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 serejaris/kimi-skills --skill commodity-research-outlookgit clone --depth 1 https://github.com/serejaris/kimi-skillsWrote 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/serejaris/kimi-skills/commodity-research-outlook)<a href="https://agentmods.dev/skills/serejaris/kimi-skills/commodity-research-outlook"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/commodity-research-outlook/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/serejaris/kimi-skills/commodity-research-outlook"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/commodity-research-outlook.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 | $0.00111 | $0.01649 |
| Opus 5 | $0.00056 | $0.00825 |
| Sonnet 5 | $0.00022 | $0.00330 |
| Haiku 4.5 | $0.00011 | $0.00165 |
Grade A, and why
commodity-research-outlook 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
大宗商品研究展望
按照经过验证的卖方研究结构，制作机构级大宗商品展望报告。
参考来源
- 类型：上传的PDF文件（三个版本：2024、2025、2026）
- 参考文件类型：PDF
- 主要风格参考：2026版（简洁极简设计，几何无衬线字体排版）
- 支持的输出格式：PDF（主要）、DOCX（可编辑）、PPTX（演示文稿子集）
- 默认输出：用户未指定时默认输出PDF
风格规范
加载 references/style_contract.md 获取完整视觉规范。关键规则如下。
必须遵循的风格规则
- 封面页——禁止使用深色渐变条。全页白色背景。纯文本页眉：品牌Logo名称位于左上方，"大宗商品研究"位于右上方并附日期/时间。页眉下方左侧边距处有细竖线深蓝色装饰线。
- 不使用章节编号层级（不使用1.、1.1、2.等）。采用段落式流畅文本，配合粗体小标题（如"做多黄金"或"大宗商品的保险价值"）嵌入叙述中。
- 不使用彩色章节标题栏。所有正文页均为干净的白色背景。
- 字体排版：几何新怪诞无衬线体；使用Helvetica Neue / Arial作为主要字体。禁止使用LiberationSans。
- 图表：深蓝色（#003366）和红色/陶土色（#C62828）作为主要系列颜色。简洁极简网格线。双面板图表（两个图表并排）为标准展示方式。
快速参考
| 元素 | 规格说明 |
|---|---|
| 品牌页眉文本 | 白色背景上的纯文本Logo——禁止渐变/深色条 |
| 章节标题 | 粗体，与文本流内联，叙述风格 |
| 正文文本 | 约10-11pt，左对齐，右侧不齐 |
| 页眉 | 细线分隔；左侧"[机构名称]"，右侧"大宗商品观点" |
| 页脚 | 左侧日期，右侧页码 |
| 图表标题 | 粗体，"图表 N：[描述性标题]" |
| 来源标注 | 小号灰色文字，"来源：[数据机构]，[机构名称]全球投资研究" |
结构规范
加载 references/structure_contract.md 获取完整结构规范。
文档流程（无目录页）
Cover Page (page 1)
|-- Brand text header + date
|-- Thin vertical navy left-accent line
|-- "COMMODITY VIEWS" series label
|-- Report title + subtitle
|-- Key takeaways (left column, ~60%): 5-8 bullets with filled-square markers
|-- Author team (right column, ~40%): Name | Phone | Email | Entity
|-- Top trades: empty-square markers with bold trade names
|-- disclaimer bar at bottom
Body Pages (page 2 onward) — NO TOC PAGE, flow directly into content
|-- Running header + thin rule
|-- Opening thesis paragraph + overview narrative
|-- Exhibits inline with text (multi-panel charts, tables)
|-- Thematic sections with bold subheadings in text flow
|-- Per-commodity deep dives with supply/demand analysis
|-- ~15-16 exhibits per 19-page report (high exhibit density)
Disclosure Appendix (last 1-2 pages)
|-- Reg AC certification
|-- Global product / distributing entities
|-- General disclosures
|-- Copyright notice
图表要求
- 数量：约19页的报告目标包含15-16个实质性图表。每个主要主题需要2-4个配套图表。
- 类型：多面板时间序列（双轴）、分组/堆叠柱状图、回归散点图、数据表格、框架示意图。
- 交叉引用：每个图表在正文中以"（图表 N）"或"图表 N，左侧面板"形式引用。
- 来源标注：每个图表均需标注数据来源。
What ships with it
2 files 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 · 121 lines · 111 tokens per session scan A 25a3c08fda38
commodity-research-outlook is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 111 tokens to every session and 1,649 once invoked, about $0.0006 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 2026-08-31.
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