🤖 AI Analysis

Final verdict: SUSPICIOUS

The package ailogbook v0.0.1 has low risks in terms of network, shell, and obfuscation activities. However, the metadata risk score of 5 out of 10 raises suspicion due to signs of low activity and effort, which may indicate potential issues.

Low activity and effort indicated by metadata
No immediate malicious code patterns detected

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, 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 package shows signs of low activity and effort, raising some suspicion but not definitive evidence of malice.

📦 Package Quality Overall: Low (1.2/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

○ Low Documentation 1.0

No documentation detected

No documentation URL, doc files, or meaningful description found

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

No GitHub repository linked — contributor count unavailable

🔬 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 package
Author "AILogbook" 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 ailogbook

Create a simple logging utility application named 'LogMaster' using Python, which leverages the 'ailogbook' package to manage logs effectively. This utility should serve as a tool for developers to monitor and analyze the runtime behavior of their applications by capturing various types of log messages. Here are the steps and features you should include in your project:

1. **Setup Project**: Initialize a new Python project and install the 'ailogbook' package.
2. **Configuration**: Allow users to configure the logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL), log file path, and rotation settings through a configuration file or command-line arguments.
3. **Logging Levels**: Implement functions to log messages at different levels (DEBUG, INFO, WARNING, ERROR, CRITICAL). Each function should accept a message string as input.
4. **File Rotation**: Use 'ailogbook' to handle log file rotation based on size or time, ensuring that old logs are archived and new ones are created automatically.
5. **Error Handling**: Integrate error handling mechanisms to ensure that any issues during logging operations are gracefully managed and logged.
6. **Interactive Mode**: Provide an interactive mode where users can manually input log messages and see them being logged in real-time.
7. **Analysis Tools**: Include basic analysis tools within the application to help users understand the content of their logs, such as frequency counts of different log levels over time.
8. **Documentation**: Write comprehensive documentation for the project, explaining how to use each feature and customize the logging behavior.

By following these steps and incorporating the 'ailogbook' package's capabilities, your 'LogMaster' application will become a valuable tool for developers looking to enhance their logging practices.