apache-airflow-providers-github

v2.11.2 safe
3.0
Low Risk

Provider package apache-airflow-providers-github for Apache Airflow

🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks across all categories, with no detected network calls, shell executions, or credential harvesting attempts. The metadata risk is slightly elevated due to minor red flags, but there's no indication of malicious activity.

  • Minimal network and shell risks
  • No evidence of credential harvesting
  • Minor metadata anomalies but no clear malicious intent
Per-check LLM notes
  • Network: No network calls detected, which is normal as the package likely uses predefined APIs without direct network calls.
  • Shell: No shell execution patterns detected, consistent with a well-behaved package that does not execute external commands.
  • Obfuscation: The observed pattern is a common technique for extending package paths and not indicative of malicious obfuscation.
  • Credentials: No suspicious patterns indicating credential harvesting were detected.
  • Metadata: The package shows some minor red flags but lacks clear indicators of malicious intent.

📦 Package Quality Overall: Medium (7.8/10)

✦ High Test Suite 9.0

Test suite present — 12 test file(s) found

  • Test runner config found: conftest.py
  • 12 test file(s) detected (e.g. conftest.py)
✦ High Documentation 9.0

Well-documented package

  • Documentation URL: "Documentation" -> https://airflow.apache.org/docs/apache-airflow-providers-git
  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (3481 chars)
○ 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

  • Type checker (mypy / pyright / pytype) referenced in project
  • 11 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 46 unique contributor(s) across 100 commits in apache/airflow
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • under the License. __path__ = __import__("pkgutil").extend_path(__path__, __name__) # Licensed to the Apache S
✓ 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: airflow.apache.org>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0
✓ Git Repository History

Repository apache/airflow 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 apache-airflow-providers-github 
Create a GitHub Workflow Automation tool using Apache Airflow and the 'apache-airflow-providers-github' package. This tool will enable users to automate tasks such as triggering builds, deploying code, and managing repositories directly from Apache Airflow. Here’s a detailed breakdown of the steps and features you need to implement:

1. **Setup Environment**: Ensure your environment has Python, Apache Airflow, and the 'apache-airflow-providers-github' package installed. Use Docker if necessary to maintain consistency across different development environments.

2. **GitHub Authentication**: Implement OAuth2 authentication for GitHub within Apache Airflow. Users should be able to authorize the application to interact with their GitHub accounts.

3. **Task Definitions**: Define tasks that can be triggered via the workflow automation tool. Tasks could include actions like creating a new repository, merging pull requests, and deploying branches to specific environments.

4. **Triggering Workflows**: Develop a user-friendly interface where users can select which tasks they want to execute and specify any required parameters (e.g., repository name, branch name).

5. **Execution and Monitoring**: Once a workflow is triggered, monitor its progress within Apache Airflow. Provide real-time status updates on task execution.

6. **Error Handling**: Implement robust error handling to manage failed tasks gracefully. Users should receive notifications about failures and have options to retry or skip failed tasks.

7. **Customization Options**: Allow users to customize workflows by chaining multiple tasks together and setting up conditional logic based on task outcomes.

8. **Documentation**: Write comprehensive documentation detailing how to set up the tool, configure it for different use cases, and troubleshoot common issues.

In this project, the 'apache-airflow-providers-github' package will be used extensively to interact with the GitHub API. It provides operators and hooks that simplify tasks such as authenticating with GitHub, managing repositories, and executing GitHub Actions. Your goal is to create a versatile and user-friendly tool that leverages these capabilities to streamline GitHub workflow automation.

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