🤖 AI Analysis

Final verdict: SAFE

The package aipa-cli v0.1.46 shows minimal risk indicators, with no network calls, shell execution, obfuscation, or credential harvesting. However, the maintainer's metadata suggests a newer or less active account, which slightly increases the overall risk score.

No network calls
New or inactive maintainer account

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution detected, indicating no direct system 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 has a new or inactive account with limited package history and lacks an author name.

📦 Package Quality Overall: Medium (5.2/10)

✦ High Test Suite 9.0

Test suite present — 11 test file(s) found

Test runner config found: conftest.py
Test runner config found: pyproject.toml
11 test file(s) detected (e.g. conftest.py)

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (18634 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

151 type-annotated function signatures detected in source

◈ Medium Multiple Contributors 5.0

Limited contributor diversity

1 unique contributor(s) across 100 commits in quanhua92/aipriceaction
Single author but highly active (100 commits)

🔬 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository quanhua92/aipriceaction 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 aipa-cli

Create a financial dashboard application using Python and the 'aipa-cli' package. This application will serve as a tool for investors to monitor stock market trends in real-time, leveraging AI for predictive analytics. Here’s a detailed breakdown of the project requirements and steps to build it:

1. **Project Setup**: Initialize your Python environment and install necessary packages including 'aipa-cli'. Ensure you have access to real-time stock market data APIs.

2. **User Interface**: Utilize 'aipa-cli' to create an interactive terminal-based UI. This interface should allow users to navigate through different stock tickers, view their historical performance, and current status.

3. **Real-Time Data Integration**: Integrate a real-time data feed from a financial API provider such as Alpha Vantage or Yahoo Finance. The app should automatically fetch and display live stock prices and other relevant metrics.

4. **AI-Powered Predictions**: Implement AI models (using libraries like scikit-learn or TensorFlow) that can analyze past performance data and provide short-term predictions about future trends. These predictions should be displayed alongside the real-time data.

5. **Customization Options**: Allow users to customize which stocks they want to track and set up alerts for significant price movements or other events.

6. **Historical Analysis**: Provide functionality for viewing historical data over various time periods, allowing users to conduct in-depth analyses.

7. **User Authentication**: Incorporate basic user authentication to save personalized settings and preferences across sessions.

8. **Testing and Documentation**: Thoroughly test all features and functionalities. Document the setup process, configuration options, and usage instructions clearly.

The 'aipa-cli' package is crucial for building the terminal UI and handling user interactions within the application. It simplifies the creation of a rich, interactive command-line experience, making it easier to implement complex functionalities such as navigating between different stock tickers, customizing views, and integrating AI predictions.