aa-skillfarm

v3.0.0 safe
3.0
Low Risk

A Skillfarm Tracker Module for Alliance Auth

🤖 AI Analysis

Final verdict: SAFE

The package exhibits low risks across all categories with no signs of malicious activities. The primary concern is the metadata risk due to incomplete maintainer information, but this does not indicate a supply-chain attack.

  • Low network risk from legitimate API calls
  • No shell execution or obfuscation detected
  • Maintainer metadata is sparse but does not raise red flags
Per-check LLM notes
  • Network: The package makes network calls to a public API which appears legitimate for fetching market aggregates, indicating it may be intended for retrieving external data.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer's author name is missing and they appear to have only one package, suggesting potential low activity or newness to the platform.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • return request = requests.get( "https://market.fuzzwork.co.uk/aggregates/",
  • pend(item) request = requests.get( "https://market.fuzzwork.co.uk/aggregates/",
✓ 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

Repository Geuthur/aa-skillfarm 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 aa-skillfarm 
Create a fully functional mini-application using the Python package 'aa-skillfarm' which is designed as a Skillfarm Tracker Module for Alliance Auth. Your task is to develop an interactive web-based tool that allows users to track their progress in Skillfarm, a popular feature within certain gaming communities managed by Alliance Auth. This application should serve as a user-friendly interface where players can input their current skill levels, view historical data, and set goals for future improvements.

### Key Features:
1. **User Authentication:** Integrate a simple login system to ensure that only authorized users can access their personal Skillfarm data.
2. **Skill Level Tracking:** Allow users to manually input or update their current skill levels across various categories.
3. **Historical Data Visualization:** Implement charts and graphs to visualize the user's progress over time, providing insights into areas of improvement.
4. **Goal Setting:** Enable users to set skill level targets and receive notifications when they achieve these milestones.
5. **Community Leaderboards:** Display a leaderboard showcasing the top performers in the community, encouraging friendly competition.
6. **Notifications System:** Send email or in-app notifications to users about their achievements, upcoming events, or reminders to update their skills.

### Utilization of 'aa-skillfarm':
- Use 'aa-skillfarm' to fetch real-time data about the user's skill levels from Alliance Auth's backend.
- Leverage the package's functionalities to store and manage user data efficiently, ensuring data integrity and security.
- Incorporate the package's tracking capabilities to monitor skill progression accurately and provide meaningful analytics.

### Development Steps:
1. Set up a virtual environment and install necessary packages including 'aa-skillfarm'.
2. Design the database schema to store user information, skill levels, and historical data.
3. Develop the frontend interface using HTML/CSS/JavaScript frameworks like React or Vue.js for a responsive design.
4. Build the backend logic using Flask or Django, integrating the 'aa-skillfarm' package to handle data retrieval and storage.
5. Implement user authentication using JWT tokens or similar methods.
6. Develop the functionality for tracking and visualizing skill levels, ensuring data is displayed clearly and effectively.
7. Add goal-setting features and integrate a notification system.
8. Test the application thoroughly to ensure all features work as expected.
9. Deploy the application on a cloud service provider like Heroku or AWS for public accessibility.