coret-mindmap

coret-mindmap is a skill for Claude Code, Codex from Rama-Digital/coret-agent-kit. It costs 80 tokens per session (831 once invoked), scanned A, original, MIT.

A skill for creating and managing live mind maps in Coret, an online workspace for arranging ideas as connected nodes. It covers maps, notes, drawings, images, exports, and sharing.

In plain words
What is it for?
Use it to create, inspect, update, illustrate, export, or share Coret mind maps from notes, plans, meetings, research, or outlines.
Why use it?
It turns unstructured material such as meeting notes or research into an organized visual structure, while providing rules for safely inspecting and changing existing maps.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the coret plugin — 1 skill, 1 MCP server shipped together

Good fit Use it to create, inspect, update, illustrate, export, or share Coret mind maps from notes, plans, meetings, research, or outlines.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rama-digital/coret-agent-kit/coret-mindmap
Install

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.

Any agent
npx skills add Rama-Digital/coret-agent-kit --skill coret-mindmap
Clone the repo
git clone --depth 1 https://github.com/Rama-Digital/coret-agent-kit

Made for: Claude Code, Codex.

Or install coret, the plugin that ships this one along with the rest of its 1 skill, 1 MCP server.

Wrote 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.

agentmods badge for coret-mindmap

README.md
[![agentmods](https://agentmods.dev/badge/skills/rama-digital/coret-agent-kit/coret-mindmap/github.svg)](https://agentmods.dev/skills/rama-digital/coret-agent-kit/coret-mindmap)
Your own site
<a href="https://agentmods.dev/skills/rama-digital/coret-agent-kit/coret-mindmap"><img src="https://agentmods.dev/badge/skills/rama-digital/coret-agent-kit/coret-mindmap/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.

agentmods 80×15 button for coret-mindmap

Your own site · 80×15
<a href="https://agentmods.dev/skills/rama-digital/coret-agent-kit/coret-mindmap"><img src="https://agentmods.dev/badge/skills/rama-digital/coret-agent-kit/coret-mindmap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 831 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00080 $0.00831
Opus 5.5 $0.00032 $0.00332
Sonnet 5.5 $0.00016 $0.00166
Haiku 4.5 $0.00008 $0.00083

Measured 2mo ago against content hash 8f04c80826e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

coret-mindmap 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 2mo 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.

plugins/coret/skills/coret-mindmap/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Coret Mind Map

Use the Coret MCP tools as the execution surface. Do not reimplement the REST API.

Before You Start

  1. Confirm the Coret MCP server is connected and has a CORET_API_KEY.
  2. Prefer a crt_test_ key while testing a new workflow. Use crt_live_ only when the user intends to change production workspace data.
  3. Before a live write, confirm the connected workspace is the intended target when the workspace is not already clear from context.
  4. Use get_skill_doc when you need request schemas, limits, image metadata, sharing rules, or response examples. Do not guess undocumented fields.
  5. Never print, store, commit, or place the API key in a URL, prompt, map, log, or share link.

Workflow

Read or Inspect

  • Use list_maps to find the target instead of guessing an ID.
  • Use get_map or list_nodes before changing an existing map.
  • Preserve node IDs, notes, ordering, styles, and unrelated branches unless the user asks to change them.

Create

  1. Turn the source into a short hierarchy: one clear root, distinct branches, concise node text, and notes only where detail helps.
  2. If the user's structure is ambiguous or the write is large, show the proposed hierarchy before writing.
  3. Call create_map, read the created map to obtain its root node, then add nodes. Prefer batch_nodes for a coherent multi-node write; keep each batch at or below the documented limit.
  4. Read the final map and report its title, ID, and a compact summary of what changed.

Update

  1. Read the current map and identify the smallest set of nodes that must change.
  2. Use update_map, add_node, update_node, or batch_nodes without rebuilding unaffected branches.
  3. Read the changed map again and verify the requested state.

Images, Drawings, Sketches, Exports, and Sharing

  • For map images, call upload_image, then use the returned URL in the node image metadata described by get_skill_doc.
  • Use get_drawings and put_drawings for freehand Spidol marks directly over the mind-map canvas, such as circling or underlining existing ideas. Read first and preserve unrelated strokes; an empty array clears every stroke.
  • Use put_sketch only for a separate free-form whiteboard with boxes, sticky notes, text, arrows, or strokes. Do not use sketch when the user asks to mark the mind map itself.
  • Use export_map for JSON, Markdown, or text output.
  • Create a public share link only when the user asks to share or needs a browser link. State the permission and expiry.

Read the full file on GitHub · 58 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 2mo ago First seen · 58 lines · 80 tokens per session scan A 8f04c80826e0

Subscribe to this mod's changes

coret-mindmap is a skill published in the GitHub repository Rama-Digital/coret-agent-kit (1 stars, last pushed 3mo ago), licensed MIT. It adds 80 tokens to every session and 831 once invoked, about $0.0003 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.

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