json-canvas

json-canvas is a skill for Claude Code, Codex from pantheon-org/tekhne. It costs 54 tokens per session (2,172 once invoked), scanned A, original, MIT.

A tool for creating and editing JSON Canvas files, which describe nodes and connections on an open, infinite canvas. These files can represent mind maps, flowcharts, and other visual layouts, including in Obsidian.

In plain words
What is it for?
Creating mind maps and flowcharts, connecting visual nodes, and working with Obsidian .canvas files.
Why use it?
It provides a structured format for visual canvases that can be generated and changed programmatically. The layout and connections remain editable rather than becoming a fixed image.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Creating mind maps and flowcharts, connecting visual nodes, and working with Obsidian .canvas files.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pantheon-org/tekhne/json-canvas
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 pantheon-org/tekhne --skill json-canvas
Clone the repo
git clone --depth 1 https://github.com/pantheon-org/tekhne

Made for: Claude Code, Codex.

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 json-canvas

README.md
[![agentmods](https://agentmods.dev/badge/skills/pantheon-org/tekhne/json-canvas/github.svg)](https://agentmods.dev/skills/pantheon-org/tekhne/json-canvas)
Your own site
<a href="https://agentmods.dev/skills/pantheon-org/tekhne/json-canvas"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/json-canvas/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 json-canvas

Your own site · 80×15
<a href="https://agentmods.dev/skills/pantheon-org/tekhne/json-canvas"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/json-canvas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,172 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00054 $0.02172
Opus 5 $0.00027 $0.01086
Sonnet 5 $0.00011 $0.00434
Haiku 4.5 $0.00005 $0.00217

Measured 9d ago against content hash 187283b1235e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

json-canvas 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 9d 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.

skills/documentation/obsidian/json-canvas/SKILL.md · 194 lines

How it starts

The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.

JSON Canvas Skill

Mindset

JSON Canvas is a minimal open standard: nodes positioned on an infinite grid, connected by edges. The entire spec fits in two arrays. Design with this simplicity in mind — when a layout feels complex, it is usually a positioning or ID-management problem, not a schema problem.

When to apply: Creating or editing .canvas files, building visual mind maps or flowcharts in Obsidian, or generating canvas files programmatically. When NOT to apply: The user wants a Markdown note, a database view (use Bases), or a diagram format that outputs to image/PDF — JSON Canvas is a live interactive format, not a rendering target.

File Structure

A canvas file (.canvas) contains two top-level arrays following the JSON Canvas Spec 1.0:

{
  "nodes": [],
  "edges": []
}
  • nodes (optional): Array of node objects
  • edges (optional): Array of edge objects connecting nodes

Common Workflows

1. Create a New Canvas

  1. Create a .canvas file with the base structure {"nodes": [], "edges": []}
  2. Generate unique 16-character hex IDs for each node (e.g., "6f0ad84f44ce9c17")
  3. Add nodes with required fields: id, type, x, y, width, height
  4. Add edges referencing valid node IDs via fromNode and toNode
  5. Validate: Parse the JSON to confirm it is valid. Verify all fromNode/toNode values exist in the nodes array

2. Add a Node to an Existing Canvas

  1. Read and parse the existing .canvas file
  2. Generate a unique ID that does not collide with existing node or edge IDs
  3. Choose position (x, y) that avoids overlapping existing nodes (leave 50-100px spacing)
  4. Append the new node object to the nodes array
  5. Optionally add edges connecting the new node to existing nodes
  6. Validate: Confirm all IDs are unique and all edge references resolve to existing nodes

3. Connect Two Nodes

  1. Identify the source and target node IDs
  2. Generate a unique edge ID
  3. Set fromNode and toNode to the source and target IDs
  4. Optionally set fromSide/toSide (top, right, bottom, left) for anchor points
  5. Optionally set label for descriptive text on the edge
  6. Append the edge to the edges array
  7. Validate: Confirm both fromNode and toNode reference existing node IDs

Read the full file on GitHub · 194 lines

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. 9d ago First seen · 194 lines · 54 tokens per session scan A 187283b1235e

Subscribe to this mod's changes

json-canvas is a skill published in the GitHub repository pantheon-org/tekhne (10 stars, last pushed yesterday), licensed MIT. It adds 54 tokens to every session and 2,172 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 2026-09-03.

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