avp-agentmesh

v3.7.0 suspicious
4.0
Medium Risk

Agent Veil Protocol integration for AgentMesh trust engine

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential low effort in maintenance and has moderate network interaction, raising concerns about its reliability and security posture.

  • moderate network risk due to HTTP client usage
  • concerns over maintainer's activity and metadata quality
Per-check LLM notes
  • Network: The use of an HTTP client suggests the package may interact with external services, which is common but should be reviewed to ensure it aligns with its intended functionality.
  • Shell: No shell execution patterns were detected, indicating low risk in this area.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of code hiding or evasion techniques.
  • Credentials: No credential harvesting patterns detected, suggesting the package does not engage in unauthorized data collection.
  • Metadata: Low risk, but concerns about the maintainer's history and package metadata quality suggest potential low effort or inactivity.

📦 Package Quality Overall: Low (4.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_provider.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (2540 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 8 type-annotated function signatures (partial)
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in creatorrmode-lead/avp-sdk
  • Two distinct contributors found

🔬 Heuristic Checks

Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • eshold self._client = httpx.AsyncClient(timeout=timeout) def _resolve_did(self, agent_id: str)
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 creatorrmode-lead/avp-sdk appears legitimate

Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with avp-agentmesh
Create a mini-application that leverages the 'avp-agentmesh' Python package to facilitate secure and trusted interactions between different agents within a decentralized network. This application will serve as a proof-of-concept for integrating the Agent Veil Protocol into real-world scenarios, focusing on enhancing security and privacy while maintaining interoperability.

Step 1: Define the Application Scope
- Identify the key roles of agents in your network (e.g., service providers, consumers, regulators).
- Outline the types of interactions these agents will have (e.g., data sharing, service requests).

Step 2: Set Up the Development Environment
- Install necessary packages including 'avp-agentmesh'.
- Configure the environment to support development and testing.

Step 3: Implement Core Functionality
- Use 'avp-agentmesh' to establish trust relationships between agents based on the Agent Veil Protocol.
- Develop mechanisms for secure data exchange and verification.

Step 4: Enhance with Additional Features
- Integrate logging and monitoring tools to track agent interactions.
- Implement error handling and recovery procedures.
- Consider adding user interfaces for easier interaction with the system.

Suggested Features:
- Role-based access control to manage agent permissions.
- Automated trust scoring and reputation systems.
- Real-time notifications for critical events.
- Support for multiple communication protocols.

How to Utilize 'avp-agentmesh':
- For establishing initial trust between agents using cryptographic methods provided by the package.
- To verify the authenticity and integrity of messages exchanged between agents.
- For managing and updating trust relationships dynamically based on ongoing interactions.

This project aims to demonstrate the practical application of advanced trust management techniques in a decentralized setting, showcasing the potential of 'avp-agentmesh' in fostering more secure and reliable digital ecosystems.

💬 Discussion Feed

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