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 uni-infiniteai/clawec-agents --skill clawec-amazon-product-researchgit clone --depth 1 https://github.com/uni-infiniteai/clawec-agentsWrote 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/uni-infiniteai/clawec-agents/clawec-amazon-product-research)<a href="https://agentmods.dev/skills/uni-infiniteai/clawec-agents/clawec-amazon-product-research"><img src="https://agentmods.dev/badge/skills/uni-infiniteai/clawec-agents/clawec-amazon-product-research/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/uni-infiniteai/clawec-agents/clawec-amazon-product-research"><img src="https://agentmods.dev/badge/skills/uni-infiniteai/clawec-agents/clawec-amazon-product-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Data Exfiltration · line 112 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00050 | $0.01994 |
| Opus 5 | $0.00025 | $0.00997 |
| Sonnet 5 | $0.00010 | $0.00399 |
| Haiku 4.5 | $0.00005 | $0.00199 |
Grade A, and why
clawec-amazon-product-research 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 12d 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.
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/product/research" \ How it starts
The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
亚马逊选品分析
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，用于根据销量、销额、BSR、价格、评分等多维度条件筛选亚马逊商品。
认证与基址
- Base URL:
https://www.clawec.com/api - API Key: 在 https://www.clawec.com/?source=q-github-agent 注册帐号 然后去https://www.clawec.com/api-key?source=q-github-agent 获取key
- 请求头:
Content-Type: application/jsonAuthorization: Bearer <API_KEY>
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/product/research
| 参数 | 位置 | 必填 | 说明 |
|---|---|---|---|
| marketplace | body | 是 | 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 |
| month | body | 否 | 查询月份，格式yyyyMM，示例：202507 |
| keyword | body | 否 | 关键字 |
| includeSellers | body | 否 | 包含卖家 |
| excludeSellers | body | 否 | 排除卖家 |
| matchType | body | 否 | 匹配方式，1词组匹配 2模糊匹配 3精准匹配，默认2 |
| excludeKeywords | body | 否 | 排除的关键字 |
| minPrice | body | 否 | 最低价格 |
| maxPrice | body | 否 | 最高价格 |
| minRating | body | 否 | 最低评分值 |
| maxRating | body | 否 | 最高评分值 |
| minRatings | body | 否 | 最低评分数 |
| maxRatings | body | 否 | 最高评分数 |
| minRatingsCv | body | 否 | 最低月新增评分数 |
| maxRatingsCv | body | 否 | 最高月新增评分数 |
| minSellers | body | 否 | 最小卖家数量 |
| maxSellers | body | 否 | 最大卖家数量 |
| minProfit | body | 否 | 最小毛利率 |
| maxProfit | body | 否 | 最大毛利率 |
| minBsr | body | 否 | 大类BSR最高排名 |
| maxBsr | body | 否 | 大类BSR最低排名 |
| minBsrCv | body | 否 | BSR最低增长数 |
| maxBsrCv | body | 否 | BSR最高增长数 |
| minBsrCr | body | 否 | BSR最低增长率 |
| maxBsrCr | body | 否 | BSR最高增长率 |
| minUnits | body | 否 | 最低月销量 |
| maxUnits | body | 否 | 最高月销量 |
| minAmzUnit | body | 否 | 最低月子体销量 |
| maxAmzUnit | body | 否 | 最高月子体销量 |
| minRevenue | body | 否 | 最低月销售额 |
| maxRevenue | body | 否 | 最高月销售额 |
| minRevenueCr | body | 否 | 月销售额最低增长率 |
| maxRevenueCr | body | 否 | 月销售额最高增长率 |
| minUnitsCr | body | 否 | 月销量最低增长率 |
| maxUnitsCr | body | 否 | 月销量最高增长率 |
| weightUnit | body | 否 | 重量单位，默认g |
| minWeights | body | 否 | 最小重量 |
| maxWeights | body | 否 | 最大重量 |
| minVariations | body | 否 | 最低变体数 |
| maxVariations | body | 否 | 最高变体数 |
| filterSub | body | 否 | 是否筛选子类目，Y：是，只有在指定类目时才会生效 |
| minSubBsrRank | body | 否 | 最小子类排名，只有filterSub=Y时才生效 |
| maxSubBsrRank | body | 否 | 最大子类排名，只有filterSub=Y时才生效 |
| includeBrands | body | 否 | 包含品牌 |
| excludeBrands | body | 否 | 排除品牌 |
| nodeIdPaths | body | 否 | 类目节点 nodeIdPath 列表。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：261… |
| nodeIdPathEqual | body | 否 | true为类目精确查询 false为查询当前及子类目，默认false |
| availableMonth | body | 否 | 上架月份 |
| dimensionType | body | 否 | 尺寸类型集合，逗号分隔 |
| minFba | body | 否 | FBA最低运费 |
| maxFba | body | 否 | FBA最高运费 |
| minLqs | body | 否 | 最低Listing页面质量分 |
| maxLqs | body | 否 | 最高Listing页面质量分 |
| sellerNation | body | 否 | 卖家所属地，多条件查询用逗号隔开 |
| badgeBS | body | 否 | 是否有热销标识Best Seller，Y：是 |
| badgeAC | body | 否 | 是否有热销标识Amazon's Choice，Y：是 |
| badgeNR | body | 否 | 是否有新品标识New Release，Y：是 |
| fulfillment | body | 否 | 配送方式，多条件查询用逗号隔开，AMZ/FBA/FBM |
| variation | body | 否 | 是否查询变体asin，N:含变体 Y:不含变体 |
| page | body | 否 | 页码，从1开始，默认1 |
| size | body | 否 | 每页条数，默认50，最大100 |
| order | body | 否 | 排序 |
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.
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.
- 12d ago First seen · 153 lines · 50 tokens per session scan A 948555144df8
clawec-amazon-product-research is a skill published in the GitHub repository uni-infiniteai/clawec-agents (42 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 1,994 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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