ag-os

v1.2.0 safe
3.0
Low Risk

The governance kernel for AI agents. Cost enforcement, policy-as-code, self-healing CI.

🤖 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.

💬 Discussion Feed

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