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data-science-visualization

data-science-visualization is a skill for Codex from VisActor/VChart. It costs 66 tokens per session (966 once invoked), scanned A, original, MIT.

A workflow for choosing and producing data visualisations from supplied data. It focuses on selecting a chart that answers the stated question, preserving units and limits, and delivering a viewable HTML file with the chart.

In plain words
What is it for?
Use it to create charts for comparisons and other data questions, inspect missing or sparse values, generate the visualisation, and provide the HTML and source data.
Why use it?
It reduces misleading charts caused by unclear variables, missing data, unsuitable chart types, or unsupported assumptions. It also requires checking that the rendered chart and tooltips work.

Skill for Codex

Written for Codex: agents/openai.yaml present.

not rated 1.8krepo +3 yesterday A scan 66 tokens original MIT

Good fit Use it to create charts for comparisons and other data questions, inspect missing or sparse values, generate the visualisation, and provide the HTML and source data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/visactor/vchart/data-science-visualization
View source ↗ VisActor/VChart visactor.io
About the project

VChart is a cross-platform charting library for building data visualizations and annotated, animated storytelling charts. Developers use it across desktop, mobile web, and several mini-program environments through its core and framework-specific packages. The catalogue entries support work with this charting project.

VisActor/VChart · 1,847 stars · on GitHub · visactor.io

Install

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.

Any agent
npx skills add VisActor/VChart --skill data-science-visualization
Clone the repo
git clone --depth 1 https://github.com/VisActor/VChart

Made for: Codex.

Wrote 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.

agentmods badge for data-science-visualization

README.md
[![agentmods](https://agentmods.dev/badge/skills/visactor/vchart/data-science-visualization/github.svg)](https://agentmods.dev/skills/visactor/vchart/data-science-visualization)
Your own site
<a href="https://agentmods.dev/skills/visactor/vchart/data-science-visualization"><img src="https://agentmods.dev/badge/skills/visactor/vchart/data-science-visualization/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.

agentmods 80×15 button for data-science-visualization

Your own site · 80×15
<a href="https://agentmods.dev/skills/visactor/vchart/data-science-visualization"><img src="https://agentmods.dev/badge/skills/visactor/vchart/data-science-visualization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 966 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.00966
Opus 5.5 $0.00026 $0.00386
Sonnet 5.5 $0.00013 $0.00193
Haiku 4.5 $0.00007 $0.00097

Measured yesterday against content hash 4b3121adad58, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

data-science-visualization 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 yesterday.

The scan reads SKILL.md. This mod also ships 3 executable files (assets/data-bindings.js, assets/page-runtime.js, assets/statplot-controller.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/data-science-visualization/SKILL.md · 39 lines

What it actually says

数据科学可视化

生成一张能回答用户问题的图；需要互补视角时才组合多图。默认只展示标题、图表、单位与真实 Tooltip，保留必要静态图例和色标；其他交互只来自明确需求。

选择有意义的图

先明确观测是什么、要比较什么、字段含义/单位和数据范围。只检查会影响选择的缺失、组内有效样本、常量或点密集程度；不自动生成审计报告。数字 ID 不因是 number 就变成测量指标，唯一性也不单独证明一个字段是 ID。

按 问题与数据条件 选择图义。含义不足时只澄清会改变图义的问题。用户已指定图型时尊重选择；数据不满足契约则说明原因，不静默换图、猜带宽或伪造结果。

定位 索引 中选中 type 的条目，读取其 guide、typeFile 及必要 import 依赖、example 最小输入。索引每行一图，可按 type 定位；不要读完整联合声明或全部指南。特殊变体才读取 variantFile 中对应 type 的选项与固定链接。公共数值、区间或配色条件见 公共约束。TS 是字段参考，最终仍由公共 validate/compile 校验。

生成与交付

复用生成器，不重写 HTML 或绘图计算。输入与交互协议 维护表格绑定、直接 Spec、预算和按需控件。examples/ 为六份可执行演示；基础例子无控件，interactive.json 仅供明确交互需求参考，演示数据不能当用户数据。

python3 /实际技能目录/scripts/generate_visualization.py \
  --request /实际请求目录/request.json \
  --output /新的输出目录

Python 3.11+，CSV/TSV/JSON 只需标准库；XLSX 可选 openpyxl 并明确 sheet。默认解释器太旧时指定已有可用版本。输出 HTML、可重放 request 和带来源的 data；输出目录必须不存在。HTML 内嵌使用数据，固定 VChart/statplots 2.1.8-alpha.0 CDN；打开需网络及外部脚本权限，无需 npm、TypeScript、MCP 或本地服务器。

标题写实际变量、比较对象和必要范围，轴/Tooltip 保留单位。交付 HTML 链接及影响解读的数据范围、缺失省略或小样本限制；不把相关当因果，不添加分析面板。不展开聚合频数、不默认采样/截断、不猜区间或降维坐标；原始模型计算和完整推断报告使用分析工作流。

验收与继续改图

实际打开 HTML 检查图元、Tooltip 和所请求的交互。window.__DSV_STATUS__.ready 只表示批次结束，成功需每图 status=rendered；输入/省略数及详细错误保留在状态对象。仅有文件或 canvas 不能证明可用；宿主/CDN 受限时说明未完成的验收。

对话改图读取磁盘 visualization.request.json，保留全部使用行、ID、单位、固定条件和按需选项，修改请求后生成新目录。新增未内嵌字段时从已知原数据按真实 ID 补回；request 不是全列备份。浏览器后续选择不自动写回磁盘，不可读取时确认具体条件；用户请求保存当前视图时才提供 saveView。

维护者修改上游 controller 源并经 sync 脚本生成副本，不手改 assets/statplot-controller.js。references/statplots 为同版本发布资源的生成快照；类型原字节复制、指南按章节提取，来源与转换规则见 manifest。使用者无需执行同步。

Files

What ships with it

60 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.

Changes

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.

  1. yesterday First seen · 39 lines · 66 tokens per session scan A 4b3121adad58

Subscribe to this mod's changes

data-science-visualization is a skill published in the GitHub repository VisActor/VChart (1,847 stars, last pushed yesterday), licensed MIT. It adds 66 tokens to every session and 966 once invoked, about $0.0003 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 2026-10-15.

3dchartAnalytics and metricsScientificcanvascanvas2dchartcharting-librarydatavisualization
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