What is Plankton Code Quality?

It is a write-time enforcement system for Claude Code that runs formatters and linters on every file edit, using AI subprocesses to automatically fix violations the main agent might miss.

Does this replace my CI/CD linting?

It complements CI/CD by catching and fixing errors locally at 'write-time,' ensuring that only clean, formatted code is ever committed to your repository.

Can AI agents disable my linting rules to pass checks?

No. The skill includes a Config Tamper Guard that uses PreToolUse hooks and git diff detection to block and flag unauthorized changes to linter configuration files.

How does it handle complex code errors?

It uses tiered model routing, sending simple style issues to Claude Haiku and complex logic or type errors to Claude Sonnet or Opus for higher-reasoning fixes.

Which programming languages are supported?

Plankton supports a wide range of languages including Python, TypeScript, JavaScript, Shell, YAML, JSON, TOML, Markdown, and Dockerfile.

Plankton Code Quality

Name: Plankton Code Quality
Author: nbossn

bynbossn

0•

Herramientas para Desarrolladores

Enforces professional code standards at write-time through automated formatting, multi-language linting, and AI-powered remediation hooks.

Plankton Code Quality is a sophisticated enforcement system for Claude Code designed to maintain high codebase health during the development process. It operates via a three-phase architecture that silently auto-formats files, collects unfixable violations into structured data, and then spawns dedicated Claude subprocesses to remediate complex logic or type errors. By utilizing tiered model routing—dispatching Haiku for style and Opus for deep reasoning—it ensures that quality issues are resolved transparently. Additionally, it features a unique 'Config Tamper Guard' that prevents AI agents from disabling linting rules to bypass checks, making it an essential tool for teams requiring strict architectural compliance across Python, TypeScript, Shell, and other major environments.

Características Principales

01Three-phase verification loop: Auto-format, Collect Violations, and AI-Remediate.

02Support for 8+ languages including Python (Ruff), TypeScript (Biome), and Shell (Shellcheck).

03Strict package manager enforcement to modernize workflows (e.g., forcing uv and bun).

04Config Tamper Guard to prevent agents from modifying linter settings to bypass errors.

050 GitHub stars

06Tiered model routing that matches violation complexity to specific AI model capabilities.

Casos de Uso

01Automating consistent code styling and linting across large, multi-language repositories.

02Protecting codebase integrity by preventing AI agents from 'gaming' the system with config changes.

03Accelerating refactoring tasks by letting background subprocesses handle tedious import and style fixes.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nbossn/claude-code-base plankton-code-quality

For use in Claude.ai and ChatGPT

Características Principales

01Three-phase verification loop: Auto-format, Collect Violations, and AI-Remediate.

02Support for 8+ languages including Python (Ruff), TypeScript (Biome), and Shell (Shellcheck).

03Strict package manager enforcement to modernize workflows (e.g., forcing uv and bun).

04Config Tamper Guard to prevent agents from modifying linter settings to bypass errors.

050 GitHub stars

06Tiered model routing that matches violation complexity to specific AI model capabilities.

Casos de Uso

01Automating consistent code styling and linting across large, multi-language repositories.

02Protecting codebase integrity by preventing AI agents from 'gaming' the system with config changes.

03Accelerating refactoring tasks by letting background subprocesses handle tedious import and style fixes.