AI Analysis
Final verdict: SAFE
The package exhibits minimal risks across various categories, with only network calls showing a moderate risk due to potential misuse. Overall, it appears safe with no strong indicators of malicious activity.
- Moderate network risk due to HTTP requests with authorization headers.
- Lack of maintainer information and no associated GitHub repository.
Per-check LLM notes
- Network: The observed network call pattern suggests the package may be making HTTP requests with authorization headers, which could potentially be used for unauthorized access if misused.
- Shell: No shell execution patterns were detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
- Metadata: The package shows some red flags such as lack of maintainer information and no associated GitHub repository, but there are no clear signs of typosquatting or malicious intent.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
rip("/") self._http = httpx.Client( timeout=timeout, headers={"Authoriz
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: agentdraft.io>
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 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 agentdraft
Create a fully functional mini-application named 'EventScheduler' using the Python package 'agentdraft'. This application will serve as a robust event booking system for various venues, ensuring that no two events overlap in time and that higher-priority events take precedence. Here are the steps and features you should include: 1. **Setup and Installation**: Begin by setting up a virtual environment and installing 'agentdraft'. Ensure all necessary dependencies are included in your requirements file. 2. **Database Integration**: Integrate a database (e.g., SQLite or PostgreSQL) to store venue details, event information, and booking logs. Each venue should have unique attributes such as capacity and preferred booking times. 3. **User Interface**: Develop a simple command-line interface (CLI) or a basic web interface using Flask or Django for users to interact with the system. Users should be able to view available venues, book events, cancel bookings, and check their booking status. 4. **Booking System**: Utilize 'agentdraft' to manage the booking process. Implement logic to handle multiple simultaneous booking requests without conflicts. Ensure that events with higher priority (determined by user-defined criteria like importance or payment amount) get booked first. 5. **Audit Logs**: Maintain detailed logs of all booking activities using 'agentdraft's audit logging feature. Logs should include timestamps, user actions, and any changes made to bookings. 6. **Testing**: Write comprehensive tests to ensure the booking system works correctly under various conditions, including concurrent booking requests and edge cases like last-minute cancellations. 7. **Documentation**: Provide clear documentation on how to use the 'EventScheduler', including setup instructions, usage examples, and explanations of how 'agentdraft' enhances the booking process. 8. **Security Considerations**: Discuss and implement security measures to protect user data and prevent unauthorized access to booking information. By following these steps, you'll create a versatile and efficient event booking system that leverages the power of 'agentdraft' for seamless and secure scheduling.