🤖 AI Analysis

Final verdict: SAFE

The package exhibits low risks across all categories with no indications of malicious behavior. The metadata risk is slightly elevated due to the author's limited package history, but this alone does not warrant suspicion.

No network calls detected.
No shell execution patterns observed.
No obfuscation or credential harvesting activities.

Per-check LLM notes

Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity for a data source connector like 'airbyte-source-github'.
Shell: No shell execution patterns detected, which is expected and normal for a Python package designed to interact with GitHub.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The author 'Airbyte' has only one package, suggesting it might be a new or less active account, but no other red flags are present.

📦 Package Quality Overall: Medium (5.0/10)

○ 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://docs.airbyte.com/integrations/sources/github
Brief PyPI description (454 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

169 type-annotated function signatures detected in source

✦ High Multiple Contributors 10.0

Active multi-contributor project

14 unique contributor(s) across 100 commits in airbytehq/airbyte
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: airbyte.io

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository airbytehq/airbyte appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Airbyte" 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 airbyte-source-github

Create a GitHub Activity Tracker using the 'airbyte-source-github' package. This application will serve as a personal dashboard to monitor your GitHub activity and contributions over time. It should include the following core functionalities:

1. **Authentication**: Integrate OAuth2 authentication to allow users to connect their GitHub accounts securely.
2. **Data Extraction**: Use the 'airbyte-source-github' package to extract data from connected GitHub accounts, focusing on repositories, issues, pull requests, and contributions.
3. **Data Storage**: Store the extracted data in a local SQLite database for easy querying and analysis.
4. **Dashboard Generation**: Develop a simple web interface using Flask to display key metrics such as total contributions, number of repositories, open issues, and recent pull requests.
5. **Notifications**: Implement a feature that sends email notifications when certain events occur, such as when a new issue is opened or a pull request is merged.
6. **Customization**: Allow users to customize which types of data they want to track and receive notifications about.
7. **Analytics**: Include basic analytics to show trends over time, such as monthly contribution counts.

The application should be designed to be user-friendly and visually appealing, providing real-time insights into GitHub activity. Ensure that the 'airbyte-source-github' package is utilized effectively to automate the data extraction process, making the app robust and scalable.