Agent skill

Linkfox Junglescout Keyword By Keyword

by linkfox-ai in linkfox-ai/linkfox-skills

Jungle Scout关键词拓展工具,根据种子关键词扩展出相关关键词列表,包含搜索量、趋势、PPC竞价、排名难度等数据,覆盖美国、英国、德国、日本等10个亚马逊站点。当用户提到关键词拓展、关键词挖掘、长尾词挖掘、相关关键词、关键词建议、拓词、PPC竞价研究、关键词竞争度、关键词发现、Jungle Scout关键词、keyword expansion, keyword discovery…

MITAuto-check passedMarketing & SEO

Install Linkfox Junglescout Keyword By Keyword

skills CLI
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-keyword-by-keyword -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install linkfox-ai/linkfox-skills linkfox-junglescout-keyword-by-keyword --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkfox-junglescout-keyword-by-keyword .claude/skills/linkfox-junglescout-keyword-by-keyword && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
linkfox-junglescout-keyword-by-keyword
GitHub stars
107
Used in
1 other repo
Token cost
~1.8k tokens
SKILL.md length
542 words
Files
5 (incl. scripts, references)
Skills in repo
177
Repo updated
First seen
Licence
MIT

At a glance

Jungle Scout关键词拓展工具,根据种子关键词扩展出相关关键词列表,包含搜索量、趋势、PPC竞价、排名难度等数据,覆盖美国、英国、德国、日本等10个亚马逊站点。当用户提到关键词拓展、关键词挖掘、长尾词挖掘、相关关键词、关键词建议、拓词、PPC竞价研究、关键词竞争度、关键词发现、Jungle Scout关键词、keyword expansion, keyword discovery…

  • Works in 5 steps: 站点映射:用户说"美国站"→ us,"日本站"→ jp,"德国站"→… → 种子关键词:原样传入用户提供的关键词(英文小写为佳),仅支持单个关键词 → 结果数量:默认返回数量有限,若用户需要更多结果,设置 needCount → …
  • Tasks that involve Paid advertising
  • SKILL.md covers Core Concepts, Data Fields, Supported Marketplaces and 调用方式, plus 6 more sections
  • Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY

What it does

Linkfox Junglescout Keyword By Keyword is an agent skill from linkfox-ai/linkfox-skills. Jungle Scout关键词拓展工具,根据种子关键词扩展出相关关键词列表,包含搜索量、趋势、PPC竞价、排名难度等数据,覆盖美国、英国、德国、日本等10个亚马逊站点。当用户提到关键词拓展、关键词挖掘、长尾词挖掘、相关关键词、关键词建议、拓词、PPC竞价研究、关键词竞争度、关键词发现、Jungle Scout关键词、keyword expansion, keyword discovery, keyword scout, related keywords, long-tail keywords, keyword suggestions, PPC bid research, keyword competition, seed keyword expansion, keyword mining时触发此技能。即使用户未明确提及"Jungle Scout",只要其需求涉及从一个种子关键词出发找到更多相关关键词及其搜索量、竞争度等指标,也应触发此技能。

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/junglescout_keyword_by_keyword.py`).

It sits in Marketing & SEO, covering Paid advertising. The licence is MIT.

When your agent uses it

  • Tasks that involve Paid advertising

Example prompts

  • “Jungle Scout”
  • “/linkfox-junglescout-keyword-by-keyword”

Requirements

  • Python 3
  • A credential in LINKFOX_AGENT_API_KEY
  • A credential in LINKFOXAGENT_API_KEY

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 站点映射:用户说"美国站"→ us,"日本站"→ jp,"德国站"→ de;未指定时默认 us
  2. 种子关键词:原样传入用户提供的关键词(英文小写为佳),仅支持单个关键词
  3. 结果数量:默认返回数量有限,若用户需要更多结果,设置 needCount
  4. 排序选择:默认按精确搜索量降序 (-monthly_search_volume_exact),根据用户意图切换排序字段
  5. 筛选过滤:充分利用 min/max 参数缩小结果范围,避免返回无关低质量关键词

What it can do on your machine

Read from SKILL.md and the folder at commit 38fef04. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • skill.linkfox.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • LINKFOX_AGENT_API_KEY
    • LINKFOXAGENT_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Linkfox Junglescout Keyword By Keyword loads about 1.8k tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 116 tokens; SKILL.md has 542 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~116
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 542 words, ~1,760 tokens.

Download SKILL.mdSave it as .claude/skills/linkfox-junglescout-keyword-by-keyword/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
linkfox-junglescout-keyword-by-keyword
description
Jungle Scout关键词拓展工具,根据种子关键词扩展出相关关键词列表,包含搜索量、趋势、PPC竞价、排名难度等数据,覆盖美国、英国、德国、日本等10个亚马逊站点。当用户提到关键词拓展、关键词挖掘、长尾词挖掘、相关关键词、关键词建议、拓词、PPC竞价研究、关键词竞争度、关键词发现、Jungle Scout关键词、keyword expansion, keyword discovery, keyword scout, related keywords, long-tail keywords, keyword suggestions, PPC bid research, keyword competition, seed keyword expansion, keyword mining时触发此技能。即使用户未明确提及"Jungle Scout",只要其需求涉及从一个种子关键词出发找到更多相关关键词及其搜索量、竞争度等指标,也应触发此技能。

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)
FieldAPI NameDescriptionExample
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spBrandAdBidSponsored 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TokencostToken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usAmazon.com
英国ukAmazon.co.uk
德国deAmazon.de
印度inAmazon.in
加拿大caAmazon.ca
法国frAmazon.fr
意大利itAmazon.it
西班牙esAmazon.es
墨西哥mxAmazon.com.mx
日本jpAmazon.co.jp

调用方式

  • API 端点:POST /tool-jungle-scout/keywords/by-keyword(完整参数/响应/错误码见 references/api.md)
  • Python 脚本:python scripts/junglescout_keyword_by_keyword.py '<JSON 参数>' [--inline]
  • 成本约束:本工具会消耗算力;同一会话同一参数组合默认只调用一次,脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探;需要继续检索时先向用户说明会产生额外消耗。

输出策略(脚本默认行为):

  • 始终将完整响应写入 <cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-junglescout-keyword-by-keyword-<timestamp>.json(<cwd> 为脚本执行时的工作目录,在 Claude Code 里即当前项目目录;<session> 取自环境变量 SESSION_ID,按用户任务自动聚合;禁止写入 /tmp,当前目录不可写则报错)
  • 响应体 ≤ 8 KB:落盘后把完整 JSON 打印到 stdout
  • 响应体 > 8 KB:落盘后 stdout 只输出摘要(顶层字段、常见计数如 total/costToken、最大列表字段的长度 + 前 3 条样本)
  • 加 --inline 强制全量打印到 stdout(同样落盘)

读数据建议:先看摘要判断是否足够;需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取,避免整份 JSON 进入上下文。

解决认证和算力问题

发生以下异常情况时,采用 references/onboarding.md 引导解决问题:

异常情况
  • 未配置API Key:环境变量未配置 LINKFOX_AGENT_API_KEY,也未配置 LINKFOXAGENT_API_KEY。
  • 响应401或402状态码
  • 响应提示算力或余额不足:消息含"算力余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值",或类似含义的内容。

How to Build Queries

必填参数:marketplace、searchTerms(单个种子关键词字符串)。

Principles for Building API Calls
  1. 站点映射:用户说"美国站"→ us,"日本站"→ jp,"德国站"→ de;未指定时默认 us
  2. 种子关键词:原样传入用户提供的关键词(英文小写为佳),仅支持单个关键词
  3. 结果数量:默认返回数量有限,若用户需要更多结果,设置 needCount
  4. 排序选择:默认按精确搜索量降序 (-monthly_search_volume_exact),根据用户意图切换排序字段
  5. 筛选过滤:充分利用 min/max 参数缩小结果范围,避免返回无关低质量关键词
Common Query Scenarios

1. 扩展种子关键词 — 获取相关关键词列表

json
{
  "marketplace": "us",
  "searchTerms": "yoga mat"
}

2. 挖掘长尾关键词(3+ 词)

json
{
  "marketplace": "us",
  "searchTerms": "yoga mat",
  "minWordCount": 3,
  "needCount": 50
}

3. 低竞争关键词发现

json
{
  "marketplace": "us",
  "searchTerms": "yoga mat",
  "maxOrganicProductCount": 200,
  "minMonthlySearchVolumeExact": 1000,
  "sort": "-ease_of_ranking_score"
}

4. 高搜索量关键词筛选

json
{
  "marketplace": "us",
  "searchTerms": "yoga mat",
  "minMonthlySearchVolumeExact": 10000,
  "sort": "-monthly_search_volume_exact",
  "needCount": 30
}

5. PPC 竞价研究 — 按广泛出价排序

json
{
  "marketplace": "us",
  "searchTerms": "yoga mat",
  "minMonthlySearchVolumeExact": 500,
  "sort": "ppc_bid_broad",
  "needCount": 30
}

6. 德国站广泛搜索量关键词

json
{
  "marketplace": "de",
  "searchTerms": "yogamatte",
  "minMonthlySearchVolumeBroad": 5000,
  "sort": "-monthly_search_volume_broad"
}
Show full SKILL.md (221 more words)Show less

Display Rules

  1. 表格优先:以表格展示关键词列表,核心列包括:关键词、精确搜索量、广泛搜索量、月度趋势、PPC精确出价、排名难度
  2. 按需裁剪列:根据用户意图决定展示列——PPC研究场景侧重出价列,拓词场景侧重搜索量和趋势
  3. 趋势标注:月度趋势和季度趋势为正值标注上升↑,负值标注下降↓
  4. 排名难度解读:easeOfRankingScore 1-3 为困难,4-6 为中等,7-10 为容易
  5. 数据洞察:在表格后提供简要总结,如高搜索量词集中在哪个类目、长尾词的竞争优势等
  6. Error handling: When a query fails, explain the reason based on the error response and suggest adjusting parameters

Important Limitations

  • 单次单关键词:searchTerms 仅接受一个种子关键词,多关键词需拆分多次调用
  • 数据周期:搜索量为月均估算值,非实时数据
  • 站点限制:仅覆盖 10 个亚马逊站点,不含澳大利亚、荷兰等
  • 排序字段固定:仅支持预定义的排序字段,不支持自定义组合排序

User Expression & Scenario Quick Reference

Applicable — 关键词拓展与竞争分析:

User SaysScenario
"帮我拓展这个关键词"种子词扩展
"这个词有哪些相关关键词"相关词挖掘
"找一些长尾词"长尾关键词筛选(minWordCount ≥ 3)
"竞争度低的词有哪些"低竞争关键词(排名难度 + 商品数量筛选)
"这个词的PPC出价多少"PPC 竞价数据查询
"搜索量大的相关词"高搜索量关键词筛选
"德国站有什么相关词"非美国站关键词拓展
"帮我做关键词调研"综合关键词研究

Not applicable — 超出关键词拓展范围:

  • 关键词历史搜索量趋势(需要 keyword-history 工具)
  • ABA 搜索词排名(需要 ABA 工具)
  • 商品搜索或 listing 分析
  • 非亚马逊平台的关键词数据
  • ASIN 反查关键词

Boundary judgment: When users say "关键词", "拓词", or "关键词研究", if they want to expand a seed keyword into a list of related keywords with metrics, this skill applies. If they want to see a single keyword's historical search volume trend over time, use the keyword-history skill instead.

算力消耗规则

按动态规则计费:消耗算力 = 实际查询页数 × 63.75。

重要:本技能的服务按倍数动态计算,可能一次性消耗大量算力,必须提醒用户,由用户决定是否继续。

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

  1. The functionality or purpose described in this skill does not match actual behavior
  2. The skill's results do not match the user's intent
  3. The user expresses dissatisfaction or praise about this skill
  4. Anything you believe could be improved

Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.


For more high-quality, professional cross-border e-commerce skills, visit LinkFox Skills.

© linkfox-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references) in skills/linkfox-junglescout-keyword-by-keyword of linkfox-ai/linkfox-skills.

  • SKILL.md
  • references/api.md
  • references/onboarding.md
  • scripts/junglescout_keyword_by_keyword.py
  • scripts/onboarding.py

Open the folder on GitHubat commit 38fef04

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in linkfox-ai/linkfox-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Linkfox Junglescout Keyword By Keyword next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Linkfox Junglescout Keyword By Keyword compared with similar skills
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Blog GoogleAgriciDaniel/claude-blog2.3k1 repos~3.3kAutomated safety check: NotesMIT
Ad Account Auditoraaron-he-zhu/aaron-marketing-skills2.9k2 repos~2.2kAutomated safety check: PassApache-2.0
Ad Creative Builderaaron-he-zhu/aaron-marketing-skills2.9k2 repos~2.2kAutomated safety check: PassApache-2.0
Ad Test Designeraaron-he-zhu/aaron-marketing-skills2.9k2 repos~2.8kAutomated safety check: PassApache-2.0

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    1688平台以图搜图,通过商品图片精准检索外观相似或同款的1688货源,返回标题、价格、起批量、月销量、复购率、交易评分等核心数据。当用户提到1688以图搜图、1688找货源、以图找同款、跨境找工厂、1688识图、图片找货源、找相似货源、image search 1688、find supplier by…

    107 GitHub starsUsed in 1 repo~2.4k tokens
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  • Linkfox Aba Intelligent Query

    linkfox-ai/linkfox-skills

    亚马逊ABA(品牌分析)搜索词数据的查询与分析,涵盖15个站点近3年的周维度数据。当用户提到ABA数据、亚马逊搜索词分析、关键词挖掘、搜索排名趋势、市场机会分析、季节性关键词、高点击低转化分析、蓝海词发现、竞品关键词分析、ABA data, search term report, keyword mining, search ranking trends, blue ocean…

    107 GitHub starsUsed in 1 repo~2.2k tokens
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  • Linkfox Amazon Alexa Search

    linkfox-ai/linkfox-skills

    通过亚马逊前台的 Alexa 购物助手发起自然语言问答,获取与问题相关的导购回答、推荐商品分组、ASIN 列表,以及可继续追问的问题。每次调用仅支持 1 条 prompt,如需追问须由 agent 总结上下文后拼接新问题发起新请求。可用 url 补充亚马逊页面上下文。当用户提到亚马逊 Alexa、Alexa 购物助手、亚马逊智能助手、AI…

    107 GitHub starsUsed in 1 repo~3k tokens
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  • 亚马逊反向选品:基于历史商业洞察报告沉淀的指标数据池,按 30+ 项商业维度(市场规模与增长、价格区间与档位份额、竞争密度与头部集中度、人群画像如年龄/性别/收入、评论卖点与痛点等)反向筛选亚马逊赛道与关键词。当用户提到反向选品、指标筛选、细分市场反查、蓝海赛道挖掘、低竞争赛道、新人友好赛道、品牌分散市场、痛点切入、卖点反查、定价档位机会、人群画像选品、Amazon niche reverse…

    107 GitHub starsUsed in 1 repo~3k tokens
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  • Linkfox Amazon Product Detail

    linkfox-ai/linkfox-skills

    通过ASIN获取亚马逊商品详细信息,包括标题、图片、五点描述、规格参数、A+页面、价格、评分评论、变体等;可在取得原始HTML时尝试提取Item Highlights(商品亮点)。当用户提到亚马逊商品详情、ASIN查询、商品页面数据、Listing分析、五点描述提取、Item…

    107 GitHub starsUsed in 1 repo~2.5k tokens
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  • Linkfox Amazon Reviews List

    linkfox-ai/linkfox-skills

    按ASIN获取并分析亚马逊商品评论,支持15个站点(含美国站),按星级筛选评论。当用户提到亚马逊评论、美国站评论、商品评价、买家投诉、差评、好评、星级评分、评论分析、评论情感、产品改良建议、Vine评论、已验证购买评论、竞品评论研究、Amazon reviews, US reviews, Amazon.com reviews, product feedback, negative review…

    107 GitHub starsUsed in 1 repo~2.5k tokens
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Categories

Questions about Linkfox Junglescout Keyword By Keyword

What does Linkfox Junglescout Keyword By Keyword do?

Jungle Scout关键词拓展工具,根据种子关键词扩展出相关关键词列表,包含搜索量、趋势、PPC竞价、排名难度等数据,覆盖美国、英国、德国、日本等10个亚马逊站点。当用户提到关键词拓展、关键词挖掘、长尾词挖掘、相关关键词、关键词建议、拓词、PPC竞价研究、关键词竞争度、关键词发现、Jungle Scout关键词、keyword expansion, keyword discovery…. Linkfox Junglescout Keyword By Keyword is an agent skill from linkfox-ai/linkfox-skills.

When should I use Linkfox Junglescout Keyword By Keyword?

Linkfox Junglescout Keyword By Keyword fits situations like: tasks that involve Paid advertising.

How do I install Linkfox Junglescout Keyword By Keyword in Claude Code?

Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-keyword-by-keyword -a claude-code`. Or copy the skill folder (skills/linkfox-junglescout-keyword-by-keyword in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-junglescout-keyword-by-keyword in your project. Claude Code loads it when a task matches its description.

How do I install Linkfox Junglescout Keyword By Keyword in Codex?

Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-keyword-by-keyword -a codex`. Or copy the skill folder (skills/linkfox-junglescout-keyword-by-keyword in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-junglescout-keyword-by-keyword in your project. Codex loads it when a task matches its description.

Can I use Linkfox Junglescout Keyword By Keyword in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-keyword-by-keyword -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkfox-junglescout-keyword-by-keyword, .gemini/skills/linkfox-junglescout-keyword-by-keyword, .github/skills/linkfox-junglescout-keyword-by-keyword and .opencode/skills/linkfox-junglescout-keyword-by-keyword in your project.

What does Linkfox Junglescout Keyword By Keyword need to run?

Going by SKILL.md and its folder, Linkfox Junglescout Keyword By Keyword needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY. Our summary lists: Python 3; A credential in LINKFOX_AGENT_API_KEY; A credential in LINKFOXAGENT_API_KEY.

Does Linkfox Junglescout Keyword By Keyword access the network?

SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.

Is Linkfox Junglescout Keyword By Keyword safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Linkfox Junglescout Keyword By Keyword use?

Linkfox Junglescout Keyword By Keyword is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Linkfox Junglescout Keyword By Keyword use?

About 1.8k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.

What are the alternatives to Linkfox Junglescout Keyword By Keyword?

Skills that share tags, products or a category with Linkfox Junglescout Keyword By Keyword: Ad Creative (LeoYeAI/openclaw-marketing-skills, 1k stars), Blog Google (AgriciDaniel/claude-blog, 2.3k stars), Ad Account Auditor (aaron-he-zhu/aaron-marketing-skills, 2.9k stars) and Ad Creative Builder (aaron-he-zhu/aaron-marketing-skills, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linkfox Junglescout Keyword By Keyword?

linkfox-ai (a GitHub user) maintains it in linkfox-ai/linkfox-skills, which has 107 GitHub stars. The repository holds 177 skills in this directory. The repository was last updated on September 14, 2026.

Source: linkfox-ai/linkfox-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.