plankton-code-quality

plankton-code-quality is a skill for Claude Code from multiplex-ai/muggle-ai-teams. It costs 34 tokens per session (2,087 once invoked), scanned A, a copy of plankton-code-quality, MIT.

A file-edit hook that formats and checks code whenever an agent changes a file, then asks Claude to fix violations that remain. It supports several languages and file formats.

In plain words
What is it for?
Use it to apply formatters, run linters, collect their messages, and repair issues in Python, TypeScript, shell scripts, YAML, JSON, TOML, Markdown, and Dockerfiles.
Why use it?
It catches style and lint problems during editing instead of waiting for a commit or review. It also reduces the chance that an agent changes lint settings to hide a problem.

Skill for Claude Code

Written for Claude Code: PostToolUse hook event. Also seen: reads .claude/ paths; mentions Claude Code.

Part of the muggle-ai-teams plugin — 166 skills, 55 commands, 30 agents, 4 hooks shipped together

Good fit Use it to apply formatters, run linters, collect their messages, and repair issues in Python, TypeScript, shell scripts, YAML, JSON, TOML, Markdown, and Dockerfiles.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/multiplex-ai/muggle-ai-teams/plankton-code-quality
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add multiplex-ai/muggle-ai-teams --skill plankton-code-quality
Clone the repo
git clone --depth 1 https://github.com/multiplex-ai/muggle-ai-teams

Made for: Claude Code.

Or install muggle-ai-teams, the plugin that ships this one along with the rest of its 166 skills, 55 commands, 30 agents, 4 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for plankton-code-quality

README.md
[![agentmods](https://agentmods.dev/badge/skills/multiplex-ai/muggle-ai-teams/plankton-code-quality/github.svg)](https://agentmods.dev/skills/multiplex-ai/muggle-ai-teams/plankton-code-quality)
Your own site
<a href="https://agentmods.dev/skills/multiplex-ai/muggle-ai-teams/plankton-code-quality"><img src="https://agentmods.dev/badge/skills/multiplex-ai/muggle-ai-teams/plankton-code-quality/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for plankton-code-quality

Your own site · 80×15
<a href="https://agentmods.dev/skills/multiplex-ai/muggle-ai-teams/plankton-code-quality"><img src="https://agentmods.dev/badge/skills/multiplex-ai/muggle-ai-teams/plankton-code-quality.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,087 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 94% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.02087
Opus 5.5 $0.00014 $0.00835
Sonnet 5.5 $0.00007 $0.00417
Haiku 4.5 $0.00003 $0.00209

Measured 2d ago against content hash e75be8a685f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

plankton-code-quality scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

94% identical to plankton-code-quality — 16 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/plankton-code-quality/SKILL.md · 240 lines

How it starts

The opening of the file, as written. The whole thing — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plankton Code Quality Skill

Integration reference for Plankton (credit: @alxfazio), a write-time code quality enforcement system for Claude Code. Plankton runs formatters and linters on every file edit via PostToolUse hooks, then spawns Claude subprocesses to fix violations the agent didn't catch.

When to Use

  • You want automatic formatting and linting on every file edit (not just at commit time)
  • You need defense against agents modifying linter configs to pass instead of fixing code
  • You want tiered model routing for fixes (Haiku for simple style, Sonnet for logic, Opus for types)
  • You work with multiple languages (Python, TypeScript, Shell, YAML, JSON, TOML, Markdown, Dockerfile)

How It Works

Three-Phase Architecture

Every time Claude Code edits or writes a file, Plankton's multi_linter.sh PostToolUse hook runs:

Phase 1: Auto-Format (Silent)
├─ Runs formatters (ruff format, biome, shfmt, taplo, markdownlint)
├─ Fixes 40-50% of issues silently
└─ No output to main agent

Phase 2: Collect Violations (JSON)
├─ Runs linters and collects unfixable violations
├─ Returns structured JSON: {line, column, code, message, linter}
└─ Still no output to main agent

Phase 3: Delegate + Verify
├─ Spawns claude -p subprocess with violations JSON
├─ Routes to model tier based on violation complexity:
│   ├─ Haiku: formatting, imports, style (E/W/F codes) — 120s timeout
│   ├─ Sonnet: complexity, refactoring (C901, PLR codes) — 300s timeout
│   └─ Opus: type system, deep reasoning (unresolved-attribute) — 600s timeout
├─ Re-runs Phase 1+2 to verify fixes
└─ Exit 0 if clean, Exit 2 if violations remain (reported to main agent)

What the Main Agent Sees

Scenario Agent sees Hook exit
No violations Nothing 0
All fixed by subprocess Nothing 0
Violations remain after subprocess [hook] N violation(s) remain 2
Advisory (duplicates, old tooling) [hook:advisory] ... 0

The main agent only sees issues the subprocess couldn't fix. Most quality problems are resolved transparently.

Read the full file on GitHub · 240 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 240 lines · 34 tokens per session scan A e75be8a685f2

Subscribe to this mod's changes

plankton-code-quality is a skill published in the GitHub repository multiplex-ai/muggle-ai-teams (2 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 2,087 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to plankton-code-quality, differing in 16 lines, and is treated as a copy.

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