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 sherotree/seo-agent-skills --skill url-ranked-keywords-extractorgit clone --depth 1 https://github.com/sherotree/seo-agent-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/sherotree/seo-agent-skills/url-ranked-keywords-extractor)<a href="https://agentmods.dev/skills/sherotree/seo-agent-skills/url-ranked-keywords-extractor"><img src="https://agentmods.dev/badge/skills/sherotree/seo-agent-skills/url-ranked-keywords-extractor/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/sherotree/seo-agent-skills/url-ranked-keywords-extractor"><img src="https://agentmods.dev/badge/skills/sherotree/seo-agent-skills/url-ranked-keywords-extractor.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 | $0.00080 | $0.01646 |
| Opus 5 | $0.00040 | $0.00823 |
| Sonnet 5 | $0.00016 | $0.00329 |
| Haiku 4.5 | $0.00008 | $0.00165 |
Grade A, and why
url-ranked-keywords-extractor 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 11d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
URL Ranked Keywords Extractor
独立 skill：只负责从指定 URL 拉取 Google 排名词。不依赖、不调用其他 SEO/GEO skill。
输入指定网页 URL，通过 DataForSEO API 提取该页面当前在 Google 中排名的关键词及相关指标。
Prerequisites
Prefer .env.local in the project (or git root). Shell export still works and wins.
# .env.local
DATAFORSEO_LOGIN=your_login
DATAFORSEO_PASSWORD=your_password
Do not commit it. Confirm the consuming repo gitignores .env / .env.*. Do not store credentials in the skill directory or paste the file into chat.
Lookup order: existing env → .env.local then .env (cwd up to git root, then the skill dir) → ~/.env.local / ~/.env / ~/.dataforseo.env. Only DATAFORSEO_* keys are read. No extra packages.
Quick Start
python3 scripts/extract_ranked_keywords.py "https://www.uwarp.design/"
python3 scripts/extract_ranked_keywords.py "https://www.uwarp.design/" --mode tool-page
python3 scripts/extract_ranked_keywords.py "uwarp.design" --limit 50
竞品工具页复制场景，优先用 --mode tool-page（自动从 URL slug 解析 {source}-to-{target}）。
Inputs
| 参数 | 类型 | 必填 | 默认 | 说明 |
|---|---|---|---|---|
target_url |
String | 是 | — | 完整 URL 或域名 |
location_code |
Integer | 否 | 2840 |
地区代码（US） |
language_code |
String | 否 | "en" |
搜索语言 |
limit |
Integer | 否 | 100 |
API 最大返回条数 |
sort |
String | 否 | volume |
volume 或 intent |
mode |
String | 否 | full |
full 全量；tool-page 工具页筛选 |
tool_pair |
String | 否 | 从 URL 解析 | 手动覆盖，如 gif,jpg |
max_position |
Integer | 否 | 20（tool-page） |
最大排名位置 |
min_volume |
Integer | 否 | 300（tool-page） |
最小月搜索量 |
min_traffic |
Float | 否 | 1（tool-page） |
最小预估流量 (etv) |
max_kd |
Integer | 否 | 40（tool-page） |
关键词难度上限（KD < 40） |
min_cpc |
Float | 否 | 0.2（tool-page） |
最小 CPC（CPC >= 0.2） |
--mode tool-page 筛选逻辑
- pair 解析：从 path 最后一段匹配
{source}-to-{target}（如/gif-to-jpg→ gif,jpg） - 解析失败：跳过 pair 筛选，仅应用 position / volume / traffic 阈值
- pair 匹配：关键词须同时含源/目标别名；排除反向词（如 gif→jpg 页排除
jpg to gif） - 默认阈值：position ≤ 20，volume ≥ 300，traffic ≥ 1，KD < 40，CPC ≥ 0.2
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.
- 11d ago First seen · 131 lines · 80 tokens per session scan A 6b0fdd9dfed3
url-ranked-keywords-extractor is a skill published in the GitHub repository sherotree/seo-agent-skills (2 stars, last pushed 24d ago), licensed MIT. It adds 80 tokens to every session and 1,646 once invoked, about $0.0004 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 2026-08-31.
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