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 SSBun/csl-agent-kit --skill beautiful-mermaidgit clone --depth 1 https://github.com/SSBun/csl-agent-kitWrote 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/ssbun/csl-agent-kit/beautiful-mermaid)<a href="https://agentmods.dev/skills/ssbun/csl-agent-kit/beautiful-mermaid"><img src="https://agentmods.dev/badge/skills/ssbun/csl-agent-kit/beautiful-mermaid/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/ssbun/csl-agent-kit/beautiful-mermaid"><img src="https://agentmods.dev/badge/skills/ssbun/csl-agent-kit/beautiful-mermaid.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00055 | $0.00577 |
| Opus 5 | $0.00028 | $0.00289 |
| Sonnet 5 | $0.00011 | $0.00115 |
| Haiku 4.5 | $0.00006 | $0.00058 |
Grade A, and why
beautiful-mermaid 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 10d 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.
What it actually says
Preflight
Before rendering, verify the CLI dependency is available:
node -e "require('beautiful-mermaid'); console.log('ok')"
If that fails, ask the user before installing globally. Explain that this installs the beautiful-mermaid package on their system via npm:
npm install -g beautiful-mermaid
If the user declines installation, stop. Do not proceed with inline render scripts until preflight passes.
Setup
Use via inline Node scripts. The library exposes two main functions:
renderMermaidSVG(mermaidCode)— returns SVG string synchronouslyrenderMermaidASCII(mermaidCode)— returns ASCII art string
Usage
Create a temp Node script to render diagrams:
const { renderMermaidSVG, renderMermaidASCII } = require('beautiful-mermaid')
const diagram = `graph TD
A[Start] --> B{Decision}
B -->|Yes| C[OK]
B -->|No| D[End]`
const svg = renderMermaidSVG(diagram)
console.log(svg)
Run with node <file>.
Theming
Pass theme options as second argument:
renderMermaidSVG(code, { theme: 'tokyo-night' })
renderMermaidSVG(code, { bg: '#1e1e2e', fg: '#cdd6f4' })
Built-in themes: tokyo-night, catppuccin, nord, dracula, github, solarized, and more (15 total).
Minimal config: just bg and fg — rest derived via CSS color-mix().
For terminals, use ASCII rendering:
const ascii = renderMermaidASCII(code)
console.log(ascii)
Output handling
SVG output can be saved to file:
const fs = require('fs')
fs.writeFileSync('diagram.svg', svg)
Then display to user or reference the file path.
Supported diagram types
| Type | Mermaid syntax |
|---|---|
| Flowchart | graph TD, graph LR, graph RL |
| State diagram | stateDiagram-v2 |
| Sequence diagram | sequenceDiagram |
| Class diagram | classDiagram |
| ER diagram | erDiagram |
| XY Chart | xychart (bar, line, combined) |
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.
- 10d ago First seen · 88 lines · 55 tokens per session scan A 016adbecd1e7
beautiful-mermaid is a skill published in the GitHub repository SSBun/csl-agent-kit (10 stars, last pushed 8d ago), licensed MIT. It adds 55 tokens to every session and 577 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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