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 nealepetrillo/claude-skills-echart --skill echartgit clone --depth 1 https://github.com/nealepetrillo/claude-skills-echartWrote 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/nealepetrillo/claude-skills-echart/echart)<a href="https://agentmods.dev/skills/nealepetrillo/claude-skills-echart/echart"><img src="https://agentmods.dev/badge/skills/nealepetrillo/claude-skills-echart/echart/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/nealepetrillo/claude-skills-echart/echart"><img src="https://agentmods.dev/badge/skills/nealepetrillo/claude-skills-echart/echart.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 | $0.00076 | $0.01852 |
| Opus 5.5 | $0.00030 | $0.00741 |
| Sonnet 5.5 | $0.00015 | $0.00370 |
| Haiku 4.5 | $0.00008 | $0.00185 |
Grade A, and why
echart 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 2mo 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 — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ECharts v6 Visualization Skill
Create professional, accessible data visualizations using Apache ECharts v6.
Version: ECharts 6.x | Download: https://github.com/apache/echarts/releases
- Design guidelines (color palettes, chart selection, accessibility): see
references/design-principles.md - Detailed code examples (all chart types): see
references/chart-examples.md
Installation
Download from GitHub releases: https://github.com/apache/echarts/releases
Files to download:
echarts.min.js- Full minified build (recommended)echarts.js- Full unminified build (for debugging)
Place the file in your project (e.g., ./lib/echarts.min.js or ./vendor/echarts.min.js).
Core Pattern
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<script src="./lib/echarts.min.js"></script>
</head>
<body>
<div id="chart" style="width: 800px; height: 500px;"></div>
<script>
const chart = echarts.init(document.getElementById('chart'));
const option = {
// Configuration goes here
};
chart.setOption(option);
window.addEventListener('resize', () => chart.resize());
</script>
</body>
</html>
CDN (Only if explicitly requested)
<script src="https://cdn.jsdelivr.net/npm/echarts@6/dist/echarts.min.js"></script>
Option Structure
The option object is the heart of ECharts configuration:
const option = {
title: { text: 'Chart Title', subtext: 'Subtitle', left: 'center' },
tooltip: { trigger: 'axis' }, // or 'item' for pie/scatter
legend: { data: ['Series 1', 'Series 2'], top: 'bottom' },
grid: { left: '10%', right: '10%', bottom: '15%', containLabel: true },
xAxis: { type: 'category', data: ['A', 'B', 'C'] },
yAxis: { type: 'value' },
series: [
{ name: 'Series 1', type: 'bar', data: [10, 20, 30] }
],
toolbox: { feature: { saveAsImage: {}, dataZoom: {} } },
dataZoom: [{ type: 'slider', start: 0, end: 100 }],
color: ['#4477AA', '#EE6677', '#228833', '#CCBB44', '#66CCEE', '#AA3377'] // Paul Tol Bright
};
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.
- 2mo ago First seen · 224 lines · 76 tokens per session scan A 5630f043d70e
echart is a skill published in the GitHub repository nealepetrillo/claude-skills-echart (4 stars, last pushed 8mo ago), licensed MIT. It adds 76 tokens to every session and 1,852 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 2026-08-31.
echart compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| echartnealepetrillo/claude-skills-echart | Skill | 4 | 8mo ago | MIT | A | 76 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |