AI Analysis
The package appears legitimate and its primary function is to provide an SDK for the Assinafy API. There are no significant risks identified.
- Low network risk as expected for an API client
- No shell execution detected
- Single package from maintainer but no other red flags
Per-check LLM notes
- Network: The presence of network calls is not inherently suspicious but should be reviewed to ensure they align with the package's intended functionality.
- Shell: No shell execution patterns detected, which is normal and expected.
- Metadata: The maintainer has only one package, which may indicate a new or less active account, but no other red flags were identified.
Package Quality Overall: Medium (5.8/10)
Test suite present β 12 test file(s) found
Test runner config found: conftest.pyTest runner config found: pyproject.toml12 test file(s) detected (e.g. conftest.py)
Some documentation present
Documentation URL: "Documentation" -> https://api.assinafy.com.br/v1/docsDetailed PyPI description (10985 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Classifier: Typing :: TypedType checker (mypy / pyright / pytype) referenced in project166 type-annotated function signatures detected in source
Single-author or unverifiable project
1 unique contributor(s) across 9 commits in assinafy/python-sdkSingle author with few commits β possibly a personal or throwaway project
Heuristic Checks
Found 1 network call pattern(s)
token}" self._http = httpx.Client( base_url=(base_url or _DEFAULT_BASE_URL).rstrip
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository assinafy/python-sdk appears legitimate
1 maintainer concern(s) found
Author "Assinafy API Team" 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 digital document management system named 'Signature Hub' using Python and the 'assinafy' package. This system will allow users to upload documents, request signatures from multiple parties, track the signing process, and download signed documents. Hereβs a detailed breakdown of the steps and features: 1. **User Authentication**: Implement a simple login system where users can sign up and log in. Use Flask or Django for the backend framework. 2. **Document Upload**: Allow authenticated users to upload PDF files through the web interface. Ensure file integrity checks are performed before processing. 3. **Signature Request**: Once a document is uploaded, the user should be able to specify recipients who need to sign the document. Send out personalized email notifications to these recipients via SMTP. 4. **Track Signatures**: Provide a dashboard where users can see the status of their signature requests (Pending, In Progress, Completed). Use the 'assinafy' package to handle the digital signature workflow. 5. **Download Signed Documents**: After all required signatures are collected, users should be able to download the fully signed document. 6. **Admin Panel**: Include an admin panel for managing users and documents. Admins should be able to view all documents and their signing statuses. 7. **Notifications**: Implement real-time notifications for users when a new document is uploaded or a signature is completed. Consider using WebSockets for this feature. 8. **Security Measures**: Ensure that all data is securely stored and transmitted. Use HTTPS for secure communication and encrypt sensitive data at rest. Utilize the 'assinafy' package to integrate digital signatures into your application. Specifically, use its functions to initiate the signature process, manage signing requests, and verify signatures. This project aims to provide a comprehensive solution for managing digital signatures in a collaborative environment.
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