AI Analysis
Final verdict: SUSPICIOUS
The package has a moderate risk score due to its low metadata quality and newness, raising concerns about its legitimacy and development effort.
- Metadata risk is elevated due to low effort indicators.
- Lack of additional versions or classifiers suggests potential unreliability.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution detected, which is expected as executing shell commands is not typical for an audit logging package.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows some signs of low effort and could be suspicious due to its newness and lack of additional versions or classifiers.
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
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 6.0
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "Agent Audit Logger Team" 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 agent-audit-logger
Create a mini-application called 'AuditLogTool' that integrates the 'agent-audit-logger' package to provide an audit trail for a simple user management system. This application will allow users to perform CRUD operations on user records (create, read, update, delete). Each operation performed on the user records will be logged using the 'agent-audit-logger' package, ensuring a SOC 2 compliant audit trail. ### Features: 1. **User Management:** Implement basic CRUD functionalities for managing user records. 2. **Audit Logging:** Every action taken on user records must be logged using the 'agent-audit-logger'. Logs should include timestamp, user ID, action performed, and any relevant data such as username or email. 3. **User Interface:** Develop a simple command-line interface (CLI) for interacting with the user management system. 4. **Configuration Settings:** Allow users to configure logging levels, log file paths, and other settings through a configuration file. 5. **Security Measures:** Ensure that sensitive information like passwords are not logged directly. Use placeholders or hashes where necessary. 6. **Error Handling:** Gracefully handle errors and exceptions, logging them appropriately. 7. **Documentation:** Provide comprehensive documentation detailing how to set up and use the application, including setup instructions for the 'agent-audit-logger' package. ### Steps to Build the Application: 1. **Setup Environment:** Initialize a new Python project and install required dependencies, including 'agent-audit-logger'. 2. **Define User Model:** Create a class to represent user objects with attributes such as id, username, email, and password. 3. **Implement CRUD Operations:** Write functions to create, read, update, and delete user records. 4. **Integrate Audit Logger:** Use 'agent-audit-logger' to wrap the user management functions and log each action performed. 5. **Develop CLI:** Design a command-line interface for users to interact with the user management system. 6. **Configure Logging:** Set up logging configurations to specify log levels, formats, and output destinations. 7. **Test Application:** Thoroughly test the application to ensure all features work as expected and that logs are correctly generated. 8. **Document Setup:** Write detailed documentation on setting up the application and using the 'agent-audit-logger' package. This project aims to demonstrate the integration of 'agent-audit-logger' in a real-world scenario, showcasing its ability to maintain a secure and compliant audit trail.