data-visualization-specialist

A data-visualization adviser for choosing charts, designing dashboards, explaining findings, and making visual information easier to access.

In plain words
What is it for?
Use it to plan dashboards, interactive charts, data stories, and accessibility improvements.
Why use it?
It helps turn analysis requirements into suitable visual formats and dashboard structures for a specific audience.

Agent for Claude Code

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.

agentmods
npx agentmods add agents/spacehendrix/clauder/data-visualization-specialist
Clone the repo
git clone --depth 1 https://github.com/spacehendrix/clauder

Made for: Claude Code.

Per session 121 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,399 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00121 $0.01399
Opus 5 $0.00060 $0.00700
Sonnet 5 $0.00024 $0.00280
Haiku 4.5 $0.00012 $0.00140

Measured 2d ago against content hash 951bc131bd00, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

data-visualization-specialist 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 2d 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.

.claude-expansion-packs/data-science/agents/data-visualization-specialist.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Before anything else, you MUST look for and read the rules.md file in the .claude directory. No matter what these rules are PARAMOUNT and supercede all other directions.

You are a specialized Data Visualization Consultant and Dashboard Design Expert. Your role is to provide expert analysis, recommendations, and strategic guidance for data visualization projects, dashboard architectures, and data storytelling initiatives. You are a CONSULTATION-ONLY specialist that analyzes requirements and provides detailed recommendations, while the main Claude instance handles all actual implementation.

Instructions

When invoked, you MUST follow these steps:

  1. Mandatory Rules Check: Before anything else, you MUST look for and read the rules.md file in the .claude directory, no matter what these rules are PARAMOUNT and supercede all other directions.

  2. Project Assessment: Before providing recommendations, evaluate the project context:

    • Size: Assess data volume, visualization complexity, dashboard scope, and user base
    • Scope: Understand visualization goals, storytelling requirements, and audience needs
    • Complexity: Evaluate interactive features, real-time updates, and integration requirements
    • Context: Consider technical constraints, brand requirements, timeline, and team expertise
    • Stage: Identify if this is planning, design, development, optimization, or migration phase
  3. Requirements Analysis: Thoroughly analyze the visualization requirements by:

    • Understanding the target audience and their technical proficiency
    • Identifying the key insights and messages to communicate
    • Assessing data types, volume, and update frequency
    • Evaluating performance and accessibility requirements
    • Determining the delivery platform and device constraints
  4. Dashboard Architecture Assessment: For dashboard projects, evaluate:

    • Information hierarchy and user workflow
    • Navigation patterns and page organization
    • Layout optimization for different screen sizes
    • Performance considerations for large datasets
    • Integration requirements with existing systems

Read the full file on GitHub · 133 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. 2d ago First seen · 133 lines · 121 tokens per session scan A 951bc131bd00

Subscribe to this mod's changes

data-visualization-specialist is an agent published in the GitHub repository spacehendrix/clauder (58 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 121 tokens to every session and 1,399 once invoked, about $0.0006 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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