code-refactor

A code-refactoring procedure that finds and restructures code to keep it aligned with domain-driven design, an approach that organizes software around business concepts. It covers triggers, size and complexity limits, and common ways to split code.

In plain words
What is it for?
Use it when refactoring, splitting long files or functions, modularizing code, reducing complexity, or reorganizing a domain-driven codebase.
Why use it?
It identifies code that is too large, complex, or crowded and provides a consistent basis for breaking it into smaller parts.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/u9401066/hyperhierarchicalrag/code-refactor
Any agent
npx skills add u9401066/HyperHierarchicalRAG --skill code-refactor
Clone the repo
git clone --depth 1 https://github.com/u9401066/HyperHierarchicalRAG

Made for: Claude Code, Codex.

Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,400 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% 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 $0.00050 $0.02400
Opus 5 $0.00025 $0.01200
Sonnet 5 $0.00010 $0.00480
Haiku 4.5 $0.00005 $0.00240

Measured 2d ago against content hash 6979d046d6ff, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

code-refactor 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

100% identical to code-refactor — 8 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.

.claude/skills/code-refactor/SKILL.md · 352 lines

How it starts

The opening of the file, as written. The whole thing — 352 lines — stays where its author put it; the contents beside it link to each section on GitHub.

程式碼重構技能

描述

主動偵測並執行程式碼重構,維持 DDD 架構和程式碼品質。

觸發條件

  • 「重構這段程式碼」、「refactor」
  • 「這個檔案太長了」
  • 「模組化」、「拆分」
  • 主動觸發:偵測到程式碼超過閾值時

核心原則

📜 依據憲法第 7.3 條「主動重構原則」

重構不是改天換地,而是持續的小步快跑
每次提交都應該比上次更乾淨

閾值設定

📏 長度閾值

類型 警告 強制重構
檔案 > 200 行 > 400 行
類別 > 150 行 > 300 行
函數 > 30 行 > 50 行
目錄檔案數 > 10 個 > 15 個

🔄 複雜度閾值

指標 警告 強制重構
圈複雜度 > 10 > 15
巢狀深度 > 3 層 > 4 層
參數數量 > 4 個 > 6 個
依賴數量 > 5 個 > 8 個

重構模式庫

1️⃣ Extract Method(提取方法)

觸發條件:函數過長、重複邏輯

# Before
def process_order(order):
    # 驗證訂單 (10 行)
    if not order.items:
        raise ValueError("Empty order")
    if order.total < 0:
        raise ValueError("Invalid total")
    # ... 更多驗證

    # 計算價格 (15 行)
    subtotal = sum(item.price * item.qty for item in order.items)
    tax = subtotal * 0.05
    total = subtotal + tax
    # ... 更多計算

    # 儲存訂單 (10 行)
    # ...

# After
def process_order(order):
    self._validate_order(order)
    total = self._calculate_total(order)
    self._save_order(order, total)

def _validate_order(self, order):
    """驗證訂單有效性"""
    if not order.items:
        raise ValueError("Empty order")
    # ...

def _calculate_total(self, order) -> Decimal:
    """計算訂單總金額(含稅)"""
    subtotal = sum(item.price * item.qty for item in order.items)
    return subtotal * Decimal("1.05")

2️⃣ Extract Class(提取類別)

觸發條件:類別職責過多、超過 150 行

# Before: User 類別包含太多職責
class User:
    def __init__(self, name, email, ...):
        self.name = name
        self.email = email
        self.address_line1 = ...
        self.address_line2 = ...
        self.city = ...
        self.postal_code = ...

    def validate_email(self): ...
    def format_address(self): ...
    def calculate_shipping(self): ...

# After: 提取 Address 值物件
@dataclass(frozen=True)
class Address:
    """地址值物件"""
    line1: str
    line2: str | None
    city: str
    postal_code: str

    def format(self) -> str:
        return f"{self.line1}\n{self.city} {self.postal_code}"

class User:
    def __init__(self, name: str, email: Email, address: Address):
        self.name = name
        self.email = email
        self.address = address

Read the full file on GitHub · 352 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 · 352 lines · 0 tokens per session scan A 6979d046d6ff

Subscribe to this mod's changes

code-refactor is a skill published in the GitHub repository u9401066/HyperHierarchicalRAG (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 50 tokens to every session and 2,400 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to code-refactor, differing in 8 lines, and is treated as a copy.

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