clawec-amazon-market-brand-concentration

clawec-amazon-market-brand-concentration is a skill for Claude Code, Codex from uni-infiniteai/clawec-agents. It costs 41 tokens per session (881 once invoked), scanned A, a copy of clawec-amazon-asin-detail, MIT.

A tool for checking how much of an Amazon category is controlled by its leading brands. It uses a category path, marketplace, and optional month to return brand market-share and competition data.

In plain words
What is it for?
Use it for category competition research, brand market-share checks, and planning entry into an Amazon category.
Why use it?
It makes the brand structure of a category easier to assess without manually reviewing many listings. This helps show whether a category is dominated by a few brands.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for category competition research, brand market-share checks, and planning entry into an Amazon category.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/uni-infiniteai/clawec-agents/clawec-amazon-market-brand-concentration
Install

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.

Any agent
npx skills add uni-infiniteai/clawec-agents --skill clawec-amazon-market-brand-concentration
Clone the repo
git clone --depth 1 https://github.com/uni-infiniteai/clawec-agents

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for clawec-amazon-market-brand-concentration

README.md
[![agentmods](https://agentmods.dev/badge/skills/uni-infiniteai/clawec-agents/clawec-amazon-market-brand-concentration/github.svg)](https://agentmods.dev/skills/uni-infiniteai/clawec-agents/clawec-amazon-market-brand-concentration)
Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/uni-infiniteai/clawec-agents/clawec-amazon-market-brand-concentration"><img src="https://agentmods.dev/badge/skills/uni-infiniteai/clawec-agents/clawec-amazon-market-brand-concentration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 881 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 91% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00881
Opus 5 $0.00020 $0.00441
Sonnet 5 $0.00008 $0.00176
Haiku 4.5 $0.00004 $0.00088

Measured 13d ago against content hash 01d6ba6a2a32, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

clawec-amazon-market-brand-concentration scanned grade A with 1 finding 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 13d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/query.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s -X POST "https://www.clawec.com/api/aigc/ec/amazon/data/market/brand_concentration" \
Origin

This is a copy

91% identical to clawec-amazon-asin-detail — 27 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/clawec-amazon-market-brand-concentration/SKILL.md · 91 lines

What it actually says

亚马逊类目品牌集中度

关于 clawEC

clawEC 是一款面向跨境电商场景的 AI 智能体协同平台,以「你的跨境电商 AI 团队」为品牌主张,将选品、调研、运营、上架、营销、客服、采购、合规等环节沉淀为可执行的 SOP(标准作业程序),帮助卖家在单人或少人条件下完成跨境业务闭环,降低对专业运营团队与复杂本地部署的依赖。

本技能调用 clawEC 开放 API,用于查询指定类目下头部品牌的市场份额与竞争态势。

认证与基址

优先从环境变量 CLAWEC_API_KEY 读取密钥;未设置时向用户索取,勿硬编码。

接口

POST /aigc/ec/amazon/data/market/brand_concentration

参数 位置 必填 说明
marketplace body 市场编码 US=美国 UK=英国 ES=西班牙 FR=法国 DE=德国 IT=意大利 CA=加拿大 JP=日本
nodeIdPath body 类目节点 id 路径,格式为 父节点ID:子节点ID。 家电-家电保修:2619525011:2242350011 家电-洗碗机:2619525011:3741271 家电-垃圾处理机:2619525011:18116205011 家…
month body 筛选月份,格式yyyyMM,示例:202507

marketplace 取值

代码 市场
US 美国
UK 英国
ES 西班牙
FR 法国
DE 德国
IT 意大利
CA 加拿大
JP 日本

调用

curl -s -X POST "https://www.clawec.com/api/aigc/ec/amazon/data/market/brand_concentration" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $CLAWEC_API_KEY" \
  -d '{"marketplace": "US", "nodeIdPath": "1055398:1063252", "month": "202507"}'

或使用脚本:

bash scripts/query.sh US 1055398:1063252 202507

响应结构

{
  "status": 1,
  "data": { ... }
}
  • status: 1 = 成功,0 = 失败
  • 成功时解析 data 按用户需求整理为中文摘要即可(无需卡片组件)

工作流程

  1. 确认 marketplace、nodeIdPath;可选 month
  2. 检查 CLAWEC_API_KEY 是否可用
  3. 执行 API 请求
  4. 失败时说明错误并提示检查密钥与关键参数
  5. 解析返回数据,整理为中文摘要

输出建议

  • 查询条件:市场、类目路径、月份
  • 头部品牌份额与集中度
  • 给出 1–2 条品牌格局观察
Files

What ships with it

1 file 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.

Changes

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.

  1. 13d ago First seen · 91 lines · 41 tokens per session scan A 01d6ba6a2a32

Subscribe to this mod's changes

clawec-amazon-market-brand-concentration is a skill published in the GitHub repository uni-infiniteai/clawec-agents (42 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 881 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 91% identical to clawec-amazon-asin-detail, differing in 27 lines, and is treated as a copy.

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