🤖 AI Analysis

Final verdict: SAFE

The package has minimal risk with no detected network or shell activities, suggesting it operates within expected boundaries for its functionality.

No network calls detected
No shell execution patterns detected

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access to function properly.
Shell: No shell execution patterns detected, indicating no direct command execution from the package.

🔬 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" 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 agenticstackfile

Create a Python-based mini-application named 'ProjectNavigator' that leverages the 'agenticstackfile' package to provide a comprehensive understanding of a given Python project's structure and dependencies. This tool will serve as an interactive map for developers, allowing them to navigate through a project's files and directories effortlessly.

### Features:
1. **Codebase Mapping**: Utilize 'agenticstackfile' to generate a detailed map of the project's directory structure, including all Python files, libraries, and dependencies. This map should highlight key components like main modules, classes, functions, and imports.
2. **Dependency Analysis**: Analyze and display the project's dependencies, showing which packages are installed and their versions. Additionally, identify and flag any deprecated or outdated dependencies.
3. **Search Functionality**: Implement a search feature that allows users to look up specific classes, functions, or variables within the project. The search should return relevant file paths and line numbers.
4. **Interactive Navigation**: Provide an interface for navigating through the project's files and directories. Users should be able to click on a module or class in the map and be taken directly to its definition in the source code.
5. **Code Snippets and Documentation**: For each identified function or class, include a brief description or documentation if available. If not, suggest generating simple docstrings based on usage patterns.
6. **Version Control Integration**: Integrate with version control systems (like Git) to show commit history and diffs for selected files.

### How to Use 'agenticstackfile':
- Initialize the project navigator by pointing it to a target Python project directory.
- Use 'agenticstackfile' to parse the project and generate a structured representation of the codebase.
- Display the parsed information in a user-friendly manner, using the generated map to guide navigation and exploration.
- Continuously update the map as the user interacts with the application, ensuring real-time relevance and accuracy.

### Development Steps:
1. Install necessary packages, including 'agenticstackfile'.
2. Design and implement the core functionality for parsing and displaying the project map.
3. Add dependency analysis and search capabilities.
4. Develop an interactive UI for navigation.
5. Test the application thoroughly with various Python projects to ensure robustness and usability.
6. Document the application and prepare a README for easy setup and usage.