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.
npx agentmods add skills/mturac/everything-openai-codex/frontend-patternsnpx skills add mturac/everything-openai-codex --skill frontend-patternsgit clone --depth 1 https://github.com/mturac/everything-openai-codexWrote 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/mturac/everything-openai-codex/frontend-patterns)<a href="https://agentmods.dev/skills/mturac/everything-openai-codex/frontend-patterns"><img src="https://agentmods.dev/badge/skills/mturac/everything-openai-codex/frontend-patterns.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00024 | $0.03773 |
| Opus 5 | $0.00012 | $0.01886 |
| Sonnet 5 | $0.00005 | $0.00755 |
| Haiku 4.5 | $0.00002 | $0.00377 |
Grade A, and why
frontend-patterns scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
fetch(url) This is a copy
91% identical to frontend-patterns — 30 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.
How it starts
The opening of the file, as written. The whole thing — 648 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Development Patterns
Modern frontend patterns for React, Next.js, and performant user interfaces.
When to Activate
- Building React components (composition, props, rendering)
- Managing state (useState, useReducer, Zustand, Context)
- Implementing data fetching (SWR, React Query, server components)
- Optimizing performance (memoization, virtualization, code splitting)
- Working with forms (validation, controlled inputs, Zod schemas)
- Handling client-side routing and navigation
- Building accessible, responsive UI patterns
Privacy and Data Boundaries
Frontend examples should use synthetic or domain-generic data. Do not collect, log, persist, or display credentials, access tokens, SSNs, health data, payment details, private emails, phone numbers, or other sensitive personal data unless the user explicitly requests a scoped implementation with appropriate validation, redaction, and access controls.
Avoid adding analytics, tracking pixels, third-party scripts, or external data sinks without explicit approval. When handling user data, prefer least-privilege APIs, client-side redaction before logging, and server-side validation for every boundary.
Component Patterns
Composition Over Inheritance
// PASS: GOOD: Component composition
interface CardProps {
children: React.ReactNode
variant?: 'default' | 'outlined'
}
export function Card({ children, variant = 'default' }: CardProps) {
return <div className={`card card-${variant}`}>{children}</div>
}
export function CardHeader({ children }: { children: React.ReactNode }) {
return <div className="card-header">{children}</div>
}
export function CardBody({ children }: { children: React.ReactNode }) {
return <div className="card-body">{children}</div>
}
// Usage
<Card>
<CardHeader>Title</CardHeader>
<CardBody>Content</CardBody>
</Card>
Compound Components
interface TabsContextValue {
activeTab: string
setActiveTab: (tab: string) => void
}
const TabsContext = createContext<TabsContextValue | undefined>(undefined)
export function Tabs({ children, defaultTab }: {
children: React.ReactNode
defaultTab: string
}) {
const [activeTab, setActiveTab] = useState(defaultTab)
return (
<TabsContext.Provider value={{ activeTab, setActiveTab }}>
{children}
</TabsContext.Provider>
)
}
export function TabList({ children }: { children: React.ReactNode }) {
return <div className="tab-list">{children}</div>
}
export function Tab({ id, children }: { id: string, children: React.ReactNode }) {
const context = useContext(TabsContext)
if (!context) throw new Error('Tab must be used within Tabs')
return (
<button
className={context.activeTab === id ? 'active' : ''}
onClick={() => context.setActiveTab(id)}
>
{children}
</button>
)
}
// Usage
<Tabs defaultTab="overview">
<TabList>
<Tab id="overview">Overview</Tab>
<Tab id="details">Details</Tab>
</TabList>
</Tabs>
What ships with it
1 file 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.
- 3d ago First seen · 648 lines · 24 tokens per session scan A 8e7d5c8c5ed9
frontend-patterns is a skill published in the GitHub repository mturac/everything-openai-codex (90 stars, last pushed 10d ago), licensed MIT. It adds 24 tokens to every session and 3,773 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 91% identical to frontend-patterns, differing in 30 lines, and is treated as a copy.
Other skills, from other repositories
architecture-diagram
Dark-themed SVG architecture/cloud/infra diagrams as HTML.
browser_cdp
通过 Chrome DevTools Protocol (CDP) 连接已运行的浏览器,或扫描本机 CDP 端口,用于远程调试与多工具共享浏览器实例。.
validate-harness
Release-readiness umbrella check for a scaffolded harness — runs doctor, witness verify, hardcoded-path scan, MCP server config, and GCP Secret Manager validation in one shot. Exits non-zero if any sub-check fails.
debug
Interactive debugging workflow with hypothesis-driven probe loop. Use when: unknown bugs, script errors, silent failures, troubleshooting. Not for: known bugs (use bug-fix), GitHub issue analysis (use issue-analyze), code understanding (use code-explore). Output: debug report with probe journal + root cause + fix.
deep-review
Parallel competency-based code review. Launches independent Agent reviewers per competency (security, performance, architecture, database, concurrency, error-handling, frontend, testing), each with a focused checklist and isolated context. Synthesizes findings into unified report with FIX/DEFER/ACCEPT triage. Use…
quality-gate
Production quality gate for agent sessions. Activates on session stop to evaluate work quality using 4-dimension weighted scoring (completeness, honesty, deferral ratio, work evidence). Catches rationalization patterns, verifies test claims, and generates handoff artifacts for session continuity. Use sprint contracts…