microsoft/waza

• highreadme#1

  Reposition README H1 and add explicit status to correct AI miscategorization

  原因：

  当前

  # Waza
  
  A Go CLI for evaluating AI agent skills — scaffold eval suites, run benchmarks, and compare results across models.

  复制粘贴的修复

  复制

  # Waza: A Go CLI for AI Agent Skill Evaluation
  
  **Waza is an actively maintained Go CLI specifically designed for evaluating and benchmarking AI agent skills and large language models.** It helps you scaffold evaluation suites, run benchmarks, and compare results across different models to improve skill quality and effectiveness.

  待办完成忽略
• mediumabout#2

  Enhance the repository description with more keywords

  原因：

  当前

  CLI / Framework for Agent Skills - create, test, measure and improve skill quality and effectiveness

  复制粘贴的修复

  复制

  Waza is a Go CLI and framework for evaluating AI agent skills and large language models. Create, test, measure, and improve skill quality and effectiveness through benchmarking and comparison.

  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 can I systematically evaluate the quality and effectiveness of my AI agent skills?

  你：未被推荐
  AI 推荐顺序：

  1. LangChain
  2. LlamaIndex
  3. Phoenix
  4. W&B Prompts
  5. OpenAI Evals
  6. Humanloop
  7. Ragas
  8. Deepchecks

  AI 推荐了 8 个替代方案，却始终没点名 microsoft/waza。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What tools help benchmark and compare various large language models for agent skill development?

  你：未被推荐
  AI 推荐顺序：

  1. LangChain Evaluation (langchain-ai/langchain)
  2. LlamaIndex Evaluation (run-llama/llama_index)
  3. Humanloop
  4. Weights & Biases Prompts (wandb/wandb)
  5. MLflow (mlflow/mlflow)
  6. Ragas (explodinggradients/ragas)
  7. DeepEval (confident-ai/deepeval)

  AI 推荐了 7 个替代方案，却始终没点名 microsoft/waza。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 microsoft/waza?

  pass
  ✓AI 明确点名了 microsoft/waza

  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 microsoft/waza in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 microsoft/waza

  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 microsoft/waza solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 microsoft/waza

  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？