ethz-spylab/agentdojo

• highreadme#1

  Add an introductory paragraph to the README

  原因：

  当前

  The README currently jumps directly from the title and author list to 'Quickstart.'

  复制粘贴的修复

  复制

  After the title and author list, but before the 'Quickstart' section, add a paragraph such as: 'AgentDojo provides a unique, dynamic environment designed for evaluating LLM agents on complex, multi-step, real-world web-based tasks. It simulates a realistic browser environment, enabling comprehensive assessment of agent robustness against prompt injection attacks and the effectiveness of various defenses.'

  待办完成忽略
• hightopics#2

  Expand repository topics with more specific security and testing keywords

  原因：

  当前

  benchmark, large-language-models, prompt-injection, security

  复制粘贴的修复

  复制

  benchmark, large-language-models, prompt-injection, security, adversarial-testing, red-teaming, llm-security, vulnerability-assessment, agent-security

  待办完成忽略
• mediumreadme#3

  Add a 'Why AgentDojo?' or 'Key Features' section to the README

  原因：

  当前

  There is no explicit section detailing unique features or a comparison to alternatives.

  复制粘贴的修复

  复制

  Add a new section, for example, 'Why AgentDojo?' or 'Key Features', detailing its unique aspects such as: 'Dynamic, realistic browser environment for agent evaluation', 'Focus on complex, multi-step web-based tasks', and 'Comprehensive evaluation of both prompt injection attacks and defenses for LLM agents.'

  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 benchmark large language model agent robustness against prompt injection vulnerabilities?

  你：未被推荐
  AI 推荐顺序：

  1. Garak
  2. LLM Guard
  3. PromptInject
  4. Adversarial Robustness Toolbox (ART) by IBM
  5. OWASP LLM Top 10
  6. Trail of Bits
  7. NCC Group
  8. Cure53
  9. LangChain
  10. LlamaIndex

  AI 推荐了 10 个替代方案，却始终没点名 ethz-spylab/agentdojo。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Need a testing environment to assess LLM agent security against adversarial prompts.

  你：未被推荐
  AI 推荐顺序：

  1. Giskard
  2. LLM Guard
  3. Gandalf (by Lakera AI)
  4. Adversarial GLUE (AdvGLUE)
  5. OpenAI Evals
  6. Red Teaming Language Models (from Anthropic)
  7. LangChain
  8. LlamaIndex

  AI 推荐了 8 个替代方案，却始终没点名 ethz-spylab/agentdojo。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 ethz-spylab/agentdojo?

  pass
  ✓AI 明确点名了 ethz-spylab/agentdojo

  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 ethz-spylab/agentdojo in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 ethz-spylab/agentdojo

  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 ethz-spylab/agentdojo solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 ethz-spylab/agentdojo

  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？