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 agentmods add skills/wolfenazz/yzpzcode/data-reportnpx skills add wolfenazz/YzPzCode --skill data-reportgit clone --depth 1 https://github.com/wolfenazz/YzPzCodeWrote 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/wolfenazz/yzpzcode/data-report)<a href="https://agentmods.dev/skills/wolfenazz/yzpzcode/data-report"><img src="https://agentmods.dev/badge/skills/wolfenazz/yzpzcode/data-report.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 | $0.00018 | $0.00721 |
| Opus 5 | $0.00009 | $0.00360 |
| Sonnet 5 | $0.00004 | $0.00144 |
| Haiku 4.5 | $0.00002 | $0.00072 |
Grade A, and why
data-report 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 today.
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
【模板: 数据可视化报告】
- 头部: 报告标题 + 时间区间 + 数据来源说明。
- KPI 卡片网格: 3-5 个最重要指标, 每个卡片显示数值 + 同比变化 + 微型趋势线。
- 主图表区: 至少 2 个图表 (柱状 / 折线 / 饼 / 散点), 使用 Chart.js 或 ECharts (jsdelivr CDN 引入), 数据从用户输入解析得到。
- 图表容器必须有固定高度: 每个
<canvas>外层包一个<div style="position:relative;height:NNNpx">(KPI 迷你图 ~40px, 主图表 ~240–280px)。Chart.js 用responsive:true, maintainAspectRatio:false时若父容器没有显式高度, 会陷入 ResizeObserver 死循环, 图表无限增高直至卡死浏览器。绝对不要直接给 canvas 写height=属性当布局, 那个只是初始值。 - 数据表格: 用户原始数据节选, 使用
<table>+ 现代化样式 (zebra stripe, hover, sticky header)。 - 洞察块: 3-5 条文字洞察, 用 emoji 开头, 像产品周报。
- 底部"方法论"折叠区。
- 配色克制专业: 主色 1 + 中性色阶, 图表用调色板。
- 必须解析用户提供的实际数据, 不要捏造。
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.
- today First seen · 46 lines · 18 tokens per session scan A ad1ce62d6b3a
data-report is a skill published in the GitHub repository wolfenazz/YzPzCode (13 stars, last pushed today), licensed Apache-2.0. It adds 18 tokens to every session and 721 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 2026-09-03.
Other skills, from other repositories
data-report
把 CSV/Excel/JSON 数据转成漂亮的可视化报告页.
data-report
Turns CSV, Excel, or JSON data into a polished visual report page.
data-report
把 CSV/Excel/JSON 数据转成漂亮的可视化报告页.
data-report
Turns CSV, Excel, or JSON data into a polished visual report page.
data-report
Turns CSV, Excel, or JSON data into a polished visual report page.
data-analysis
Answer data questions from quick metric lookups to full investigations and stakeholder-ready reports.