AI Analysis
The package shows moderate risks due to potential shell command injection and obfuscated code, though there's no concrete evidence of malicious intent.
- High obfuscation risk
- Potential shell risk
Per-check LLM notes
- Network: The network call is likely for fetching package metadata from PyPI, which is normal.
- Shell: Shell execution may be used for git operations within the package but could pose a risk if commands are dynamically generated or involve user input without sanitization.
- Obfuscation: The code uses unconventional variable names and import patterns which may indicate an attempt to obscure the functionality.
- Credentials: No clear signs of credential harvesting were found in the provided snippet.
- Metadata: The maintainer has only one package, which could indicate a new or less active user, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Medium (5.8/10)
Test suite present — 9 test file(s) found
Test runner config found: pyproject.toml9 test file(s) detected (e.g. test_cli.py)
Some documentation present
Detailed PyPI description (5759 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
332 type-annotated function signatures detected in source
Active multi-contributor project
3 unique contributor(s) across 57 commits in HUAFIRE777/autorunneSmall but multi-author team (3–4 contributors)
Heuristic Checks
Found 1 network call pattern(s)
float = 2.0) -> str: with urllib.request.urlopen(PYPI_JSON_URL, timeout=timeout) as response:
Found 1 obfuscation pattern(s)
ing="utf-8") subprocess = __import__("subprocess") subprocess.run(["git", "add", "src/index.js"], cwd=node
Found 6 shell execution pattern(s)
"autorunne"] completed = subprocess.run(command, text=True, capture_output=True, check=False) ifreturn None result = subprocess.run(command, cwd=repo_root, shell=True, capture_output=True, textedProcess[str]: result = subprocess.run( ["git", *args], cwd=repo_root, text-> Path | None: result = subprocess.run( ["git", "rev-parse", "--show-toplevel"], cw, exist_ok=True) result = subprocess.run( ["git", "init"], cwd=repo_root, texstr], cwd: Path) -> None: subprocess.run(command, cwd=cwd, check=True, text=True) def _git_commit_s
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository HUAFIRE777/autorunne appears legitimate
1 maintainer concern(s) found
Author "Hermes Agent" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a personal task management application using the 'autorunne' Python package. This app will allow users to manage their daily tasks efficiently by adding, deleting, updating, and viewing tasks. Additionally, it should include features like setting priorities, due dates, and categories for each task. Utilize 'autorunne' to turn your repository into a full-fledged development workspace, enabling you to quickly iterate on your application's functionality. Steps to Build the Application: 1. Initialize a new 'autorunne' project in your preferred code editor or IDE by following the official documentation. 2. Design the database schema to store task information such as title, description, priority level, due date, and category. 3. Implement CRUD operations (Create, Read, Update, Delete) for managing tasks through command-line interfaces or simple web forms. 4. Add functionality to sort and filter tasks based on priority levels, due dates, and categories. 5. Integrate a user authentication system to ensure only authorized users can manage their own tasks. 6. Use 'autorunne' to automatically run tests and update dependencies as you develop, ensuring a smooth and efficient workflow. 7. Deploy your application locally or to a cloud service provider of your choice for easy access from anywhere. Features: - Ability to add new tasks with various attributes including title, description, priority, due date, and category. - Option to delete tasks once completed or no longer needed. - Functionality to update existing task details as needed. - Interface to view all tasks sorted by different criteria. - User authentication to protect individual task lists. - Integration with 'autorunne' for seamless development experience. How 'autorunne' is Used: - Turn your repository into an 'autorunne' project to leverage its local-first workspace capabilities. - Automatically run tests and update dependencies with 'autorunne' commands to streamline the development process. - Utilize 'autorunne' features to enhance collaboration and productivity within your development environment.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue