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.
git clone --depth 1 https://github.com/WangTingYeYe/llm-agent-studyWrote 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/rules/wangtingyeye/llm-agent-study/nextjs)<a href="https://agentmods.dev/rules/wangtingyeye/llm-agent-study/nextjs"><img src="https://agentmods.dev/badge/rules/wangtingyeye/llm-agent-study/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/rules/wangtingyeye/llm-agent-study/nextjs"><img src="https://agentmods.dev/badge/rules/wangtingyeye/llm-agent-study/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 | $0.00000 | $0.00298 |
| Opus 5.5 | $0.00000 | $0.00119 |
| Sonnet 5.5 | $0.00000 | $0.00060 |
| Haiku 4.5 | $0.00000 | $0.00030 |
Grade A, and why
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 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.
What it actually says
description: 该规则解释了 Next.js 全栈开发的约定和最佳实践。 globs: /*.js,/.jsx,**/.ts,**/*.tsx alwaysApply: false
Next.js 规则
- 使用 App Router 结构，在路由目录中使用
page.tsx文件。 - 客户端组件必须在文件顶部明确标记
'use client'。 - 目录名使用 kebab-case（例如
components/auth-form），组件文件使用 PascalCase。 - 优先使用命名导出而非默认导出，即使用
export function Button() { /* ... */ }而不是export default function Button() { /* ... */ }。 - 尽量减少
'use client'指令：- 保持大多数组件为 React Server Components (RSC)
- 仅在需要交互性时使用客户端组件，并用带有 fallback UI 的
Suspense包装 - 为交互元素创建小型客户端组件包装器
- 尽可能避免不必要的
useState和useEffect：- 使用服务器组件进行数据获取
- 使用 React Server Actions 处理表单
- 使用 URL 搜索参数实现可共享状态
- 使用
nuqs管理 URL 搜索参数状态
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 · 26 lines · 0 tokens per session scan A 0775479225b8
nextjs is a cursor rule published in the GitHub repository WangTingYeYe/llm-agent-study (4 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 298 tokens. 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 2026-08-31.
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