ai-personas

v1.13.0 suspicious
4.0
Medium Risk

1,300+ AI personas for LLMs and agents.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risk in terms of network, shell, and obfuscation activities, but the incomplete author information and potential inactivity of the maintainer raise concerns about its origin and maintenance.

  • Incomplete author information
  • Potential inactivity of the maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network interactions for its functionality.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer's author information is incomplete and they seem to be new or inactive, which raises some suspicion but does not strongly indicate malice.

📦 Package Quality Overall: Low (4.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/KudoAI/ai-personas/tree/main/python/#read
  • Detailed PyPI description (14745 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in KudoAI/ai-personas
  • Small but multi-author team (3–4 contributors)

🔬 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

Email domain looks legitimate: kudoai.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository KudoAI/ai-personas appears legitimate

⚠ 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 ai-personas 
Create a versatile AI persona management tool using the 'ai-personas' Python package. This tool will allow users to interact with a wide range of pre-defined AI personas and customize their own based on the provided dataset. The application should include the following functionalities:

1. **Persona Browser**: Users can browse through the 1,300+ AI personas available in the 'ai-personas' package. Each persona should have a unique description, personality traits, and context-specific responses.
2. **Custom Persona Creator**: Allow users to create their own AI personas by selecting from predefined characteristics, behaviors, and response styles. Users should be able to save and manage their custom personas within the application.
3. **Interactive Chat Interface**: Implement a chat interface where users can engage with selected AI personas in real-time. The chat should support natural language processing and adapt responses based on the chosen persona's attributes.
4. **Persona Comparison Tool**: Enable users to compare different AI personas side-by-side, highlighting similarities and differences in their responses to specific queries.
5. **Export/Import Functionality**: Users should be able to export their custom personas as JSON files and import them back into the application.
6. **Contextual Scenario Testing**: Provide a feature where users can test how different personas respond to various contextual scenarios or questions, aiding in the selection of the most suitable persona for specific tasks.

To utilize the 'ai-personas' package effectively, ensure that you import and integrate its functionalities to manage personas, generate responses, and handle persona data. The application should be user-friendly, providing clear instructions and visual feedback throughout the interaction process.