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 lukaisailovic/remarkable-mcp --skill remarkable-mcpgit clone --depth 1 https://github.com/lukaisailovic/remarkable-mcpWrote 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/lukaisailovic/remarkable-mcp/remarkable-mcp)<a href="https://agentmods.dev/skills/lukaisailovic/remarkable-mcp/remarkable-mcp"><img src="https://agentmods.dev/badge/skills/lukaisailovic/remarkable-mcp/remarkable-mcp/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/lukaisailovic/remarkable-mcp/remarkable-mcp"><img src="https://agentmods.dev/badge/skills/lukaisailovic/remarkable-mcp/remarkable-mcp.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 | $0.00098 | $0.01903 |
| Opus 5.5 | $0.00039 | $0.00761 |
| Sonnet 5.5 | $0.00020 | $0.00381 |
| Haiku 4.5 | $0.00010 | $0.00190 |
Grade A, and why
remarkable-mcp 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 1mo 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
remarkable-mcp
The client exposes one tool: remarkable_execute. Pass a JavaScript async arrow function. Methods live on rme. No TypeScript. No process / require / fetch.
async () => {
const folder = await rme.mkdir({ name: "Projects" });
await rme.createNotebook({ name: "Ideas", parent: folder.id });
await rme.writeText({
notebook: "Ideas",
newPage: true,
blocks: [
{ text: "Ship it", style: "title" },
{ text: "Talk to design", style: "checkbox" },
],
});
return await rme.read({ notebook: "Ideas", page: 2 });
};
Batch related work in one call. Writes apply once after the function returns (SSH restarts xochitl; rmfakecloud commits sync). Do not call refresh() unless you need an extra apply mid-script. Return only what the user asked for.
Resolve
- notebook (also used for folders, PDFs, EPUBs): UUID, unique visible name, or
/Folder/Name. Duplicate names throwambiguous name. - page: 1-based. Write defaults: last page.
exportPagedefaults to page 1. - Ink points:
[x, y]in 0–1 from the top-left. remove= trash (parent: "trash"), not unlink.
Item: { id, name, type, fileType, parent, path, pageCount, tags, lastModified, trashed, page?, pages? }. type is notebook | folder | pdf | epub.
Page writes (writeText / writeInk / writeMermaid / addPage / removePage / exportPage) are for notebooks. PDFs/EPUBs have no ink pages — read extracts text, download returns bytes.
Handwriting is not OCR'd. Typed Type Folio text is in read. Ink is in exportPage.
search matches name/path (optional tag), not page text. To find content, list/browse then read.
Discover
| Call | Args | Returns |
|---|---|---|
rme.list |
{ includeTrash?, folder? } |
Library. Trash hidden unless includeTrash. folder limits to that folder's children. |
rme.browse |
{ path? } |
One folder (default /). A notebook path returns that single item. |
rme.search |
{ query, tag? } |
Name/path substring. tag is an extra filter. |
rme.info |
{ notebook } |
One item. Notebooks include pages[].title (first title/heading, else first line). |
rme.tags |
{} |
Sorted unique tag names on the tablet. |
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.
- 1mo ago First seen · 158 lines · 98 tokens per session scan A 685cd9eb0a2c
remarkable-mcp is a skill published in the GitHub repository lukaisailovic/remarkable-mcp (0 stars, last pushed 4d ago), licensed MIT. It adds 98 tokens to every session and 1,903 once invoked, about $0.0004 per session on Opus 5.5. 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.
Other skills, from other repositories
apify-youtube-transcript-scraper
Get YouTube captions, timestamped quotations, SRT/VTT and translated transcripts for videos, channels and playlists through the harshmaur/youtube-transcript-scraper Apify Actor.
foundry-hosted-agent-validation
Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.
skill-doc-delivery
Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables.
meta-web-to-pdf-briefing
Render a topic into a distributable PDF briefing in three steps: web search → bullet summary → styled PDF. Trigger when the user asks for a PDF briefing on a single topic.
pkf-writing
Author, update, convert, validate, persist, and render PKF (.pkf) content through message-inline, Library Asset, or Memory Page carriers. Use for structured reports, knowledge pages, delivery cards, or any .pkf body. NOT for recall, memory-graph placement, or curation decisions — those belong to the memory skill.
chat-complex-documents
Chat with and search your complex documents — ask questions, extract tables and fields, and get answers grounded in the source. Connects the hosted Unstructured Transform MCP server to parse, structure, and enrich PDFs, Word/Excel/PowerPoint, images, scanned files, emails, and 60+ other formats into clean, AI-ready…