What is ai-guide?

65/100
Trust Score (C)
⚠️ Use Caution

ai-guide is a AI tool that 程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程,分享大模型选择指南(DeepSeek / GPT / Gemini / Claude)、最新 AI 资讯、Prompt 提示词大全、AI 知识百科(RAG / MCP / A2A)、AI 编程教程、AI 工具用法(Cursor / Claude Code / TRAE / Lovable / Agent Skills)、AI 开. It has a Nerq Trust Score of 65/100 (C). 7.1K GitHub stars. Published by liyupi. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

65
TRUST SCORE
C
GRADE
7.1K
STARS
0
DOWNLOADS

What ai-guide Does

ai-guide is a agent in the AI tool category. 程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程,分享大模型选择指南(DeepSeek / GPT / Gemini / Claude)、最新 AI 资讯、Prompt 提示词大全、AI 知识百科(RAG / MCP / A2A)、AI 编程教程、AI 工具用法(Cursor / Claude Code / TRAE / Lovable / Agent Skills)、AI 开发框架教程(Spring AI / LangChain)、AI 产品变现指南,帮你快速掌握 AI 技术,走在时代前沿。本项目为开源文档版本,已升级为鱼皮 AI 导航网站. It is published by liyupi and has no specified license. With 7.1K GitHub stars and 0 downloads, it has a large and active community of users and contributors.

Who Should Use ai-guide

ai-guide is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

Authorliyupi
CategoryAI tool
LicenseNot specified
Typeagent
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=liyupi-ai-guide

Setup guide · Full safety report · Production review · Is it safe?

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Frequently Asked Questions

What is ai-guide used for?
ai-guide is a AI tool tool. 程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程,分享大模型选择指南(DeepSeek / GPT / Gemini / Claude)、最新 AI 资讯、Prompt 提示词大全、AI 知识百科(RAG / MCP / A2A)、AI 编程教程、AI 工具用法(Cursor / Claude Code / TRAE / Lovable / Agent Skills)、AI 开.
Is ai-guide free?
License: Check project page. ai-guide has 7.1K GitHub stars.
Is ai-guide safe?
ai-guide has a Nerq Trust Score of 65/100 (C). Use with caution.
What are alternatives to ai-guide?
Top alternatives: openclaw, stable-diffusion-webui, prompts.chat. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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