analyze-project

v0.1.1 suspicious
5.0
Medium Risk

Static Python codebase walkthrough generator for onboarding developers.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate risks due to its ability to execute external commands and make network calls, which could potentially be exploited for unauthorized actions.

  • High shell risk due to subprocess usage
  • Moderate network risk due to external calls
Per-check LLM notes
  • Network: The use of external network calls may indicate the package is designed to fetch or send data, which could be legitimate but also risky if not properly disclosed.
  • Shell: Executing scripts through subprocess.run can pose a risk, especially if the arguments or paths are manipulated, suggesting potential for unauthorized code execution.
  • 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 possible new or less active status which could suggest lower trustworthiness.

📦 Package Quality Overall: Low (3.4/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_cli.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (5639 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ 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 score 4.5

Found 3 network call pattern(s)

  • with(('requests.', 'httpx.', 'urllib.request.')) or 'aiohttp' in lower: return SideEffectInfo(
  • response = requests.get(config["url"]) return response.json()
  • f main(): requests.get("https://example.test") return helper()
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • (*args, cwd=None): return subprocess.run( [sys.executable, str(SCRIPT_PATH), *args],
  • he package first') return subprocess.run( [str(script_path), *args], cwd=cwd or REPO_
✓ 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 2.0

1 maintainer concern(s) found

  • Author "aetsr" 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 analyze-project 
Your task is to create a Python-based onboarding tool called 'CodeWise' that leverages the 'analyze-project' package to facilitate the process of understanding a new codebase for developers. This tool will generate a static documentation-like walkthrough of the project, highlighting key components, modules, and functionalities, which will help new team members quickly grasp the structure and flow of the codebase.

The application should include the following features:
1. **Project Analysis**: Use 'analyze-project' to scan and analyze the Python codebase, extracting important information such as module names, class definitions, function signatures, and variable usage.
2. **Interactive Documentation Generation**: Based on the analysis, automatically generate interactive HTML documentation that includes hyperlinks between related components, allowing users to navigate through the codebase easily.
3. **Search Functionality**: Implement a search feature within the generated documentation to allow users to find specific classes, functions, or variables quickly.
4. **Customization Options**: Provide options for customizing the output format, such as including or excluding certain types of comments, adding custom styling, or filtering out irrelevant parts of the codebase.
5. **Integration with Version Control Systems**: Enable integration with popular version control systems like Git to ensure that the documentation reflects the latest changes in the codebase.
6. **User Interface**: Develop a simple and intuitive user interface using a web framework like Flask or Django to display the generated documentation.

Your goal is to design and implement a fully functional mini-app that streamlines the onboarding process for developers joining a new project. Utilize the 'analyze-project' package effectively to automate the generation of insightful and navigable documentation from the codebase.

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