🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score primarily due to its high obfuscation risk and incomplete metadata. While there are no direct indications of malicious activities, the use of potentially risky functions like eval() raises concerns.

High obfuscation risk due to eval() usage
Incomplete metadata and author information

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires network functionality.
Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
Obfuscation: The presence of eval() and encoded trigger configurations suggests potential for code injection and obfuscation techniques often used in malicious scripts.
Credentials: No clear patterns of credential harvesting are detected, but caution is advised given the high obfuscation risk.
Metadata: Low risk but suspicious due to incomplete author information and low metadata quality.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

4 test file(s) detected (e.g. test_configuration.py)

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://silab-bonn.github.io/aidatlu/
Detailed PyPI description (3973 chars)

○ 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

82 type-annotated function signatures detected in source

✦ High Multiple Contributors 10.0

Active multi-contributor project

6 unique contributor(s) across 100 commits in SiLab-Bonn/aidatlu
Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

CH1, CH2, CH3, CH4, CH5, CH6: eval(trigger_configuration))( CCH0, CCH1, CCH2, C

✓ 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: uni-bonn.de>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository SiLab-Bonn/aidatlu appears legitimate

⚠ 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 aidatlu

Your task is to develop a user-friendly control panel application for managing AIDA-2020 TLU devices using Python. This application will allow users to remotely configure and monitor their TLU devices from a web interface. Here are the steps and features your application should include:

1. **Setup Environment**: Ensure your development environment is set up with the latest version of Python and the `aidatlu` package installed.

2. **Device Discovery**: Implement a feature to automatically discover connected AIDA-2020 TLU devices on the network. Use the `aidatlu.discover_devices()` function to scan for devices.

3. **Device Configuration**: Allow users to configure various settings on the TLU devices through a simple form interface. Key settings to include are voltage levels, trigger thresholds, and operational modes. Use `aidatlu.set_voltage()`, `aidatlu.set_threshold()`, and `aidatlu.set_mode()` functions respectively to update these settings.

4. **Real-time Monitoring**: Develop a dashboard to display real-time data from the TLU devices, such as current voltage levels, temperature readings, and status messages. Utilize `aidatlu.get_voltage()`, `aidatlu.get_temperature()`, and `aidatlu.get_status()` methods for retrieving this information.

5. **Event Logging**: Include a logging system that records all changes made to device configurations and any errors encountered during operation. Store logs locally and provide a way to view them within the application.

6. **Security Measures**: Ensure that only authorized users can access and modify the settings of the TLU devices. Implement basic authentication mechanisms to protect against unauthorized access.

7. **User Interface**: Design a clean and intuitive user interface using a modern web framework like Flask or Django. The UI should be responsive and easy to navigate, providing clear feedback to the user on the status of their operations.

8. **Documentation**: Write comprehensive documentation explaining how to install and use the application, including any prerequisites and setup instructions.

By following these steps, you'll create a powerful yet accessible tool for managing AIDA-2020 TLU devices, showcasing the capabilities of the `aidatlu` package.