awesome-second-brain: Skill for Claude Code

.claude/skills/json-canvas/SKILL.md

json-canvas is a skill for Claude Code from superuser-pal/awesome-second-brain. It costs 54 tokens per session (2,225 once invoked), scanned A, a copy of json-canvas, MIT.

A tool for creating and editing JSON Canvas files, which store visual diagrams such as mind maps and flowcharts as connected nodes.

In plain words
What is it for?
Use it to create canvases, add or connect nodes, edit existing diagrams, and validate that every connection points to an existing node.
Why use it?
It provides the file structure and checks needed to keep nodes, edges, positions, and connections valid.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is superuser-pal/awesome-second-brain's own configuration. It tells Claude Code how to work on awesome-second-brain itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything awesome-second-brain configures →

Reuse

Borrowing it

Nothing to install: this file belongs to superuser-pal/awesome-second-brain. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/superuser-pal/awesome-second-brain/main/.claude/skills/json-canvas/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/superuser-pal/awesome-second-brain

Made for: Claude Code.

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/superuser-pal/awesome-second-brain/json-canvas.svg)](https://agentmods.dev/skills/superuser-pal/awesome-second-brain/json-canvas)
Your own site
<a href="https://agentmods.dev/skills/superuser-pal/awesome-second-brain/json-canvas"><img src="https://agentmods.dev/badge/skills/superuser-pal/awesome-second-brain/json-canvas.svg" alt="Measured on agentmods" 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 2,225 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 100% copy Near-identical to another mod 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 $0.02225
Opus 5 $0.00027 $0.01112
Sonnet 5 $0.00011 $0.00445
Haiku 4.5 $0.00005 $0.00222

Measured 7d ago against content hash 97d1ae072895, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 7d 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.

Origin

This is a copy

100% identical to json-canvas — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/json-canvas/SKILL.md · 245 lines

How it starts

The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.

JSON Canvas Skill

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

4. Edit an Existing Canvas

  1. Read and parse the .canvas file as JSON
  2. Locate the target node or edge by id
  3. Modify the desired attributes (text, position, color, etc.)
  4. Write the updated JSON back to the file
  5. Validate: Re-check all ID uniqueness and edge reference integrity after editing

Read the full file on GitHub · 245 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. 7d ago First seen · 245 lines · 54 tokens per session scan A 97d1ae072895

Subscribe to this mod's changes

json-canvas is a skill published in the GitHub repository superuser-pal/awesome-second-brain (14 stars, last pushed 4mo ago), licensed MIT. It adds 54 tokens to every session and 2,225 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to json-canvas, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

canvas-create

Create new Obsidian Canvas files — blank with a starter structure, or from one of 12 template archetypes (presentation, flowchart, mind-map, gallery, dashboard, storyboard, knowledge-graph, mood-board, timeline, comparison, kanban, project-brief). Handles directory creation, slug generation, and starter zone setup.…

AgriciDaniel/claude-canvas · 90 tokens

canvas-layout

Re-layout existing Obsidian Canvas nodes using 6 spatial algorithms: grid (galleries, mood boards), dagre (flowcharts, org charts), radial (mind maps), force-directed (knowledge graphs), linear (timelines), and auto-detect. Preserves group membership, snaps to 20px grid, refits zones around content. Triggers on…

AgriciDaniel/claude-canvas · 104 tokens

autoresearch

Run a bounded, source-grounded research loop, draft a cited dossier, and optionally propose a separately reviewed canonical vault merge. Use when the user wants autonomous or deep research that may access the public web. Triggers: /autoresearch, autoresearch, research this topic, deep dive into, investigate, find…

AgriciDaniel/claude-obsidian · 80 tokens

wiki-ingest

Ingest supplied source material into an Obsidian vault with provenance and claim tracking: pasted text, files staged in the selected vault's inbox or .raw archive, or explicitly approved URLs. Use for a single source or bounded batch, not for saving an assistant answer. Triggers: ingest, ingest this file, ingest this…

AgriciDaniel/claude-obsidian · 88 tokens

canvas

Create, inspect, and update Obsidian JSON Canvas boards with text, file, link, group, and edge nodes. Use for canvas status, canvas lists, visual maps, zones, spatial layouts, adding vault notes or media to a .canvas file, and requests such as create canvas, add to canvas, or put this on the canvas.

AgriciDaniel/claude-obsidian · 72 tokens

save

Save a user-selected answer, decision, insight, or session summary into an Obsidian vault as one reviewed transaction. Use only when the user explicitly asks to preserve specific conversation content, not when they supply a file or URL to ingest. Triggers: /save, save this, save that answer, file this conversation…

AgriciDaniel/claude-obsidian · 80 tokens