AI Analysis
Final verdict: SAFE
The package appears to serve its intended purpose without signs of malicious intent. However, there is some concern regarding the maintainer's metadata.
- Network risk due to external data transmission
- Suspicious maintainer metadata
Per-check LLM notes
- Network: Network calls suggest potential external data transmission, which could be legitimate depending on the package's purpose, but may indicate data exfiltration if unauthorized.
- Shell: No shell execution patterns detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret theft.
- Metadata: The maintainer has a new or inactive account and lacks a GitHub repository, raising some suspicion but not conclusive evidence of malice.
Heuristic Checks
Outbound Network Calls
score 9.0
Found 6 network call pattern(s)
encode("utf-8") req = urllib.request.Request(url, data=data, headers=headers, method="POST"), method="POST") with urllib.request.urlopen(req, timeout=30) as resp: is_success = rta).encode('utf-8') req = urllib.request.Request(url, data=body, headers=headers, method="POST")") try: with urllib.request.urlopen(req, timeout=timeout) as response: returencode('utf-8') req = urllib.request.Request(url, data=body, headers=headers, method=method)try: with urllib.request.urlopen(req, timeout=self.timeout) as response:
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: agentbill.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 agentbill-py-crewai
Create a real-time crew tracking dashboard using the 'agentbill-py-crewai' package. This application will serve as a tool for managers to monitor their team's location and status updates in real-time, enhancing communication and operational efficiency. Step 1: Set up the environment - Install Python and necessary libraries including 'agentbill-py-crewai'. - Ensure you have an API key from AgentBill for authentication. Step 2: Design the application structure - Create a main module that initializes the 'agentbill-py-crewai' client. - Develop a UI framework using a library like Tkinter or Streamlit for simplicity. Step 3: Implement core functionalities - Integrate the 'agentbill-py-crewai' package to fetch crew data. - Display each crew member's name, current location, and last update timestamp on the dashboard. - Add functionality to send emergency alerts to all crew members via the dashboard. Step 4: Enhance user experience - Allow users to filter crew members based on their status (e.g., active, idle). - Implement a map view to visually represent the locations of all crew members. - Include a feature to log out and switch between different user accounts. Step 5: Testing and deployment - Test the application thoroughly to ensure all features work as expected. - Deploy the application either locally or on a cloud service provider like AWS or Heroku. How 'agentbill-py-crewai' is utilized: - Use the package to authenticate and retrieve crew data from AgentBill's servers. - Leverage the package's zero-config setup to streamline the integration process and focus more on application development rather than configuration. - Utilize any additional features provided by the package to enrich the application's functionality.