🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of low maintenance and poor metadata quality, raising concerns about its overall health and security posture. While there are some mitigations against credential harvesting, the combination of network and credential risks warrants further scrutiny.

Low maintenance and poor metadata quality
Potential network risks
Mitigations against credential harvesting present

Per-check LLM notes

Network: Network calls are common in packages that require internet access for functionality, but should be reviewed for legitimacy and scope.
Shell: No shell execution patterns detected, indicating low risk.
Obfuscation: No obfuscation patterns detected in the package.
Credentials: The code includes a check to prevent '../../etc/passwd' style strings from reaching an Ollama URL, which may indicate an attempt to mitigate potential credential harvesting risks.
Metadata: The package shows signs of low maintenance and poor metadata quality, but lacks clear indicators of malicious intent.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (26166 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

◈ Medium Type Annotations 5.0

Partial type annotation coverage

538 type-annotated function signatures detected in source

○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

like). """ async with httpx.AsyncClient(timeout=_PULL_TIMEOUT_SECONDS) as client: try:

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 2.5

Found 1 credential access pattern(s)

sanity-checked so a `../../etc/passwd` style string can't reach the Ollama URL (paranoia — Ol

✓ 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

Author name is missing or very short
Author "" 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 agntspace

Create a personal task management assistant using the 'agntspace' package. This mini-app will serve as a digital assistant that helps users manage their daily tasks more efficiently by integrating seamlessly with their schedule. Here’s a step-by-step guide on how to build this app:

1. **Setup and Installation**: Start by installing the 'agntspace' package along with any other necessary Python packages such as 'requests' for making HTTP requests if needed.
2. **Integration with Calendar**: Utilize the 'agntspace' package to integrate the app with a user's calendar (e.g., Google Calendar). The app should be able to read upcoming events and appointments to suggest appropriate times for tasks.
3. **Task Creation and Management**: Allow users to create, edit, delete, and view tasks through a simple interface. Each task should have fields like title, description, priority level, due date, and status.
4. **AI-Powered Scheduling**: Implement a feature where the app suggests optimal times for tasks based on the user's calendar availability and task priority. Use 'agntspace' to enhance scheduling suggestions with natural language processing capabilities.
5. **Notifications and Reminders**: Set up notifications and reminders for upcoming tasks and events. Users should receive alerts when a task is due or when there’s free time available in their schedule to work on pending tasks.
6. **Customization Options**: Provide customization options for users to tailor the app according to their preferences, such as choosing preferred notification methods (email, SMS, push notifications), setting default task priorities, and customizing the app theme.
7. **Data Export and Import**: Enable users to export their task data and import it into another system or share it with others. This could be useful for collaboration or backup purposes.
8. **User Interface Design**: Develop a clean and user-friendly interface that makes it easy for users to interact with their tasks and calendar. Consider designing both a web-based UI and a mobile app interface for better accessibility.

By following these steps and utilizing the 'agntspace' package effectively, you'll create a powerful and personalized task management assistant that can significantly improve users' productivity and organization.