0xSteph/pentest-ai

• highreadme#1

  Reposition README H1 tagline to emphasize LLM/AI

  原因：

  当前

  Autonomous pentests from one command. Real tools, working PoCs, audit-ready reports.

  复制粘贴的修复

  复制

  Autonomous, LLM-powered pentests from one command. Real tools, working PoCs, audit-ready reports. BYO LLM, no API key needed.

  待办完成忽略
• mediumreadme#2

  Add a 'Why pentest-ai?' section highlighting LLM differentiation

  原因：

  复制粘贴的修复

  复制

  ## Why pentest-ai?
  
  Unlike traditional pentesting tools, `pentest-ai` leverages Large Language Models (LLMs) to orchestrate offensive security tasks, generate exploit chains, and produce audit-ready reports. It's an open-source, modular platform designed for autonomous, AI-driven penetration testing, allowing you to bring your own LLM without cloud dependencies or API keys.

  待办完成忽略
• mediumtopics#3

  Expand topics with more specific LLM/AI terms

  原因：

  当前

  ai-security, bug-bounty, claude, ctf, cybersecurity, exploit, exploit-chaining, hacking-tools, mcp, model-context-protocol, nmap, offensive-security, osint, penetration-testing, pentest-ai, pentesting, python, red-team, security, vulnerability-scanner

  复制粘贴的修复

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  ai-security, bug-bounty, claude, ctf, cybersecurity, exploit, exploit-chaining, generative-ai, hacking-tools, large-language-models, llm-security, mcp, model-context-protocol, nmap, offensive-security, osint, penetration-testing, pentest-ai, pentesting, python, red-team, security, vulnerability-scanner

  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

  How to automate penetration testing for web applications using AI agents?

  你：未被推荐
  AI 推荐顺序：

  1. OWASP ZAP (Zed Attack Proxy)
  2. AppSec Flow
  3. PortSwigger Burp Suite Enterprise Edition
  4. Nuclei (projectdiscovery/nuclei)
  5. Scrapy
  6. Selenium
  7. Playwright
  8. TensorFlow
  9. PyTorch
  10. Scikit-learn
  11. spaCy
  12. Apache Airflow
  13. Prefect

  AI 推荐了 13 个替代方案，却始终没点名 0xSteph/pentest-ai。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Looking for an offline AI-driven security tool to generate exploit chains and audit reports.

  你：未被推荐
  AI 推荐顺序：

  1. Metasploit Framework (rapid7/metasploit-framework)
  2. Pwnagotchi (evilsocket/pwnagotchi)
  3. Immunity Canvas
  4. Core Impact
  5. Vuls (future-architect/vuls)
  6. OpenVAS (greenbone/openvas)
  7. scikit-learn (scikit-learn/scikit-learn)
  8. TensorFlow Lite (tensorflow/tensorflow)
  9. PyTorch Mobile (pytorch/pytorch)

  AI 推荐了 9 个替代方案，却始终没点名 0xSteph/pentest-ai。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of 0xSteph/pentest-ai?

  pass
  ✓AI 明确点名了 0xSteph/pentest-ai

  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 0xSteph/pentest-ai in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 0xSteph/pentest-ai

  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 0xSteph/pentest-ai solve, and who is the primary audience?

  pass
  ⚠AI 未点名 0xSteph/pentest-ai —— 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？