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Jiimore-细分市场评论

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亚马逊细分市场评论分析与消费者情感洞察。当用户提到细分市场评论分析、消费者情感、用户痛点、客户反馈洞察、评论主题分析、好评差评拆解、细分市场舆情挖掘、产品评论情感分析、niche market reviews, consumer sentiment, customer pain points, review topic analysis, positive/negative reviews, opinion mining, Jiimore data时触发此技能。即使用户未明确提及"细分市场评论"，只要其需求涉及分析亚马逊细分市场中的消费者评论或理解细分市场层面的客户情感，也应触发此技能。 Skill: Jiimore-细分市场评论 Owner: linkfox-ai Summary: 亚马逊细分市场评论分析与消费者情感洞察。当用户提到细分市场评论分析、消费者情感、用户痛点、客户反馈洞察、评论主题分析、好评差评拆解、细分市场舆情挖掘、产品评论情感分析、niche market reviews, consumer sentiment, customer pain points, review topic analysis, positive/negative reviews, opinion mining, Jiimore data时触发此技能。即使用户未明确提及"细分市场评论"，只要其需求涉及分析亚马逊细分市场中的消费者评论或理解细分市场层面的客户情感，也应触发此技能。 Tags: latest:1.0.7 Version history: v1.0.7 | 2026-09-14T05:20:00.058Z | u

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About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 964 downloads reported by the source. Last updated 10/12/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Install and run

Setup complexity: low.

clawhub skill install s171g8b6m2khwdy9ye8bxj0wx183vd4z:linkfox-jiimore-get-niche-review-from-keyword
  1. Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-linkfox-ai-linkfox-jiimore-get-niche-review-from-keywor/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

143,158 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: linkfox-jiimore-get-niche-review-from-keyword
description: 亚马逊细分市场评论分析与消费者情感洞察。当用户提到细分市场评论分析、消费者情感、用户痛点、客户反馈洞察、评论主题分析、好评差评拆解、细分市场舆情挖掘、产品评论情感分析、niche market reviews, consumer sentiment, customer pain points, review topic analysis, positive/negative reviews, opinion mining, Jiimore data时触发此技能。即使用户未明确提及"细分市场评论"，只要其需求涉及分析亚马逊细分市场中的消费者评论或理解细分市场层面的客户情感，也应触发此技能。
---

# Jiimore Niche Review from Keyword

This skill guides you on how to query and analyze Amazon niche market review data powered by Jiimore, helping Amazon sellers uncover consumer sentiment, pain points, and real demand signals from product reviews within niche markets.

## Core Concepts

Niche Review Analysis aggregates and categorizes customer reviews across products in an Amazon niche market. Given a keyword, the system identifies the relevant niche markets, extracts review topics, classifies them as positive or negative, and shows how frequently each topic is mentioned. This enables sellers to understand what customers love, what frustrates them, and where product improvement opportunities exist.

**Review types**: Each review entry is classified as either "positive" or "negative", reflecting the overall sentiment of that review topic.

**Mention percentage**: The `percentOfMentions` value (0-1 scale, representing 0%-100%) indicates how frequently a particular topic appears across all reviews in the niche. A higher percentage means more customers are talking about that topic.

## Supported Marketplaces

US (United States), JP (Japan), DE (Germany)

Default marketplace is **US**. Use US when the user does not specify a marketplace.

## 调用方式

- **API 端点**：`POST /jiimore/getNicheReviewFromKeyword`（完整参数/响应/错误码见 `references/api.md`）
- **Python 脚本**：`python scripts/jiimore_get_niche_review.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-jiimore-get-niche-review-from-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。

## Parameter Guide

### Required Parameter

| Parameter | Type | Description |
|-----------|------|-------------|
| keyword | string | The search keyword (max 1000 chars). Must be in the language of the target marketplace (English for US, German for DE, Japanese for JP) |

### Marketplace & Pagination

| Parameter | Type | De

_meta.json

{
  "ownerId": "kn7dmc1t4j28hem1twwyav85p182pb1j",
  "slug": "linkfox-jiimore-get-niche-review-from-keyword",
  "version": "1.0.7",
  "publishedAt": 1789363200058
}

references/api.md

# 极目-亚马逊-细分市场评论 API 参考

## 调用规范

- **请求地址**：`${LINKFOX_TOOL_GATEWAY}/jiimore/getNicheReviewFromKeyword`
- **请求方式**：POST，Content-Type: application/json
- **认证方式**：Header `Authorization: <api_key>`，api_key 从环境变量 `LINKFOX_AGENT_API_KEY` 或 `LINKFOXAGENT_API_KEY` 读取（如未配置 按 SKILL.md 的 **## 解决认证和算力问题** 处理）

## 请求参数

POST Body（JSON）：

### 必填参数

| 参数 | 类型 | 必填 | 说明 |
|------|------|------|------|
| keyword | string | 是 | 关键词（必填，请使用对应站点的语言，如美国站用英文，德国站用德文），最大长度1000字符 |

### 站点与分页

| 参数 | 类型 | 必填 | 默认值 | 说明 |
|------|------|------|--------|------|
| countryCode | string | 否 | US | 国家编码，可选值：`US`（美国）、`JP`（日本）、`DE`（德国） |
| page | integer | 否 | 1 | 页码（从1开始） |
| pageSize | integer | 否 | 50 | 每页返回数量（10-100） |

### 排序

| 参数 | 类型 | 必填 | 默认值 | 说明 |
|------|------|------|--------|------|
| sortField | string | 否 | unitsSoldT7 | 排序字段，可选值：`clickConversionRateT7`（7天点击转化率）、`demand`（需求得分）、`avgPrice`（商品均价）、`maximumPrice`（商品最高价）、`minimumPrice`（商品最低价）、`productCount`（商品数量）、`searchConversionRateT7`（7天搜索转化率）、`searchVolumeT7`（7天搜索量）、`unitsSoldT7`（7天销量）、`searchVolumeGrowthT7`（搜索增长率）、`clickCountT90`（90天点击量）、`clickCountT7`（周点击量）、`brandCount`（品牌数量）、`top5BrandsClickShare`（TOP5品牌份额）、`newProductsLaunchedT180`（180d新品成功率-发布数）、`successfulLaunchesT180`（180d新品成功率-新品数）、`launchRateT180`（180d新品成功率-发布率）、`top5ProductsClickShare`（top5商品点击份额）、`returnRateT360`（退货率）、`clickConversionRateT90`（90天点击转化率）、`searchConversionRateT90`（90天搜索转化率）、`searchVolumeT90`（90天搜索量）、`unitsSoldT90`（90天销量）、`unitsSoldGrowthT90`（90天销量增长率）、`searchVolumeGrowthT90`（90天搜索增长率）、`acos`、`profitRate50`（50%自然单的利润率） |
| sortType | string | 否 | desc | 排序方式，可选值：`desc`（降序）、`asc`（升序） |

### 细分市场筛选（均为选填）

**商品与品牌指标**：

| 参数 | 类型 | 说明 |
|------|------|------|
| productCountMin | integer | 商品数量（当前）最小值 |
| productCountMax | integer | 商品数量（当前）最大值 |
| brandCountMin | integer | 品牌数量最小值 |
| brandCountMax | integer | 品牌数量最大值 |
| avgPriceMin | number | 平均价格（当前）最小值 |
| avgPriceMax | number | 平均价格（当前）最大值 |

**销量与搜索量**：

| 参数 | 类型 | 说明 |
|------|------|------|
| unitsSoldT7Min | integer | 销售量（7天统计）最小值 |
| unitsSoldT7Max | integer | 销售量（7天统计）最大值 |
| searchVolumeT7Min | integer | 搜索量（7天统计）最小值 |
| searchVolumeT7Max | integer | 搜索量（7天统计）最大值 |
| clickCountT7Min | integer | 点击量（7天统计）最小值 |
| clickCountT7Max | integer | 点击量（7天统计）最大值 |

**转化率**（数值范围为0-1，代表0%-100%）：

| 参数 | 类型 | 说明 |
|------|------|------|
| clickConversionRateT7Min | number | 点击转换率（7天统计）最小值 |
| clickConversionRateT7Max | number | 点击转换率（7天统计）最大值 |

**市场集中度**（数值范围为0-1，代表0%-100%）：

| 参数 | 类型 | 说明 |
|------|------|------|
| top5BrandsClickShareMin | number | 前5个品牌所占细分市场的点击量份额最小值 |
| top5BrandsClickShareMax | number | 前5个品牌所占细分市场的点击量份额最大值 |
| top5ProductsClickShareMin | number | 排名前5位的商品点击份额（当前）最小值 |
| top5ProductsClickShareMax | number | 排名前5位的商品点击份额（当前）最大值 |
| sponsoredProductsPercentageMin | number | SP广告占比最小值 |
| sponsoredProductsPercentageMax | number | SP广告占比最大值 |

**品牌年龄**：

| 参数 | 类型 | 说明 |
|------|------|------|
|

references/onboarding.md

# 解决认证和算力问题

调用本 skill 时若网关返回 **auth** 或 **billing** 错误，走本 skill 自带的 `scripts/onboarding.py` 完成引导。

**auth 场景**：`errcode=401` 或消息含 `authorized error`/`鉴权失败`/`未授权`/`unauthorized`；或 `LINKFOX_AGENT_API_KEY` 与 `LINKFOXAGENT_API_KEY` 均为空。
1. 若已配置 key → 先让用户重启会话（最常见误判），仍失败让用户重新取 key 或换手机号重注册
2. 未配置 → 询问：自助去 https://agent.linkfox.com/ 取 key，或提供手机号让脚本注册
3. 手机号路径：
   - `python scripts/onboarding.py send-code <phone>` → 展示 JSON 里的 phone/agreements
   - 收到验证码后：`python scripts/onboarding.py login <phone> <code>`
   - 拿到 `api_key` 后把下面三平台配置转发给用户，提示重启会话生效：
     - Windows PowerShell（永久）：`setx LINKFOX_AGENT_API_KEY "<key>"`
     - macOS zsh：`echo 'export LINKFOX_AGENT_API_KEY="<key>"' >> ~/.zshrc && source ~/.zshrc`
     - Linux bash：`echo 'export LINKFOX_AGENT_API_KEY="<key>"' >> ~/.bashrc && source ~/.bashrc`
     - 变量名 `LINKFOX_AGENT_API_KEY`（主推）或 `LINKFOXAGENT_API_KEY`（老规范）任一即可

**billing 场景**：`errcode=402` 或消息含 `算力/余额/quota/insufficient/充值/套餐到期`。
- `python scripts/onboarding.py list-plans` → 有 AskUserQuestion 就弹菜单，否则输出编号清单让用户选
- 校验 `plan_id` ∈ 清单、支付方式 ∈ 该套餐 `available_methods`（通常 `wechat/alipay`）
- `python scripts/onboarding.py order <plan_id> <method>` → 展示优先级 PNG > `pay_url` > `ascii_qr`（标注兜底）
- 已付款可选调 `python scripts/onboarding.py query <order_id>`，不主动轮询

排除 `errcode=403`（无权限，不归入这两类）。所有子命令输出 stdout JSON，`error` 字段已含阶段前缀，透传给用户即可。完整用法：`python scripts/onboarding.py --help`。

skill-card.md

## Description:

Jiimore analyzes Amazon niche-market reviews from a keyword to surface sentiment, recurring topics, customer pain points, and review examples for supported marketplaces.

This skill is ready for commercial/non-commercial use.

## Publisher:

[linkfox-ai](https://clawhub.ai/user/linkfox-ai)

### License/Terms of Use:

MIT-0

## Use Case:

External Amazon sellers and market researchers use this skill to request Jiimore niche review data for a keyword and turn returned review topics into consumer sentiment and product opportunity insights.

### Deployment Geography for Use:

Global; supported marketplace data is limited to the United States, Japan, and Germany.

## Known Risks and Mitigations:

Risk: The skill makes LinkFox/Jiimore network calls that can consume paid credits.

Mitigation: Confirm user intent before repeated calls, rely on the documented 24-hour parameter cache, and disclose additional cost before retries or expanded searches.

Risk: The onboarding flow can involve phone/SMS login and payment steps.

Mitigation: Prefer the self-service LinkFox account page for key setup, avoid asking users to enter OTPs in chat where possible, and present payment actions for explicit user confirmation.

Risk: API responses and session metadata are persisted locally.

Mitigation: Store results only in the documented workspace linkfox directory and remind users that saved review data and metadata may need cleanup under their local data-retention practices.

Risk: Endpoint override environment variables can redirect requests to untrusted destinations.

Mitigation: Use the default LinkFox endpoints unless the user explicitly trusts and verifies any LINKFOX_* override destination.

## Reference(s):

- [Jiimore Niche Review API Reference](references/api.md)
- [LinkFox Authentication and Billing Onboarding](references/onboarding.md)
- [ClawHub skill listing](https://clawhub.ai/linkfox-ai/skills/linkfox-jiimore-get-niche-review-from-keyword)
- [LinkFox Skills](https://skill.linkfox.com/)

## Skill Output:

**Output Type(s):** [text, markdown, shell commands, configuration, JSON, files, guidance]

**Output Format:** [Markdown guidance with shell commands and JSON API responses or saved JSON response files.]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Full API responses are saved under a local linkfox session directory; large responses are summarized unless inline output is requested.]

## Skill Version(s):

1.0.7 (source: server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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