echarts-mcp: Skill for Claude Code

.agents/skills/echarts/SKILL.md

echarts is a skill for Claude Code, Codex from ryuk3nd0/echarts-mcp. It costs 97 tokens per session (810 once invoked), scanned A, original, Apache-2.0.

A chart renderer based on Apache ECharts, a JavaScript library for creating data visualizations. It can produce SVG images, PNG images, or self-contained interactive HTML charts.

In plain words
What is it for?
Use it to create graphs, plots, charts, and dashboard widgets from ECharts option data for documents, chat, or web pages.
Why use it?
It removes the need to run chart rendering in a browser or manually convert charts into shareable formats.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is ryuk3nd0/echarts-mcp's own configuration. It tells Claude Code and Codex how to work on echarts-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything echarts-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ryuk3nd0/echarts-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ryuk3nd0/echarts-mcp/main/.agents/skills/echarts/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ryuk3nd0/echarts-mcp

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 echarts

README.md
[![agentmods](https://agentmods.dev/badge/skills/ryuk3nd0/echarts-mcp/echarts.svg)](https://agentmods.dev/skills/ryuk3nd0/echarts-mcp/echarts)
Your own site
<a href="https://agentmods.dev/skills/ryuk3nd0/echarts-mcp/echarts"><img src="https://agentmods.dev/badge/skills/ryuk3nd0/echarts-mcp/echarts.svg" alt="Measured on agentmods" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 810 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 $0.00097 $0.00810
Opus 5 $0.00048 $0.00405
Sonnet 5 $0.00019 $0.00162
Haiku 4.5 $0.00010 $0.00081

Measured 7d ago against content hash e588482783cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

echarts 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 7d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • echarts — 100% identical, 0 lines differ
.agents/skills/echarts/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

echarts-mcp

Render Apache ECharts charts server-side (SVG + PNG + HTML, [email protected], stateless).

What this is for

This MCP server renders static charts for an LLM to inspect and iterate on. It produces SVG and PNG and a self-contained interactive HTML page (using a pinned client echarts CDN build fed the same option). The option JSON is identical between SSR and the browser, so it can also drive a fully live client-side chart.

Available tools

render_echart

Renders an ECharts option to one or more output formats. Returns the artifact(s) AND the echoed option.

  • option (required) — a full ECharts v6 option object, passed through unchanged.
  • formats["svg"] (default), or any subset/combination of "svg", "png", "html".
    • "svg" → raw SVG text (zero native deps).
    • "png" → base64 PNG image (needs the optional @napi-rs/canvas dependency).
    • "html" → a self-contained interactive HTML page.
  • width / height — logical pixels (default 800×500).
  • devicePixelRatio — DPI multiplier for PNG (default 2).
  • theme — built-in name ("light", "dark") or an inline JSON theme object.
  • background"transparent" (default) or any CSS color.
  • animationfalse (default) for deterministic output.
  • exportToUrl — persist the artifact and return a public URL (needs MCP_EXPORT_DIR + MCP_EXPORT_BASE_URL).

Example option:

{
  "xAxis": { "type": "category", "data": ["Mon", "Tue", "Wed"] },
  "yAxis": { "type": "value" },
  "series": [{ "type": "line", "data": [120, 200, 150], "smooth": true }]
}

validate_echart_option

Dry-run validate an option before rendering. Returns structural errors and semantic warnings (pinned to [email protected]) without producing an image.

list_chart_types

List common series types (line, bar, pie, scatter, sankey, …) for discoverability. Not an allowlist — render_echart accepts any ECharts v6 option.

Security notes

  • Remote images are disabled by default (SSRF). A PNG option that references an image://https://… URL is rejected unless the host is allowlisted via MCP_IMAGE_ALLOW_HOSTS (comma-separated exact hostnames). Inline data: images work.
  • option/theme are bounded (depth ≤ 64, ≤ 100k nodes); pathological inputs fail fast rather than degrading the local process.

Read the full file on GitHub · 71 lines

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. 7d ago First seen · 71 lines · 97 tokens per session scan A e588482783cb

Subscribe to this mod's changes

echarts is a skill published in the GitHub repository ryuk3nd0/echarts-mcp (0 stars, last pushed 20d ago), licensed Apache-2.0. It adds 97 tokens to every session and 810 once invoked, about $0.0005 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 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens