arvel-audit

v0.6.0 safe
3.0
Low Risk

Audit trail and activity log for Arvel — automatic model change history plus a fluent business-event recorder.

🤖 AI Analysis

Final verdict: SAFE

The package presents minimal risks with no network calls, shell executions, obfuscations, or credential harvesting attempts detected. The metadata risk is slightly elevated due to the author having only one package, but there are no other red flags.

  • Low risk scores across all categories.
  • Single package from author increases metadata risk slightly.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communications.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author has only one package, which may indicate a new or less active account, but no other red flags were found.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 6 test file(s) found

  • Test runner config found: conftest.py
  • 6 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://arvel.dev/packages/audit/
  • Detailed PyPI description (2789 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 60 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in mohamed-rekiba/arvel
  • Two distinct contributors found

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository mohamed-rekiba/arvel appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Arvel contributors" 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 arvel-audit 
Create a mini-application called 'AuditLogAnalyzer' that leverages the 'arvel-audit' Python package to manage and analyze audit trails for a hypothetical e-commerce platform. The app should allow users to track changes made to product listings, customer information, and order statuses. Here’s a detailed breakdown of what the application should include:

1. **User Interface**: Develop a simple, intuitive web interface using Flask (a lightweight web framework for Python). This UI will allow administrators to view logs, search through them, and filter based on different criteria such as date range, user ID, and action type.
2. **Core Functionality**:
   - **Change History**: Implement functionality to automatically record every change made to products (e.g., price updates, stock levels), customer details (e.g., address changes, contact info updates), and order statuses (e.g., pending, shipped).
   - **Event Recording**: Use 'arvel-audit' to seamlessly integrate a fluent business-event recording system that captures all significant actions performed within the e-commerce platform.
3. **Features**:
   - **Search & Filter Logs**: Allow users to search through logs by specific fields like timestamp, user, action, etc., and apply filters to narrow down results.
   - **Real-time Notifications**: Integrate a real-time notification system (using WebSockets) that alerts administrators about critical events such as unauthorized access attempts or suspicious activities.
   - **Export Logs**: Provide an option to export audit logs into various formats like CSV or JSON for further analysis or compliance purposes.
4. **Utilizing 'arvel-audit'**:
   - Ensure that each action performed on the e-commerce platform triggers an event recorded by 'arvel-audit'. For example, when a product's price is updated, the package should capture this change along with who made the update and when.
   - Use 'arvel-audit' to maintain a chronological history of all actions, which can then be queried via your application’s backend to populate the UI with relevant data.
5. **Testing & Documentation**:
   - Write comprehensive tests for the application, focusing on both the backend integration with 'arvel-audit' and the frontend functionalities.
   - Document the setup process, including how to install 'arvel-audit', configure it with your application, and start using its features effectively.

💬 Discussion Feed

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