🤖 AI Analysis

Final verdict: SAFE

The package has low risks across all categories with no network calls, shell executions, or obfuscations detected. The metadata suggests it may be new and not well-maintained, but there are no clear signs of malicious activity.

Low risk scores across all categories
No clear signs of malicious intent

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external API interactions.
Shell: No shell execution detected, indicating no direct system command invocation.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
Metadata: The package shows signs of being newly created and low-effort, but there are no clear indicators of malicious intent.

🔬 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 "Mohamed Abdimalik" 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 afsoomaali

Develop a comprehensive mini-application that serves as a Somali Language Assistant. This application will utilize the 'afsoomaali' Python package to provide various natural language processing functionalities specifically tailored for the Somali language. The app should have the following core features:

1. **Text Translation**: Users can input text in Somali, and the app translates it into English and vice versa.
2. **Sentiment Analysis**: Analyze the sentiment of a given Somali text and categorize it as positive, negative, or neutral.
3. **Keyword Extraction**: Extract key words and phrases from a given Somali text that capture the essence of the content.
4. **Language Detection**: Automatically detect whether the input text is in Somali or another language.
5. **Text Summarization**: Provide a concise summary of a longer Somali text.

**Steps to Build the Application**:

1. Set up your development environment with Python installed. Ensure you have the 'afsoomaali' package installed using pip (`pip install afsoomaali`).
2. Design a user-friendly interface where users can input their text. This could be a simple command-line interface or a more advanced web-based interface depending on your preference and skills.
3. Implement each of the core features mentioned above. For example, use the 'translate_text()' function from the 'afsoomaali' package for translation tasks, and similarly, leverage other functions provided by the package for sentiment analysis, keyword extraction, language detection, and text summarization.
4. Test the application thoroughly to ensure accuracy and reliability of the results across different inputs.
5. Deploy the application either locally or online, making it accessible to others who may benefit from these Somali language tools.

By completing this project, you'll gain valuable experience in applying NLP techniques to a specific language, enhancing your understanding of both the 'afsoomaali' package and the broader field of computational linguistics.