AI Analysis
The package exhibits obfuscation techniques that are commonly used to evade detection, raising concerns about its intent. Additionally, the metadata suggests a lack of maintenance effort, which could indicate potential malicious activity.
- High obfuscation risk
- Low-effort metadata
Per-check LLM notes
- Network: No network calls detected, indicating low risk.
- Shell: Detected pip installation commands, which may indicate the package installs dependencies post-installation, but requires further investigation to confirm benign use.
- Obfuscation: The observed pattern is indicative of an attempt to bypass detection or analysis tools, which is often used in malicious scripts.
- Credentials: No clear patterns of credential harvesting were detected.
- Metadata: The package shows signs of low effort and could be suspicious due to the lack of maintainer history and missing author details.
Package Quality Overall: Low (2.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (1791 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
5 type-annotated function signatures (partial)
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
Found 1 obfuscation pattern(s)
try: __import__(target) env.set(target, sys.modules[target
Found 2 shell execution pattern(s)
{pkg} using pip...") subprocess.check_call([sys.executable, "-m", "pip", "install", pkg]) elif argif pkg: subprocess.check_call([sys.executable, "-m", "pip", "install", pkg])
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: example.com>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
4 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" 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 yet functional command-line utility using the 'angdigo-p1l' package. This utility will serve as a basic calculator that supports addition, subtraction, multiplication, and division operations. Additionally, it should have a feature to convert temperatures from Celsius to Fahrenheit and vice versa. The utility should be designed to demonstrate the minimalistic approach of the 'angdigo-p1l' language, focusing on simplicity and efficiency. Here are the steps and features you need to implement: 1. Initialize a new project and install the 'angdigo-p1l' package. 2. Create a main function that takes input from the user for the type of operation they wish to perform (calculator or temperature conversion). 3. Implement functions for each arithmetic operation (addition, subtraction, multiplication, division) and ensure they handle exceptions such as division by zero gracefully. 4. Add a function to convert temperatures between Celsius and Fahrenheit, ensuring accuracy and providing clear output messages. 5. Integrate error handling throughout the application to manage incorrect inputs and provide user-friendly error messages. 6. Ensure the code is written in a minimalist style, adhering to the principles of 'angdigo-p1l'. 7. Write tests for all functionalities to verify correctness and reliability. 8. Document the project, explaining the usage of 'angdigo-p1l' and how it contributes to the simplicity and efficiency of the application. This project will not only serve as a practical tool but also as a showcase for the capabilities and philosophy behind 'angdigo-p1l'.
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