html-anything is a local AI-assisted HTML editor in which coding-agent command-line tools create documents such as articles, presentations, posters, prototypes, and reports from reusable templates. People use it to produce HTML and export it to services such as WeChat, X, and Zhihu or to HTML and PNG files. The catalogue entries are the skills and instructions that define its output surfaces and workflows.
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 nexu-io/html-anything --skill data-reportgit clone --depth 1 https://github.com/nexu-io/html-anythingWrote 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/nexu-io/html-anything/data-report)<a href="https://agentmods.dev/skills/nexu-io/html-anything/data-report"><img src="https://agentmods.dev/badge/skills/nexu-io/html-anything/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/nexu-io/html-anything/data-report"><img src="https://agentmods.dev/badge/skills/nexu-io/html-anything/data-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00496 |
| Opus 5.5 | $0.00008 | $0.00198 |
| Sonnet 5.5 | $0.00004 | $0.00099 |
| Haiku 4.5 | $0.00002 | $0.00050 |
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- data-report — 100% identical, 1 lines differ
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.
- 1mo ago First seen · 29 lines · 19 tokens per session scan A 188e3d69adc8
data-report is a skill published in the GitHub repository nexu-io/html-anything (9,180 stars, last pushed 7d ago), licensed Apache-2.0. It adds 19 tokens to every session and 496 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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