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 review-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/review-seo-page)<a href="https://agentmods.dev/skills/tsingyuai/growth-lab/review-seo-page"><img src="https://agentmods.dev/badge/skills/tsingyuai/growth-lab/review-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/review-seo-page"><img src="https://agentmods.dev/badge/skills/tsingyuai/growth-lab/review-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 | $0.00104 | $0.01044 |
| Opus 5 | $0.00052 | $0.00522 |
| Sonnet 5 | $0.00021 | $0.00209 |
| Haiku 4.5 | $0.00010 | $0.00104 |
Grade A, and why
review-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 13d 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
SEO 页面对抗式审阅
先假定每个区块都需要删除。只有直接帮助目标用户理解、判断或行动的内容才保留。使用 Runtime 的真实浏览器检查实际渲染结果，不能只读源代码。
建立用户任务
先写清：
- 目标用户；
- 搜索词和搜索意图；
- 用户进入页面时的问题；
- 用户离开前应获得的结果；
- 与该结果直接相关的产品动作。
搜索意图错配是最高严重程度的问题。
自上而下审阅
对每个可见区块：
- 写出它对用户任务的具体贡献。
- 删除用户大概率不需要的内容。
- 检查是否增加方法、标准、示例、事实、工具或决策。
- 检查换成相邻页面标题后是否仍能原样成立。
- 检查事实来源、术语、图片相关性和转化压力。
- 检查布局、链接、移动端、无障碍、控制台和失败请求。
对抗测试
- 删除测试：删除后用户没有损失，直接删除。
- 反转测试：一句话的反面显然没人支持，原句没有信息量。
- 换标题测试：内容能原样放进多个相邻页面，说明缺少页面独有信息。
- 去品牌测试：去掉品牌名后只剩宣传态度，删除或改成具体信息。
- 证据测试：非显而易见的事实和数字没有来源，删除或补充一手来源。
- 图文测试：图片不能直接说明相邻文案中的任务或结果，替换或删除。
- 转化测试：合并重复 CTA，保留与搜索任务一致的行动。
现实中的商业产品、课程、社区内容、开源项目和经验做法都可以保留。是否有源码不是参考标准；判断标准是目标用户是否关心，以及它与当前产品的差异会怎样改变内容调性和转化方式。
Metadata
- Title 准确说明页面主题与意图。
- Description 不写成全页目录，删除“本文介绍、页面涵盖、包含、并给出”等概括式开头。
- 不为了接近固定字符数罗列页面区块、关键词或功能。
- 选择一个信息量高的重点，用自然完整的句子讲清。
- 核对 canonical、社交 metadata、结构化数据和 sitemap 与渲染页面一致。
语言与风格
- 使用短句，一句话只表达一个意思。
- 直接写定义和动作，不用例子代替定义。
- 使用领域常用术语，同一概念只保留一个名称。
- 删除比喻、拟人、设问式引入、悬念式开头、生造术语、空泛过渡、排比填充和同义重复。
- 直接写肯定定义，避免“不是……而是……”句式。
- 效果主张必须有对象、条件和具体含义。
- 用户正文中不出现内部实现名、内部编号和工作流黑话。
- 收到术语纠正时，全文直接采用新术语，不保留旧方案和修改过程。
防御性表达
正文不要加入“做不到什么、目前只实现什么、只是 demo、结果不意味着什么”等防御性表达。一个主张没有足够证据时，删除整个主张，不保留一部分再补充局限说明。不要为了披露而引入用户没有搜索的问题。
输出与修复
按严重程度分类：
P0：搜索意图或用户任务错配。P1：低价值、重复、同构、无依据、过度转化或图片错位。P2：拗口、AI 腔、术语漂移、metadata 或呈现问题。
每项写明页面位置、最短识别原文、用户为什么不关心、处理动作和可直接替换的文本。最后给出页面结论：保留、合并、重写或删除。
获得编辑授权后直接实施修改，重新运行产品检查，并再次检查渲染页面。
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.
- 13d ago First seen · 79 lines · 104 tokens per session scan A 4eee9dcdfe1d
review-seo-page is a skill published in the GitHub repository tsingyuai/growth-lab (1,998 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 104 tokens to every session and 1,044 once invoked, about $0.0005 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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