svg

A guide for creating diagrams as SVG files. SVG is a browser-supported image format made from shapes and text that can be resized without becoming blurry.

In plain words
What is it for?
Use it for architecture diagrams, threat models, comparisons, Venn diagrams, hub-and-spoke layouts, and other custom visuals.
Why use it?
It is useful when a diagram needs precise placement, custom visuals, or reliable rendering without JavaScript.

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/zate/cc-plugins/svg
Any agent
npx skills add Zate/cc-plugins --skill svg
Clone the repo
git clone --depth 1 https://github.com/Zate/cc-plugins

Made for: Claude Code, Codex.

Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,684 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 $0.00067 $0.02684
Opus 5 $0.00034 $0.01342
Sonnet 5 $0.00013 $0.00537
Haiku 4.5 $0.00007 $0.00268

Measured 2d ago against content hash 089a95376e58, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

svg 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.

plugins/diagrams/skills/svg/SKILL.md · 216 lines

How it starts

The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SVG Diagram Skill

Generate professional, whitepaper-quality diagrams as raw SVG. Each diagram should look distinct -- the right visual form for the content, not a templated layout.

When to use SVG over other formats:

  • User wants maximum visual quality and custom design
  • Diagram type lacks native support in Mermaid/D2 (threat models, comparisons, Venn, hub-spoke)
  • Pixel-precise positioning is needed
  • Output must render in any browser without JS dependencies
  • User explicitly requests SVG

When another format may be better:

  • Quick documentation diagrams that will live in GitHub markdown (Mermaid)
  • Informal whiteboard-style sketches (Excalidraw)
  • Architecture diagrams where auto-layout is preferred over manual positioning (D2)

Consult the design-system skill for color, typography, composition, and quality rules that apply across all formats.

Workflow

1. Understand Intent

Before generating anything, establish:

  • What story does the diagram tell? The answer determines the diagram type.
  • Who is the audience? (executives, engineers, customers, mixed)
  • What are the key relationships? (hierarchy, sequence, data flow, comparison, threat surface)
  • Are there source documents? Read them -- extract real terminology and structure.

2. Choose the Right Diagram Type

This is the most important decision. Do not default to a layered architecture stack. Each content type has a natural visual form:

Content Best Diagram Type Why
System components and layers Layered architecture Shows hierarchy and containment
Request/response lifecycle Sequence diagram Shows temporal ordering between actors
Data or process pipeline Flow diagram (LTR or TTB) Shows transformation steps
Attack surface / threat model Threat flow with trust boundaries Shows where controls intersect threats
Before/after or option comparison Side-by-side comparison Shows contrast
Central service with consumers Hub and spoke Shows radial relationships
Capability x category mapping Matrix / grid Shows coverage
State transitions State machine Shows conditions and transitions
Timeline with milestones Roadmap / timeline Shows progression
Org/team responsibility Swimlane diagram Shows who does what
Token/identity merging Composition diagram Shows inputs converging to output
Decision logic Decision tree / flowchart Shows branching paths
Set overlaps Venn diagram Shows shared/unique characteristics

Read the full file on GitHub · 216 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 216 lines · 67 tokens per session scan A 089a95376e58

Subscribe to this mod's changes

svg is a skill published in the GitHub repository Zate/cc-plugins (10 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 2,684 once invoked, about $0.0003 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 2026-08-31.

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