AI Analysis
The package audit-recorder v0.5.1 appears to be safe with no detected risks such as network calls, shell execution, or credential harvesting. The metadata risk is slightly elevated due to the author's limited activity on PyPI.
- No network calls detected
- No shell execution detected
- Author has limited PyPI activity
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
- Shell: No shell execution patterns detected, suggesting no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author has only one package and lacks PyPI classifiers, suggesting low effort or new/inactive account.
Package Quality Overall: Low (4.4/10)
Test suite present — 9 test file(s) found
Test runner config found: pyproject.toml9 test file(s) detected (e.g. test_audit_decorator.py)
Some documentation present
Detailed PyPI description (17161 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
33 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
2 maintainer concern(s) found
Author "audit-recorder contributors" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a simple web-based task management application using Flask in Python, which integrates the 'audit-recorder' package to log all user actions and changes made within the system. This application should allow users to create tasks, mark them as completed, and delete them. Additionally, it should support user registration and login functionalities. The 'audit-recorder' package will be used to track every action performed by each user, such as creating a new task, marking a task as completed, or deleting a task. Each logged event should include details like the user who performed the action, the time of the action, and the nature of the action taken. Furthermore, the application should provide a feature to view these audit logs, allowing administrators to review all activities on the platform. The goal is to demonstrate how the 'audit-recorder' package can enhance the security and traceability of user interactions in a web application.
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