Worker that checks DRY/KISS/YAGNI/architecture compliance with quantitative Code Quality Score. Validates architectural decisions via MCP Ref: (1) Optimality (2) Compliance (3) Performance. Reports issues with SEC-, PERF-, MNT-, ARCH-, BP-, OPT- prefixes.
Quickly install ln-511-code-quality-checker AI skill to your development environment via command line
Source: levnikolaevich/claude-code-skills.
Paths: File paths (shared/, references/, ../ln-) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root.
Analyzes Done implementation tasks with quantitative Code Quality Score based on metrics, MCP Ref validation, and issue penalties.
| Cyclomatic Complexity | ≤10 OK, 11-20 warning, >20 fail | -5 (warning), -10 (fail) per function | | Function size | ≤50 lines OK, >50 warning | -3 per function | | File size | ≤500 lines OK, >500 warning | -5 per file | | Nesting depth | ≤3 OK, >3 warning | -3 per instance | | Parameter count | ≤4 OK, >4 warning | -2 per function |
Worker that checks DRY/KISS/YAGNI/architecture compliance with quantitative Code Quality Score. Validates architectural decisions via MCP Ref: (1) Optimality (2) Compliance (3) Performance. Reports issues with SEC-, PERF-, MNT-, ARCH-, BP-, OPT- prefixes. Source: levnikolaevich/claude-code-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-511-code-quality-checkerWorker that checks DRY/KISS/YAGNI/architecture compliance with quantitative Code Quality Score. Validates architectural decisions via MCP Ref: (1) Optimality (2) Compliance (3) Performance. Reports issues with SEC-, PERF-, MNT-, ARCH-, BP-, OPT- prefixes. Source: levnikolaevich/claude-code-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-511-code-quality-checker Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/levnikolaevich/claude-code-skills