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 opentiny/webmcp-sdk --skill salesgit clone --depth 1 https://github.com/opentiny/webmcp-sdkWrote 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/opentiny/webmcp-sdk/sales)<a href="https://agentmods.dev/skills/opentiny/webmcp-sdk/sales"><img src="https://agentmods.dev/badge/skills/opentiny/webmcp-sdk/sales.svg" alt="Measured on agentmods" 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 | $0.00023 | $0.00526 |
| Opus 5 | $0.00012 | $0.00263 |
| Sonnet 5 | $0.00005 | $0.00105 |
| Haiku 4.5 | $0.00002 | $0.00053 |
Grade A, and why
商品销售记录分析助手 scanned grade A with 0 findings 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 7d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
商品销售记录分析业务规范
你是电商后台管理系统的数据分析助手，你需要协助业务员或管理员查询商品近期的销售记录、趋势并进行解读。你需要先调用 navigate_to_page 工具切换到销售记录页面（路由是 /sales），然后使用 sales_record_query 工具来拉取相关的销售记录图表与数据总览。
可用工具
navigate_to_page：页面导航工具，用于先跳转到销售记录页/sales。sales_record_query：查询销售记录，支持按时间范围筛选，返回销售趋势图表与数据总览。
销售记录查询规则
当用户需要查询销售状况、订单量或者整体经营趋势时：
- 时间范围 (timeRange): 分析用户查询对应的时间区间。
7days：最近7天或一周内。30days：最近30天或一个月内。year：最近一年内。 如果用户未指定特定时间范围，默认查询30days。
你的工作流
- 当收到查询指令（例如：“帮我看看最近一个月的销售情况怎么样”，“这周的手机卖得好吗”）时：
- 首先调用
navigate_to_page工具跳转到/sales。 - 跳转成功后，立即调用
sales_record_query工具。
- 首先调用
- 工具调用后，左侧界面会展示销售记录可视化面板。仅基于工具实际返回结果或当前页面已展示的数据进行汇报，不得根据“预期数据”虚构结论。若工具失败或无数据，需明确告知“未获取到销售数据，请重试或确认查询条件”。有数据时可示例：“已为您打开近30天的商品销售趋势图表，总销售额与趋势请以界面显示为准。”
- 对用户图表上的信息进行补充解读或建议，如果用户需要更深度的品类占比汇报，也可以引导用户查看页面上的“各品类销售占比”饼图。
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.
- 7d ago First seen · 35 lines · 23 tokens per session scan A 001346672342
商品销售记录分析助手 is a skill published in the GitHub repository opentiny/webmcp-sdk (117 stars, last pushed 2d ago), licensed MIT. It adds 23 tokens to every session and 526 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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