antivibe

作者 mohi-devhub已验证

Learn what AI writes, not just accept it. A Claude Code skill that turns AI-generated code into educational deep dives.

1,094
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76
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Shell
语言
2026/8/23
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⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/mohi-devhub/antivibe

快速入门

使用 antivibe 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

AntiVibe

Anti-Vibecoding Claude Code Mintlify OSS License

Understand any code, not just accept it.
A code learning & audit framework for Claude Code that turns any codebase — new, legacy, or AI-generated — into educational deep dives or senior-level architectural audits.


✨ What is AntiVibe?

AntiVibe is a code learning & audit framework that transforms any code — AI-generated, legacy, or otherwise — into educational content or architectural audits. You don't need recent git history or AI-authored files; point it at any file, directory, or module. Unlike generic code summaries, AntiVibe helps you understand:

  • What the code does (functionality)
  • Why it was written this way (design decisions)
  • When to use these patterns (context)
  • What alternatives exist (broader knowledge)

The Problem: AI writes code, developers copy-paste it, nobody learns anything.

🛡️ The Solution: AntiVibe explains the reasoning so you actually understand — and for code you already know, it audits the trade-offs instead.


🎯 Features

FeatureDescription
Deep DivesGenerate comprehensive learning guides from any code
Audit ModeSenior-level architectural audit — decisions, flags, edge cases, testability
Skill LevelsTune depth to junior, mid, or senior
Output Modescompact (default, low token cost) or full (resources + line-by-line)
Known ConceptsSkip list so familiar concepts get a one-line note, not a full explanation
PrerequisitesMaps each concept to the foundations you need to understand it first
Legacy-FriendlyWorks on existing codebases — no git history or AI authorship required
Concept MappingConnect code to underlying CS principles
Curated ResourcesQuality links to docs, tutorials, videos
Auto-TriggerOptional hooks for automatic generation
Multi-LanguageWorks with any language/framework

🚀 Quick Start

Installation

# Clone the repository
git clone https://github.com/mohi-devhub/antivibe.git

# Install as a global Claude Code skill
cp -r antivibe ~/.claude/skills/antivibe

Usage

/antivibe                        # Start a deep dive (compact, mid-level by default)
/antivibe full                   # Full deep dive with resources + line-by-line
"deep dive"                      # Analyze recently written code (git diff)
"walk me through src/auth/"      # Explain an explicit file or directory
"explain this codebase"          # Understand existing / legacy code
"learn from this code"           # Generate learning guide

Tune the depth and detail inline:

"explain for a junior"           # Define terms, analogies, full snippets
"I know the basics"              # Mid level — focus on design decisions
"audit this, just the trade-offs"  # Senior mode — routes to the auditor agent

📁 Output Example

Run a full deep dive (/antivibe full) and get a file like the one below. The default compact mode produces a shorter version — Overview, Key Components, and Concepts (what + why) — without the walkthrough or resources.

# Deep Dive: Authentication System

## Overview
This auth system uses JWT tokens with refresh token rotation...

## Code Walkthrough
### auth/service.ts
- **Purpose**: Token generation and validation
- **Key Components**: 
  - `generateTokens()`: Creates access/refresh tokens
  - `verifyToken()`: Validates JWT signatures

## Concepts Explained
### JWT (JSON Web Tokens)
- **What**: Stateless authentication tokens...
- **Why**: Server doesn't need to store sessions...
- **When**: APIs, SPAs, microservices...

## Learning Resources
- [JWT.io](https://jwt.io): Official documentation
- [Auth0 Guide](https://auth0.com/blog): Best practices

Saved to: deep-dive/auth-system-2026-04-10.md


🔧 Configuration

Behavior (in SKILL.md)

Tune how AntiVibe analyzes code by editing the config blocks in SKILL.md:

output_mode: compact      # compact (default) or full
default_level: mid        # junior, mid, or senior
known_concepts:           # skipped in explanations (one-line note only)
  - async/await
  - React hooks
  - REST APIs
SettingOptionsEffect
output_modecompact / fullcompact keeps token cost low (no resources, no line-by-line); full adds curated resources, prerequisites, and a line-by-line walkthrough
default_leveljunior / mid / seniorSets explanation depth; senior routes to the auditor agent for an architectural audit
known_conceptslistConcepts you already know — acknowledged in one line instead of fully explained

All three can also be overridden inline in a request (e.g. "/antivibe full", "explain for a junior", "just the trade-offs").

Auto-Trigger Hooks

Enable automatic deep-dive generation after task completion:

# Copy hooks to your project
cp hooks/hooks.json your-project/.claude/hooks.json
HookWhenUse Case
SubagentStopTask completesPhase-based learning
StopSession endsEnd-of-session summary

Customize Output Directory

Edit scripts/generate-deep-dive.sh:

OUTPUT_DIR="your-folder"  # Default: "deep-dive"

📂 File Structure

antivibe/
├── SKILL.md                     # Main skill definition
├── README.md                    # This file
├── hooks/
│   └── hooks.json              # Auto-trigger configuration
├── scripts/
│   ├── capture-phase.sh        # Detect implementation phases
│   ├── analyze-code.sh         # Parse code structure
│   ├── find-resources.sh       # Find external resources
│   └── generate-deep-dive.sh   # Generate markdown output
├── agents/
│   ├── explainer.md            # Subagent for learning-focused explanations
│   └── auditor.md              # Subagent for senior-level architectural audits
├── templates/
│   └── deep-dive.md            # Output template
├── reference/
│   ├── language-patterns.md    # Framework-specific patterns
│   └── resource-curation.md    # Curated learning resources
└── docs/
    ├── PLAN.md                  # Planning document
    └── setup.md                 # Detailed setup guide

📚 Principles

  1. Why over what - Always explain design decisions
  2. Context matters - Explain when/why to use patterns
  3. Curated resources - Quality links, not random results
  4. Phase-aware - Group by implementation phase
  5. Learning path - Suggest next steps for deeper study
  6. Concept mapping - Connect code to underlying CS concepts

🛠️ Supported Languages & Frameworks

  • JavaScript/TypeScript: React, Node.js, Express
  • Python: Django, FastAPI, Flask
  • Go: Standard library, Gin, Echo
  • Rust: Standard library, Actix
  • Java: Spring Boot
  • And more - Extensible pattern system

🤝 Contributing

Contributions welcome! To extend AntiVibe:

  1. Add patterns to reference/language-patterns.md
  2. Add resources to reference/resource-curation.md
  3. Customize the template in templates/deep-dive.md

📖 Documentation


⚠️ License

MIT License - Use it, learn from it, share it.


Built with 🔥 for developers who actually want to understand code.

常见问题

What is antivibe?

antivibe is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by mohi-devhub. Learn what AI writes, not just accept it. A Claude Code skill that turns AI-generated code into educational deep dives. It has 1,094 GitHub stars.

Is antivibe safe to use?

Yes. antivibe passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install antivibe?

Clone the repository with "git clone https://github.com/mohi-devhub/antivibe" and add it to your Claude Code skills directory (see the Installation section above). antivibe ships a SKILL.md manifest, so compatible agents can discover and load it automatically.

What programming language is antivibe written in?

antivibe is primarily written in Shell. It is open-source under mohi-devhub on GitHub, so you can review or fork the full source.

Are there alternatives to antivibe?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh antivibe against similar tools.

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