refactor-large-files

refactor-large-files is a cursor rule for Cursor from golid-ai/golid. It costs 11 tokens per session (1,457 once invoked), scanned A, original, MIT.

Rules for breaking oversized web route files into smaller components. A route is a file that handles a page or URL, while components are reusable parts of its interface.

In plain words
What is it for?
Refactoring long route files, extracting cards and dialogs, organizing co-located components, and deciding which logic stays in the parent page.
Why use it?
They make large pages easier to maintain by separating display sections and their local state without mixing them with page-level data loading.

Cursor rule for Cursor

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 rules/golid-ai/golid/refactor-large-files
Clone the repo
git clone --depth 1 https://github.com/golid-ai/golid

Made for: Cursor.

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 refactor-large-files

README.md
[![agentmods](https://agentmods.dev/badge/rules/golid-ai/golid/refactor-large-files.svg)](https://agentmods.dev/rules/golid-ai/golid/refactor-large-files)
Your own site
<a href="https://agentmods.dev/rules/golid-ai/golid/refactor-large-files"><img src="https://agentmods.dev/badge/rules/golid-ai/golid/refactor-large-files.svg" alt="Measured on agentmods" height="20"></a>
Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,457 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00011 $0.01457
Opus 5 $0.00005 $0.00728
Sonnet 5 $0.00002 $0.00291
Haiku 4.5 $0.00001 $0.00146

Measured 5d ago against content hash 25feb2a8f13b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

refactor-large-files 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 5d 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.

.cursor/rules/refactor-large-files.mdc · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Refactoring Large Route Files

Thesis: Split route files at 600+ lines. Extracted components receive data via props and callbacks — they never import the parent's signals.

When to Split

Any route file over 600 lines should be split. Signs it's time:

  • Multiple distinct UI sections (KPI bar, table, modal, form)
  • Multiple modal components with their own state
  • Helper functions / sub-components that don't need the page's signals

How to Split

Co-located Components

Create a _components/ directory next to the route file:

routes/(private)/items/
├── index.tsx              ← Page (signals, data fetching, layout)
├── _components/
│   ├── ItemCard.tsx        ← Presentational (receives props)
│   ├── CreateItemModal.tsx ← Modal with own form state
│   └── ItemDetailModal.tsx ← Detail modal with tabs

The _ prefix tells SolidStart this is NOT a route — it's a co-located module.

What Goes Where

Parent route file keeps:

  • Data fetching (onMount, createSignal, createEffect)
  • Page-level signals (loading, error, data, filters, pagination)
  • alive guard and onCleanup
  • Layout structure (Switch/Match for content states)
  • Signal-driven modal open/close logic

Extracted components receive:

  • Data via props (not by importing shared signals)
  • Callbacks via props (onSave, onClose, onDelete)
  • They are presentational — they render what they're given

Example Split

Before (800-line items/index.tsx):

export default function ItemsPage() {
  // 50 lines of signals + fetching
  // 100 lines of ItemCard component
  // 200 lines of CreateItemModal
  // 300 lines of ItemDetailModal
  // 150 lines of page layout
}

After:

// items/index.tsx (200 lines)
import { ItemCard } from "./_components/ItemCard";
import { CreateItemModal } from "./_components/CreateItemModal";
import { ItemDetailModal } from "./_components/ItemDetailModal";

export default function ItemsPage() {
  // signals + fetching + layout
  // passes data to components via props
}

Read the full file on GitHub · 131 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. 5d ago First seen · 131 lines · 11 tokens per session scan A 25feb2a8f13b

Subscribe to this mod's changes

refactor-large-files is a cursor rule published in the GitHub repository golid-ai/golid (40 stars, last pushed 2mo ago), licensed MIT. It adds 11 tokens to every session and 1,457 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.