🤖 AI Analysis

Final verdict: SUSPICIOUS

The package Liu-Agent exhibits a moderate level of suspicion due to its use of shell execution and obfuscation techniques, although no direct evidence of malicious activity was found.

Shell execution capability
Significant obfuscation practices

Per-check LLM notes

Network: No network calls detected, which is normal and does not indicate immediate risk.
Shell: Shell execution can be legitimate but requires scrutiny as it may execute arbitrary commands, posing a potential risk.
Obfuscation: The obfuscation pattern suggests an attempt to hide the source of the version number and possibly other code logic, which is suspicious but not conclusive without further analysis.
Credentials: No clear patterns indicating credential harvesting were detected.
Metadata: The repository is not found, and the maintainer has only one package, which could indicate a less established or potentially suspicious account.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

version=f"%(prog)s {__import__('liu_agent').__version__}") args = parser.parse_args() model_n
ucture(tmpdir) data = __import__("json").loads(result) assert "languages" in data sh

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

# 在工作区目录执行 proc = subprocess.run( command, shell=True,
try: proc = subprocess.run( command, shell=True,
command, shell=True, capture_output=True, text=

✓ 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 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "LiuCodeAgent Team" 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 Liu-Agent

Create a fully-functional mini-app named 'CodeCraft' using the Python package 'Liu-Agent'. CodeCraft aims to assist developers in generating high-quality code snippets based on their specific requirements. Here’s a detailed guide on how to build this app:

1. **Project Setup**: Initialize your project environment by setting up a virtual environment and installing necessary packages including 'Liu-Agent'. Ensure you have a clean setup that allows for easy integration of external libraries.

2. **Application Design**: Design your application to accept user inputs such as the type of code snippet required (e.g., Python function, class definition), the purpose of the code (e.g., data processing, web scraping), and any specific parameters (e.g., file paths, variable names).

3. **Core Functionality**: Utilize the 'Liu-Agent' package to generate code snippets according to the user's specifications. 'Liu-Agent', being based on the Harness architecture, offers autonomous code generation capabilities which can be leveraged to enhance the quality and efficiency of the generated code.

4. **Enhanced Features**:
   - **Interactive Mode**: Allow users to interactively modify the generated code snippets before finalizing them.
   - **Code Quality Checks**: Integrate automated checks to ensure the generated code adheres to best coding practices and standards.
   - **Customizable Templates**: Provide users with the ability to create and use their own templates for code generation.

5. **User Interface**: Develop a simple yet intuitive UI where users can input their requirements and view the generated code snippets. Consider using frameworks like Flask or Django for backend development and React or Vue.js for frontend.

6. **Testing & Validation**: Rigorously test the application to ensure it functions correctly under various scenarios. Validate the generated code snippets against predefined criteria to ensure they meet the specified requirements.

7. **Deployment**: Once testing is complete, deploy the application to a server or cloud platform so it can be accessed by other developers.

8. **Documentation & Support**: Provide comprehensive documentation detailing how to use the application effectively and offer support channels for users who encounter issues.

By following these steps, you will create a valuable tool that streamlines the process of writing code, making it more efficient and less error-prone.