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Json Canvas

Checked
kepano·vlatest·frontend·MIT

Visualize and manipulate JSON data structures as interactive canvases for debugging and understanding complex APIs.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add kepano/obsidian-skills --skill json-canvas -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

kepano

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned kepano/obsidian-skills at 3ccff5338e.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3ccff5338e
Manifest
skills/json-canvas/SKILL.md
Scanned
2 files, 553 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The json-canvas skill enables AI agents to generate and manipulate JSON data structures dynamically, allowing users to visualize or modify JSON objects in a structured canvas format. It supports rendering nested JSON elements as interactive components, making it easier to edit and explore complex data formats.

When to use it

  • When you need to visually inspect and edit JSON data for backend development tasks.
  • While debugging APIs that return nested JSON responses.
  • During the creation of dynamic forms or configuration files that require structured input.
  • For teaching or demonstrating how JSON structures work in a more interactive way.

Key capabilities

  • Interactive rendering of JSON objects as visual components.
  • Support for nested and hierarchical data structures.
  • Real-time editing and modification of JSON elements within the canvas.
  • Integration with backend workflows to generate or parse JSON data.

Example prompts

  • "Render this JSON object as a visual canvas: {"name": "John", "age": 30, "address": {"city": "New York"}}."
  • "Edit the 'city' field in the address section of the provided JSON structure."
  • "Generate a canvas for the following API response and highlight nested elements."

Tips & gotchas

  • Ensure that your JSON input is well-formed to avoid rendering errors.
  • This skill works best with moderately complex structures; extremely large or deeply nested data may impact performance.