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 emdashcodes/claude-code-plugins --skill mermaid-diagram-to-imagegit clone --depth 1 https://github.com/emdashcodes/claude-code-pluginsWrote 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/emdashcodes/claude-code-plugins/mermaid-diagram-to-image)<a href="https://agentmods.dev/skills/emdashcodes/claude-code-plugins/mermaid-diagram-to-image"><img src="https://agentmods.dev/badge/skills/emdashcodes/claude-code-plugins/mermaid-diagram-to-image.svg" alt="Measured on agentmods" 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 | $0.00056 | $0.01987 |
| Opus 5 | $0.00028 | $0.00993 |
| Sonnet 5 | $0.00011 | $0.00397 |
| Haiku 4.5 | $0.00006 | $0.00199 |
Grade A, and why
mermaid-diagram-to-image 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 8d 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 — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mermaid Diagram to Image
Convert Mermaid diagrams to high-quality images in PNG, SVG, or PDF formats using the mermaid-cli tool.
When to Use This Skill
Activate this skill when:
- Generating Mermaid diagram syntax and wanting to provide a visual representation to the user
- Converting existing Mermaid diagrams (from files or discussion context) to image formats
- User requests diagram visualization in a specific format (PNG for embedding, SVG for web, PDF for print)
Quick Start
To convert a Mermaid diagram to an image:
- Identify the source - Determine if working with diagram content, a file path, or inline Mermaid syntax
- Create temporary file if needed - Use
mktemp -t mermaid-XXXXXX.mmdfor inline content - Run conversion - Execute mmdc with appropriate flags (input, output, dimensions, theme)
- Clean up - Use
rm -f /path/to/temp.mmdto remove temporary file - Report results - Confirm successful conversion with output filename
Conversion Workflow
Step 1: Parse Input
Determine the source of the Mermaid diagram:
- Diagram content in context - Mermaid syntax recently generated or discussed
- File path - User provides a path to a
.mmdor.mdfile - Inline Mermaid content - Raw Mermaid syntax provided by user
- Format preferences - User specifies output format (PNG, SVG, PDF) and options
Step 2: Set Up Variables
Establish conversion parameters with sensible defaults:
Output Format
- Default:
png - Options:
png,svg,pdf
Output Filename
- Default pattern:
mermaid-diagram-{SHORT_DESCRIPTIVE_NAME} - Example:
mermaid-diagram-flowchart.png,mermaid-diagram-sequence.svg - Base name on diagram type or content context
Default Image Settings (High Resolution)
- Width:
1600pixels - Height:
1200pixels - Scale:
2(for crisp rendering)
Optional Parameters
- Theme:
default,forest,dark,neutral - Background color: hex code or named color (e.g.,
transparent,white,#f0f0f0) - PDF fit:
-fflag for PDF output
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.
- 8d ago First seen · 270 lines · 56 tokens per session scan A 681a701245d0
mermaid-diagram-to-image is a skill published in the GitHub repository emdashcodes/claude-code-plugins (13 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 1,987 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 2026-08-30.
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