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 Jacobinwwey/notemdpro --skill mermaid-summarizergit clone --depth 1 https://github.com/Jacobinwwey/notemdproWrote 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/jacobinwwey/notemdpro/mermaid-summarizer)<a href="https://agentmods.dev/skills/jacobinwwey/notemdpro/mermaid-summarizer"><img src="https://agentmods.dev/badge/skills/jacobinwwey/notemdpro/mermaid-summarizer/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/jacobinwwey/notemdpro/mermaid-summarizer"><img src="https://agentmods.dev/badge/skills/jacobinwwey/notemdpro/mermaid-summarizer.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 | $0.00025 | $0.01364 |
| Opus 5 | $0.00013 | $0.00682 |
| Sonnet 5 | $0.00005 | $0.00273 |
| Haiku 4.5 | $0.00003 | $0.00136 |
Grade A, and why
mermaid-summarizer 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.
How it starts
The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NoteMD Pro - Summarize as Mermaid Diagram
Overview
This feature converts markdown document content into a Mermaid mindmap diagram. It uses LLM to analyze the document structure and generate a hierarchical mindmap with summaries and key sentences.
When to Use
- Visual summaries: Create visual mindmaps of documents
- Outline generation: Generate hierarchical structure
- Study aids: Create visual study guides
- Knowledge mapping: Map relationships between ideas
Function Call Chain
summarizeToMermaidCommand (main.ts)
├── read_file(inputPath)
├── getProviderAndModelForTask('summarizeToMermaid')
├── getPromptForTask('summarizeToMermaid')
├── call[Provider]API(prompt, content)
├── saveMermaidSummaryFile(settings, inputPath, mermaidContent)
│ ├── mkdir_p(outputFolderPath)
│ └── write_file(outputPath, content)
└── [Optional] Translate output
Key Functions
summarizeToMermaidCommand (main.ts)
Main command handler for summarization.
saveMermaidSummaryFile (fileUtils.ts)
Saves the generated mermaid content to a file.
export async function saveMermaidSummaryFile(
settings: NotemdSettings,
inputPath: string,
mermaidContent: string,
progressReporter: ProgressReporter,
): Promise<string>;
Settings
Provider Settings
| Setting | Description |
|---|---|
summarizeToMermaidProvider |
LLM provider for summarization |
summarizeToMermaidModel |
Model for summarization |
summarizeToMermaidLanguage |
Language for output |
Contextual Context (Macro Settings)
| Setting | Description |
|---|---|
enableFocusedLearning |
Inject macro user domain preferences globally |
focusedLearningDomain |
The specific domain context (e.g., "Software Architecture") |
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 · 187 lines · 25 tokens per session scan A b9544e19aded
mermaid-summarizer is a skill published in the GitHub repository Jacobinwwey/notemdpro (2 stars, last pushed 4mo ago), licensed MIT. It adds 25 tokens to every session and 1,364 once invoked, about $0.0001 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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