AI Analysis
The package exhibits minimal risk indicators with no evidence of malicious behavior or supply-chain attacks. It appears legitimate for its intended use.
- Low network, shell, obfuscation, and credential risks.
- Moderate metadata risk due to some unclear signals but no clear malicious intent.
Per-check LLM notes
- Network: Establishing a session and setting a base URL suggests the package may make network calls to an external service, which is not inherently suspicious but should be reviewed for legitimacy.
- Shell: No shell execution patterns were detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows some red flags but no clear malicious intent based on the provided signals.
Package Quality Overall: Low (4.4/10)
Test suite present — 5 test file(s) found
Test runner config found: conftest.py5 test file(s) detected (e.g. conftest.py)
Some documentation present
Detailed PyPI description (16213 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
46 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
Found 1 network call pattern(s)
OUT): self._session = requests.Session() self._base_url = base_url.rstrip('/') self
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: mupisystems.com.br>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
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 Python-based customer service mini-app using the 'atendeaqui' SDK that integrates seamlessly with the AtendeAqui platform. This app should allow users to manage their support tickets efficiently, providing a user-friendly interface for both customers and support staff. ### Features: 1. **User Authentication:** Implement login and registration functionalities for customers and support agents. 2. **Ticket Management:** Allow users to create, view, update, and close support tickets. Each ticket should have fields like title, description, priority level, and status. 3. **Real-time Notifications:** Integrate real-time notifications for new messages or updates on tickets via email or SMS. 4. **Analytics Dashboard:** Provide a dashboard for managers to monitor ticket statistics, such as open vs closed tickets, average resolution time, and most common issues. 5. **Customizable Support Categories:** Enable administrators to define and manage different categories of support tickets (e.g., billing, technical issues). 6. **File Attachment Support:** Permit users to attach files to their tickets for better context. 7. **Integration with External Systems:** If applicable, integrate the app with external systems like CRM tools for seamless data flow. ### Utilization of 'atendeaqui' Package: - Use the 'atendeaqui' SDK to authenticate users and retrieve their ticket information. - Leverage the SDK's methods for creating, updating, and closing tickets. - Utilize the SDK's notification features to send alerts about ticket updates. - Employ the SDK's analytics API to fetch data for the dashboard. - Explore additional APIs provided by 'atendeaqui' to extend functionality as needed. Your task is to design and implement this mini-app from scratch, ensuring it adheres to best coding practices and is scalable for future enhancements.
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