Yeti-791/Tsec-Hackathon

• highreadme#1

  Reposition the README's opening to clarify its role as a navigation hub

  原因：

  当前

  This repository is the official event resource warehouse for Tencent Cloud Intelligent Penetration Hackathon...

  复制粘贴的修复

  复制

  This repository serves as the official one-stop navigation hub for top open-source LLM-based autonomous penetration agents, curated from the Tencent Cloud Intelligent Penetration Hackathon. It provides a central resource for leading projects, technical materials, and insights into AI-driven offensive security.

  待办完成忽略
• highlicense#2

  Add a LICENSE file to the repository

  原因：

  复制粘贴的修复

  复制

  Create a LICENSE file in the repository root, specifying the applicable open-source license (e.g., MIT, Apache-2.0, or a custom license if applicable) to clarify usage rights for the repository's content.

  待办完成忽略
• mediumabout#3

  Refine the 'About' description to emphasize its curated hub role

  原因：

  当前

  腾讯云智能渗透黑客松 Official repository of Tencent Cloud Intelligent Penetration Hackathon. Showcasing top open-source projects of LLM-based autonomous penetration agents, including multi-agent collaboration, automated penetration, AI-driven offensive security, and intelligent attack-defense solutions.

  复制粘贴的修复

  复制

  Official curated hub for the Tencent Cloud Intelligent Penetration Hackathon, providing a one-stop navigation page for top open-source LLM-based autonomous penetration agents. Explore leading projects, technical resources, and insights into multi-agent collaboration, automated penetration, and AI-driven offensive security solutions.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  What are the best open-source projects for AI-driven automated penetration testing?

  你：未被推荐
  AI 推荐顺序：

  1. OpenVAS / Greenbone Vulnerability Management (GVM)
  2. Metasploit Framework
  3. Nmap (Network Mapper)
  4. OWASP ZAP (Zed Attack Proxy)
  5. Nuclei
  6. Prowler

  AI 推荐了 6 个替代方案，却始终没点名 Yeti-791/Tsec-Hackathon。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  How can large language models be used to automate offensive security tasks?

  你：未被推荐
  AI 推荐顺序：

  1. ChatGPT / GPT-4
  2. Google Bard / Gemini
  3. Perplexity AI
  4. GitHub Copilot
  5. CodeQL
  6. Burp Suite
  7. Metasploit Framework
  8. Pwnagotchi
  9. Empire
  10. Covenant

  AI 推荐了 10 个替代方案，却始终没点名 Yeti-791/Tsec-Hackathon。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of Yeti-791/Tsec-Hackathon?

  pass
  ✓AI 明确点名了 Yeti-791/Tsec-Hackathon

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts Yeti-791/Tsec-Hackathon in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 Yeti-791/Tsec-Hackathon

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo Yeti-791/Tsec-Hackathon solve, and who is the primary audience?

  pass
  ⚠AI 未点名 Yeti-791/Tsec-Hackathon —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？