What makes pangolinfo-amazon-product-explorer notable?

1.4K downloads. Trust evidence available

How should pangolinfo-amazon-product-explorer be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

pangolinfo-amazon-product-explorer

Use when: user asks "what should I sell" / "find a blue-ocean niche" / "is X category worth entering" / "I want to launch a new product in Y" / "从 0 到 1 选品" / "新品立项". Covers: GTM scouting SOP — external demand → niche filter → benchmark products → review pain mining → IP clearance → final go/no-go r Skill: pangolinfo-amazon-product-explorer Owner: pangolinfo Summary: Use when: user asks "what should I sell" / "find a blue-ocean niche" / "is X category worth entering" / "I want to launch a new product in Y" / "从 0 到 1 选品" / "新品立项". Covers: GTM scouting SOP — external demand → niche filter → benchmark products → review pain mining → IP clearance → final go/no-go r Tags: latest:4.0.0 Version history: v4.0.0 | 2026-

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.4k

Updated

Oct 10, 2026

Version

4.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.4K downloads reported by the source. Last updated 10/10/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 10, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 10, 2026
Adoption signal: 1.4K downloadsadoption · observed Oct 10, 2026
Latest release: 4.0.0release · observed Aug 20, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s1713qcay2x7frr7y0mm908crx83hmg8:pangolinfo-amazon-product-explorer

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.
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-pangolinfo-pangolinfo-amazon-product-explorer/snapshot"

Documentation

CLAWHUB

152,957 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: amazon-product-explorer
description: |
  Use when: user asks "what should I sell" / "find a blue-ocean niche" / "is X category worth entering" / "I want to launch a new product in Y" / "从 0 到 1 选品" / "新品立项".
  Covers: GTM scouting SOP — external demand → niche filter → benchmark products → review pain mining → IP clearance → final go/no-go report.
  NOT for: daily monitoring or rank tracking (use amazon-daily-competitor-radar) / writing Listing copy (use amazon-listing-optimization) / single ASIN lookup (call get_amazon_product directly).
version: 3.1.0
mcp_tools_used:
  - pangolinfo_capabilities
  - search_categories
  - filter_niches
  - filter_categories
  - search_amazon
  - get_amazon_product
  - get_amazon_reviews
  - list_new_releases
  - keyword_trends
  - ai_search
  - wipo_search
applies_to: [claude-code, cursor, cline, windsurf, hermes, codex, openclaw]
budget:
  fast: { duration: "≤ 90s wall-clock (实测 ~30s)", cost: "≤ 8 积点 (实测 4-6pt)", calls: "≤ 7 (1 + 2 并发 × 多回合)" }
  full: { duration: "≤ 5min wall-clock", cost: "≤ 30 积点", calls: "≤ 15" }
---

# Amazon GTM 选品 SOP

> 跑前必读：本文件末尾《核心规则 / Core Rules》章节（已内联，自包含）。
> **来源标记硬规则**：本 Skill 发起的每次 MCP tool 调用，都必须在 `arguments` 顶层加入 `"clientSource":"skill"`，不得省略。
> 角色：Amazon 增长顾问 + 数据咨询师。用硬数据出 go/no-go 判断，**不出凑数 niche**。

## 用户触发与档位识别

**Fast 档**（默认，≤90s）：
- "X 方向能做什么"
- "我想做 Y 类目，先研究一下"
- "看看 wireless earbuds 有没有机会"

**Full 档**（用户明示，≤5min）：
- "深度选品报告"
- "完整 GTM 策略"
- "详细分析 X 类目，包括差评和 IP"

**单工具直通**（不跑 SOP）：
- "查一下 ASIN B0XXX" → `get_amazon_product`
- "X 类目热销榜" → `list_bestsellers`

---

## Fast 档 SOP(5 回合 ≤ 90s)

每回合 ≤ 2 并发(实测 2026-05-28:3 并发会触发后端业务码 9200 "no content")。

```
回合 1 (5s)   search_categories                                ← 拿 browseNodeId
回合 2 (5s)   filter_niches | keyword_trends                    ← 2 并发
回合 3 (5s)   search_amazon | list_new_releases                 ← 2 并发
回合 4 (5s)   get_amazon_product(A1) | get_amazon_product(A2)   ← 2 并发
回合 5 (5s)   get_amazon_product(A3)                            ← 单发(可跳过)
LLM 整合 (~30s)
```

**总耗时**：~30s tool + 30s LLM ≈ **60s**
**总成本**：~6 积点(5 个 scrape + 1 个 trends)
**总调用**：6 次 tool

### R1 — 类目锚定

```jsonc
{ "name": "search_categories",
  "arguments": { "keyword": "<user_seed_keyword>", "site": "amz_us" } }
```

**Extract**: 取 `data.items.data[0].browseNodeId` 作为后续 categorySlug 推断依据；记下 `browseNodeNamePath` 作上下文。

**Early-return**: 0 条结果 → 让用户更换/细化关键词，停止。

### R2 — 2 并发(filter_niches + keyword_trends)

```jsonc
// (a) Amazon 利基筛选
{ "name": "filter_niches", "arguments": {
  "marketplaceId": "US",
  "nicheTitle": "<seed_keyword>",
  "searchVolumeT90Min": 20000,
  "top5ProductsClickShareT360Max": 0.40,
  "productCountMax": 300,
  "searchVolumeGrowthT90Min": 0.05,
  "returnRateT360Max": 0.10,
  "size": 5
}}

// (b) 外部需求趋势
{ "name": "keyword_trends", "arguments": {
  "keywords": ["<seed_keyword>"],
  "timeRange": "today 12-m",
  "region": "US"
}}
```

**关键约束**:
- `marketplaceId` 用 ISO 站点码 `"US"`/`"UK"`/`"DE"`,**不是** Amazon merchant ID `ATV

_meta.json

{
  "ownerId": "kn78jnk9jg3dj6dqkcn0rdz4md83f361",
  "slug": "pangolinfo-amazon-product-explorer",
  "version": "4.0.0",
  "publishedAt": 1787214635487
}

skill-card.md

## Description:

Guides agents through Amazon product-market scouting with Pangolinfo tools for demand analysis, niche filtering, benchmark product review, review-pain mining, IP checks, and go/no-go recommendations.

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

## Publisher:

[pangolinfo](https://clawhub.ai/user/pangolinfo)

### License/Terms of Use:

MIT-0

## Use Case:

External sellers, marketplace operators, and agent users use this skill to evaluate Amazon categories or product ideas and produce concise go/no-go product exploration reports.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill requires access to Pangolinfo-authenticated tools and the security evidence flags direct API key handling for review.

Mitigation: Configure credentials through protected MCP or secret-management paths, avoid placing API keys in prompts, URLs, tickets, or shared config, and rotate any exposed key.

Risk: Authentication or quota failures can stop the workflow and repeated retries with the same invalid key will not resolve the issue.

Mitigation: Stop on AUTH or QUOTA failures, ask the user to configure or renew credentials, and continue only after the tool connection has been restarted or reconnected.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/pangolinfo/skills/pangolinfo-amazon-product-explorer)
- [Pangolinfo publisher profile](https://clawhub.ai/user/pangolinfo)
- [Pangolinfo website](https://www.pangolinfo.com)

## Skill Output:

**Output Type(s):** [Text, Markdown, Shell commands, Configuration, Guidance]

**Output Format:** [Markdown reports with tables, short recommendations, and setup commands when authentication is missing.]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Requires Pangolinfo-authenticated tools and includes clientSource="skill" in tool-call arguments.]

## Skill Version(s):

4.0.0 (source: server release metadata and changelog; artifact frontmatter states 3.1.0)

## 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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