Data Visualization Library

Data Visualization Library is a skill for Claude Code, Codex from docxology/template. It costs 16 tokens per session (178 once invoked), scanned A, original, Apache-2.0.

A figure-rendering layer built around Matplotlib and Seaborn, two Python libraries for making charts and statistical plots.

In plain words
What is it for?
It is for rendering charts and network figures for final documents such as PDFs, with accessibility and colour-contrast checks.
Why use it?
It helps produce readable figures in automated or server-side jobs without opening interactive windows, and keeps generated layouts consistent between runs.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for rendering charts and network figures for final documents such…

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

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 Data Visualization Library

README.md
[![agentmods](https://agentmods.dev/badge/skills/docxology/template/visualization.svg)](https://agentmods.dev/skills/docxology/template/visualization)
Your own site
<a href="https://agentmods.dev/skills/docxology/template/visualization"><img src="https://agentmods.dev/badge/skills/docxology/template/visualization.svg" alt="Measured on agentmods" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 178 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 $0.00016 $0.00178
Opus 5 $0.00008 $0.00089
Sonnet 5 $0.00003 $0.00036
Haiku 4.5 $0.00002 $0.00018

Measured 3d ago against content hash 0b1629e7a666, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

Data Visualization Library 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.

The scan reads SKILL.md. This mod also ships 14 executable files (__init__.py, advanced_plots.py, advanced/__init__.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

projects/templates/template_literature_meta_analysis/src/visualization/SKILL.md · 15 lines

What it actually says

Instructions

You are interacting with the src/visualization/ rendering layer.

Agentic Interface (MCP Strategy)

  1. Accessibility Standards Base: Implement a 16pt or larger font size floor for all axes, ticks, titles, and legends to cater to low-vision visibility in final PDFs. Avoid pure red/green contrast gradients.
  2. Deterministic Geometries: Provide static seeding (random_state=42) for algorithmic layouts like spring_layout in NetworkX spatial mappings. Layouts should not drastically warp across identical runs.
  3. Headless Safety Execution: Validate that figure generations don't invoke interactive display calls (plt.show()) mid-pipeline. The Agg backend must be functional.
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 · 15 lines · 16 tokens per session scan A 0b1629e7a666

Subscribe to this mod's changes

Data Visualization Library is a skill published in the GitHub repository docxology/template (19 stars, last pushed today), licensed Apache-2.0. It adds 16 tokens to every session and 178 once invoked, about $0.0001 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 2026-09-03.

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