agentmesh_langchain

v3.6.0 safe
4.0
Medium Risk

AgentMesh trust layer integration for LangChain - cryptographic identity and trust-gated tool execution

🤖 AI Analysis

Final verdict: SAFE

The package appears to be designed for cryptographic identity verification and trust management within the LangChain framework, with no indications of malicious activity. While there are some minor concerns regarding metadata completeness and key obfuscation, these do not significantly elevate the risk.

  • No network or shell risks detected
  • Incomplete author metadata
  • Base64 decoding used for key handling
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution detected, reducing the risk of unauthorized system command execution.
  • Obfuscation: The use of base64 decoding for keys suggests some form of obfuscation, but it is common practice in handling cryptographic keys.
  • Credentials: No clear patterns indicating credential harvesting were found.
  • Metadata: The author's information is incomplete, which raises some concern but does not strongly indicate malicious intent.

📦 Package Quality Overall: Medium (7.0/10)

✦ High Test Suite 9.0

Test suite present — 2 test file(s) found

  • Test runner config found: pyproject.toml
  • 2 test file(s) detected (e.g. __init__.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/microsoft/agent-governance-toolkit/tree/m
  • Detailed PyPI description (2721 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 57 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 14 unique contributor(s) across 100 commits in microsoft/agent-governance-toolkit
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 6.0

Found 3 obfuscation pattern(s)

  • private_key_bytes = base64.b64decode(self.private_key) private_key_obj = ed25519.Ed25
  • public_key_bytes = base64.b64decode(self.public_key) public_key_obj = ed25519.Ed
  • signature_bytes = base64.b64decode(signature.signature) public_key_obj.verify(s
✓ 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 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 agentmesh_langchain 
Create a secure document sharing platform using the 'agentmesh_langchain' Python package. This platform will allow users to share documents with each other while ensuring that only authorized individuals can access the shared content. Here's a detailed breakdown of the steps and features to implement:

1. **Setup User Authentication**: Implement a user registration and login system where users can create their cryptographic identities using the 'agentmesh_langchain'. This will ensure that each user has a unique and secure way of being identified within the system.

2. **Document Upload**: Users should be able to upload documents onto the platform. Each document must be encrypted before storage to protect its contents from unauthorized access.

3. **Access Control**: Utilize 'agentmesh_langchain' to manage who can access which documents based on pre-defined permissions. For example, a user might only be allowed to view certain documents but not edit them.

4. **Secure Communication**: Integrate 'agentmesh_langchain' to enable secure communication between users when they exchange information about document access rights or other relevant details.

5. **Audit Trail**: Maintain a log of all actions performed on the documents such as who accessed them, when they were accessed, and what changes were made if any. This audit trail should also be secured using 'agentmesh_langchain' to prevent tampering.

6. **User Interface**: Develop a simple yet intuitive web interface where users can perform all these actions easily. The UI should reflect the security measures taken behind the scenes, making it clear to users that their data is protected.

7. **Testing and Deployment**: Thoroughly test the application for both functionality and security. Once satisfied, deploy the application to a cloud environment where it can be accessed publicly.

This project aims to demonstrate the practical use of cryptographic identity and trust-gated tool execution provided by 'agentmesh_langchain', showcasing how these technologies can enhance the security of online services.