appgrowing-cli

v0.1.4 safe
3.0
Low Risk

CLI scaffold for AppGrowing competitive monitoring workflows.

🤖 AI Analysis

Final verdict: SAFE

The package appears safe with no network calls or credential harvesting detected. The shell execution noted needs further clarification on its purpose, but there are no clear malicious activities.

  • No network calls detected.
  • No credential harvesting patterns detected.
  • Shell execution detected, but requires verification of its purpose.
Per-check LLM notes
  • Network: No network calls detected, which is normal and not suspicious.
  • Shell: Shell execution detected may be intended for package functionality but requires verification of its purpose to ensure it's not being used maliciously.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows some low-effort indicators but lacks clear malicious signals.

📦 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 (12953 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

  • 113 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

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • in) try: result = subprocess.run( ["uv", "run", "--with", "browser-cookie3", "pyt
✓ 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

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 appgrowing-cli 
Create a mini-application called 'CompeteTrack' that leverages the 'appgrowing-cli' package to monitor and analyze the competitive landscape of mobile apps within specific categories. This tool will help businesses understand their competitors' strategies and performance trends over time. Here’s a detailed breakdown of the application’s functionality and features:

1. **User Authentication**: Implement basic user authentication using OAuth2.0 to ensure secure access to the application.
2. **Category Selection**: Allow users to select from predefined categories (e.g., Gaming, Social Media, Productivity) or input custom categories to focus on specific areas of interest.
3. **Competitor Tracking**: Utilize 'appgrowing-cli' to automatically track key competitors within the selected category. Users should be able to add or remove competitor apps as needed.
4. **Data Collection**: Regularly collect data such as download counts, ratings, reviews, and new versions/releases of the tracked apps.
5. **Trend Analysis**: Provide visual analytics (charts and graphs) to display trends over time, including monthly downloads, average ratings, and review sentiment analysis.
6. **Alert System**: Set up an alert system where users can receive notifications via email or SMS if certain metrics (like a significant drop in ratings or a sudden spike in downloads) are detected.
7. **Custom Reports**: Enable users to generate customizable reports summarizing the collected data and insights, which can be exported in PDF or CSV formats.
8. **Integration with Other Tools**: Optionally, integrate CompeteTrack with other tools like Google Sheets or Slack for further analysis or team collaboration.

The 'appgrowing-cli' package will primarily be used for automating the process of collecting competitive data. It should be integrated into the backend logic of CompeteTrack to handle the interaction with the AppGrowing API, ensuring that all data collection tasks are performed efficiently and accurately.

💬 Discussion Feed

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