Most comprehensive OSS AI red teaming tool. 3,264 stars. Full-stack: ClawScan, Agent Scan, Skills Scan, MCP scan, jailbreak eval. 43 AI framework components, 589 CVEs cataloged. v4.0 released.
Where it wins
3,264 stars — highest in agent security sub-category
Full-stack: ClawScan, Agent Scan, Skills Scan, MCP scan, jailbreak eval
43 AI framework components and 589 CVEs cataloged
Fully open source — no commercial dependencies
v4.0 released — actively developed
Where to be skeptical
Enterprise trust signals mostly from Chinese tech ecosystem — Western adoption still building
Breadth may come at cost of depth vs specialized tools like Snyk Agent Scan
Editorial verdict
#2 agent/MCP security scanner. Most comprehensive OSS red teaming tool — ClawScan, Agent Scan, Skills Scan, MCP scan, jailbreak eval. 3,264 stars (highest in agent security). 43 AI framework components, 589 CVEs cataloged. Best for OSS-first teams wanting breadth without commercial dependencies.
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Public evidence
Most comprehensive OSS agent security tool. Full-stack scanning across ClawScan, Agent Scan, Skills Scan, MCP scan, and jailbreak eval. 589 cataloged CVEs across 43 AI framework components.
Raw GitHub source
Constrained peek so you can sanity-check the source material without leaving the site.
<b>A.I.G (AI-Infra-Guard)</b> integrates capabilities such as ClawScan(OpenClaw Security Scan), Agent Scan，AI infra vulnerability scan, MCP Server & Agent Skills scan, and Jailbreak Evaluation, aiming to provide users with the most comprehensive, intelligent, and user-friendly solution for AI security risk self-examination.
<p> We are committed to making A.I.G(AI-Infra-Guard) the industry-leading AI red teaming platform. More stars help this project reach a wider audience, attracting more developers to contribute, which accelerates iteration and improvement. Your star is crucial to us! </p> <p align="center"> <a href="https://github.com/Tencent/AI-Infra-Guard"> </a> </p> <br>Help us improve A.I.G! Please take 3-5 minutes to fill out our User Feedback Survey. Users who provide high-quality feedback and leave a valid email address will receive an exclusive Tencent souvenir gift.
<br>model.token now optional with system default fallback.aig-agent-redteam skill for comprehensive Agent red-team assessment.👉 Earlier releases · 🔍 aig-skill-scan · 📊 SkillTrustBench · 🩺 EdgeOne ClawScan
| Docker | RAM | Disk Space |
|---|---|---|
| 20.10 or higher | 4GB+ | 10GB+ |
# This method pulls pre-built images from Docker Hub for a faster start
git clone https://github.com/Tencent/AI-Infra-Guard.git
cd AI-Infra-Guard
# For Docker Compose V2+, replace 'docker-compose' with 'docker compose'
docker-compose -f docker-compose.images.yml up -d
Once the service is running, you can access the A.I.G web interface at:
http://localhost:8088
<br>
You can also call A.I.G directly from OpenClaw chat via the aig-scanner skill.
clawhub install aig-scanner
Then configure AIG_BASE_URL to point to your running A.I.G service.
For more details, see the aig-scanner README.
Method 2: One-Click Install Script （Recommended）
# This method will automatically install Docker and launch A.I.G with one command
curl https://raw.githubusercontent.com/Tencent/AI-Infra-Guard/refs/heads/main/docker.sh | bash
Method 3: Build and run from source
git clone https://github.com/Tencent/AI-Infra-Guard.git
cd AI-Infra-Guard
# This method builds a Docker image from local source code and starts the service
# (For Docker Compose V2+, replace 'docker-compose' with 'docker compose')
docker-compose up -d
Note: The AI-Infra-Guard project is positioned as an AI red teaming platform for internal use by enterprises or individuals. It currently lacks an authentication mechanism and should not be deployed on public networks.
For more information, see: https://tencent.github.io/AI-Infra-Guard/?menu=getting-started