AI Analysis
The package exhibits a moderate risk level due to its network activity and unusual metadata characteristics. While no direct malicious activities are evident, the recent creation and irregular commit history warrant further investigation.
- Network risk due to external API calls
- Unusual metadata and commit patterns
Per-check LLM notes
- Network: The package makes network calls to external APIs which may indicate legitimate functionality but could also suggest unauthorized data transmission.
- Shell: No shell execution patterns were detected in the provided code snippets.
- Obfuscation: No obfuscation patterns detected, indicating low risk of code hiding or evasion techniques.
- Credentials: No credential harvesting patterns detected, suggesting the package does not engage in unauthorized data collection.
- Metadata: The package is suspicious due to its recent creation and unusual commit pattern.
Heuristic Checks
Found 5 network call pattern(s)
-> bool: try: r = requests.get(f"{base_url}/api/tags", timeout=_TIMEOUT_PROBE) retuounter() try: r = requests.get(f"{url}/api/tags", timeout=_TIMEOUT_PROBE) except reques} try: resp = requests.post( f"{chosen_base}/api/chat", json=payimport requests resp = requests.get( "https://api.elevenlabs.io/v1/voices", headvoice_id, safe="") resp = requests.post( f"https://api.elevenlabs.io/v1/text-to-speech/{safe
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: ageniuslabs.com>
All external links appear legitimate
Git history flags: All 21 commits happened within 24 hours
All 21 commits happened within 24 hours
3 maintainer concern(s) found
Only one version has ever been released β brand new packageAuthor name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a cross-platform voice-first note-taking application named 'VoiceNoteMaster' using the Python package 'agenius-note'. This application will revolutionize how users jot down ideas, create to-do lists, and manage their daily tasks by leveraging voice commands and speech-to-text technology. Hereβs a detailed breakdown of the steps and features you'll implement: 1. **Setup Environment**: Begin by setting up your development environment. Ensure you have Python installed, along with the necessary dependencies including 'agenius-note'. Use pip to install the package. 2. **Application Structure**: Design the structure of your application. It should include modules for handling user interactions, managing notes, and integrating with 'agenius-note'. 3. **Voice Activation**: Utilize 'agenius-note' to set up a system where the application can be activated through custom wake words. Users should be able to choose their own wake words for convenience and personalization. 4. **Speech-to-Text Integration**: Implement real-time speech-to-text functionality using 'agenius-note'. When activated, the application should listen for voice inputs and convert them into written text. This feature should work seamlessly across different platforms. 5. **Note Management**: Allow users to create, edit, delete, and organize their notes. Each note should be timestamped and searchable. Users should also be able to categorize their notes for better organization. 6. **To-Do List**: Integrate a to-do list feature where users can dictate tasks and deadlines. These tasks should be automatically added to a list that can be viewed and managed within the application. 7. **AI Parsing (Optional)**: Optionally, integrate 'agenius-note's AI parsing capabilities to analyze notes for key information such as dates, contacts, and locations. This parsed data could then be used to automatically add events to a calendar or send reminders. 8. **User Interface**: Develop a clean and intuitive user interface that allows users to interact with their notes and to-do lists. Consider both command-line and graphical interfaces for flexibility. 9. **Testing and Debugging**: Thoroughly test the application on various platforms to ensure it works reliably. Pay special attention to speech recognition accuracy and user interaction. 10. **Documentation and Deployment**: Write comprehensive documentation detailing how to use 'VoiceNoteMaster', including setup instructions and troubleshooting tips. Deploy the application so it can be easily accessed and downloaded by users. By following these steps and utilizing the 'agenius-note' package, you'll create a powerful and user-friendly tool that enhances productivity and simplifies note-taking.