preset-mcp-visualization

preset-mcp-visualization is a skill for Claude Code from preset-io/agent-skills. It costs 45 tokens per session (563 once invoked), scanned A, original, Apache-2.0.

Instructions for creating, previewing, and updating Apache Superset charts through MCP tools. Superset is a web application for exploring data and building dashboards.

In plain words
What is it for?
Use it to generate chart configurations, create Explore links, preview visualizations, inspect chart settings, and update saved charts through MCP.
Why use it?
It helps choose the correct chart workflow and configuration without confusing saved charts, previews, datasets, metrics, or dashboard changes. It also requires checking the dataset's exact fields before building a chart.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the preset-mcp-skills plugin — 9 skills shipped together

Good fit Use it to generate chart configurations, create Explore links, preview visualizations, inspect chart settings, and update saved charts through MCP.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/preset-io/agent-skills/preset-mcp-visualization
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 preset-io/agent-skills --skill preset-mcp-visualization
Clone the repo
git clone --depth 1 https://github.com/preset-io/agent-skills

Made for: Claude Code.

Or install preset-mcp-skills, the plugin that ships this one along with the rest of its 9 skills.

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 preset-mcp-visualization

README.md
[![agentmods](https://agentmods.dev/badge/skills/preset-io/agent-skills/preset-mcp-visualization/github.svg)](https://agentmods.dev/skills/preset-io/agent-skills/preset-mcp-visualization)
Your own site
<a href="https://agentmods.dev/skills/preset-io/agent-skills/preset-mcp-visualization"><img src="https://agentmods.dev/badge/skills/preset-io/agent-skills/preset-mcp-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 preset-mcp-visualization

Your own site · 80×15
<a href="https://agentmods.dev/skills/preset-io/agent-skills/preset-mcp-visualization"><img src="https://agentmods.dev/badge/skills/preset-io/agent-skills/preset-mcp-visualization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 563 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 $0.00045 $0.00563
Opus 5 $0.00023 $0.00282
Sonnet 5 $0.00009 $0.00113
Haiku 4.5 $0.00005 $0.00056

Measured 12d ago against content hash dac145ee9b70, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

preset-mcp-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 12d 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.

plugins/preset-mcp-skills/skills/preset-mcp-visualization/SKILL.md · 38 lines

How it starts

The opening of the file, as written. The whole thing — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.

preset-mcp-visualization

Use for chart and Explore workflows through MCP.

Always

  • Treat "create", "make", or "build" a chart as saved-chart intent: use generate_chart directly. Treat "add" as saved-chart intent only when no dashboard target is named; with a dashboard target, route to preset-mcp-dashboard.
  • Use generate_explore_link for "show", "visualize", "explore", or "preview" requests with no save intent.
  • Use get_dataset_info once to resolve exact column and metric names before building the config.
  • Use get_chart_type_schema only for unfamiliar or complex chart types, or after a config validation error — not for simple bar, line, pie, table, or big-number charts.
  • Use saved metrics as saved metrics; do not treat metric names as raw columns.
  • generate_chart request shape: top-level dataset_id (not datasource_id), chart fields nested inside config, and config.chart_type uses the MCP taxonomy, currently common values such as xy, table, pie, pivot_table, mixed_timeseries, handlebars, and big_number — not a Superset viz_type string. If the needed type is not listed or validation fails, trust get_chart_type_schema.
  • Never fabricate URLs. Use URLs returned by MCP tools.

Decision Rules

  • Creation intent ("create/make/build a chart", or "add a chart" with no dashboard target): generate_chart. Do not substitute an unsaved Explore link.
  • Preview intent ("show/visualize/explore/preview"): generate_explore_link.
  • Use update_chart to change an existing saved chart.
  • Use update_chart_preview only for cached preview form data.
  • Route adding charts to dashboards to preset-mcp-dashboard.

Workflow Order

  1. Resolve the dataset and its exact columns/metrics with one get_dataset_info call.
  2. Build the config and call the tool matching the user's intent (create → generate_chart).
  3. If the call returns a validation error, do not retry the same config blindly: fetch get_chart_type_schema once, fix the config against it, and retry once.
  4. Report success based on the tool response, not assumption.

Read the full file on GitHub · 38 lines

Files

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.

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. 12d ago First seen · 38 lines · 45 tokens per session scan A dac145ee9b70

Subscribe to this mod's changes

preset-mcp-visualization is a skill published in the GitHub repository preset-io/agent-skills (11 stars, last pushed yesterday), licensed Apache-2.0. It adds 45 tokens to every session and 563 once invoked, about $0.0002 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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