agesuta

v0.1.19 safe
4.0
Medium Risk

A custom logging utility and other utilities with Rich console output, file handling, Slack notification, etc.

πŸ€– AI Analysis

Final verdict: SAFE

The package appears to be primarily focused on logging functionalities with some risks associated with shell execution but no signs of malicious intent or obfuscation.

  • Low risk of obfuscation and credentials harvesting
  • Potential risk due to shell command execution
  • Benign network calls
Per-check LLM notes
  • Network: The network call appears to be fetching an image, which is generally benign unless the URL is suspicious.
  • Shell: Executing shell commands and using subprocess can pose risks if not properly sanitized or intended for legitimate functionality within the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a single package and low repository engagement, indicating potential lack of community support or newness.

πŸ“¦ Package Quality Overall: Low (3.6/10)

β—‹ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
β—ˆ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (4204 chars)
β—‹ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
β—ˆ Medium Type Annotations 5.0

Partial type annotation coverage

  • 6 type-annotated function signatures (partial)
β—ˆ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 32 commits in AgemameSutachi/agesuta
  • Single author but highly active (32 commits)

πŸ”¬ Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • e URL response = requests.get(image_url) response.raise_for_status() # HTTPエ
βœ“ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • ritical("γƒ†γ‚Ήγƒˆ: critical") os.system("PAUSE") from .com import log_decorator, CustomLogger imp
  • try: result = subprocess.run(cmd_list, encoding="cp932", capture_output=True)
βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: gmail.com

βœ“ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "AgemameSutachi" appears to have only 1 package on PyPI (new or inactive account)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with agesuta 
Create a mini-project called 'LogMaster' using Python that leverages the 'agesuta' package to enhance its logging capabilities. LogMaster should serve as a versatile tool for monitoring and managing logs across different components of a system. Here’s a detailed outline of what your project should include:

1. **Project Setup**: Start by setting up a new Python environment and installing the necessary packages, including 'agesuta'. Make sure to document the setup process in a README file.
2. **Core Functionality**: Develop a main module that can initialize logging using 'agesuta'. This logging should be able to capture various levels of logs (debug, info, warning, error, critical) and format them appropriately using the Rich console output feature of 'agesuta'.
3. **File Handling**: Implement functionality within LogMaster that allows it to save logs to a file. Use 'agesuta' to handle file rotation based on size or time, ensuring that log files do not grow indefinitely.
4. **Remote Notification**: Utilize the Slack notification feature provided by 'agesuta' to send alerts for critical errors directly to a specified Slack channel. Ensure that the user can configure which severity levels trigger these notifications.
5. **Interactive Console**: Build an interactive command-line interface (CLI) that allows users to view logs in real-time, filter logs by date/time range, and search for specific keywords within the logs. Use 'agesuta' to format and display this information in a user-friendly manner.
6. **Configuration Management**: Allow users to customize logging behavior through a configuration file. This file should enable users to specify log levels, output formats, file paths, and Slack webhook URLs. Use 'agesuta' to load and apply these configurations dynamically.
7. **Testing and Documentation**: Write unit tests to ensure that all functionalities work as expected. Document each feature of LogMaster thoroughly, explaining how to use it effectively.
8. **Deployment Considerations**: Discuss potential deployment scenarios where LogMaster could be integrated into existing systems. Suggest best practices for deploying LogMaster in production environments.

This project aims to demonstrate the robustness and flexibility of 'agesuta' while providing a practical solution for log management in Python applications.