Borrowing it
Nothing to install: this file belongs to PageAI-Pro/ralph-loop. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/PageAI-Pro/ralph-loop/main/.agent/skills/component-refactoring/SKILL.mdgit clone --depth 1 https://github.com/PageAI-Pro/ralph-loopWrote 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.
[](https://agentmods.dev/skills/pageai-pro/ralph-loop/component-refactoring)<a href="https://agentmods.dev/skills/pageai-pro/ralph-loop/component-refactoring"><img src="https://agentmods.dev/badge/skills/pageai-pro/ralph-loop/component-refactoring/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.
<a href="https://agentmods.dev/skills/pageai-pro/ralph-loop/component-refactoring"><img src="https://agentmods.dev/badge/skills/pageai-pro/ralph-loop/component-refactoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00049 | $0.01785 |
| Opus 5.5 | $0.00020 | $0.00714 |
| Sonnet 5.5 | $0.00010 | $0.00357 |
| Haiku 4.5 | $0.00005 | $0.00178 |
Grade A, and why
component-refactoring 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Component Refactoring Skill
Refactor high-complexity React components with the patterns and workflow below.
Core Refactoring Patterns
Pattern 1: Extract Custom Hooks
When: Component has complex state management, multiple useState/useEffect, or business logic mixed with UI.
Dify Convention: Place hooks in a hooks/ subdirectory or alongside the component as use-<feature>.ts.
// ❌ Before: Complex state logic in component
const Configuration: FC = () => {
const [modelConfig, setModelConfig] = useState<ModelConfig>(...)
const [datasetConfigs, setDatasetConfigs] = useState<DatasetConfigs>(...)
const [completionParams, setCompletionParams] = useState<FormValue>({})
// 50+ lines of state management logic...
return <div>...</div>
}
// ✅ After: Extract to custom hook
// hooks/use-model-config.ts
export const useModelConfig = (appId: string) => {
const [modelConfig, setModelConfig] = useState<ModelConfig>(...)
const [completionParams, setCompletionParams] = useState<FormValue>({})
// Related state management logic here
return { modelConfig, setModelConfig, completionParams, setCompletionParams }
}
// Component becomes cleaner
const Configuration: FC = () => {
const { modelConfig, setModelConfig } = useModelConfig(appId)
return <div>...</div>
}
Pattern 2: Extract Sub-Components
When: Single component has multiple UI sections, conditional rendering blocks, or repeated patterns.
// ❌ Before: Monolithic JSX with multiple sections
const AppInfo = () => {
return (
<div>
{/* 100 lines of header UI */}
{/* 100 lines of operations UI */}
{/* 100 lines of modals */}
</div>
)
}
// ✅ After: Split into focused components
// app-info/
// ├── index.tsx (orchestration only)
// ├── app-header.tsx (header UI)
// ├── app-operations.tsx (operations UI)
// └── app-modals.tsx (modal management)
const AppInfo = () => {
const { showModal, setShowModal } = useAppInfoModals()
return (
<div>
<AppHeader appDetail={appDetail} />
<AppOperations onAction={handleAction} />
<AppModals show={showModal} onClose={() => setShowModal(null)} />
</div>
)
}
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 248 lines · 49 tokens per session scan A 36b7cd759a30
component-refactoring is a skill published in the GitHub repository PageAI-Pro/ralph-loop (328 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 1,785 once invoked, about $0.0002 per session on Opus 5.5. 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.
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