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-product-databasegit 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-product-database)<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-junglescout-product-database"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-junglescout-product-database/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-product-database"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-junglescout-product-database.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
- 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 171 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 | $0.00198 | $0.03123 |
| Opus 5 | $0.00099 | $0.01562 |
| Sonnet 5 | $0.00040 | $0.00625 |
| Haiku 4.5 | $0.00020 | $0.00312 |
Grade A, and why
linkfox-junglescout-product-database 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 8d 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 — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Jungle Scout — 产品数据库查询
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.
Core Concepts
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：
- 品类选品：按亚马逊主分类筛选特定品类下的商品
- 销量/收入筛选：通过月销量和月收入范围圈定市场规模合适的产品
- 竞争度评估：通过评论数、评分、卖家数量判断竞争激烈程度
- Listing 质量评估：LQS（Listing Quality Score，1-10分）帮助发现优化空间大的产品
- 产品类型过滤：区分 FBA/FBM/AMZ 卖家类型、标准尺寸/超大尺寸
- 新品发现：通过上架日期筛选近期上架的新品
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.
Data Fields
Key Output Fields
| 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 |
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.
- 8d ago First seen · 232 lines · 198 tokens per session scan A 30c1765e5497
linkfox-junglescout-product-database is a skill published in the GitHub repository linkfox-ai/linkfox-skills (101 stars, last pushed 21d ago), licensed MIT. It adds 198 tokens to every session and 3,123 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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