Can the primary AI agent bypass my linting rules?

No. Plankton includes a configuration guardian that uses PreToolUse and Stop hooks to prevent the AI from modifying files like .ruff.toml or biome.json to suppress warnings.

What languages does this skill support?

It provides comprehensive support for Python, TypeScript, JavaScript, Shell, YAML, JSON, TOML, Markdown, and Dockerfiles using industry-standard tools like Ruff, Biome, and ShellCheck.

Does Plankton interfere with other Claude Code plugins?

Plankton is designed to be complementary. While it can overlap with basic formatters, it provides more comprehensive multi-tier routing and configuration protection than standard setups.

How does Plankton automatically fix code errors?

Plankton uses a PostToolUse hook that first runs silent formatters, then collects remaining violations and spawns specialized Claude subprocesses (Haiku, Sonnet, or Opus) to fix specific issues based on their complexity.

Plankton Code Quality

Name: Plankton Code Quality
Author: LuciferDono

byLuciferDono

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Developer Tools

Enforces real-time code quality through automated formatting, linting, and multi-tier AI repairs during every file edit.

Plankton Code Quality is a high-performance enforcement suite for Claude Code that implements a rigorous three-stage architecture for maintaining production-grade code. It automatically formats files, identifies linting violations, and leverages tiered model routing—spawning Haiku, Sonnet, or Opus subprocesses—to resolve complex issues based on their specific severity and type. By utilizing defensive hooks, it prevents the primary AI agent from tampering with linter configurations to bypass checks, while also enforcing modern package managers like uv and bun for a more secure and efficient development environment.

Key Features

01Broad multi-language support including Python, TypeScript, Shell, Docker, and Markdown.

02Tiered AI routing using Haiku for style, Sonnet for logic, and Opus for type systems.

03Three-phase enforcement: Auto-format, Collect Violations, and Delegate + Verify.

04Legacy package manager blocking to enforce modern toolchains like uv and bun.

05Defensive configuration protection to prevent AI from disabling linting rules.

061 GitHub stars

Use Cases

01Preventing AI agents from introducing technical debt or bypassing security linting rules.

02Ensuring consistent code style and architectural standards across large-scale polyglot repositories.

03Automating the remediation of complex type errors and logic violations during the coding process.

Key Features

01Broad multi-language support including Python, TypeScript, Shell, Docker, and Markdown.

02Tiered AI routing using Haiku for style, Sonnet for logic, and Opus for type systems.

03Three-phase enforcement: Auto-format, Collect Violations, and Delegate + Verify.

04Legacy package manager blocking to enforce modern toolchains like uv and bun.

05Defensive configuration protection to prevent AI from disabling linting rules.

061 GitHub stars

Use Cases

01Preventing AI agents from introducing technical debt or bypassing security linting rules.

02Ensuring consistent code style and architectural standards across large-scale polyglot repositories.

03Automating the remediation of complex type errors and logic violations during the coding process.