aio.api.github

v0.3.1 safe
4.0
Medium Risk

Wrapper around gidgethub

🤖 AI Analysis

Final verdict: SAFE

The package is considered safe with low risks across most categories and no indications of malicious intent.

  • Low shell and obfuscation risks
  • No credential harvesting detected
  • Moderate metadata risk due to single package from maintainer
Per-check LLM notes
  • Network: Expected to have network calls to GitHub API for interaction with the service.
  • Shell: No shell execution is typically expected in a pure API client package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package on PyPI, which might indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (4.6/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 68 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 5 unique contributor(s) across 100 commits in envoyproxy/toolshed
  • Active community — 5 or more distinct 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: synca.io

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository envoyproxy/toolshed appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Ryan Northey" 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 aio.api.github 
Create a GitHub Activity Tracker using the 'aio.api.github' package. This mini-application will allow users to input their GitHub username and retrieve their recent activity from the GitHub API. Here’s a detailed breakdown of the steps and features for your project:

1. **Setup**: Begin by setting up a Python virtual environment and installing the necessary packages, including 'aio.api.github'. Also, ensure you have an OAuth token from GitHub for authentication.

2. **User Input**: Design a simple user interface where users can enter their GitHub username.

3. **Fetch Data**: Utilize the 'aio.api.github' package to fetch the user’s recent activity from the GitHub API. This includes information such as recent commits, pull requests, issues opened/closed, etc.

4. **Data Processing**: Parse the fetched data to extract relevant details about each activity item, such as the type of activity (commit, PR, issue), date, and description.

5. **Display Results**: Present the processed activity data in a readable format, either through a console output or a basic web interface. Ensure the display is user-friendly and highlights important information clearly.

6. **Additional Features**:
   - **Filtering Options**: Allow users to filter activities by type (e.g., only show commits).
   - **Sorting**: Implement sorting options for activities based on date or type.
   - **Pagination**: If the activity list is long, add pagination support to handle large datasets efficiently.

7. **Testing**: Write unit tests to verify the functionality of your application, ensuring it correctly handles different types of GitHub activities and edge cases.

8. **Documentation**: Provide clear documentation on how to install and run the application, along with examples of usage.

This project will not only demonstrate your ability to work with APIs but also showcase your skills in handling asynchronous operations and processing real-world data.