🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate suspicion due to potential obfuscation and minimal maintainer activity, although no direct malicious activities have been confirmed.

Potential obfuscation through base64 decoding
Minimal maintainer history and low repository engagement

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external API interactions.
Shell: No shell execution detected, which is expected as typical packages do not execute system commands.
Obfuscation: The presence of base64 decoding suggests potential obfuscation, but it could also be used for legitimate purposes like data storage or transmission.
Credentials: No clear signs of credential harvesting detected.
Metadata: The package has minimal maintainer history and low engagement in the git repository, raising some suspicion.

📦 Package Quality Overall: Medium (5.8/10)

✦ High Test Suite 9.0

Test suite present — 9 test file(s) found

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

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://github.com/FusionbaseHQ/agents-ui-python-sdk#readme
Detailed PyPI description (11655 chars)

○ Low Contributing Guide 4.0

No contributing guide or governance files found

Development Status classifier >= Beta

◈ Medium Type Annotations 7.0

Partial type annotation coverage

Classifier: Typing :: Typed
Type checker (mypy / pyright / pytype) referenced in project
322 type-annotated function signatures detected in source

○ Low Multiple Contributors 2.0

Single-author or unverifiable project

1 unique contributor(s) across 5 commits in FusionbaseHQ/agents-ui-python-sdk
Single author with few commits — possibly a personal or throwaway project

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

mage bytes.""" return base64.b64decode(self.data) def save(self, path: str | Path) -> Path:

✓ 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 score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ 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 agents-ui-sdk

Create a Python-based mini-application that integrates with the 'agents-ui-sdk' to manage and interact with terminal workspaces efficiently. Your application will serve as a bridge between the user interface and the terminal environment, allowing for seamless management of tasks and resources. Here’s a detailed guide on how to build this application:

1. **Project Setup**: Start by installing the 'agents-ui-sdk' package using pip. Ensure your development environment is set up with Python 3.x.

2. **Application Design**: Design your application to have a simple command-line interface (CLI) for users to interact with their terminal workspaces. The application should support basic operations such as listing all available workspaces, creating new ones, and deleting existing ones.

3. **Core Features**:
- **Workspace Management**: Allow users to create, delete, and list terminal workspaces.
- **Resource Allocation**: Enable users to allocate specific resources (e.g., CPU, memory) to different workspaces based on their needs.
- **Task Execution**: Provide functionality for executing tasks within a selected workspace, such as running scripts or commands.
- **Status Monitoring**: Implement real-time monitoring of workspace status, including CPU usage, memory usage, and network activity.

4. **Integration with 'agents-ui-sdk'**: Utilize the 'agents-ui-sdk' to handle the communication between the CLI and the terminal workspaces. This includes initializing the connection to the workspaces, sending commands, and receiving responses. Make sure to leverage the SDK’s capabilities to enhance the performance and reliability of your application.

5. **User Interface**: Although the application is CLI-based, consider adding a minimalistic text-based UI to display workspace information and task statuses more clearly. Use ANSI escape codes for color-coding outputs to improve readability.

6. **Testing and Validation**: Develop a suite of tests to validate the functionality of each feature. Focus on testing the integration points with 'agents-ui-sdk' to ensure robustness and reliability.

7. **Documentation**: Write comprehensive documentation for both end-users and developers. Include setup instructions, a quick start guide, and detailed API documentation for the 'agents-ui-sdk' integration.

By following these steps, you'll develop a powerful yet easy-to-use tool that leverages the 'agents-ui-sdk' to streamline terminal workspace management.