User Story Writer
deanpeters/Product-Manager-Skills
Writes user stories in Mike Cohn's format with Gherkin acceptance criteria, turning user needs into development-ready work with testable conditions.
Jungle Scout产品数据库多条件筛选,支持按品类、价格、销量、收入、评论、评分、重量、BSR排名、LQS、卖家类型等维度筛选亚马逊商品,覆盖10个站点。当用户提到亚马逊选品、产品数据库筛选、BSR排名筛选、品类选品、高评分低竞争选品、FBA选品、亚马逊商品搜索、产品筛选、Amazon product database, product research, product…
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-product-database -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-junglescout-product-database --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-product-database .claude/skills/linkfox-junglescout-product-database && rm -rf skills-srcUse ~/.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/
Install the "linkfox-junglescout-product-database" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-junglescout-product-database into .claude/skills/linkfox-junglescout-product-database/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-junglescout-product-database", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-junglescout-product-databaseType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-product-database -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-junglescout-product-database --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/linkfox-junglescout-product-database .agents/skills/linkfox-junglescout-product-database && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkfox-junglescout-product-database" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-junglescout-product-database into .agents/skills/linkfox-junglescout-product-database/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-junglescout-product-database", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-product-database -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-junglescout-product-database --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/linkfox-junglescout-product-database .cursor/skills/linkfox-junglescout-product-database && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "linkfox-junglescout-product-database" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-junglescout-product-database into .cursor/skills/linkfox-junglescout-product-database/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-junglescout-product-database", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/linkfox-ai/linkfox-skills.git --path skills/linkfox-junglescout-product-database--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-product-database -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-junglescout-product-database --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/linkfox-junglescout-product-database .gemini/skills/linkfox-junglescout-product-database && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "linkfox-junglescout-product-database" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-junglescout-product-database into .gemini/skills/linkfox-junglescout-product-database/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-junglescout-product-database", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install linkfox-ai/linkfox-skills linkfox-junglescout-product-databaseInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-product-database -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/linkfox-junglescout-product-database .github/skills/linkfox-junglescout-product-database && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "linkfox-junglescout-product-database" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-junglescout-product-database into .github/skills/linkfox-junglescout-product-database/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-junglescout-product-database", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-product-database -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-junglescout-product-database --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/linkfox-junglescout-product-database .opencode/skills/linkfox-junglescout-product-database && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "linkfox-junglescout-product-database" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-junglescout-product-database into .opencode/skills/linkfox-junglescout-product-database/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-junglescout-product-database", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
linkfox-junglescout-product-databaseJungle Scout产品数据库多条件筛选,支持按品类、价格、销量、收入、评论、评分、重量、BSR排名、LQS、卖家类型等维度筛选亚马逊商品,覆盖10个站点。当用户提到亚马逊选品、产品数据库筛选、BSR排名筛选、品类选品、高评分低竞争选品、FBA选品、亚马逊商品搜索、产品筛选、Amazon product database, product research, product…
Linkfox Junglescout Product Database is an agent skill from linkfox-ai/linkfox-skills. Jungle Scout产品数据库多条件筛选,支持按品类、价格、销量、收入、评论、评分、重量、BSR排名、LQS、卖家类型等维度筛选亚马逊商品,覆盖10个站点。当用户提到亚马逊选品、产品数据库筛选、BSR排名筛选、品类选品、高评分低竞争选品、FBA选品、亚马逊商品搜索、产品筛选、Amazon product database, product research, product filtering, BSR rank filter, category product search, niche product finder, FBA product search, Amazon product discovery, low competition products, Jungle Scout product database时触发此技能。即使用户未明确提及"Jungle Scout"或"产品数据库",只要其需求涉及按多条件筛选亚马逊商品或发现潜力产品,也应触发此技能。
Its SKILL.md is about 2.1k 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_product_database.py`).
It sits in Product & Project Management. The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 38fef04. It shows what the files ask for, not the result of running them.
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.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
skill.linkfox.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
LINKFOX_AGENT_API_KEYLINKFOXAGENT_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Linkfox Junglescout Product Database loads about 2.1k tokens when it runs, and up to ~4.8k if it reads all its reference files. Until then it costs about 119 tokens; SKILL.md has 696 words of instructions outside code blocks.
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.
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.
The full file from linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 696 words, ~2,076 tokens.
.claude/skills/linkfox-junglescout-product-database/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.This skill queries the Jungle Scout Product Database via the LinkFox tool gateway, enabling multi-condition filtering of Amazon products across 10 marketplaces. Sellers can discover products by category, price range, sales volume, revenue, reviews, rating, BSR rank, Listing Quality Score (LQS), seller type, and more.
Jungle Scout 产品数据库是亚马逊商品级别的多维筛选工具,帮助卖家从海量商品中快速锁定目标产品:
Internal paging: The API handles pagination automatically; you specify needCount to control how many results you want, and the backend fetches them across pages internally.
| Field | API Name | Description | Example |
|---|---|---|---|
| 商品标题 | title | 产品标题 | Yoga Mat Non Slip... |
| 品牌 | brand | 品牌名称 | Liforme |
| 主分类 | category | 亚马逊主分类 | Sports & Outdoors |
| 分类路径 | breadcrumbPath | 完整分类层级 | Sports & Outdoors > Exercise & Fitness |
| 价格 | price | 当前售价 (USD) | 29.99 |
| 月销量 | approximate30DayUnitsSold | 近30天预估销量 | 1200 |
| 月收入 | approximate30DayRevenue | 近30天预估收入 (USD) | 35988.00 |
| BSR排名 | productRank | Best Sellers Rank | 3456 |
| 评论数 | reviews | 累计评论数 | 850 |
| 评分 | rating | 平均评分 (1.0-5.0) | 4.5 |
| LQS | listingQualityScore | Listing质量评分 (1-10) | 8 |
| 卖家数量 | numberOfSellers | 在售卖家数 | 3 |
| 卖家类型 | sellerType | 卖家类型 (amz/fba/fbm) | fba |
| 首次上架日期 | dateFirstAvailable | 产品首次上架日期 | 2024-06-15 |
| 重量 | weightValue / weightUnit | 产品重量 | 2.5 lbs |
| 尺寸 | lengthValue / widthValue / heightValue / dimensionsUnit | 产品尺寸 | 24×8×8 inches |
| 父ASIN | parentAsin | 父体ASIN | B0XXXXXXXX |
| Buy Box持有者 | buyBoxOwner | Buy Box 当前持有卖家 | BrandName |
| 费用明细 | feeBreakdown | FBA费用、推荐费、总费用等 | {fbaFee: 5.40, ...} |
| 子分类排名 | subcategoryRanks | 子分类BSR排名列表 | [{subcategory: "Yoga Mats", rank: 12}] |
| 消耗Token | costToken | 本次调用消耗的 token 数 | 5 |
us (United States), uk (United Kingdom), de (Germany), in (India), ca (Canada), fr (France), it (Italy), es (Spain), mx (Mexico), jp (Japan)
Default marketplace is us. Use us when the user doesn't specify a marketplace.
POST /tool-jungle-scout/product-database/query(完整参数/响应/错误码见 references/api.md)python scripts/junglescout_product_database.py '<JSON 参数>' [--inline]输出策略(脚本默认行为):
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-junglescout-product-database-<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)total/costToken、最大列表字段的长度 + 前 3 条样本)--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。
发生以下异常情况时,采用 references/onboarding.md 引导解决问题:
LINKFOX_AGENT_API_KEY,也未配置 LINKFOXAGENT_API_KEY。Only marketplace is required. All other parameters are optional filters — combine them to narrow results.
us,"日本站"→ jp,"德国站"→ de;未指定时默认 usincludeKeywords 支持逗号分隔多个词(标题或ASIN),如 yoga mat,fitness;excludeKeywords 排除含特定词的商品categories 必须使用对应站点的英文标准分类名,如美国站 Sports & Outdoors、Home & Kitchen 等;多个品类逗号分隔minSales=300 表示月销量≥300sort 字段名前加 - 表示降序,如 -sales 按销量从高到低;默认按 name 升序needCount 控制返回结果总数,不设则返回默认数量1. 关键词搜索 + 按销量筛选
{
"marketplace": "us",
"includeKeywords": "yoga mat",
"minSales": 300,
"maxSales": 5000,
"sort": "-sales",
"needCount": 50
}2. 品类 + 价格区间筛选
{
"marketplace": "us",
"categories": "Home & Kitchen",
"minPrice": 15,
"maxPrice": 50,
"minSales": 100,
"sort": "-revenue",
"needCount": 50
}3. 高评分低竞争选品(评论少但评分高)
{
"marketplace": "us",
"categories": "Beauty & Personal Care",
"minRating": 4.0,
"maxReviews": 200,
"minSales": 100,
"sort": "-sales",
"needCount": 50
}4. 仅 FBA 产品筛选
{
"marketplace": "us",
"includeKeywords": "phone stand",
"sellerTypes": "fba",
"productTiers": "standard",
"minSales": 200,
"sort": "-sales",
"needCount": 50
}5. 排除头部品牌 + 发现蓝海机会
{
"marketplace": "us",
"categories": "Sports & Outdoors",
"excludeTopBrands": true,
"minSales": 300,
"maxReviews": 500,
"minRating": 4.0,
"sort": "-sales",
"needCount": 50
}6. 按上架日期发现新品
{
"marketplace": "us",
"categories": "Electronics",
"minUpdatedAt": "2026-01-01",
"minSales": 50,
"sort": "-sales",
"needCount": 50
}imageUrl when displaying individual product detailscategories 值必须与对应站点的标准主分类名完全一致includeKeywords / excludeKeywords 最多各100项,每项最长50字符minRating / maxRating 取值 1.0-5.0minWeight / maxWeight 以磅(pounds)为单位Applicable - Amazon product multi-condition filtering and discovery:
| User Says | Scenario |
|---|---|
| "帮我找月销量500以上的瑜伽垫" | 关键词 + 销量筛选 |
| "美国站厨房品类30美金以下有什么好产品" | 品类 + 价格筛选 |
| "评论少但评分高的蓝海产品" | 高评分低竞争选品 |
| "找FBA标准尺寸的手机支架" | 卖家类型 + 产品尺寸筛选 |
| "排除大品牌的运动品类机会" | 排除头部品牌 |
| "最近新上架的电子产品有哪些卖得好" | 新品发现 |
| "BSR排名1万以内的家居产品" | BSR排名筛选 |
| "LQS低于5分的高销量产品" | Listing优化机会 |
Not applicable - Beyond product database filtering:
Boundary judgment: When users say "选品", "找产品", or "市场调研", if their need is to filter products by specific criteria (price, sales, category, reviews, etc.) from Amazon's product catalog, this skill applies. If they need keyword-level search volume data, advertising insights, or non-Amazon platform data, it does not apply.
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:
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
SKILL.md and 4 other files (scripts, references) in skills/linkfox-junglescout-product-database of linkfox-ai/linkfox-skills.
Open the folder on GitHubat commit 38fef04
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.
Linkfox Junglescout Product Database 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Linkfox Junglescout Product Database this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| User Story Writerdeanpeters/Product-Manager-Skills | 7.2k | 2 repos | ~2.9k | Automated safety check: Pass | Custom licence | |
| Game Changing FeaturesopenstatusHQ/data-table-filters | 2.3k | 3 repos | ~2.1k | Automated safety check: Pass | MIT | |
| CCPM Project Managementautomazeio/ccpm | 8.4k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Convex Create Componentspokvulcan/poker-planning | 115 | 8 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Self Improving Agentfarm-fe/farm | 5.6k | 2 repos | ~3.3k | Automated safety check: Notes | MIT |
deanpeters/Product-Manager-Skills
Writes user stories in Mike Cohn's format with Gherkin acceptance criteria, turning user needs into development-ready work with testable conditions.
openstatusHQ/data-table-filters
Find 10x product opportunities and high-leverage improvements.
automazeio/ccpm
Runs a spec-driven workflow from PRD to epic to GitHub issues to parallel agents, with status, standup and blocked-work reports from bundled scripts.
spokvulcan/poker-planning
Builds reusable Convex components with isolated tables and app-facing APIs.
farm-fe/farm
A universal self-improving agent that learns from ALL skill experiences.
garrytan/gstack
Builds a weekly engineering retrospective from git history: commit counts, per-person contributions, work patterns and code quality numbers over a chosen window.
linkfox-ai/linkfox-skills
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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…
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…
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…
Categories
Jungle Scout产品数据库多条件筛选,支持按品类、价格、销量、收入、评论、评分、重量、BSR排名、LQS、卖家类型等维度筛选亚马逊商品,覆盖10个站点。当用户提到亚马逊选品、产品数据库筛选、BSR排名筛选、品类选品、高评分低竞争选品、FBA选品、亚马逊商品搜索、产品筛选、Amazon product database, product research, product…. Linkfox Junglescout Product Database is an agent skill from linkfox-ai/linkfox-skills.
Linkfox Junglescout Product Database fits situations like: product & Project Management work in your project.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-product-database -a claude-code`. Or copy the skill folder (skills/linkfox-junglescout-product-database in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-junglescout-product-database in your project. Claude Code loads it when a task matches its description.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-product-database -a codex`. Or copy the skill folder (skills/linkfox-junglescout-product-database in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-junglescout-product-database in your project. Codex loads it when a task matches its description.
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-product-database -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-product-database, .gemini/skills/linkfox-junglescout-product-database, .github/skills/linkfox-junglescout-product-database and .opencode/skills/linkfox-junglescout-product-database in your project.
Going by SKILL.md and its folder, Linkfox Junglescout Product Database 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.
SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.
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.
Linkfox Junglescout Product Database is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.3k 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 2.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Linkfox Junglescout Product Database: User Story Writer (deanpeters/Product-Manager-Skills, 7.2k stars), Game Changing Features (openstatusHQ/data-table-filters, 2.3k stars), CCPM Project Management (automazeio/ccpm, 8.4k stars) and Convex Create Component (spokvulcan/poker-planning, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.