allianceauth-afat

v5.2.0 safe
3.0
Low Risk

Another Fleet Activity Tracking tool for Alliance Auth

🤖 AI Analysis

Final verdict: SAFE

The package shows very low risks across all technical indicators, with only metadata raising minor concerns due to the maintainer's account status.

  • No network calls detected
  • No shell execution patterns found
  • No obfuscation or credential harvesting attempts
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

  • 3 test file(s) detected (e.g. __init__.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/ppfeufer/allianceauth-afat/blob/master/RE
  • Detailed PyPI description (18122 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

  • 34 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 5 unique contributor(s) across 100 commits in ppfeufer/allianceauth-afat
  • Active community — 5 or more distinct contributors

🔬 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: ppfeufer.de>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository ppfeufer/allianceauth-afat 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 allianceauth-afat 
Your task is to develop a comprehensive fleet activity tracking mini-application using the Python package 'allianceauth-afat'. This application will serve as an essential tool for managing and monitoring fleet operations within a gaming alliance, specifically designed for the EVE Online community. Here’s a detailed guide on how to proceed:

1. **Project Setup**: Begin by setting up your development environment with Python installed. Ensure you have access to a PostgreSQL database since 'allianceauth-afat' requires it for storing fleet data.
2. **Install Dependencies**: Use pip to install the necessary packages including 'allianceauth-afat', 'django', and any other required libraries for web development.
3. **Database Configuration**: Configure your Django settings to connect to the PostgreSQL database where 'allianceauth-afat' will store its data. Make sure to set up the appropriate tables and models according to the documentation provided by 'allianceauth-afat'.
4. **Integration of 'allianceauth-afat'**: Follow the official documentation to integrate 'allianceauth-afat' into your Django project. This involves adding 'allianceauth_afat' to your INSTALLED_APPS in Django settings and running migrations to apply the necessary database schema changes.
5. **Feature Development**:
   - **Fleet Management**: Allow users to create, edit, and delete fleet activities. Each fleet activity should include details such as fleet name, start time, end time, and location.
   - **Member Tracking**: Enable the tracking of member participation in fleets. Users should be able to see who joined which fleets, when they joined/left, and their roles within the fleet.
   - **Statistics and Reports**: Implement functionality to generate statistics and reports based on fleet activities. These could include total hours flown, most active members, and participation rates.
6. **User Interface**: Develop a clean and user-friendly interface using Django templates. Ensure that the UI is responsive and accessible across different devices. Include features like real-time updates for fleet statuses and easy navigation.
7. **Testing**: Thoroughly test all functionalities to ensure that the application works as expected. Pay special attention to data integrity and security.
8. **Deployment**: Once testing is complete, deploy your application to a production server. Ensure that the deployment process includes steps for securing the application against common vulnerabilities.
9. **Documentation**: Provide clear documentation on how to use the application, including setup instructions and usage guides. This will help other users and administrators understand how to manage and utilize the fleet activity tracking system effectively.

By following these steps, you will create a powerful and user-friendly fleet activity tracking mini-application that leverages the capabilities of 'allianceauth-afat'.