Community Resources for AI-Infra-Guard: Where to Get Help and Contribute

The AI-Infra-Guard project maintains active community channels including GitHub Discussions, Discord, WeChat, and direct email support at zhuque@tencent.com, all documented in the repository's README.md.

Whether you are troubleshooting a scan result or extending the tool with custom plugins, knowing where to find community resources for AI-Infra-Guard accelerates your workflow. The Tencent/AI-Infra-Guard repository structures its support ecosystem across synchronous chat platforms, asynchronous issue tracking, and comprehensive documentation.

Official Community Channels

The project centralizes its community links in README.md (lines 3353-3357), providing multiple pathways for engagement based on your preferred communication style and language.

GitHub Discussions and Issues

For structured questions, feature requests, and bug reports, the repository uses GitHub's native collaboration tools:

• GitHub Discussions – Use this forum for questions, ideas, and general collaboration at https://github.com/Tencent/AI-Infra-Guard/discussions.
• GitHub Issues – Report bugs or request new features at https://github.com/Tencent/AI-Infra-Guard/issues.

These platforms are indexed by search engines, making them valuable for finding historical solutions to common configuration problems.

Real-Time Chat on Discord

For immediate assistance and informal chat with security researchers, join the official Discord Community at https://discord.gg/U9dnPnyadZ. This channel is particularly active for discussing new detection techniques and sharing scan results.

WeChat Group for Chinese-Speaking Users

The project maintains a WeChat Group specifically for Chinese-language announcements and community support. Access requires scanning a QR code displayed in the README.md, making it the primary channel for users in mainland China who prefer domestic platforms.

Direct Contact for Collaborations

For business inquiries, direct contributions, or sensitive security disclosures, contact the maintainers via email at zhuque@tencent.com. This address is listed in the repository documentation for non-public discussions.

Contributing to the Project

Community contributions extend beyond bug reports. The repository provides specific pathways for code, documentation, and rule set improvements.

CI/CD and Issue Management

The .github/workflows/* directory contains automation pipelines that automatically label new issues and pull requests. When you open a PR, these workflows enforce linting and testing standards, ensuring your contribution meets the project's quality gates.

Documentation Contributions

The docs/* directory powers the documentation site hosted at https://tencent.github.io/AI-Infra-Guard. Community members contribute tutorials, API references, and example configurations here. Changes to this directory trigger automatic deployments to the GitHub Pages site.

Architecture Overview for Developers

Before writing plugins or core modifications, review AGENTS.md, which provides an architectural overview of the project's extension points. This file explains how the scanner loads detection rules and how to implement new agents, serving as the definitive guide for developers looking to extend the tool's capabilities.

Programmatically Interacting with Community Resources

You can automate issue creation or data submission using the GitHub API. Below is a minimal Python script that programmatically posts a new issue to the repository. Replace YOUR_TOKEN with a personal access token that has repository permissions:

import requests

repo = "Tencent/AI-Infra-Guard"
title = "Example issue from script"
body = "Describe the problem or feature request here."
headers = {"Authorization": "token YOUR_TOKEN"}

resp = requests.post(
    f"https://api.github.com/repos/{repo}/issues",
    json={"title": title, "body": body},
    headers=headers,
)
print(resp.json())

This approach is useful for automated reporting pipelines that generate issues when AI infrastructure scans detect anomalies.

Summary

• Community resources for AI-Infra-Guard are centralized in README.md (lines 3353-3357) and include GitHub Discussions, Issues, Discord, WeChat, and email.
• Real-time support occurs primarily on Discord, while structured bug tracking happens via GitHub Issues.
• The docs/* directory hosts contributeable documentation, and .github/workflows/* automates contribution quality checks.
• Developers should consult AGENTS.md for architectural guidance before extending the tool.

Frequently Asked Questions

How do I report a bug in AI-Infra-Guard?

Navigate to https://github.com/Tencent/AI-Infra-Guard/issues and create a new issue with a descriptive title and reproduction steps. The .github/workflows/* automation will automatically apply appropriate labels to route your report to the correct maintainers.

Where can I find the AI-Infra-Guard documentation site?

The documentation is hosted at https://tencent.github.io/AI-Infra-Guard and is built from the docs/* directory in the repository. You can contribute improvements by submitting pull requests against files in that directory.

Is there a way to contribute new detection rules to AI-Infra-Guard?

Yes. According to the AGENTS.md file, the project supports extension through custom agents and rules. Submit new detection logic via a pull request to the appropriate directory, ensuring your code passes the CI checks defined in .github/workflows/*.

How do I join the Chinese-language community for AI-Infra-Guard?

Scan the QR code displayed in the README.md file to join the WeChat group. This channel is specifically designated for Chinese-speaking users seeking announcements and community support.

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