AI Analysis
Final verdict: SAFE
The package shows no signs of malicious activity based on the analysis checks. However, the maintainer's single package history suggests this could be a new or less active account, requiring closer monitoring.
- No network calls detected
- Maintainer has only one package
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
- Metadata: The maintainer has only one package, suggesting a new or less active account which may warrant further investigation.
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
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository Manzela/Antigravity-OS appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Daniel Manzela" 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 ag-os
Create a small project called 'AI Governance Dashboard' using the Python package 'ag-os'. This dashboard will serve as a monitoring tool for AI agents, allowing users to track cost, enforce policies, and monitor self-healing capabilities of Continuous Integration (CI) processes. The application should include the following features: 1. **Cost Monitoring**: Display real-time cost metrics for various AI agents running on different cloud platforms. 2. **Policy Management**: Allow users to define, edit, and apply policies to AI agents, ensuring compliance with organizational standards. 3. **Self-Healing CI**: Monitor the CI processes for AI agents and automatically trigger recovery actions when issues are detected. 4. **User Interface**: Develop a simple web interface where users can interact with the dashboard. 5. **Integration with Cloud Providers**: Integrate the dashboard with major cloud providers (AWS, GCP, Azure) to gather cost data and manage AI agents effectively. 6. **Alert System**: Implement an alert system that notifies users via email or SMS when certain thresholds are exceeded. Utilize the 'ag-os' package to handle the governance aspects of the AI agents, such as enforcing cost limits, applying and managing policies, and overseeing the CI self-healing process. Your task is to outline the steps needed to set up the project environment, install the necessary packages, including 'ag-os', and write the code for each feature mentioned above. Additionally, provide instructions on how to run and test the application.