data-visualization

data-visualization is a skill for Claude Code, Codex from juspay/xyne-spaces. It costs 31 tokens per session (217 once invoked), scanned A, original, Apache-2.0.

A guide for designing charts, diagrams, dashboards, and other displays of data so people can read them accurately. It covers choosing visual forms, labels, colors, annotations, responsive layouts, and empty or illustrative data states.

In plain words
What is it for?
Use it to choose charts for comparisons, trends, composition, relationships, flows, or exact lookups, and to add accessible explanations.
Why use it?
It helps avoid misleading charts, fabricated values, unreadable labels, and visuals that stop working on smaller screens.

Skill for Claude CodeCodex

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 skills/juspay/xyne-spaces/data-visualization
Any agent
npx skills add juspay/xyne-spaces --skill data-visualization
Clone the repo
git clone --depth 1 https://github.com/juspay/xyne-spaces

Made for: Claude Code, Codex.

Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 217 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 $0.00031 $0.00217
Opus 5 $0.00015 $0.00109
Sonnet 5 $0.00006 $0.00043
Haiku 4.5 $0.00003 $0.00022

Measured 3d ago against content hash 85d1cdabe258, 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 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 3d 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.

apps/xyne-claw/design-skills/data-visualization/SKILL.md · 24 lines

What it actually says

Data visualization

Choose the simplest visual that reveals the relationship.

  • Comparison: bars. Trend: lines or areas. Composition: stacked bars or a small number of slices. Relationship: scatter. Flow or architecture: node-link diagram. Exact lookup: table.
  • Label axes, units, periods, and sources. Start quantitative bar axes at zero unless a clearly explained exception is essential.
  • Use color consistently and sparingly; do not encode crucial differences only through hue.
  • Put the key takeaway near the visual and annotate meaningful changes.
  • Avoid fabricated values. If the brief provides no data, use an explicitly labeled illustrative dataset or design an empty state.
  • Make charts reflow without shrinking labels into illegibility.

Use native HTML/CSS/SVG for self-contained artifacts. Keep SVG text accessible and provide an adjacent textual summary for complex visuals.

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. 3d ago First seen · 24 lines · 31 tokens per session scan A 85d1cdabe258

Subscribe to this mod's changes

data-visualization is a skill published in the GitHub repository juspay/xyne-spaces (134 stars, last pushed 3d ago), licensed Apache-2.0. It adds 31 tokens to every session and 217 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.