AI Analysis
Final verdict: SUSPICIOUS
The package exhibits signs of obfuscation, which may indicate an attempt to conceal malicious activities, but lacks other strong indicators such as network calls or shell executions. The metadata also suggests potential inactivity or lack of maintenance.
- High obfuscation risk
- Potential inactivity or lack of maintenance
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
- Obfuscation: The code patterns suggest an attempt to obscure the import and execution of functions, which could be indicative of malicious intent.
- Credentials: No clear evidence of credential harvesting is present in the provided snippets.
- Metadata: The package shows signs of being potentially new or inactive with no maintainer history and low repository engagement.
Package Quality Overall: Low (4.2/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
7.0
Some documentation present
Documentation URL: "Documentation" -> https://argklass.readthedocs.ioDetailed PyPI description (7485 chars)
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
22 type-annotated function signatures detected in source
◈ Medium
Multiple Contributors
6.0
Limited contributor diversity
2 unique contributor(s) across 41 commits in kiwi-lang/argklassTwo distinct contributors found
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 4.0
Found 2 obfuscation pattern(s)
dule_name]) module = __import__(path, fromlist=[""]) if hasattr(module, function_name): retcached_result = pickle.loads(data) except Exception: cached_r
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: delaunay.io>
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 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 argklass
Create a versatile command-line tool that leverages the 'argklass' Python package to generate argparse configurations from dataclasses. This tool will allow users to easily define complex command-line interfaces by simply defining dataclasses. The application should be capable of handling various types of command-line arguments including optional flags, positional arguments, and more complex argument structures like nested namespaces. Step-by-Step Guide: 1. Define several example dataclasses representing different types of command-line interfaces (e.g., one for a simple file manipulation tool, another for a more complex network scanner). 2. Use 'argklass' to convert these dataclasses into argparse configurations. 3. Implement a main function that parses command-line arguments using the generated argparse parser and performs actions based on the parsed arguments. 4. Ensure your tool supports help messages for each command-line interface, generated automatically from the dataclass docstrings. 5. Add error handling to manage incorrect or missing arguments gracefully. 6. Document the process of defining dataclasses and converting them into command-line interfaces in a README.md file. Suggested Features: - Support for all common argument types (strings, integers, floats, booleans). - Ability to define default values directly within dataclasses. - Automatic generation of help messages from docstrings. - Nested namespaces to handle complex command-line structures. - Customizable argument validation logic within dataclasses. How to Utilize 'argklass': - Import 'argklass' at the beginning of your script. - Define your dataclasses with fields representing command-line arguments. - Use 'argklass.from_dataclass()' to convert your dataclasses into argparse configurations. - Integrate the resulting ArgumentParser object into your main function for parsing command-line input. This project aims to demonstrate the power and flexibility of 'argklass' in streamlining the development of command-line applications in Python.
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