Obsidian Skills is a collection of instructions that teaches compatible coding agents to work with Obsidian vaults and their open file formats. Users employ the skills to create and edit Obsidian Markdown, Bases, JSON Canvas, and related files through agents such as Claude Code, Codex, and OpenCode. The catalogue entries are the project's own agent skills and plugin packaging.
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 kepano/obsidian-skills --skill json-canvasgit clone --depth 1 https://github.com/kepano/obsidian-skillsWrote 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/kepano/obsidian-skills/json-canvas)<a href="https://agentmods.dev/skills/kepano/obsidian-skills/json-canvas"><img src="https://agentmods.dev/badge/skills/kepano/obsidian-skills/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.
<a href="https://agentmods.dev/skills/kepano/obsidian-skills/json-canvas"><img src="https://agentmods.dev/badge/skills/kepano/obsidian-skills/json-canvas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00054 | $0.02225 |
| Opus 5 | $0.00027 | $0.01112 |
| Sonnet 5 | $0.00011 | $0.00445 |
| Haiku 4.5 | $0.00005 | $0.00222 |
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 11d 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- json-canvas — 100% identical, 0 lines differ
- json-canvas — 100% identical, 0 lines differ
- json-canvas — 100% identical, 0 lines differ
- json-canvas — 100% identical, 0 lines differ
- json-canvas — 100% identical, 4 lines differ
- json-canvas — 100% identical, 0 lines differ
- json-canvas — 100% identical, 0 lines differ
- json-canvas — 100% identical, 0 lines differ
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 objectsedges(optional): Array of edge objects connecting nodes
Common Workflows
1. Create a New Canvas
- Create a
.canvasfile with the base structure{"nodes": [], "edges": []} - Generate unique 16-character hex IDs for each node (e.g.,
"6f0ad84f44ce9c17") - Add nodes with required fields:
id,type,x,y,width,height - Add edges referencing valid node IDs via
fromNodeandtoNode - Validate: Parse the JSON to confirm it is valid. Verify all
fromNode/toNodevalues exist in the nodes array
2. Add a Node to an Existing Canvas
- Read and parse the existing
.canvasfile - Generate a unique ID that does not collide with existing node or edge IDs
- Choose position (
x,y) that avoids overlapping existing nodes (leave 50-100px spacing) - Append the new node object to the
nodesarray - Optionally add edges connecting the new node to existing nodes
- Validate: Confirm all IDs are unique and all edge references resolve to existing nodes
3. Connect Two Nodes
- Identify the source and target node IDs
- Generate a unique edge ID
- Set
fromNodeandtoNodeto the source and target IDs - Optionally set
fromSide/toSide(top, right, bottom, left) for anchor points - Optionally set
labelfor descriptive text on the edge - Append the edge to the
edgesarray - Validate: Confirm both
fromNodeandtoNodereference existing node IDs
4. Edit an Existing Canvas
- Read and parse the
.canvasfile as JSON - Locate the target node or edge by
id - Modify the desired attributes (text, position, color, etc.)
- Write the updated JSON back to the file
- Validate: Re-check all ID uniqueness and edge reference integrity after editing
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.
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.
- 11d ago First seen · 245 lines · 54 tokens per session scan A 97d1ae072895
json-canvas is a skill published in the GitHub repository kepano/obsidian-skills (48,105 stars, last pushed 3mo 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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