canvas SKILL.md skillA

canvas from kensaurus/cursor-kenji is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add kensaurus/cursor-kenji/canvas@git:20260923.cf348bd

Pins git:20260923.cf348bd in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
kensaurus/cursor-kenji
Path
skills-cursor/canvas/SKILL.md
Versions recorded
5
Latest version
git:20260923.cf348bd, committed Sep 23, 2026
First version recorded
Apr 27, 2026
Size
8,848 bytes
Repository stars
9
License
MIT

Create a live React canvas beside chat for standalone analytical artifacts that benefit from visual layout: quantitative/security/ architecture analyses, data-heavy timelines/charts/tables, interactive explorations, or repeatable tools. Do not use for simple prose or code changes.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

A canvas is a single `.canvas.tsx` file the IDE compiles so the user can open it beside the chat. Follow the workflow below in order.

## Workflow

### 1. Decide whether to use a canvas

The trigger is **user intent**, not response shape. Ask: would the user benefit from viewing this output as its **own standalone artifact**, separate from the chat? If the output is a means to an end (a drafted message, a code fix, a dashboard in another tool), skip the canvas.

**Use a canvas when the agent produces new standalone analytical output:**
- Quantitative analyses and metrics breakdowns (e.g. "send 500 requests and tell me how many fail")
- Billing or account investigations that surface structured findings from database queries
- Security audits or architecture reviews with categorized findings
- Cross-system data analyses and overlap reports
- Structured data from MCP tools (Databricks, Datadog, etc.) where the data IS the deliverable
- Financial analyses, margin decompositions, usage trend reports
- Tables with more than a handful of rows that the user asked to see

**Do NOT use a canvas when:**
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add kensaurus/cursor-kenji/canvas@sha256:aecdd3078e2f60e1

The line at the top of this page pins the label git:20260923.cf348bd, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_uhqkimywlkoia2it.svg)](https://markdownregistry.com/a/art_uhqkimywlkoia2it)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Apr 27, 2026 and Sep 23, 2026, about one every 37 days.

versioncommittedcommitsizeaudit
git:20260923.cf348bd latest2026-09-23 cf348bd 8,848 BA view · diff
git:20260820.950107c2026-08-20 950107c 8,684 BA view · diff
git:20260817.5b93a212026-08-17 5b93a21 8,720 BA view · diff
git:20260511.b91f4db2026-05-11 b91f4db 8,914 BA view · diff
git:20260427.d2f4bd12026-04-27 d2f4bd1 9,186 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8848 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

kensaurus/cursor-kenji · 9 stars · license MIT · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_uhqkimywlkoia2it
GET https://markdownregistry.com/api/v1/resolve?ref=kensaurus/cursor-kenji/canvas
GET https://markdownregistry.com/api/v1/blob/aecdd3078e2f60e1a0d610d47027f5121e9d1b8045123bf1cacad9e391638d46

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in kensaurus/cursor-kenji

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