🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity, with low risks across all assessed categories. The maintainer's single package suggests it might be from a new or less active developer, but this alone does not indicate a supply-chain attack.

No network calls detected
No shell execution patterns
No obfuscation or credential harvesting

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communication.
Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer has only one package, indicating a potentially new or less active account, but no other red flags were raised.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (24346 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

○ 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

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: gdplabs.id

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Raymond Christopher" 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 aip-agents-binary

Create a Python-based mini-application named 'AgentManager' that leverages the 'aip-agents-binary' package to manage and control agents within a Gen AI environment. Your task is to develop a command-line interface (CLI) tool that allows users to perform various operations on these agents, such as starting, stopping, checking status, and viewing logs. Additionally, implement a feature to dynamically update agent configurations without needing to restart them.

Step-by-Step Instructions:
1. Begin by installing the 'aip-agents-binary' package and setting up your development environment.
2. Design and implement the CLI interface using Python's argparse module or similar.
3. Utilize the 'aip-agents-binary' package to integrate the necessary functionalities for starting, stopping, and monitoring the status of agents.
4. Add a logging mechanism to capture and display agent activity through the CLI.
5. Implement a configuration update feature that allows users to modify agent settings on-the-fly.
6. Ensure the application handles errors gracefully and provides informative messages to the user.
7. Write unit tests to validate the functionality of each command and feature.
8. Document your code and provide usage instructions for the CLI tool.

Suggested Features:
- Detailed help documentation for each command available via the CLI.
- Support for multiple agent instances running concurrently.
- Ability to save and load agent configurations from a file.
- Enhanced logging options allowing users to filter log entries based on severity levels.
- Integration with a simple web interface to monitor agent statuses visually (optional).

The goal is to create a robust, user-friendly tool that demonstrates the capabilities of the 'aip-agents-binary' package while providing practical value for managing Gen AI agents.