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 skeletorflet/opencode-supreme-setup --skill data-reportgit clone --depth 1 https://github.com/skeletorflet/opencode-supreme-setupWrote 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/skeletorflet/opencode-supreme-setup/data-report)<a href="https://agentmods.dev/skills/skeletorflet/opencode-supreme-setup/data-report"><img src="https://agentmods.dev/badge/skills/skeletorflet/opencode-supreme-setup/data-report/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/skeletorflet/opencode-supreme-setup/data-report"><img src="https://agentmods.dev/badge/skills/skeletorflet/opencode-supreme-setup/data-report.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 | $0.00019 | $0.00626 |
| Opus 5.5 | $0.00008 | $0.00250 |
| Sonnet 5.5 | $0.00004 | $0.00125 |
| Haiku 4.5 | $0.00002 | $0.00063 |
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 1mo 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
【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
4 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.
- 1mo ago First seen · 42 lines · 19 tokens per session scan A 51e14a3092c1
data-report is a skill published in the GitHub repository skeletorflet/opencode-supreme-setup (48 stars, last pushed 5mo ago), licensed MIT. It adds 19 tokens to every session and 626 once invoked, about $0.0001 per session on Opus 5.5. 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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