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3 changes: 2 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@ Contributions are always welcome. Please read the [Contribution Guidelines](CONT

## Table of Contents

- [Awesome LLM Security ](#awesome-llm-security-)
- [Awesome LLM Security ](#awesome-llm-security-)h
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⚠️ Potential issue | 🟡 Minor

목차 앵커가 깨져 있어 탐색이 오동작합니다.

Line 12에서 링크 뒤 h가 링크 외부로 남아 있고, 링크 텍스트 내부 공백도 있어 Markdown lint(MD039) 위반입니다. 목차 클릭 동작/가독성 모두 깨집니다.

🔧 제안 수정
-- [Awesome LLM Security ](`#awesome-llm-security-`)h
+- [Awesome LLM Security](`#awesome-llm-security-`)
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
- [Awesome LLM Security ](#awesome-llm-security-)h
- [Awesome LLM Security](`#awesome-llm-security-`)
🧰 Tools
🪛 markdownlint-cli2 (0.22.0)

[warning] 12-12: Spaces inside link text

(MD039, no-space-in-links)

🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In `@README.md` at line 12, 목차 항목 "[Awesome LLM Security
](`#awesome-llm-security-`)h"에 공백과 끝의 불필요한 'h' 및 끝나는 하이픈 때문에 앵커가 깨집니다; README의 해당
목차 항목(문자열 "[Awesome LLM Security ](`#awesome-llm-security-`)h")을 찾아 링크 텍스트 내 불필요한
공백을 제거하고 끝 하이픈과 'h'를 삭제해 올바른 앵커로 바꿉니다(예: "[Awesome LLM
Security](`#awesome-llm-security`)").

- [Table of Contents](#table-of-contents)
- [Papers](#papers)
- [White-box attack](#white-box-attack)
Expand Down Expand Up @@ -118,6 +118,7 @@ Contributions are always welcome. Please read the [Contribution Guidelines](CONT
- [WhistleBlower](https://github.com/Repello-AI/whistleblower): open-source tool designed to infer the system prompt of an AI agent based on its generated text outputs. ![GitHub Repo stars](https://img.shields.io/github/stars/Repello-AI/whistleblower?style=social)
- [Open-Prompt-Injection](https://github.com/liu00222/Open-Prompt-Injection): open-source tool to evaluate prompt injection attacks and defenses on benchmark datasets. ![GitHub Repo stars](https://img.shields.io/github/stars/liu00222/Open-Prompt-Injection?style=social)
- [Agentic Radar](https://github.com/splx-ai/agentic-radar): Open-source CLI security scanner for agentic workflows. ![GitHub Repo stars](https://img.shields.io/github/stars/splx-ai/agentic-radar?style=social)
- [`@ny-squared/guard`](https://github.com/nysquared-support-ux/guard): Unified LLM Security SDK — one-liner protection for OpenAI/Anthropic/Gemini. Rule-based OSS mode (Apache 2.0) + ML-enhanced Pro mode. Scans OWASP Top 10 LLM threats. ![GitHub Repo stars](https://img.shields.io/github/stars/nysquared-support-ux/guard?style=social)

## Articles

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