atendeaqui

v1.0.1 safe
3.0
Low Risk

SDK Python para a plataforma AtendeAqui

🤖 AI Analysis

Final verdict: SAFE

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)

✦ High Test Suite 9.0

Test suite present — 5 test file(s) found

  • Test runner config found: conftest.py
  • 5 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (16213 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 46 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • OUT): self._session = requests.Session() self._base_url = base_url.rstrip('/') self
Code Obfuscation

No obfuscation patterns detected

Shell / Subprocess Execution

No shell execution patterns detected

Credential Harvesting

No credential harvesting patterns detected

Typosquatting

No typosquatting candidates detected

Registered Email Domain

Email domain looks legitimate: mupisystems.com.br>

Suspicious Page Links

All external links appear legitimate

Git Repository History

No GitHub repository linked

  • No GitHub repository link found
Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with atendeaqui
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.

💬 Discussion Feed

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