chart-visualization

A workflow for turning data into visual charts. It chooses a chart type based on whether the data shows trends, comparisons, proportions, relationships, flows, locations, or hierarchies.

In plain words
What is it for?
Use it to create chart images from data, including line charts, bar charts, scatter plots, maps, treemaps, organization charts, and other listed formats.
Why use it?
It removes the need to choose a chart format and prepare its settings by hand for each kind of data.

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/hk-hub/agentskills/chart-visualization
Any agent
npx skills add HK-hub/AgentSkills --skill chart-visualization
Clone the repo
git clone --depth 1 https://github.com/HK-hub/AgentSkills

Made for: Claude Code, Codex.

Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 774 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 95% copy Near-identical to another mod 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 $0.00050 $0.00774
Opus 5 $0.00025 $0.00387
Sonnet 5 $0.00010 $0.00155
Haiku 4.5 $0.00005 $0.00077

Measured 3d ago against content hash 76cd9fe631b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

chart-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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/generate.js), 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.

Origin

This is a copy

95% identical to chart-visualization — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

chart-visualization/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Chart Visualization Skill

This skill provides a comprehensive workflow for transforming data into visual charts. It handles chart selection, parameter extraction, and image generation.

Workflow

To visualize data, follow these steps:

1. Intelligent Chart Selection

Analyze the user's data features to determine the most appropriate chart type. Use the following guidelines (and consult references/ for detailed specs):

  • Time Series: Use generate_line_chart (trends) or generate_area_chart (accumulated trends). Use generate_dual_axes_chart for two different scales.
  • Comparisons: Use generate_bar_chart (categorical) or generate_column_chart. Use generate_histogram_chart for frequency distributions.
  • Part-to-Whole: Use generate_pie_chart or generate_treemap_chart (hierarchical).
  • Relationships & Flow: Use generate_scatter_chart (correlation), generate_sankey_chart (flow), or generate_venn_chart (overlap).
  • Maps: Use generate_district_map (regions), generate_pin_map (points), or generate_path_map (routes).
  • Hierarchies & Trees: Use generate_organization_chart or generate_mind_map.
  • Specialized:
    • generate_radar_chart: Multi-dimensional comparison.
    • generate_funnel_chart: Process stages.
    • generate_liquid_chart: Percentage/Progress.
    • generate_word_cloud_chart: Text frequency.
    • generate_boxplot_chart or generate_violin_chart: Statistical distribution.
    • generate_network_graph: Complex node-edge relationships.
    • generate_fishbone_diagram: Cause-effect analysis.
    • generate_flow_diagram: Process flow.
    • generate_spreadsheet: Tabular data or pivot tables for structured data display and cross-tabulation.

2. Parameter Extraction

Once a chart type is selected, read the corresponding file in the references/ directory (e.g., references/generate_line_chart.md) to identify the required and optional fields. Extract the data from the user's input and map it to the expected args format.

Read the full file on GitHub · 73 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. 3d ago First seen · 73 lines · 50 tokens per session scan A 76cd9fe631b8

Subscribe to this mod's changes

chart-visualization is a skill published in the GitHub repository HK-hub/AgentSkills (6 stars, last pushed 16d ago), licensed MIT. It adds 50 tokens to every session and 774 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to chart-visualization, differing in 2 lines, and is treated as a copy.

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