🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to potential misuse of shell commands and suspicious metadata, despite having low risks in other categories.

Shell risk due to potential console clearing which can mask activities
High metadata risk due to suspicious git repository activity and new maintainer history

Per-check LLM notes

Network: No network calls detected, indicating low risk.
Shell: Detected shell execution is likely for clearing the console and may not indicate malicious intent, but could be used to mask activities.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting no immediate threat to secrets or credentials.
Metadata: High risk due to suspicious git repository activity and new maintainer history.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

rint(f"Efes: {PyKey.F}") os.system('cls') [egg_info] tag_build = tag_date = 0 from setup

✓ 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 score 7.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks
Single contributor with only 3 commit(s) — possibly throwaway account
All 3 commits happened within 24 hours

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Emiliano" 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 PyKeyeasy

Create a fully-functional mini-application called 'QuickNote' using Python, which leverages the PyKeyeasy package for ultra-simple keyboard event detection. QuickNote is designed to allow users to take notes quickly by capturing keystrokes and automatically storing them as notes when certain hotkeys are pressed. Here's a detailed breakdown of the application's functionality and suggested features:

1. **Initialization**: When QuickNote starts, it initializes the PyKeyeasy package to listen for keyboard events.
2. **Hotkey Detection**: Define a set of hotkeys (e.g., Ctrl+Shift+N) that will trigger note creation. Use PyKeyeasy to detect these hotkeys.
3. **Note Capture**: Upon detecting a hotkey, QuickNote captures all keystrokes until another hotkey (e.g., Ctrl+Shift+S) is pressed to signal the end of the note.
4. **Storage Mechanism**: Implement a simple storage mechanism to save the captured notes locally on the user's device. Notes could be stored in plain text files named according to the date and time they were created.
5. **Display Functionality**: Allow users to view their saved notes through a simple GUI or console output.
6. **Optional Features**:
   - **Search Functionality**: Add a search feature that allows users to find specific notes based on keywords.
   - **Tagging System**: Enable users to add tags to their notes for better organization.
   - **Auto-Save**: Automatically save notes at regular intervals (e.g., every 5 minutes).
7. **User Interface**: Design a clean and intuitive user interface where users can easily start, stop, and manage their notes.
8. **Testing and Validation**: Ensure the application works correctly by testing various scenarios such as long notes, special characters, and multiple note entries.

Utilize PyKeyeasy's capabilities to make the hotkey detection process seamless and efficient, ensuring QuickNote is both powerful and user-friendly.