What languages does Plankton Code Quality support?

It provides comprehensive support for Python, TypeScript, JavaScript, Shell (sh/bash), YAML, JSON, TOML, Markdown, and Dockerfiles.

How does Plankton affect the Claude Code user experience?

Most fixes happen silently. The main agent only receives a report if violations remain after the automated AI sub-process attempts to fix them, keeping your workspace clean.

Can agents disable linter rules to pass checks?

No, Plankton includes a 'Config Tamper Guard' that uses PreToolUse and Stop hooks to prevent and detect unauthorized changes to linter configuration files.

How does tiered model routing work?

Plankton intelligently routes issues based on complexity: Haiku handles formatting and style, Sonnet manages logic and complexity, while Opus is used for deep type-system reasoning.

Does this skill require external tools?

Yes, it relies on standard industry linters and formatters like Ruff, Biome, Shellcheck, and Hadolint, which should be installed on your local environment.

Plankton Code Quality

Name: Plankton Code Quality
Author: hieuck

byhieuck

0•

Developer Tools

Automates multi-language code formatting, linting, and AI-powered error correction during the development process.

Plankton Code Quality is a high-performance enforcement system for Claude Code designed to ensure every file edit meets strict quality standards. It employs a sophisticated three-phase architecture that first auto-formats code silently, then identifies remaining violations, and finally delegates complex fixes to specialized Claude sub-processes (Haiku, Sonnet, or Opus) based on the severity of the issue. By protecting configuration files from being tampered with and enforcing the use of modern package managers like 'uv' and 'bun', Plankton maintains high-fidelity codebases across Python, TypeScript, Shell, and more, allowing developers to focus on logic while the system handles the architectural cleanup.

Key Features

010 GitHub stars

02Automatic enforcement of modern package managers like 'uv' and 'bun'

03Tiered AI model routing for efficient violation fixing (Haiku/Sonnet/Opus)

04Silent three-phase architecture to minimize main agent distractions

05Multi-language support for Python, TypeScript, Shell, YAML, and Docker

06Anti-tamper protection for linter configuration files

Use Cases

01Preventing AI agents from bypassing linting rules during automated refactoring

02Enforcing consistent code style and quality across polyglot repositories

03Automating the resolution of complex type errors and security vulnerabilities

Key Features

010 GitHub stars

02Automatic enforcement of modern package managers like 'uv' and 'bun'

03Tiered AI model routing for efficient violation fixing (Haiku/Sonnet/Opus)

04Silent three-phase architecture to minimize main agent distractions

05Multi-language support for Python, TypeScript, Shell, YAML, and Docker

06Anti-tamper protection for linter configuration files

Use Cases

01Preventing AI agents from bypassing linting rules during automated refactoring

02Enforcing consistent code style and quality across polyglot repositories

03Automating the resolution of complex type errors and security vulnerabilities