🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits high shell execution risk and moderate network and metadata risks, which collectively suggest potential for misuse or malicious intent.

High shell risk due to arbitrary code execution
Moderate network risk requiring further investigation

Per-check LLM notes

Network: Network calls are typical for packages that require external communications, but the variety and purpose need further investigation.
Shell: Execution of arbitrary code via subprocess.run is highly suspicious and could indicate potential for malicious activity.
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.

📦 Package Quality Overall: Medium (5.6/10)

✦ High Test Suite 9.0

Test suite present — 14 test file(s) found

Test runner config found: pyproject.toml
14 test file(s) detected (e.g. test_auth.py)

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://github.com/arshadvani3/AgentMesh#readme
Detailed PyPI description (20459 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

172 type-annotated function signatures detected in source

◈ Medium Multiple Contributors 5.0

Limited contributor diversity

1 unique contributor(s) across 32 commits in arshadvani3/AgentMesh
Single author but highly active (32 commits)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

try: async with httpx.AsyncClient(timeout=15, follow_redirects=False) as client:
_fetch(): async with httpx.AsyncClient() as client: try: resp = await c
.agent_id async with httpx.AsyncClient(timeout=10.0) as client: resp = await client.pos
_clients() async with httpx.AsyncClient(timeout=10.0) as client: await client.delete(
) async with httpx.AsyncClient(timeout=10.0) as client: resp = await client.pos
try: async with httpx.AsyncClient(timeout=5.0) as client: await client.post(

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

} try: result = subprocess.run( [sys.executable, "-c", code], captu
cmd.append("--reload") subprocess.run(cmd) # ---------------------------------------------------

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository arshadvani3/AgentMesh appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
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-proto

Create a decentralized messaging application using the 'agentmesh-proto' package. This application will allow users to communicate with each other in a peer-to-peer network without the need for centralized servers. Here’s a step-by-step guide on how to build it:

1. **Setup**: Begin by setting up your development environment with Python and installing the 'agentmesh-proto' package.
2. **Peer Discovery**: Implement a feature where peers can discover each other within the network. Use 'agentmesh-proto' to facilitate this process, ensuring that peers can connect and exchange messages.
3. **Message Sending & Receiving**: Develop the functionality for sending and receiving messages between connected peers. Ensure that messages are encrypted for security purposes.
4. **User Interface**: Design a simple user interface that allows users to add contacts, send messages, and view their chat history.
5. **Optional Features**: Consider adding advanced features such as file sharing, group chats, and end-to-end encryption.
6. **Testing**: Thoroughly test the application to ensure reliable peer discovery, secure message transmission, and a smooth user experience.
7. **Deployment**: Once testing is complete, deploy the application so that others can use it and provide feedback.

Use 'agentmesh-proto' to manage the underlying peer-to-peer network infrastructure, focusing on its capabilities for agent discovery and communication. This project aims to demonstrate the practical application of decentralized networking technologies in everyday tools.