AI Analysis
Final verdict: SAFE
The package shows minimal risk indicators such as no network calls, shell executions, or obfuscation techniques. However, the low activity in the repository and lack of maintainer details slightly increase the metadata risk.
- No network calls or shell executions detected.
- Low repository activity and limited maintainer information.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access to function properly.
- Shell: No shell execution patterns detected, indicating the package does not execute external commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The repository's low activity and the maintainer's lack of details raise some concerns, but there is no clear evidence of malicious intent.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
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: achek.com.ng>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 achek
Create a WhatsApp-based customer service chatbot using the 'achek' Python package for a Nigerian business. This chatbot will serve as a 24/7 support system, capable of handling common customer inquiries, sending automated responses, and initiating two-factor authentication via WhatsApp OTP. The application should have the following functionalities: 1. **User Authentication**: Implement a simple registration process where users can sign up using their phone number. The system should send a verification code via WhatsApp for the user to confirm their identity. 2. **Customer Support Interface**: Develop a conversational interface that allows users to ask questions about products or services, request information, and report issues. The chatbot should be able to provide relevant answers based on predefined rules or integrate with a knowledge base if available. 3. **Ticket Management System**: Integrate a basic ticket management feature where unresolved queries can be escalated into tickets for human agents to follow up on. Each ticket should include the user's contact details, query history, and status updates. 4. **Feedback Collection**: After each interaction, prompt users to rate their experience and leave feedback, which can be used to improve the chatbot’s performance and customer satisfaction. 5. **Analytics Dashboard**: Create a dashboard that displays key metrics such as response times, customer satisfaction ratings, and common issues faced by customers. This data will help in monitoring the efficiency of the chatbot and making informed decisions. The 'achek' package is essential for implementing the WhatsApp integration, managing the OTP verification process, and facilitating real-time communication between the chatbot and users. Ensure that the application adheres to privacy regulations and respects user consent at all times.