Growth Lab is an open-source growth system that uses coding agents to understand a product, research markets, execute growth activities, and learn from the results. It is designed for teams that want to manage growth work across channels such as SEO and Xiaohongshu through natural-language collaboration, persistent product context, and recorded outcomes. Catalogue add-ons define parts of its product models, research methods, execution workflows, and agent operation.
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 tsingyuai/growth-lab --skill create-seo-pagegit clone --depth 1 https://github.com/tsingyuai/growth-labWrote 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/tsingyuai/growth-lab/create-seo-page)<a href="https://agentmods.dev/skills/tsingyuai/growth-lab/create-seo-page"><img src="https://agentmods.dev/badge/skills/tsingyuai/growth-lab/create-seo-page/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/tsingyuai/growth-lab/create-seo-page"><img src="https://agentmods.dev/badge/skills/tsingyuai/growth-lab/create-seo-page.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 | $0.00093 | $0.01252 |
| Opus 5.5 | $0.00037 | $0.00501 |
| Sonnet 5.5 | $0.00019 | $0.00250 |
| Haiku 4.5 | $0.00009 | $0.00125 |
Grade A, and why
create-seo-page 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
创建 SEO 页面
把已验证的搜索需求和 SERP 证据转化成产品现有技术栈与设计系统中的完整页面。
开始前完整读取 内容质量与投入度。
输入门槛
必须取得:
- 目标用户、搜索情境和任务;
- 主关键词家族、意图、季节性和需求证据;
- 每个候选词前三到五个相关头部页面;
- 每个头部页面自上而下的区块描述;
- 搜索引擎层、用户层和质量层拆解;
- 跨页面的信息增益缺口;
- 产品能力、期望用户动作和转化路径;
- 品牌、法律、技术和来源约束。
缺少这些证据时,向调用 Model 报告并返回 $research-seo-demand,不得从关键词量、摘要或 URL 列表直接设计页面。
用 SERP 决定页面形态
- 工具意图:提供可运行工具或直接产品动作。
- 模板/资源意图:提供可以浏览、筛选和有效预览的集合。
- 怎么做意图:提供完整教程、具体步骤、示例和判断标准。
- 比较意图:给出明确标准、证据、差异和选择结论。
- 解决方案意图:围绕一个具体问题组织页面,并提供可信证据和真实行动路径。
- 社区内容占据头部:考虑在对应平台提供原生内容,或让页面吸收该形态的真实问题与经验密度。
产品能直接完成任务时使用混合形态:先完整满足信息意图,再在最有用的节点提供产品动作。
先写页面设计文档
代码之前先写叙述性设计文档:
# <URL 路径> 页面设计文档
title: <最终 title>
description: <最终 description>
keywords: <必要时填写>
canonical: <最终 canonical>
## 页面结构(自上而下)
1. 首屏:<一句话描述这一块展示什么>
2. <区块名>:<一句话描述这一块展示什么>
## 数据与引用清单
- <正文中的数字或事实主张>:<内部数据口径或外部一手来源 URL>
页面结构必须来自 winner 页的逐块描述和产品真正有用的差异。每个区块恰好一句话,只写内容与形式:
- 不解释这一块吃什么词;
- 不写排期和上线计划;
- 不论证为什么需要这一块;
- metadata 写最终上线文案,不写备选方案;
- 数据与引用清单必填;无法给出来源的数字和主张从正文删除。
创造信息增益
至少加入能支持用户行动或判断的材料:
- 具体流程、示例和反例;
- 质量标准、rubric 和阈值;
- 真实产品行为或一手证据;
- 对相关数据的原创分析;
- 可复制表格、清单或交付物;
- 权威一手来源;
- 适用条件、边界和失败模式。
资源发现是任务时,提供分类、点评和原始链接,不重新托管无权分发的文件。
撰写页面
- 用答案、工具动作或用户需要做出的选择开头。
- 使用短句和稳定术语。
- 每一节能够独立理解和抽取。
- 在要求转化前先交付有用内容。
- 常识保持简短,把篇幅留给独有方法、标准和证据。
- 显示真实作者、团队或内容责任主体及更新时间。
- 转化动作必须延续用户进入页面时要完成的任务。
Meta description 只选择一个信息量高的判断、方法、限制或结果,用自然完整的句子讲清楚;不要写成页面目录,也不要为了接近固定字数堆砌区块和功能。
添加图片
先写清每张图片必须解释的任务、对象或结果。产品行为优先使用真实浏览器截图;需要生成或编辑的概念图、封面和辅助素材调用 $generate-image。生成时把参考图和真实截图直接作为 reference image 传入模型,不使用 SVG/HTML 模板或“占位符后填充”流程。
逐张检查文字、对象、顺序、场景、裁剪和移动端可读性。使用稳定文件名、明确尺寸、适当压缩和描述性 alt。
实现与验证
遵循产品仓库现有框架、组件、视觉系统、路由和发布流程。按页面需要加入:
- title 与 meta description;
- canonical;
- Open Graph 和社交 metadata;
- 对应 schema.org 结构化数据;
- 单一、清楚的标题层级;
- 上下文内链;
- sitemap;
- 来源链接、作者和更新时间;
- 响应式和无障碍内容。
运行产品已有的格式化、类型、构建、路由、SEO 和无障碍检查,并用 Runtime 的真实浏览器检查最终渲染页面。把实现后的页面交给 $review-seo-page 对抗审阅。
What ships with it
2 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 · 115 lines · 93 tokens per session scan A 54421c263783
create-seo-page is a skill published in the GitHub repository tsingyuai/growth-lab (1,971 stars, last pushed 29d ago), licensed Apache-2.0. It adds 93 tokens to every session and 1,252 once invoked, about $0.0004 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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