AI Analysis
Final verdict: SUSPICIOUS
The package shows no direct signs of malicious activity such as network calls or shell executions, but the metadata risk due to lack of maintainer details raises some concerns about potential supply-chain risks.
- Low network and shell execution risks
- Metadata risk due to new package and incomplete maintainer information
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external communications for its functionality.
- Shell: No shell execution detected, reducing risk of immediate system compromise.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package is new and lacks detailed maintainer information, raising some suspicion but not conclusive evidence of malice.
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 — 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-protocols
Create a mini-application named 'TrustVerifier' that leverages the 'agent-governance-toolkit-protocols' Python package to manage and verify trust relationships between digital agents in a decentralized network. This application will simulate a simplified version of a trust protocol where agents can request, issue, and revoke trust certifications based on specific criteria. Step 1: Setup - Install the 'agent-governance-toolkit-protocols' package and any other necessary dependencies. - Set up a basic Flask web framework for the backend. Step 2: Define Agents - Create a class to represent digital agents within the application. Each agent should have unique identifiers and attributes like name, role, and trust level. Step 3: Implement Trust Protocol - Use the 'agent-governance-toolkit-protocols' package to implement functions for requesting trust, issuing trust certifications, and revoking trust based on predefined rules. - Ensure these functions interact with a simple database to store and retrieve trust information. Step 4: User Interface - Develop a user-friendly interface using HTML/CSS/JavaScript that allows users to: - View a list of all registered agents. - Request trust from another agent. - Issue trust to another agent. - Revoke trust from another agent. - View their current trust level and received certifications. Step 5: Security Measures - Incorporate basic security measures such as hashing passwords and using HTTPS for secure communication. Suggested Features: - Notifications for trust-related actions (e.g., when a trust request is received). - A history log of trust actions for each agent. - Ability to set custom criteria for granting trust. - Integration with a blockchain for immutable trust records. The 'agent-governance-toolkit-protocols' package is utilized throughout the application for handling the core logic of trust management, ensuring that the implementation adheres to established protocols and best practices for agent governance.