AI Analysis
Final verdict: SAFE
The package exhibits low risks across all categories except metadata, where it has some minor red flags. Given the lack of evidence of malicious activity and the absence of critical vulnerabilities, the package can be considered safe.
- Low network and shell risk
- No signs of obfuscation or credential harvesting
- Minor metadata concerns due to newness and limited maintainer history
Per-check LLM notes
- Network: No network calls detected, which is normal if the tool does not require external communication.
- Shell: No shell execution patterns detected, indicating the tool does not execute system commands without user interaction.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting the package does not pose a risk for stealing secrets or credentials.
- Metadata: The package shows some red flags such as being brand new, having an author with a missing or short name, and the maintainer having only one package. However, there are no clear indications of typosquatting or other malicious activities.
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: microsoft.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository microsoft/agent-governance-toolkit appears legitimate
Maintainer History
score 6.0
3 maintainer concern(s) found
Only one version has ever been released β brand new packageAuthor 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 agent-governance-toolkit-cli
Create a mini-application called 'AgentGuard' using the 'agent-governance-toolkit-cli' Python package. This application will serve as a command-line interface for managing and monitoring agents within a software system, providing essential SRE observability and sandbox isolation capabilities. Hereβs a detailed breakdown of the project requirements and features: 1. **Project Setup**: Start by setting up a virtual environment and installing the 'agent-governance-toolkit-cli' package. 2. **Agent Management**: - Allow users to register new agents, specifying their unique identifiers and roles. - Provide functionality to update and delete existing agents. 3. **Observability**: - Implement a feature that allows users to view the current status of all registered agents, including their operational health and performance metrics. 4. **Sandbox Isolation**: - Enable users to isolate specific agents into sandbox environments for testing purposes without affecting production systems. 5. **Command Line Interface**: - Design a user-friendly CLI that supports subcommands such as 'register', 'update', 'delete', 'status', and 'sandbox'. 6. **Documentation**: - Write comprehensive documentation detailing how to install the application, use its commands, and troubleshoot common issues. 7. **Testing**: - Develop unit tests and integration tests to ensure the application functions correctly under various scenarios. Utilize the 'agent-governance-toolkit-cli' package to leverage its built-in functionalities for agent management, observability, and sandboxing. Your goal is to create a robust, scalable, and user-friendly tool that simplifies the governance and monitoring of software agents.