🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential obfuscation and has a new maintainer with missing classifiers, indicating possible lack of maintenance or transparency.

High obfuscation risk
New maintainer with incomplete metadata

Per-check LLM notes

Network: The observed network call pattern suggests the package might be performing HTTP requests, which could be part of its intended functionality, but requires further investigation to ensure legitimacy.
Shell: No shell execution patterns were detected.
Obfuscation: The use of lambda functions and dynamic imports may indicate an attempt to obfuscate the code's true purpose.
Credentials: No suspicious patterns for credential harvesting were detected.
Metadata: Low risk due to lack of suspicious indicators, but new maintainer and missing classifiers suggest low activity or effort.

📦 Package Quality Overall: Low (3.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

Test runner config found: pyproject.toml

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (1943 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

184 type-annotated function signatures detected in source

○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

" try: async with httpx.AsyncClient(timeout=5.0) as client: resp = await client.get(

⚠ Code Obfuscation score 6.0

Found 3 obfuscation pattern(s)

"machine", lambda: __import__("anygarden_machine.cli", fromlist=["main"]).main, ) machine_main(args=ctx.args, prog_name="anyg
"agent", lambda: __import__("anygarden_agent.cli", fromlist=["agent_main"]).agent_main, ) agent_main(args=ctx.args, prog_name="
"agent", lambda: __import__("anygarden_agent.cli", fromlist=["client_main"]).client_main, ) client_main(args=ctx.args, prog_name

✓ 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

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "Changyong Um" 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 anygarden

Create a multi-agent chat platform called 'AnyGardenChat' using the Python package 'anygarden'. This platform should allow users to create multiple agents that can communicate with each other through a unified command-line interface (CLI). Each agent can represent a different user or entity within the chat environment. The application should support basic functionalities such as sending messages, receiving messages, and managing agent interactions.

Step 1: Set up the development environment by installing Python and the 'anygarden' package.
Step 2: Design the architecture of the AnyGardenChat application, ensuring it supports the creation, management, and communication between multiple agents.
Step 3: Implement the CLI interface where users can:
- Create new agents
- Delete existing agents
- Send messages to specific agents or groups of agents
- View a history of messages from all agents
Step 4: Utilize the 'anygarden' package to handle the server-side operations, including starting/stopping the server, managing agent connections, and facilitating message exchanges between agents.
Step 5: Add additional features such as:
- Agent status updates (online/offline)
- Message notifications (pop-up alerts or email)
- Support for file transfers between agents
- A help command that explains how to use the CLI commands
Step 6: Test the application thoroughly to ensure all functionalities work as expected and the 'anygarden' package integrates seamlessly with the CLI interface.
Step 7: Document the setup process, usage instructions, and any troubleshooting tips for the AnyGardenChat application.