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-shopee-item-trendgit 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-shopee-item-trend)<a href="https://agentmods.dev/skills/uni-infiniteai/clawec-agents/clawec-shopee-item-trend"><img src="https://agentmods.dev/badge/skills/uni-infiniteai/clawec-agents/clawec-shopee-item-trend/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-shopee-item-trend"><img src="https://agentmods.dev/badge/skills/uni-infiniteai/clawec-agents/clawec-shopee-item-trend.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00036 | $0.01045 |
| Opus 5 | $0.00018 | $0.00522 |
| Sonnet 5 | $0.00007 | $0.00209 |
| Haiku 4.5 | $0.00004 | $0.00104 |
Grade A, and why
clawec-shopee-item-trend 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/shopee/data/item/trend" \ This is a copy
94% identical to clawec-shopee-brand-trend — 31 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.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shopee商品趋势
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Shopee商品趋势。
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/shopee/data/item/trend
| 参数 | 位置 | 必填 | 说明 |
|---|---|---|---|
| site | body | 是 | 站点名称：tw=台湾, my=马来西亚, id=印度尼西亚, th=泰国, ph=菲律宾, sg=新加坡, vn=越南, br=巴西 |
| itemId | body | 是 | 商品ID |
| granularity | body | 是 | 数据统计颗粒度：1=自然月 2=自然季度 3=年 |
| startDate | body | 是 | 查看数据范围开始时间，yyyy-MM-dd |
| endDate | body | 是 | 查看数据范围结束时间，yyyy-MM-dd |
| pageNo | body | 否 | 分页页码，从1开始；不传默认1；默认 1 |
| pageSize | body | 否 | 分页大小，最大10；不传默认10；默认 10 |
site / sites 取值
| 代码 | 站点 |
|---|---|
| tw | 台湾 |
| my | 马来西亚 |
| id | 印度尼西亚 |
| th | 泰国 |
| ph | 菲律宾 |
| sg | 新加坡 |
| vn | 越南 |
| br | 巴西 |
sites 为多选站点列表时，传 JSON 数组字符串，例如 ["tw","my"]。
调用
curl -s -X POST "https://www.clawec.com/api/aigc/ec/shopee/data/item/trend" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $CLAWEC_API_KEY" \
-d '{"site": "tw", "itemId": "123456", "granularity": "1", "startDate": "2025-05-27", "endDate": "2026-05-27", "pageNo": "1", "pageSize": "10"}'
筛选参数较多时，推荐直接传 JSON body（或 @payload.json）。
或使用脚本：
bash scripts/query.sh '{"site": "tw", "itemId": "123456", "granularity": "1", "startDate": "2025-05-27", "endDate": "2026-05-27", "pageNo": "1", "pageSize": "10"}'
bash scripts/query.sh @payload.json
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
- 确认 site、itemId、granularity、startDate、endDate；参数较多时用 JSON 传入
- 检查
CLAWEC_API_KEY是否可用 - 执行 API 请求
- 失败时说明错误并提示检查密钥与关键参数
- 解析返回数据，整理为中文摘要
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 · 100 lines · 36 tokens per session scan A 30bb6cde7234
clawec-shopee-item-trend is a skill published in the GitHub repository uni-infiniteai/clawec-agents (42 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 1,045 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 94% identical to clawec-shopee-brand-trend, differing in 31 lines, and is treated as a copy.
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