🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has some concerning elements, particularly regarding metadata and potential shell execution risks, though it does not engage in network activities.

Suspicious email domain and lack of maintainer information in metadata.
Potential misuse of subprocess execution.

Per-check LLM notes

Network: No network calls detected, which is low risk.
Shell: Subprocess execution may indicate the package performs system tasks, but requires further investigation to confirm legitimate use.
Metadata: The package shows signs of potential risk due to the suspicious email domain and lack of maintainer information.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

path, *args] result = subprocess.run( cmd, input=stdin_data,
path, *args] result = subprocess.run( cmd, capture_output=True,

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

⚠ Registered Email Domain score 3.0

Suspicious email domain flags: Very short email domain: ua.pt>

Very short email domain: ua.pt>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 ReForma

Create a mini-application that simulates a simple language learning game using the ReForma Python package. This application will allow users to input sentences in a specific language, and the app will use ReForma to analyze the grammatical structure of the sentences. Users can then receive feedback on whether their sentence follows the correct grammatical rules according to the language model provided by ReForma. Additionally, the app could suggest corrections if the user's sentence contains errors.

Step 1: Setup the Project Environment
- Install Python and necessary libraries including ReForma.
- Create a virtual environment and install ReForma via pip.

Step 2: Define Language Models
- Use ReForma to define several language models representing different languages (e.g., English, Spanish).
- Each model should include basic grammatical rules and structures.

Step 3: Develop Sentence Input Functionality
- Implement a function where users can input sentences.
- Ensure the application accepts sentences in the selected language.

Step 4: Implement Grammatical Analysis
- Utilize ReForma to process the input sentences against the defined language models.
- Analyze the sentences to determine if they adhere to the grammatical rules.

Step 5: Provide User Feedback
- Display feedback to the user indicating whether their sentence is grammatically correct.
- If incorrect, provide suggestions for correction based on the analysis done by ReForma.

Step 6: Enhance User Experience
- Add a feature allowing users to choose between different languages.
- Include examples of correctly structured sentences for each language model.

Suggested Features:
- A graphical user interface (GUI) built with Tkinter or similar for better user interaction.
- Integration of a machine translation API to translate sentences into other languages.
- Option for users to save and review their past inputs and received feedback.

The goal is to create an educational tool that not only checks grammar but also helps users learn by providing constructive feedback and examples.