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-brand-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-brand-trend)<a href="https://agentmods.dev/skills/uni-infiniteai/clawec-agents/clawec-shopee-brand-trend"><img src="https://agentmods.dev/badge/skills/uni-infiniteai/clawec-agents/clawec-shopee-brand-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-brand-trend"><img src="https://agentmods.dev/badge/skills/uni-infiniteai/clawec-agents/clawec-shopee-brand-trend.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 60 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 | $0.00038 | $0.01208 |
| Opus 5 | $0.00019 | $0.00604 |
| Sonnet 5 | $0.00008 | $0.00242 |
| Haiku 4.5 | $0.00004 | $0.00121 |
Grade A, and why
clawec-shopee-brand-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 13d 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/brand/trend" \ Copies of this mod
3 near-identical copies found in the catalogue:
- clawec-shopee-item-trend — 94% identical, 31 lines differ
- clawec-shopee-category-trend — 88% identical, 35 lines differ
- clawec-shopee-shop-trend — 86% identical, 32 lines differ
How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shopee品牌趋势
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 品牌历史趋势。
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/brand/trend
| 参数 | 位置 | 必填 | 说明 |
|---|---|---|---|
| sites | body | 是 | 站点列表（支持多选）：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；默认 ["tw"] |
| brandName | body | 是 | 品牌名称；默认 Nike |
| catId | body | 否 | 类目ID（可选）。一级类目对照：100001=保健, 100009=时尚配饰, 100010=家用电器, 100011=男装服饰, 100012=男士鞋, 100013=手机平板与配件, 100015=旅行&行李箱, 100016=女…；默认 100001 |
| granularity | body | 是 | 数据统计颗粒度：1=自然月 2=自然季度 3=年；默认 1 |
| startDate | body | 是 | 查看数据范围开始时间，yyyy-MM-dd；默认 2025-05-27 |
| endDate | body | 是 | 查看数据范围结束时间，yyyy-MM-dd；默认 2026-05-27 |
| 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/brand/trend" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $CLAWEC_API_KEY" \
-d '{"sites": "[\"tw\"]", "brandName": "Nike", "catId": "100001", "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 '{"sites": "[\"tw\"]", "brandName": "Nike", "catId": "100001", "granularity": "1", "startDate": "2025-05-27", "endDate": "2026-05-27", "pageNo": "1", "pageSize": "10"}'
bash scripts/query.sh @payload.json
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.
- 13d ago First seen · 101 lines · 38 tokens per session scan A 926b25bd0ba7
clawec-shopee-brand-trend is a skill published in the GitHub repository uni-infiniteai/clawec-agents (42 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 1,208 once invoked, about $0.0002 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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