actions-guard-hub - AI-powered GitHub Actions security scanner that de

项目说明

ActionsGuardHub

A comprehensive, modular security analysis tool for GitHub Actions that provides AI-powered analysis for malicious github actions, detection, detailed reporting, and an intuitive web dashboard for results .

🖥️ Demo

!ActionsGuardHub Demo

🚀 Quick Start

Prerequisites

Installation

1. Clone the repository

2. Set up en (recommended)

3. Install dependencies

4. Set up en

Basic Usage

UI Usage

🌟 Features

ActionsGuardHub provides comprehensi security analysis for GitHub Actions with multiple input methods, flexible authentication options, and rich reporting capabilities. The tool features a modular architecture that supports AI models through LangChain, analyzes 10+ security categories, and generates actionable recommendations. De can read more about detailed features in the documentation.

> ⚠️ Important: This tool uses AI models which may produce false positives or miss actual . Always ha experts review AI-generated findings. See Disclaimers & Limitations for details.

📖 Documentation

Authentication Setup

#### Option 1: Personal Access Token (Default and Recommended)

1. Generate a PAT at GitHub Settings > De settings > Personal access tokens
2. Grant public_repo scope for public repositories
3. Set en :

#### Option 2: GitHub App (For organizations)

1. Create a GitHub App at GitHub Settings > De settings > GitHub Apps
2. Generate and download the private key
3. Install the app on your organization
4. Set en :

Command Line Options

🤖 AI Model Configuration

The scanner uses LangChain for AI model management, supporting multiple pro:

#### A Models

| Provider | Models | En | Installation |
|----------|--------|---------------------|--------------|
| Google Gemini | gemini-2.5-flash (recommended), gemini-2.5-pro | GOOGLE_API_KEY | pip install langchain-google-genai |
| OpenAI | gpt-4o-mini (recommended), gpt-4o, gpt-3.5-turbo, o1-mini | OPENAI_API_KEY | pip install langchain-openai |

#### Usage Examples

📊 Understanding Results

Each scan generates comprehensi reports including basic information, security analysis summaries, detailed security checks across 10+ categories, and actionable recommendations. Results are a through an interactive web dashboard with filtering capabilities and can be exported in multiple formats (JSON, text reports). Read more in the documentation.

🎯 Appropriate Use Cases

#### ✅ Good Use Cases

#### ❌ Inappropriate Use Cases

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Remember: AI-powered security analysis is a powerful tool to augment human expertise, not replace it. Always combine AI insights with human judgment and comprehensi practices.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

📞 Support & Community

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Made with ❤️ for the GitHub Actions security community

*Star ⭐ this repository if you find it useful!*

项目信息

开发语言：Python

Star 数：11

技术要点

该项目属于安全软件方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕AI-powered GitHub Actions security scanner that detects Malicious GitHub Actions & Vulnerabilities.展开，提供了可运行的实现，对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

从技术实现角度看，此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论，梳理项目的初始化流程、核心模块职责与数据流转，逐步掌握其中的技术细节与设计思路。

使用与学习建议

1. 下载源码压缩包，解压到本地环境。

2. 根据项目类型准备对应的运行环境与依赖。

3. 按照 README 中的步骤完成配置与部署。

4. 在隔离的测试环境中运行验证，避免影响生产系统。

免责声明

本资源来源于开源社区，仅供安全研究、技术学习与合法授权范围内的攻防演练使用，请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。