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 kennyzir/7deer_skills --skill google-trends-to-pagesgit clone --depth 1 https://github.com/kennyzir/7deer_skillsWrote 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/kennyzir/7deer_skills/google-trends-to-pages)<a href="https://agentmods.dev/skills/kennyzir/7deer_skills/google-trends-to-pages"><img src="https://agentmods.dev/badge/skills/kennyzir/7deer_skills/google-trends-to-pages/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/kennyzir/7deer_skills/google-trends-to-pages"><img src="https://agentmods.dev/badge/skills/kennyzir/7deer_skills/google-trends-to-pages.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 | $0.00047 | $0.01711 |
| Opus 5 | $0.00023 | $0.00856 |
| Sonnet 5 | $0.00009 | $0.00342 |
| Haiku 4.5 | $0.00005 | $0.00171 |
Grade A, and why
google-trends-to-pages 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Trends to Pages - 搜索趋势驱动的页面生成器
这个 skill 提供从 Google Trends 数据到 SEO 页面规划的两个代码模块：规则式关键词分析和 TypeScript 页面结构生成。它输出内容骨架，不会直接生成可部署页面。
核心价值主张
当你发现一个搜索量暴涨的关键词（如 "yba codes" +400%），这个 skill 能快速给出意图、优先级、建议字数、Schema 类型和页面内容骨架，供项目代码继续实现。
工作流程
1. 输入数据格式
interface TrendKeyword {
query: string; // "how to get fuga in jujutsu infinite"
searchVolume: number; // 相对搜索量 (0-100)
growthRate: string; // "+90%"
category: string; // "Gaming"
relatedQueries: string[]; // 相关搜索词
}
2. 搜索意图自动分类
使用 resources/intent_classifier.py 将关键词分类为：
- Transactional (交易型): "codes", "buy", "download" → 生成代码页/工具页
- Informational (信息型): "how to", "what is", "guide" → 生成深度指南
- Navigational (导航型): "wiki", "tier list", "discord" → 生成聚合页
- Commercial (商业调查型): "best", "vs", "review" → 生成对比页
3. 页面模板选择
resources/page_structure_generator.ts 根据意图选择结构生成函数：
Transactional → generateCodesPageStructure
Informational → generateGuidePageStructure
Navigational → generateComparisonPageStructure（聚合页结构）
Commercial → generateComparisonPageStructure
4. 内容结构生成
自动生成页面的：
- H1/H2/H3 标题层级
- Meta Title & Description
- FAQ 部分 (基于 "People Also Ask")
- 内部链接建议
- 相关内容推荐
5. Schema 注入
根据页面类型自动注入：
- FAQPage Schema (代码页)
- HowTo Schema (指南页)
- ItemList Schema (排行榜)
- Article Schema (深度内容)
使用示例
场景 1: 发现新的代码搜索趋势
# 输入
Keyword: "yba codes"
Growth: +400%
Intent: Transactional
# AI 自动生成
- /yba/page.tsx (完整的代码页面)
- 包含 Active/Expired 代码分区
- 一键复制按钮
- FAQPage Schema
- 多语言支持 (codigos, коды)
场景 2: 发现新的指南需求
# 输入
Keyword: "how to get fuga in jujutsu infinite"
Growth: +90%
Intent: Informational
# AI 自动生成
- /handbook/how-to-get-fuga/page.tsx
- 5 步骤详细指南
- HowTo Schema
- YouTube 视频嵌入位置
- Reddit 讨论链接
- 相关内部链接 (Domain Expansion, Maximum Scroll)
关键文件说明
resources/intent_classifier.py
使用确定性关键词规则分类搜索意图，并根据搜索量和增长率计算优先级：
def classify_intent(keyword: str) -> str:
"""
基于关键词特征判断搜索意图
规则:
- 包含 "codes", "free", "redeem" → Transactional
- 包含 "how to", "guide", "tutorial" → Informational
- 包含 "best", "top", "vs" → Commercial
- 包含 "wiki", "list", "all" → Navigational
"""
# 实现逻辑...
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.
- 4d ago Changed · -44 lines · +6 tokens per session 91f395f8daee
- 13d ago First seen · 265 lines · 41 tokens per session scan A 23d956923bd2
google-trends-to-pages is a skill published in the GitHub repository kennyzir/7deer_skills (313 stars, last pushed 4d ago), licensed MIT. It adds 47 tokens to every session and 1,711 once invoked, about $0.0002 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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