. Integrate 'arklet' functions to perform minting, binding, and resolution operations based on user inputs from the frontend. 4. **Minting ARKs**: Implement a feature where users can specify metadata (such as title, description, etc.) and have 'arklet' generate a unique ARK identifier for this metadata. Store this information securely. 5. **Binding ARKs**: Allow users to associate ARKs with specific resources or URLs. When a user binds an ARK, ensure it points correctly to the specified resource or URL. 6. **Resolving ARKs**: Provide functionality for users to enter an ARK and retrieve its associated metadata and bound resource. Ensure error handling for invalid or non-existent ARKs. 7. **Security Measures**: Incorporate basic security measures such as input validation and protection against common web vulnerabilities. 8. **Testing**: Thoroughly test all functionalities of your application, ensuring that minting, binding, and resolving work seamlessly and accurately. 9. **Documentation**: Write clear documentation detailing how to use your application, including setup instructions and API usage if applicable. 10. **Deployment**: Deploy your application to a cloud service provider like Heroku or AWS so it can be accessed online. This project will not only help users manage their ARKs efficiently but also serve as a practical example of integrating Python packages into web applications.
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