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 antvis/chart-visualization-skills --skill gpt-visgit clone --depth 1 https://github.com/antvis/chart-visualization-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/antvis/chart-visualization-skills/gpt-vis)<a href="https://agentmods.dev/skills/antvis/chart-visualization-skills/gpt-vis"><img src="https://agentmods.dev/badge/skills/antvis/chart-visualization-skills/gpt-vis.svg" alt="Measured on agentmods" 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 | $0.00063 | $0.03688 |
| Opus 5 | $0.00032 | $0.01844 |
| Sonnet 5 | $0.00013 | $0.00738 |
| Haiku 4.5 | $0.00006 | $0.00369 |
Grade A, and why
gpt-vis 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 8d 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 — 498 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GPT-Vis 图表可视化技能
GPT-Vis 是一个 AI 原生的可视化库，专为 LLM 时代设计。它采用框架无关的架构，支持 26 种图表类型，通过简单自然的语法让 LLM 能够轻松生成高质量的可视化图表。
步骤
- 意图识别：根据用户意图和数据特征选择图表类型
- 确定输出模式：根据上下文选择语法模式或代码模式
- 生成输出：按所选模式生成内容
支持的图表类型
| type 值 | 适用场景 |
|---|---|
| line | 时间序列趋势 |
| area | 时间序列趋势+总量 |
| column | 分类数据对比 |
| bar | 分类对比（标签长） |
| pie | 部分占整体比例 |
| scatter | 两变量关系 |
| dual-axes | 不同量级数据对比 |
| histogram | 连续数值频次分布 |
| boxplot | 数据分布与异常值 |
| violin | 数据分布密度 |
| radar | 多维度对比 |
| funnel | 流程转化率 |
| waterfall | 累计增减变化 |
| liquid | 百分比/进度 |
| word-cloud | 词频展示 |
| venn | 集合交并关系 |
| treemap | 层级数据占比 |
| sankey | 流量流向 |
| flow-diagram | 流程步骤 |
| mindmap | 层级知识梳理 |
| indented-tree | 树节点层级/目录 |
| network-graph | 实体间关联关系 |
| organization-chart | 组织层级 |
| fishbone-diagram | 根因分析 |
| table | 表格数据展示 |
| summary | 内容总结 |
输出模式
模式一：语法模式（Syntax / JSON）
用于 LLM 应用集成场景，生成图表配置供 GPTVis.render() 消费。支持两种格式：
- Syntax 格式：类 Markdown 缩进语法，适合流式输出（LLM 逐 token 生成时可实时渲染）
- JSON 格式：标准 JSON 对象，适合结构化 API 调用
两种格式等价，GPTVis.render() 均可直接接受。
模式二：代码模式
用于用户需要可直接运行的完整代码场景。生成包含安装说明和完整代码的输出。
GPTVis API
GPTVis 是库的统一入口类，负责创建、渲染和销毁图表。
构造函数
new GPTVis(options: VisualizationOptions)
VisualizationOptions：
| 参数 | 类型 | 必填 | 默认值 | 说明 |
|---|---|---|---|---|
container |
string | HTMLElement |
是 | — | CSS 选择器或 DOM 元素 |
width |
number |
否 | — | 图表宽度（px） |
height |
number |
否 | — | 图表高度（px） |
theme |
'default' | 'light' | 'dark' | 'academy' |
否 | 'light' |
主题 |
wrapper |
boolean |
否 | false |
是否显示外层 UI 容器（含标签页、下载、复制等） |
locale |
string |
否 | 'zh-CN' |
wrapper 内文案语言 |
What ships with it
1 file 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.
- 8d ago First seen · 498 lines · 63 tokens per session scan A 3c049ccae2f1
gpt-vis is a skill published in the GitHub repository antvis/chart-visualization-skills (479 stars, last pushed 3d ago), licensed MIT. It adds 63 tokens to every session and 3,688 once invoked, about $0.0003 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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