autoconf

v2026.5.29.4 suspicious
4.0
Medium Risk

PyAuto Configration

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has moderate shell risk due to potential dependency installation or repository cloning, and incomplete maintainer information raises concerns about the maintainer's legitimacy.

  • moderate shell risk
  • incomplete maintainer information
Per-check LLM notes
  • Network: No network calls detected, which is not unusual but may be worth investigating if the package's functionality requires internet access.
  • Shell: Shell execution patterns indicate the package might install additional dependencies or clone repositories, which could be legitimate but should be reviewed to ensure it aligns with the package's intended use.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret or credential theft.
  • Metadata: The maintainer's author information is incomplete, and it seems they may be new or inactive, raising some concerns.

📦 Package Quality Overall: Medium (5.0/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

  • Test runner config found: pyproject.toml
  • 1 test file(s) detected (e.g. test_mode.py)
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 33 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in PyAutoLabs/PyAutoConf
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • p Colab Environment:") subprocess.check_call( [sys.executable, "-m", "pip", "install", *packages
  • kspace --- try: subprocess.run(["git", "clone", workspace_repo, workspace_dir], check=True)
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: rghsoftware.co.uk>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository PyAutoLabs/PyAutoConf appears legitimate

⚠ 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 autoconf 
Your task is to create a fully-functional mini-application called 'ConfigMaster' using the Python package 'PyAuto Configuration'. This application will serve as a robust configuration management tool for various software applications, allowing users to easily manage, update, and store configuration settings in a secure and efficient manner. Here’s a detailed breakdown of what the application should achieve and how it leverages the 'PyAuto Configuration' package:

1. **User Interface**: Develop a simple yet intuitive command-line interface (CLI) where users can interact with the application.
2. **Configuration Management**: Utilize the 'PyAuto Configuration' package to handle all aspects of configuration management. This includes reading, writing, updating, and deleting configuration files. Ensure that these operations are secure and reliable.
3. **Secure Storage**: Implement a feature within your application that allows users to encrypt their configuration files using AES encryption before storing them. This ensures that sensitive information remains protected.
4. **Version Control**: Integrate version control into your application so that users can track changes made to their configurations over time. Users should be able to revert to previous versions if necessary.
5. **Backup and Restore**: Provide functionality for backing up and restoring configuration files. This is crucial for disaster recovery scenarios.
6. **Integration with External Services**: Allow the application to read and write configurations from/to external services such as AWS S3 buckets or Google Cloud Storage. This feature should be optional and configurable by the user.
7. **Logging and Notifications**: Implement logging to keep a record of all actions performed through the application. Additionally, set up notifications for critical events like failed operations or successful backups.
8. **Help and Documentation**: Include a help section within the CLI that provides usage instructions and examples. Also, document the entire process and API for others who might want to extend or integrate with your application.

The 'PyAuto Configuration' package will be the backbone of your application, handling all configuration-related tasks efficiently. Your challenge is to design a seamless user experience while ensuring that the application is scalable and maintainable.

💬 Discussion Feed

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