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 agentmods add skills/jacobinwwey/notemdpro/content-generatornpx skills add Jacobinwwey/notemdpro --skill content-generatorgit 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/content-generator)<a href="https://agentmods.dev/skills/jacobinwwey/notemdpro/content-generator"><img src="https://agentmods.dev/badge/skills/jacobinwwey/notemdpro/content-generator.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 | $0.00024 | $0.01373 |
| Opus 5 | $0.00012 | $0.00687 |
| Sonnet 5 | $0.00005 | $0.00275 |
| Haiku 4.5 | $0.00002 | $0.00137 |
Grade A, and why
content-generator 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 5d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NoteMD Pro - Generate Content from Title
Overview
This feature generates comprehensive content for a note based solely on its title. It can optionally perform web research first, then generates detailed documentation including explanations, tables, equations (LaTeX), and Mermaid diagrams.
When to Use
- Create new notes: Generate detailed content from a title
- Expand outlines: Turn brief titles into full documents
- Research summaries: Get comprehensive overviews with web context
- Technical docs: Generate scientific/technical documentation
Function Call Chain
generateContentForTitle (fileUtils.ts)
├── getProviderForTask('generateTitle', settings)
├── _performResearch(app, settings, title, reporter) [IF enabled]
│ ├── SearchManager.getProvider
│ ├── provider.search(query)
│ └── fetchContentFromUrl(url)
├── call[Provider]API(prompt, title + researchContext)
├── cleanupLatexDelimiters(content)
├── refineMermaidBlocks(content) ← AUTO-FIX
└── fixMermaidSyntaxInFile(outputPath, reporter) ← AUTO-RUN AFTER LLM
└── checkMermaidErrors(content)
Key Functions (from fileUtils.ts)
generateContentForTitle
Generates content for a note based on its title using LLM.
export async function generateContentForTitle(
settings: NotemdSettings,
inputPath: string,
progressReporter: ProgressReporter,
);
batchGenerateContentForTitles
Batch generates content for all markdown files in a folder.
export async function batchGenerateContentForTitles(
settings: NotemdSettings,
folderPath: string,
progressReporter: ProgressReporter,
);
// Flow:
// 1. Get all .md files in folder
// 2. Create "complete" output folder
// 3. Process files (serial or parallel based on settings)
// 4. Move processed files to complete folder
fixMermaidSyntaxInFile
Fixes Mermaid syntax in a file (auto-run after generation).
export async function fixMermaidSyntaxInFile(
filePath: string,
reporter: ProgressReporter,
): Promise<boolean>;
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.
- 5d ago First seen · 181 lines · 24 tokens per session scan A 15d4ab0480d4
content-generator is a skill published in the GitHub repository Jacobinwwey/notemdpro (2 stars, last pushed 3mo ago), licensed MIT. It adds 24 tokens to every session and 1,373 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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