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 linkfox-ai/linkfox-skills --skill linkfox-junglescout-keyword-by-keywordgit clone --depth 1 https://github.com/linkfox-ai/linkfox-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/linkfox-ai/linkfox-skills/linkfox-junglescout-keyword-by-keyword)<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-junglescout-keyword-by-keyword"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-junglescout-keyword-by-keyword/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/linkfox-ai/linkfox-skills/linkfox-junglescout-keyword-by-keyword"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-junglescout-keyword-by-keyword.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 157 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00193 | $0.02890 |
| Opus 5 | $0.00097 | $0.01445 |
| Sonnet 5 | $0.00039 | $0.00578 |
| Haiku 4.5 | $0.00019 | $0.00289 |
Grade A, and why
linkfox-junglescout-keyword-by-keyword 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 9d 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 — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Jungle Scout — 根据关键词扩展关键词信息 (Keyword by Keyword)
This skill expands a seed keyword into a list of related keywords with search volume, trends, PPC bids, ranking difficulty, and other competitive metrics via the Jungle Scout data source, covering 10 Amazon marketplaces.
Core Concepts
Jungle Scout Keyword by Keyword 工具是亚马逊关键词研究的核心工具之一，从一个种子关键词出发，挖掘与之相关的大量关键词及其竞争指标。主要应用场景包括：
- 关键词拓展/发现：输入核心词，获取数百个相关关键词，扩充 listing 关键词库
- 长尾词挖掘：通过
minWordCount筛选 3+ 词的长尾关键词，发现低竞争高转化机会 - PPC 竞价研究：查看精确/广泛匹配 PPC 出价和品牌广告出价，规划广告预算
- 竞争度评估：通过
easeOfRankingScore和organicProductCount判断关键词排名难度 - 趋势分析：查看月度趋势和季度趋势百分比变化，识别增长型关键词
Data Fields
Output Fields (keywordInfoList)
| Field | API Name | Description | Example |
|---|---|---|---|
| 关键词 | name | 关键词名称 | yoga mat thick |
| 站点 | country | 市场代码 | us |
| 精确搜索量 | monthlySearchVolumeExact | 月均精确匹配搜索量 | 45000 |
| 广泛搜索量 | monthlySearchVolumeBroad | 月均广泛匹配搜索量 | 120000 |
| 月度趋势 | monthlyTrend | 环比月度搜索量变化百分比 | 15.3 |
| 季度趋势 | quarterlyTrend | 环比季度搜索量变化百分比 | -5.2 |
| 主类目 | dominantCategory | 搜索结果中占比最高的品类 | Sports & Outdoors |
| 相关性评分 | relevancyScore | 与种子词的相关性评分 | 856 |
| 排名难度 | easeOfRankingScore | 排名容易度评分（越高越容易） | 3 |
| 自然商品数 | organicProductCount | 搜索结果中的自然排名商品数量 | 342 |
| 广告商品数 | sponsoredProductCount | 搜索结果中的广告商品数量 | 28 |
| PPC精确出价 | ppcBidExact | 精确匹配 PPC 建议出价（美元） | 1.25 |
| PPC广泛出价 | ppcBidBroad | 广泛匹配 PPC 建议出价（美元） | 0.89 |
| 品牌广告出价 | spBrandAdBid | Sponsored Brand 广告建议出价（美元） | 2.50 |
| 推荐促销 | recommendedPromotions | 推荐促销赠品数量 | 150 |
| 消耗Token | costToken | 本次调用消耗的 token 数 | 1 |
Supported Marketplaces
10 Amazon marketplaces: us (default), uk, de, in, ca, fr, it, es, mx, jp. When the user does not specify a marketplace, use us.
| 站点 | marketplace 值 | 说明 |
|---|---|---|
| 美国 | us | Amazon.com |
| 英国 | uk | Amazon.co.uk |
| 德国 | de | Amazon.de |
| 印度 | in | Amazon.in |
| 加拿大 | ca | Amazon.ca |
| 法国 | fr | Amazon.fr |
| 意大利 | it | Amazon.it |
| 西班牙 | es | Amazon.es |
| 墨西哥 | mx | Amazon.com.mx |
| 日本 | jp | Amazon.co.jp |
What ships with it
4 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.
- 9d ago First seen · 216 lines · 193 tokens per session scan A e591d968eb2c
linkfox-junglescout-keyword-by-keyword is a skill published in the GitHub repository linkfox-ai/linkfox-skills (101 stars, last pushed 22d ago), licensed MIT. It adds 193 tokens to every session and 2,890 once invoked, about $0.0010 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 2026-09-03.
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