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@ -59,7 +59,7 @@ A verified record of public citations and integrations of WFGY ProblemMap across
| [free-ai-agents-resources](https://github.com/avinash201199/free-ai-agents-resources) | [![GitHub Repo stars](https://img.shields.io/github/stars/avinash201199/free-ai-agents-resources?style=social)](https://github.com/avinash201199/free-ai-agents-resources) | Lists **onestardao/WFGY** as an open-source framework for debugging and stress testing LLM agents and RAG pipelines, highlighting the 16-problem failure map and reproducible prompt-driven triage workflow. |
| [Awesome AI Tools](https://github.com/eudk/awesome-ai-tools) | [![GitHub Repo stars](https://img.shields.io/github/stars/eudk/awesome-ai-tools?style=social)](https://github.com/eudk/awesome-ai-tools) | Includes WFGY as an open-source framework for debugging LLM agents and RAG pipelines. |
| [LLM-Agent-Benchmark-List](https://github.com/zhangxjohn/LLM-Agent-Benchmark-List) | [![GitHub Repo stars](https://img.shields.io/github/stars/zhangxjohn/LLM-Agent-Benchmark-List?style=social)](https://github.com/zhangxjohn/LLM-Agent-Benchmark-List) | Lists **WFGY 3.0 · Singularity Demo (BlackHole-131)** as a long-horizon, text-only stress test for LLM agents, covering 131 S-class problems for tension-based reasoning and robustness evaluation. |
| [Awesome-Data-Science](https://github.com/natnew/Awesome-Data-Science) | [![GitHub Repo stars](https://img.shields.io/github/stars/natnew/Awesome-Data-Science?style=social)](https://github.com/natnew/Awesome-Data-Science) | Adds **WFGY ProblemMap** under “Practical Guides & Debugging” as a reference for diagnosing and fixing RAG/LLM pipeline failures. |
| [Awesome-Data-Science](https://github.com/natnew/Awesome-Data-Science/blob/main/docs/generative-ai.md) | [![GitHub Repo stars](https://img.shields.io/github/stars/natnew/Awesome-Data-Science?style=social)](https://github.com/natnew/Awesome-Data-Science) | Adds **WFGY ProblemMap** under “Practical Guides & Debugging” as a reference for diagnosing and fixing RAG/LLM pipeline failures. |
| [Awesome-Prompt-Engineering-ZH-CN](https://github.com/yunwei37/Awesome-Prompt-Engineering-ZH-CN) | [![GitHub Repo stars](https://img.shields.io/github/stars/yunwei37/Awesome-Prompt-Engineering-ZH-CN?style=social)](https://github.com/yunwei37/Awesome-Prompt-Engineering-ZH-CN) | Includes **WFGY 16 Problem Map** in the Tools & Code section as a vendor-neutral failure map for LLM/RAG pipelines, describing the 16 failure modes and minimal recovery strategies in Chinese. |
| [AI Agents for Cybersecurity](https://github.com/santosomar/AI-agents-for-cybersecurity) | [![GitHub Repo stars](https://img.shields.io/github/stars/santosomar/AI-agents-for-cybersecurity?style=social)](https://github.com/santosomar/AI-agents-for-cybersecurity) | References the 16 mode map as a debugging guide for RAG-heavy security agents. |
| [Awesome Artificial Intelligence Research](https://github.com/ThyrixYang/awesome-artificial-intelligence-research) | [![GitHub Repo stars](https://img.shields.io/github/stars/ThyrixYang/awesome-artificial-intelligence-research?style=social)](https://github.com/ThyrixYang/awesome-artificial-intelligence-research) | Links to WFGY in the NLP section as a project on LLM robustness, debugging, and reliability. |