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.
npx skills add ai-analyst-lab/ai-analyst --skill visualization-patternsgit clone --depth 1 https://github.com/ai-analyst-lab/ai-analystWrote 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.
[](https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/visualization-patterns)<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/visualization-patterns"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/visualization-patterns/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.
<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/visualization-patterns"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/visualization-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00080 | $0.05612 |
| Opus 5 | $0.00040 | $0.02806 |
| Sonnet 5 | $0.00016 | $0.01122 |
| Haiku 4.5 | $0.00008 | $0.00561 |
Grade A, and why
visualization-patterns 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.
How it starts
The opening of the file, as written. The whole thing — 440 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Visualization Patterns
Purpose
Ensure every chart Claude Code produces follows high-quality design standards with named themes, consistent styling, and clear data communication.
When to Use
Apply this skill whenever generating a chart, graph, or data visualization.
When someone asks for a pie chart
Do not make the pie. Make the sorted bar (or a single stacked bar for parts of a whole), say in one sentence why (angles and areas are hard to compare; a bar shows the same shares with direct labels), and offer the pie only if they insist after seeing the bar. Producing both "to be safe" is not the standard; the bar is the deliverable.
Default Theme: Minimal
When no theme or palette is set, use the default styling without asking; offer palette options only when the user asks about themes or colors.
The minimal theme is clean, professional, and suitable for most business contexts:
- Warm off-white background (#F7F6F2) for reduced eye strain
- Focus blue accent (#0072B2, an Okabe-Ito color) for the one element the takeaway argues
- Helvetica font family
- Left-aligned titles, minimal gridlines
The swd_style() function automatically loads the minimal theme. Other available themes: nyt, economist, corporate (see Theme Definitions section).
Instructions
STEP 1: Import the SWD helpers
Start every chart with the helpers in helpers/viz/chart_helpers.py; they set the R3 background, gray-plus-accent palette, direct labels and spine cleanup that the checkpoints verify.
from helpers.viz.chart_helpers import (
swd_style, # Apply SWD matplotlib theme
highlight_bar, # Bar chart with one bar highlighted
highlight_line, # Line chart with one series highlighted
action_title, # Action title + subtitle
save_chart # Save with correct DPI and tight layout
)
# Apply SWD style FIRST (loads .mplstyle, returns color palette)
colors = swd_style()
If helpers/viz/chart_helpers.py doesn't exist: Inform the user that chart helpers are missing and you'll need to implement SWD principles manually. Then proceed with manual matplotlib following the SWD principles below.
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.
- 2d ago First seen · 440 lines · 80 tokens per session scan A 623530a5f2e7
visualization-patterns is a skill published in the GitHub repository ai-analyst-lab/ai-analyst (298 stars, last pushed 3d ago), licensed MIT. It adds 80 tokens to every session and 5,612 once invoked, about $0.0004 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 2026-09-12.
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