data-viz-renderer

data-viz-renderer is a skill for Claude Code, Codex from zebbern/claude-code-guide. It costs 62 tokens per session (1,507 once invoked), scanned A, original, MIT.

A generator for self-contained HTML and SVG data graphics, including statistic cards, comparison bar charts, process diagrams, and dashboards. The files include their own styles and graphics, so they do not need external dependencies.

In plain words
What is it for?
Use it to create KPI summaries, compare data series, illustrate step-by-step processes, or combine these views into a dashboard.
Why use it?
It turns structured data into browser-ready visuals without requiring a separate charting service or library.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to create KPI summaries, compare data series, illustrate step-by-step processes, or combine these views into a dashboard.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zebbern/claude-code-guide/data-viz-renderer
About the project

Claude Code Guide is a reference collection for configuring and using Claude Code, Anthropic’s command-line coding agent. Developers use it to learn commands, skills, agents, MCP, automation, security, integrations, and troubleshooting. Its catalogue add-ons provide many of the documented skills and agents.

zebbern/claude-code-guide · 4,672 stars · on GitHub

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 zebbern/claude-code-guide --skill data-viz-renderer
Clone the repo
git clone --depth 1 https://github.com/zebbern/claude-code-guide

Made for: Claude Code, 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-viz-renderer

README.md
[![agentmods](https://agentmods.dev/badge/skills/zebbern/claude-code-guide/data-viz-renderer/github.svg)](https://agentmods.dev/skills/zebbern/claude-code-guide/data-viz-renderer)
Your own site
<a href="https://agentmods.dev/skills/zebbern/claude-code-guide/data-viz-renderer"><img src="https://agentmods.dev/badge/skills/zebbern/claude-code-guide/data-viz-renderer/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-viz-renderer

Your own site · 80×15
<a href="https://agentmods.dev/skills/zebbern/claude-code-guide/data-viz-renderer"><img src="https://agentmods.dev/badge/skills/zebbern/claude-code-guide/data-viz-renderer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,507 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00062 $0.01507
Opus 5.5 $0.00025 $0.00603
Sonnet 5.5 $0.00012 $0.00301
Haiku 4.5 $0.00006 $0.00151

Measured 1mo ago against content hash 94f01a27c3c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

data-viz-renderer 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/build_infographic.py), 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/data-viz-renderer/SKILL.md · 187 lines

How it starts

The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Data Viz Renderer

Generate self-contained HTML/SVG infographics from JSON data. Four supported types:

  1. Stats Cards — KPI big numbers + trend arrows + icons
  2. Comparison Chart — Grouped bar chart with multiple series
  3. Flow Diagram — Step-by-step process with numbering, icons, and connecting arrows
  4. Dashboard — Mixed layout: stat cards + bar chart + donut chart + flow

Output is a fully self-contained HTML file (all CSS/SVG inline, no external dependencies), ready to open directly in a browser.

Usage

Basic Usage

python3 scripts/build_infographic.py config.json

Also supports reading from stdin:

cat config.json | python3 scripts/build_infographic.py

The script outputs a JSON status to stdout and writes the generated HTML to the path specified in the output field.

JSON Configuration Format

Common fields:

Field Type Required Description
title string No Infographic title
subtitle string No Subtitle
type string Yes stats / comparison / flow / dashboard
palette string No Color palette (default: auto)
data object/array Yes Data content (format depends on type)
output string No Output file path (default: infographic.html)
footer string No Footer text

Color Palettes

Available values: auto (automatically chosen based on data), ocean, sunset, forest, berry, vibrant, corporate, pastel, earth

Data Format by Type

1. stats — Stat Cards
{
  "type": "stats",
  "data": [
    {
      "label": "Total Revenue",
      "value": "$1.2M",
      "icon": "money",
      "trend": "+12.5%",
      "trend_dir": "up"
    },
    {
      "label": "Users",
      "value": "45,230",
      "icon": "users",
      "trend": "+8.2%",
      "trend_dir": "up"
    }
  ]
}

icon options: users, user, money, percent, globe, clock, check, star, target, zap, chart-bar, chart-pie, database, rocket, shield, heart, light, search, mail, settings, flag, trending-up, trending-down

Read the full file on GitHub · 187 lines

Files

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.

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. 1mo ago First seen · 187 lines · 62 tokens per session scan A 94f01a27c3c0

Subscribe to this mod's changes

data-viz-renderer is a skill published in the GitHub repository zebbern/claude-code-guide (4,672 stars, last pushed yesterday), licensed MIT. It adds 62 tokens to every session and 1,507 once invoked, about $0.0002 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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