fuck-u-code-analysis
Use when code changes are complete and ready for quality review, before committing or creating PRs. Triggers after implementing features, fixing bugs, or refactoring code. Also use when user asks to check code quality, analyze technical debt, review code smell, or mentions "fuck-u-code", "code quality", "shit mountain", "code review", "static analysis". Covers all 14 supported languages (Go, JS, TS, Python, Java, C, C++, Rust, C#, Lua, PHP, Ruby, Swift, Shell).
pinned to #13d082aupdated last month
Ask your AI client: “install skills/fuck-u-code-analysis”.
Requires the metahub MCP server installed in your client. Set up MCP.
mh install skills/fuck-u-code-analysismetahub onboarded this repo on the author's behalf.
If you own github.com/Done-0/fuck-u-code on GitHub, claim the listing to take over publishing. Your claim preserves the existing eval history and badges; only the curator label is replaced with verified-publisher on your next publish.
Stars
7,219
Last commit
last month
Latest release
published
Evaluation report
WarningsAutomated checks the publisher passed at publish time — structure, docs, safety, and whether the artifact behaves as claimed.13d082a· last month
Documentation
41Description quality
70 words · 465 chars — "Use when code changes are complete and ready for quality review, before committi…"
README is present and substantial
10,966 chars · 13 sections · 14 code blocks
Tags / topics declaredwarn
No manifest tags and no GitHub repo topics
Add tags to the manifest (or GitHub topics on the repo) so the registry's search and category filters surface this artifact.
README has usage / example sections
found: Installation · Usage
Homepage / docs URL declared
no homepage declared (registry will use the repo URL) — info-only, not blocking
Release history
1- releasecurrent13d082awarnlast month
Contents
fuck-u-code

[!Important] 📢 Remember this command:
fuck-u-code- let bad code have nowhere to hide!
A tool designed to expose shitty code quality with sharp but humorous feedback, showing you exactly how terrible your code is.
Features
- Multi-language support: Go, JavaScript, TypeScript, Python, Java, C, C++, Rust, C#, Lua, PHP, Ruby, Swift, Shell (14 languages)
- Overall Score: 0~100, higher = better code quality
- Shit-Gas Index: Per-file score, higher = worse code
- Seven quality checks: Complexity / Size / Comments / Error handling / Naming / Duplication / Structure
- AST parsing: Accurate syntax analysis powered by tree-sitter
- AI code review: Integrates OpenAI-compatible / Anthropic / DeepSeek / Gemini / Ollama
- Multiple output formats: Colored terminal / Markdown / JSON / HTML
- i18n: English / Chinese / Russian
- Flexible config:
.fuckucoderc.jsonand more, project-level and global support
[!Note] Code analysis runs fully offline — your code never leaves your machine. AI review requires an external API or local Ollama.
Installation
npm install -g eff-u-code
Or build from source:
git clone https://github.com/Done-0/fuck-u-code.git
cd fuck-u-code && npm install && npm run build
Usage
Code Analysis
fuck-u-code analyze # Analyze current directory
fuck-u-code analyze ./src # Analyze specific directory
fuck-u-code analyze . -v # Verbose (project overview, language stats, function metrics)
fuck-u-code analyze . -t 20 # Show top 20 worst files
fuck-u-code analyze . -l zh # Chinese output
fuck-u-code analyze . -f markdown # Markdown terminal rendering
fuck-u-code analyze . -f markdown -o report.md # Export Markdown
fuck-u-code analyze . -f html -o report.html # Export HTML
fuck-u-code analyze . -f json -o report.json # Export JSON
fuck-u-code analyze . -e "**/*.test.ts" # Exclude test files
| Option | Short | Description |
|---|---|---|
--verbose | -v | Verbose output |
--top <n> | -t | Top N worst files (default 10) |
--format <fmt> | -f | Format: console/markdown/json/html |
--output <file> | -o | Write to file |
--exclude <glob> | -e | Additional exclude patterns |
--concurrency <n> | -c | Concurrent workers (default 8) |
--locale <lang> | -l | Language: en/zh/ru/zh-tw |
AI Code Review
Requires AI provider setup (see AI Configuration).
fuck-u-code ai-review . -m gpt-4o # OpenAI-compatible
fuck-u-code ai-review . -p anthropic -m claude-sonnet-4-5-20250929 # Anthropic
fuck-u-code ai-review . -p ollama -m codellama # Local Ollama
fuck-u-code ai-review . -m gpt-4o -t 3 # Review top 3 worst
fuck-u-code ai-review . -m gpt-4o -f markdown -o review.md # Export Markdown
fuck-u-code ai-review . -b https://your-api.com/v1 -k sk-xxx -m model # Custom endpoint
| Option | Short | Description |
|---|---|---|
--model <model> | -m | Model name (required) |
--provider <name> | -p | Provider: openai/anthropic/deepseek/gemini/ollama |
--base-url <url> | -b | Custom API endpoint |
--api-key <key> | -k | API key |
--top <n> | -t | Review top N worst files (default 5) |
--format <fmt> | -f | Format: console/markdown/html |
--output <file> | -o | Write to file |
--verbose | -v | Verbose output |
--locale <lang> | -l | Language: en/zh/ru |
Config Management
fuck-u-code config init # Generate .fuckucoderc.json
fuck-u-code config show # Show current config
fuck-u-code config set i18n.locale zh # Set default language
fuck-u-code config set ai.provider openai # Set AI provider
fuck-u-code config set ai.model gpt-4o # Set AI model
fuck-u-code config set ai.apiKey sk-xxx # Set API key
Update
Update eff-u-code to the latest version:
fuck-u-code update # Update to latest version
This will:
- Check current installed version
- Check latest version on npm
- Auto-install the latest version globally
Uninstall
Remove fuck-u-code and clean up all local files:
fuck-u-code uninstall # Remove global config, MCP entries, and npm package
This will remove:
- Global config file (
~/.fuckucoderc.json) - MCP server entries (Claude Code, Cursor)
- Global npm package (
eff-u-code)
Configuration File
Auto-discovered from project directory upward, then falls back to global ~/.fuckucoderc.json.
Supported formats: .fuckucoderc.json / .yaml / .js / fuckucode.config.js / "fuckucode" field in package.json.
Global config path: macOS/Linux ~/.fuckucoderc.json, Windows C:\Users\<username>\.fuckucoderc.json.
Full example (.fuckucoderc.json):
{
"exclude": ["**/*.test.ts", "docs/**"],
"include": ["**/*"],
"concurrency": 8,
"verbose": false,
"output": {
"format": "console",
"top": 10,
"maxIssues": 5,
"showDetails": true
},
"metrics": {
"weights": {
"complexity": 0.32,
"duplication": 0.20,
"size": 0.18,
"structure": 0.12,
"error": 0.08,
"documentation": 0.05,
"naming": 0.05
}
},
"ai": {
"enabled": true,
"provider": "openai",
"model": "gpt-4o",
"baseUrl": "https://api.openai.com/v1",
"apiKey": "sk-your-api-key"
},
"i18n": {
"locale": "en"
}
}
AI Configuration
Supports 5 providers. Priority: CLI flags > environment variables > config file.
| Provider | Environment Variables | Example |
|---|---|---|
| OpenAI-compatible | OPENAI_API_KEY OPENAI_MODEL OPENAI_BASE_URL | ai-review . -m gpt-4o |
| Anthropic | ANTHROPIC_API_KEY | ai-review . -p anthropic -m claude-sonnet-4-5-20250929 |
| DeepSeek | DEEPSEEK_API_KEY | ai-review . -p deepseek -m deepseek-chat |
| Gemini | GEMINI_API_KEY | ai-review . -p gemini -m gemini-pro |
| Ollama | OLLAMA_HOST (optional) | ai-review . -p ollama -m codellama |
# OpenAI-compatible
export OPENAI_API_KEY="sk-your-key"
export OPENAI_BASE_URL="https://api.openai.com/v1" # Optional
# Or via config file
fuck-u-code config set ai.provider openai
fuck-u-code config set ai.model gpt-4o
fuck-u-code config set ai.apiKey sk-your-key
fuck-u-code config set ai.baseUrl https://api.openai.com/v1
MCP Server
fuck-u-code provides an MCP (Model Context Protocol) Server, allowing AI tools like Claude Code, Cursor, Windsurf, etc. to directly invoke code quality analysis and AI code review.
Setup
# Global install
npm install -g eff-u-code
# Auto-configure (interactive)
fuck-u-code mcp-install
# Or specify target directly
fuck-u-code mcp-install claude
fuck-u-code mcp-install cursor
Claude Code (~/.claude.json or project .mcp.json):
{
"mcpServers": {
"fuck-u-code": {
"command": "fuck-u-code-mcp"
}
}
}
Cursor (.cursor/mcp.json):
{
"mcpServers": {
"fuck-u-code": {
"command": "fuck-u-code-mcp"
}
}
}
Without global install (npx):
{
"mcpServers": {
"fuck-u-code": {
"command": "npx",
"args": ["-y", "eff-u-code-mcp"]
}
}
}
Available Tools
- analyze — Analyze code quality and generate a score report
- ai-review — Run AI-powered code review on the worst-scoring files
Agent Skill
This repo ships an agent skill, fuck-u-code-analysis, that teaches AI agents (Claude Code, Cursor, opencode, etc.) to interpret the analysis output and produce a structured review. It's not shipped via npm — pull it into your agent's skills directory with npx degit (no clone, nothing left behind; requires npm install -g eff-u-code):
# macOS / Linux
npx degit Done-0/fuck-u-code/skills/fuck-u-code-analysis ~/.claude/skills/fuck-u-code-analysis
# Windows (PowerShell)
npx degit Done-0/fuck-u-code/skills/fuck-u-code-analysis "$HOME\.claude\skills\fuck-u-code-analysis"
Above is for Claude Code; for opencode swap .claude for .config/opencode. Add --force if the target exists.
File Exclusion
The tool reads .gitignore files (including nested ones) and follows standard gitignore rules. For additional exclusions, use --exclude or the exclude config field.
Feedback
💬 Share your thoughts Discord: https://discord.gg/9ThNkAFGnT
Contributing
PRs welcome — let's improve fuck-u-code together 🚀
License
MIT
Contact
- [email protected]
- WeChat: l927171598
💡 Discover More
- HotDaily — Drowning in tech noise? A daily digest that curates the best of Hacker News, Lobsters and more, then LLM-summarizes and ranks every story by value — so you catch what matters in minutes.
- Value Realization — Want to build the next breakout product like
fuck-u-code? Use this AI skill to escape the developer's "echo chamber" and accurately validate real user needs. - Hermai.ai — Say goodbye to fragile web scrapers. Instantly turn any website into a clean, stable JSON API without wrestling with DOM changes and anti-scraping protections.
Reviews
No reviews yet. Be the first.
Related
Verification Before Completion
Evidence before assertions, always
Writing Plans
Turn specs into phased implementation plans
Test-Driven Development
Red → green → refactor discipline for any feature or bugfix
mh install skills/fuck-u-code-analysis