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 skills add sonature-lab/timsquad --skill tsq-nextjsgit clone --depth 1 https://github.com/sonature-lab/timsquadWrote 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/sonature-lab/timsquad/tsq-nextjs)<a href="https://agentmods.dev/skills/sonature-lab/timsquad/tsq-nextjs"><img src="https://agentmods.dev/badge/skills/sonature-lab/timsquad/tsq-nextjs/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/sonature-lab/timsquad/tsq-nextjs"><img src="https://agentmods.dev/badge/skills/sonature-lab/timsquad/tsq-nextjs.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00050 | $0.00516 |
| Opus 5 | $0.00025 | $0.00258 |
| Sonnet 5 | $0.00010 | $0.00103 |
| Haiku 4.5 | $0.00005 | $0.00052 |
Grade A, and why
tsq-nextjs 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 9d 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.
What it actually says
Next.js 15+ App Router
철학
- Server First — 기본은 서버 컴포넌트
- Progressive Enhancement — 필요할 때만 클라이언트
- Colocation — 관련 파일은 가까이
Server vs Client 판단
| 조건 | 컴포넌트 |
|---|---|
| 데이터 페칭, DB 접근, 민감 정보 | Server (기본) |
| 인터랙션, 이벤트, useState/useEffect | Client ('use client') |
| 브라우저 API 필요 | Client |
| 그 외 | Server |
Rules
컴포넌트
- 기본은 Server Component
- 인터랙션 필요할 때만
'use client' - Client Component는 작게 유지 (leaf에 배치)
- 금지: Server Component에서 useState/useEffect, 불필요한
'use client'
데이터
- Server Component에서 데이터 페칭
- mutation은 Server Actions 사용
- 적절한 캐싱 전략 설정
- 금지: Client Component에서 직접 DB 접근
라우팅
- 파일 기반 라우팅 규칙 준수
- Route Group으로 레이아웃 관리
loading.tsx,error.tsx제공
성능 최적화
next/image: sizes 속성next/font: 폰트 최적화next/link: 프리페칭- 동적 import: 무거운 컴포넌트 지연 로딩
Checklist
| Priority | Item |
|---|---|
| CRITICAL | Server Component 기본 사용 |
| CRITICAL | 'use client' 최소화 |
| HIGH | Server Actions로 mutation |
| HIGH | 적절한 캐싱 전략 |
| MEDIUM | loading.tsx, error.tsx 구현 |
| MEDIUM | Metadata 설정 |
참조
rules/app-router.md— 디렉토리 구조, Server/Client 예시, Data Fetching, Metadata, Loading/Error 패턴
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.
- 9d ago First seen · 65 lines · 50 tokens per session scan A 80641ba02b7e
tsq-nextjs is a skill published in the GitHub repository sonature-lab/timsquad (11 stars, last pushed 9d ago), licensed MIT. It adds 50 tokens to every session and 516 once invoked, about $0.0003 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.
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